I love newsletters because they’re just so low-effort. It all lands on your doorstep, and when you’ve got time in the day, you can quickly catch up.

Let me know any good ones I’ve missed!

🏆 The Big Ones: Market Leaders (500K+ Subscribers)

The Rundown AI

👥 Subscribers: 2,000,000+
📅 Frequency: Daily (Monday to Friday)
🌐 Website: therundown.ai

What makes it special: The undisputed king of AI newsletters. Founded by Rowan Cheung in early 2023, it has grown into a sprawling AI media business with seven-figure revenue, exclusive interviews with the likes of Mark Zuckerberg and Satya Nadella, and a paid AI University arm.

Content focus: 5-minute daily reads covering breaking AI news, tool reviews, and how to apply AI at work.

Best for: Business professionals, entrepreneurs, and anyone wanting comprehensive daily AI updates.

Not for: Those seeking highly technical or academic content.

Superhuman AI

👥 Subscribers: 1,500,000+
📅 Frequency: Monday to Friday + Sunday and robotics specials
🌐 Website: superhuman.ai

What makes it special: Built by brothers Zain and Awais Kahn into a six-figure monthly revenue business focused on using AI for career advancement and productivity. Sells out ads weeks in advance and has one of the slickest editorial operations in the category.

Content focus: AI work hacks, productivity tools, and career enhancement, all delivered in roughly 3 minutes a day.

Best for: Professionals who want practical, applied AI tips with their morning coffee.

Not for: Those wanting deep, original reporting or technical depth.

TLDR AI

👥 Subscribers: 920,000+
📅 Frequency: Daily
🌐 Website: tldr.tech/ai

What makes it special: Part of the wider TLDR newsletter family. Each story includes a reading-time estimate and a tight, no-fluff summary, which is why so many engineers swear by it.

Content focus: Curated daily summaries of AI, ML, and data science news in about 5 minutes.

Best for: Researchers, tech professionals, and busy readers who want quick access to what happened.

Not for: Those seeking original analysis or long-form deep-dives.

The Neuron

👥 Subscribers: 700,000+
📅 Frequency: Daily
🌐 Website: theneurondaily.com

What makes it special: Created by Northwestern alumni and now part of TechnologyAdvice following its 2025 acquisition. Famous for making complex AI topics digestible through humour and a cat mascot.

Content focus: Daily AI news with a Morning Brew-style voice. Balances accessibility with substantive coverage.

Best for: Tech professionals, founders, and anyone who wants serious AI news without it feeling like homework.

Not for: Readers looking for purely formal, academic content.

The Deep View

👥 Subscribers: 750,000+
📅 Frequency: Daily
🌐 Website: thedeepview.com

What makes it special: Founded in 2023 and read by professionals at Google, Meta, Microsoft, OpenAI, and Andreessen Horowitz. Aims for a more serious editorial tone than the daily summary crowd, with strong policy and enterprise coverage.

Content focus: Daily analysis of AI breakthroughs, policy moves, and enterprise adoption.

Best for: Executives, analysts, and enterprise practitioners who want context with their news.

Not for: Readers who only want quick tool tips or memes.

AI Tool Report

👥 Subscribers: 350,000+
📅 Frequency: Daily
🌐 Website: aitoolreport.com

What makes it special: Hit $100,000+ monthly revenue within ten months of launch. A textbook example of the highly-monetised AI newsletter playbook done well.

Content focus: 5-minute daily reads about AI tools, regulation, and safety.

Best for: Professionals who want a daily pulse on tools and policy alongside the news.

Not for: Anyone who wants long-form analysis.

🚀 High-Growth Champions (100K-500K Subscribers)

Superpower Daily

👥 Subscribers: 300,000+
📅 Frequency: Daily
🌐 Website: superpowerdaily.com

What makes it special: Strong readership at Meta, Google, Microsoft, Benchmark, and Accel. Generates five-figure revenue through strategic sponsorships and keeps engagement rates well above category averages.

Content focus: Curated AI developments, tools, and industry insights with a professional bent.

Best for: Working professionals at tech companies and AI enthusiasts.

Not for: Academic researchers or those seeking theoretical discussions.

AI Supremacy

👥 Subscribers: 213,000+
📅 Frequency: Multiple times per week
🌐 Website: ai-supremacy.com

What makes it special: Michael Spencer’s flagship Substack covering AI at the intersection of society, business, and technology. One of a handful of AI newsletters to cross the 100k Substack milestone, and consistently ranked in the Substack technology top 100.

Content focus: Independent analysis of AI news, market dynamics, and big-picture shifts in the industry.

Best for: Strategists, investors, and anyone who wants an opinionated take rather than a wire-service summary.

Not for: Readers looking for short, tool-of-the-day content.

Mindstream

👥 Subscribers: 200,000+
📅 Frequency: Daily
🌐 Website: mindstream.news

What makes it special: Launched by Adam Biddlecombe and Matt Village in 2023 with 5 subscribers, sold to HubSpot 17 months later. One of the great recent newsletter case studies, and the editorial is still very good post-acquisition.

Content focus: Daily AI and tech news with a marketing-friendly slant.

Best for: Marketers, founders, and operators who want a friendly daily briefing.

Not for: Technical audiences or deep-research readers.

Ben’s Bites

👥 Subscribers: 100,000+ (free tier)
📅 Frequency: Daily
🌐 Website: bensbites.co

What makes it special: Evolved from simple curation into sophisticated business analysis with Ben’s Bites Pro. Has driven 4 million clicks since launch and now focuses heavily on AI business use cases.

Content focus: Bite-sized AI updates with humour, plus premium business analysis for Pro subscribers.

Best for: Tech-savvy individuals, entrepreneurs, and those familiar with AI.

Not for: Complete beginners or those who prefer highly formal content.

Neat Prompts

👥 Subscribers: 100,000+
📅 Frequency: Daily
🌐 Website: neatprompts.com

What makes it special: Run by Aadit Sheth, focused on practical prompt engineering and AI use cases for business leaders. Read inside Microsoft, Google, BlackRock, and many of the firms it covers.

Content focus: Daily prompt examples, AI insights, and interviews with executives using AI inside large enterprises.

Best for: Business leaders and professionals who want to get better at using AI tools.

Not for: Academic researchers or those seeking broader AI news.

AI Breakfast

👥 Subscribers: 100,000+
📅 Frequency: 3 times per week
🌐 Website: aibreakfast.beehiiv.com

What makes it special: Long-form analysis pieces that go further than the daily summary crowd. Strong on showing how real companies are putting cutting-edge AI to work.

Content focus: AI initiatives, products, practical applications, and real-world implementations.

Best for: Data scientists, researchers, and business professionals who want depth.

Not for: Casual readers or those wanting bite-sized content.

🧠 Technical & Research Heavyweights

Import AI

👥 Subscribers: 116,000+ (free)
📅 Frequency: Weekly
🌐 Website: jack-clark.net

What makes it special: Written by Jack Clark, co-founder of Anthropic and former Policy Director at OpenAI. Running weekly since 2016 with more than 400 editions covering frontier research, governance, and safety. A staple for anyone serious about AI policy.

Content focus: Weekly summaries of new research papers, model releases, and policy moves, with Clark’s own commentary on what it all means.

Best for: Policy professionals, researchers, and anyone who wants a serious read on where the technology and the politics are going.

Not for: Readers who want a quick, scannable daily briefing.

The Batch

👥 Subscribers: Hundreds of thousands
📅 Frequency: Weekly
🌐 Website: deeplearning.ai/the-batch

What makes it special: Andrew Ng’s newsletter from DeepLearning.AI. Each issue opens with a personal letter from Ng himself, followed by a curated roundup across research, business, and culture. Trusted as a reliable, hype-free source.

Content focus: Weekly digest of important AI news with educational depth, written by people who actually build the models.

Best for: Practitioners, students, and anyone who wants AI news from a teaching perspective.

Not for: Readers who want a fast-moving daily.

Ahead of AI

👥 Subscribers: 190,000+
📅 Frequency: Roughly twice a month
🌐 Website: magazine.sebastianraschka.com

What makes it special: Written by Sebastian Raschka, one of the best technical writers in the space. The largest deep-technical AI newsletter, with each issue typically a 30-90 minute read full of diagrams, code references, and citations to original papers.

Content focus: Long-form pieces on model architectures, training methods, and new research, written for people who actually want to understand how things work.

Best for: ML engineers, researchers, and serious technical readers.

Not for: Anyone wanting a 5-minute summary or marketing-focused content.

Last Week in AI

👥 Subscribers: 180,000+ on Substack, plus a popular podcast
📅 Frequency: Weekly
🌐 Website: lastweekin.ai

What makes it special: Run by Andrey Kurenkov and Jeremie Harris. Pairs a weekly newsletter with one of the longer-running AI podcasts. Editorial tone is thoughtful and grounded, with a strong eye on safety and governance.

Content focus: Weekly written and audio summaries of the most interesting AI news, plus editorials.

Best for: Listeners and readers who want a weekly catch-up rather than daily noise.

Not for: Readers who only want tool reviews.

Deep Learning Weekly

👥 Subscribers: 213,000+
📅 Frequency: Weekly
🌐 Website: deeplearningweekly.com

What makes it special: Launched in 2018 and published by Comet ML. A serious, no-nonsense weekly that covers research, MLOps, and tooling for people working in the field.

Content focus: Curated deep-learning research, new techniques, libraries, and industry moves.

Best for: Engineers, researchers, and students who want a focused technical weekly.

Not for: Marketers, generalists, or anyone wanting a daily news fix.

Latent Space

👥 Subscribers: 182,000+ on Substack, with a podcast in the top 10 US tech charts
📅 Frequency: Weekly newsletter and podcast
🌐 Website: latent.space

What makes it special: Founded by swyx (Shawn Wang) and Alessio Fanelli. The de facto newsletter and podcast for AI engineers, with interviews featuring Greg Brockman, Andrej Karpathy, George Hotz, Simon Willison, and many of the people actually building the models.

Content focus: Builder-focused coverage of agents, models, infrastructure, and AI for science.

Best for: Developers, founders, and anyone shipping AI products.

Not for: Non-technical readers or those wanting executive summaries.

Simon Willison’s Newsletter

👥 Subscribers: 51,000+
📅 Frequency: Roughly weekly, with a monthly paid edition
🌐 Website: simonw.substack.com

What makes it special: Simon Willison coined the term “prompt injection” and helped popularise “AI slop” and “agentic engineering.” His weblog and newsletter are widely cited and quoted across the industry. Free, useful, opinionated, and always worth reading.

Content focus: Notes on LLMs, prompt injection, AI-assisted coding, and Simon’s own open source experiments.

Best for: Developers, engineers, and curious power users.

Not for: Readers wanting glossy, marketing-style content.

💼 Business & Strategy

Stratechery

👥 Subscribers: 40,000+ paying subscribers across 85+ countries
📅 Frequency: Daily Update for subscribers + weekly free article
🌐 Website: stratechery.com

What makes it special: Ben Thompson essentially invented the paid tech newsletter category. His analysis of AI strategy, big-tech moves, and platform dynamics is some of the most influential reading inside the industry. Substack’s founders cited him as a major inspiration.

Content focus: Strategic analysis of AI, technology, and media, with regular deep takes on OpenAI, Anthropic, Google, Microsoft, and Meta.

Best for: Executives, investors, and strategists who want first-principles thinking.

Not for: Readers wanting free daily news or short summaries.

Platformer

👥 Subscribers: 200,000+ weekly readers
📅 Frequency: Monday, Tuesday, and Thursday
🌐 Website: platformer.news

What makes it special: Casey Newton’s independent publication on the intersection of tech and democracy. Known for original reporting and scoops on the AI labs and platforms, with a more journalistic tone than most of the category.

Content focus: Reporting and analysis on AI companies, social platforms, content moderation, and policy.

Best for: Anyone who wants journalism on the AI beat rather than aggregation.

Not for: Readers who only want tools and prompts.

Exponential View

👥 Subscribers: 153,000+
📅 Frequency: Weekly
🌐 Website: exponentialview.co

What makes it special: Founded by Azeem Azhar, one of the most respected voices in the AI policy and economics space. Covers the broader implications of AI on society, ethics, and the global economy.

Content focus: Weekly analysis of AI’s impact on society, policy, and the future of work.

Best for: Analysts, policy makers, academics, and executives.

Not for: Those seeking casual, entertainment-focused content.

Chain of Thought (Every)

👥 Subscribers: Part of the wider Every bundle
📅 Frequency: Weekly column
🌐 Website: every.to/chain-of-thought

What makes it special: Dan Shipper’s weekly exploration of AI, tools for thought, and the psychology of work. Sharp, personal writing read widely by founders, operators, and investors.

Content focus: Reflections and experiments at the edge of AI and creative work.

Best for: Founders, operators, and people who want a thinking partner rather than a news feed.

Not for: Readers wanting daily news or technical depth.

📣 Marketing & Creator-Focused

Marketing AI Institute

👥 Subscribers: 100,000+
📅 Frequency: Multiple times per week
🌐 Website: marketingaiinstitute.com

What makes it special: Paul Roetzer’s long-running effort to make AI accessible to marketers. The blog, newsletter, podcast, and MAICON conference together form one of the most established marketing-AI ecosystems out there.

Content focus: Marketing-specific AI news, case studies, and education.

Best for: Marketing leaders and teams trying to put AI into practice.

Not for: Engineers or non-marketing readers.

AI Vibes

👥 Subscribers: 20,000+
📅 Frequency: Weekly (Thursdays)
🌐 Website: aiwithvibes.com

What makes it special: Acquired and rebranded under Jake Cohn, now focused specifically on AI for marketing professionals. Hosts the annual AI Vibes Summit.

Content focus: AI tools and strategies for marketing, with case studies and actionable insights.

Best for: Marketing professionals and content creators.

Not for: Technical audiences or those outside marketing.

The Signal

👥 Subscribers: 55,000+
📅 Frequency: Weekly (Sundays)
🌐 Website: thesignal.so

What makes it special: Alex Banks’ weekly cut-through-the-noise newsletter. Clean, well-designed, and built around a single big idea each week, with prompts, tools, and use cases for working professionals.

Content focus: One curated theme per week with tools and examples.

Best for: Marketers and operators who want a weekly highlight reel.

Not for: Readers who want breaking news.

📚 Specialised & Niche Leaders

One Useful Thing

👥 Subscribers: 436,000+
📅 Frequency: Roughly weekly
🌐 Website: oneusefulthing.org

What makes it special: Wharton professor Ethan Mollick’s hugely popular Substack on what AI is actually doing for work, education, and life. Every post is written by Mollick himself, not delegated to AI, and the writing is unusually clear-eyed.

Content focus: Practical experiments and reflections on using AI at work and in education.

Best for: Educators, knowledge workers, and curious leaders.

Not for: Daily news junkies.

Why Try AI

👥 Subscribers: 16,000+
📅 Frequency: Weekly
🌐 Website: whytryai.com

What makes it special: Daniel Nest’s hands-on, hype-free newsletter for non-techies. Strong tutorials, side-by-side tool comparisons, and a searchable library of practical tips for getting more out of ChatGPT, Claude, Midjourney, and the rest.

Content focus: Step-by-step guides, model comparisons, and practical AI workflows.

Best for: Non-technical readers who want to get good at using AI tools.

Not for: Engineers or researchers wanting depth.

AI Weekly

👥 Subscribers: 42,000+ (since 2017)
📅 Frequency: 3 times per week
🌐 Website: aiweekly.co

What makes it special: One of the older AI newsletters around, with a tight, no-fluff curation style. Sister newsletter AI Essentials covers what industry leaders are reading.

Content focus: Curated AI news, funding, model releases, regulation, and applications.

Best for: Professionals who want a serious, evergreen briefing several times a week.

Not for: Those wanting daily updates or pure tools content.

AI Tangle

👥 Subscribers: Loyal following
📅 Frequency: Twice a week
🌐 Website: aitangle.com

What makes it special: Picks stories that other newsletters miss, with concise commentary and tool recommendations. Part of the AIE Network of business-focused AI publications.

Content focus: AI news roundup with unique story selection and a business angle.

Best for: Readers wanting alternative perspectives and stories beyond the daily summary cycle.

Not for: Those needing real-time updates or deep technical analysis.

Chain of Thought (Crypto/AI)

👥 Subscribers: 10,000+
📅 Frequency: Weekly brief plus regular long-form research
🌐 Website: chainofthought.xyz

What makes it special: Teng Yan’s research newsletter covering the convergence of AI and crypto, with detailed research pieces on infrastructure, agents, and decentralised compute. Independent, well-researched, and surprisingly readable.

Content focus: Research on AI x crypto, agents, and the on-chain machine economy.

Best for: Investors, builders, and traders at the AI/crypto intersection.

Not for: Readers with no interest in crypto.

📊 Industry Trends Shaping AI Newsletters

The Daily Takeover

Most successful AI newsletters have shifted to daily publication, recognising that AI moves too fast for weekly updates. The 5-minute daily format has become the gold standard.

Business Focus Dominates

Content has shifted dramatically from academic research to practical business applications. Publications emphasising actionable insights outperform those focusing on theory.

Monetisation Evolution

Successful newsletters now use hybrid service-media models, offering consulting and implementation services alongside content. Some achieve $10,000+ monthly revenue with just 1,000 subscribers.

AI-Powered Creation

Many newsletters now use AI for research, writing, and curation while maintaining human oversight for quality control. This automation is what makes the daily publication schedules possible.

Community Integration

Leading newsletters incorporate polls, discussions, and interactive elements. Simple content consumption is no longer enough; readers want engagement.

🎯 How to Choose the Right AI Newsletter for You

For Business Leaders

• Primary: The Rundown AI (comprehensive daily updates)
• Secondary: Stratechery (strategic depth) and Exponential View (long-view thinking)

For Technical Professionals

• Primary: Import AI (frontier research and policy)
• Secondary: Ahead of AI (technical depth), Latent Space (engineering), and TLDR AI (quick summaries)

For Marketing Professionals

• Primary: Marketing AI Institute (marketing-specific)
• Secondary: AI Vibes, The Signal, and The Rundown AI for general context

For Entrepreneurs & Startups

• Primary: Ben’s Bites (business insights)
• Secondary: Mindstream (daily briefing) and Superhuman AI (productivity)

For Tool Discovery

• Primary: AI Tool Report (daily tool updates)
• Secondary: Why Try AI (practical tutorials) and Neat Prompts (prompt examples)

For Academic and Research Readers

• Primary: The Batch by Andrew Ng (research authority)
• Secondary: Deep Learning Weekly (technical depth) and Ahead of AI (architecture research)

For Journalism & Reporting

• Primary: Platformer (original reporting)
• Secondary: The Deep View (enterprise context) and Last Week in AI (weekly catch-up)

💡 Pro Tips for Maximum Value

1. Start with 2-3 newsletters maximum to avoid information overload.
2. Choose one daily and one weekly to balance currency with depth.
3. Use newsletter aggregation tools like Mailbrew to manage multiple subscriptions.
4. Set up a dedicated email folder to keep AI content separate from the rest of your inbox.
5. Actually read them consistently rather than subscribing to everything and reading nothing.

The question isn’t “which is the best?” any more. They’ve all crossed the quality threshold. The question is: which AI image generator should you use, based on what you’re trying to make?

I’ve spent the past year using all of them for real work — social graphics, marketing visuals, thumbnails, product mockups, brand assets. This is a straightforward guide to what each tool does well, where it falls short, and when to use it.

Nano Banana Pro — the best all-rounder

Read my Nano Banana prompt guide with lots of prompts for marketing, here 😊 

Nano Banana Pro is Google’s image generation model, available inside Gemini. It’s built on the Gemini 3 Pro architecture and was released in November 2025. If you only use one AI image generator, this is the one.

What sets it apart is that it genuinely understands what it’s creating. It reasons about the scene before rendering it — how light interacts with surfaces, how objects sit in space, how shadows fall. The result is images with a photographic quality that most competitors can’t match. Textures look real. Skin looks like skin, not plastic. Paper looks like paper. For marketing, where “authentic” beats “perfect,” that matters enormously.

It’s also one of the strongest at rendering readable text inside images. If you need a poster mockup, a social graphic with a headline, or an infographic, Nano Banana Pro gets the words right far more often than most generators. And the editing capabilities are impressive — you can ask it to change specific elements of an image (swap an object, adjust lighting, change a colour) without the whole thing falling apart.

The downsides are worth knowing. It stamps a visible watermark on every image generated through Gemini, which is annoying for professional use. You can crop it or use third-party tools to remove it, but it’s an extra step. The free tier is also limited — after a few generations, non-paying users get routed to the standard Nano Banana model rather than the Pro version. To get consistent Pro-quality output, you’ll need Google AI Pro.

Use it for: Product shots, social media graphics, marketing visuals, any image where realism and accuracy matter. Your default choice for most jobs.

Midjourney — when it needs to look stunning

Midjourney is the tool you reach for when visual impact is the priority. It’s been the benchmark for artistic quality in AI image generation since its early days, and V7 (the current default model, with V8 now in alpha) has only widened that lead.

The aesthetic quality is distinctive. Midjourney images have a richness — in lighting, colour, composition, and mood — that feels more like fine art or editorial photography than AI output. Concept artists, designers, and brand teams use it for mood boards, campaign visuals, fantasy illustrations, and anything where the image needs to stop someone mid-scroll.

V7 brought some meaningful practical improvements. Prompt adherence is significantly better — it drops fewer details and misinterprets instructions less often. The new personalisation feature learns your aesthetic preferences after you rate around 200 images, so over time the outputs skew toward your taste. Draft Mode lets you generate quick, cheap previews before committing to full renders, which speeds up the ideation process.

The big weakness is text. Midjourney is still unreliable at rendering readable words inside images. Logos get distorted, titles get misspelled, signage comes out garbled. If your image needs legible text, use a different tool.

There’s no free tier. Plans start at $10 per month for Basic (limited fast generations) and go up to $120 per month for Mega. For most people creating content regularly, the Standard plan at $30 per month with unlimited relaxed generations is the practical choice.

Use it for: Concept art, editorial imagery, mood boards, campaign visuals, brand storytelling — anything where the image needs to be genuinely beautiful. Not for thumbnails, posters, or anything requiring readable text.

ChatGPT — fast conversational iteration

ChatGPT’s image generation (powered by GPT Image 1.5) has improved substantially, but it occupies a specific niche rather than competing across the board.

The standout feature is the conversational workflow. You generate an image, then refine it through natural language: “make it warmer,” “change the background to a kitchen,” “add a second person.” ChatGPT understands context and iterates without you having to re-prompt from scratch. For rapid experimentation — knocking out multiple variations quickly, testing different directions — this is genuinely efficient.

The weakness is visual homogeneity. ChatGPT images have a very recognisable style, and it’s everywhere. Scroll LinkedIn or Instagram for five minutes and you’ll spot it: that slightly glossy, illustration-heavy look that’s become the default aesthetic of AI-generated content in 2026. If you’re using ChatGPT for images, your visuals will blend in with everyone else’s.

It also refuses to generate images of real, identifiable people. For some use cases (editorial commentary, news illustration, satire) that’s a meaningful limitation.

Image generation is included with ChatGPT Plus at $20 per month, which also gets you the full ChatGPT feature set. Free users get limited access.

Use it for: Quick concept exploration, iterative refinement through conversation, mockups where speed matters more than polish. Not for final creative assets or anything that needs a distinctive visual style.

Ideogram — the specialist for text in images

Every AI image generator claims to handle text. Most of them are terrible at it. Ideogram is the exception.

If you need a poster with a headline, a YouTube thumbnail with a title, a social graphic with a call to action, or any visual where words need to be spelled correctly and look natural, Ideogram is the most reliable choice. It renders typography with roughly 90% accuracy — a figure that sounds modest until you compare it to the near-random letter arrangement that most generators produce.

Beyond text, Ideogram is a solid general-purpose image generator. It handles compositions well, follows prompts accurately, and produces clean output. But text rendering is the reason to choose it specifically over the alternatives.

The free plan gives you 12 slow credits per day, which is enough to test it. The Basic paid tier is $15 per month, with higher tiers available for heavier use.

Use it for: Any image that includes readable text — posters, thumbnails, social graphics with headlines, signage mockups, branded materials. The go-to tool when words matter.

Adobe Firefly — the safe choice for client work

Adobe Firefly occupies a unique position. Judged purely as a standalone text-to-image generator, it’s inconsistent — some prompts produce excellent results, others are underwhelming. But that misses the point of what Firefly is for.

Firefly’s strength is integration and commercial safety. It’s built directly into Photoshop and Illustrator, which means you can use it within your existing creative workflow without switching apps. The Generative Fill feature in Photoshop is genuinely brilliant — select an area of a photo, describe what you want, and it fills it convincingly. Background extension, object removal, element addition: these production editing tasks are where Firefly earns its place.

The other major advantage is licensing. Adobe trained Firefly exclusively on Adobe Stock, openly licensed content, and public domain material. They offer IP indemnification for commercially generated content. If you’re producing work for clients, agencies, or brands where copyright risk carries real financial consequences, Firefly is the safest option available.

Pricing is credit-based. The standalone Firefly Standard plan is $9.99 per month for 2,000 credits. If you already subscribe to Photoshop (from $19.99 per month), you get a smaller allocation of generative credits included.

Use it for: Editing real photos in Photoshop (extending, filling, swapping), any project where commercial licensing clarity is essential. Best as a production tool rather than a creation-from-scratch tool.

Recraft — the only option for vectors

Recraft solves a problem that no other major generator addresses: vector output.

Every other tool on this list outputs raster images — PNGs and JPGs. Recraft generates native SVG files. That means scalable graphics you can open in Adobe Illustrator, Figma, or any vector editor and actually work with — resize without quality loss, adjust paths, recolour elements.

For graphic designers working on logos, icon sets, brand identity systems, or any asset that needs to scale from a favicon to a billboard, this is uniquely valuable. Recraft also includes editing tools (background removal, inpainting, upscaling) and supports custom style creation, so you can maintain visual consistency across a batch of assets without training a model.

Beyond vectors, Recraft handles raster image generation well too. The model produces strong results across photorealism, illustration, and stylised output. But the SVG capability is the reason you’d choose it specifically.

The free tier gives you 30 credits per day. The Basic paid plan is $10 per month for 1,000 credits and commercial usage rights.

Use it for: Logos, icons, brand assets, illustrations, and any design work that needs vector output. Also useful for maintaining brand consistency across multiple generated assets.

Grok — the one that generates real people

Grok, built by Elon Musk’s xAI and available through X (formerly Twitter), is the outlier on this list. Its distinguishing feature is that it will generate images of recognisable public figures — something every other major generator explicitly refuses to do.

ChatGPT won’t do it. Gemini won’t do it. Midjourney won’t do it. Grok will. It will also generate images in named artist styles and include brand logos without being asked, both of which other generators deliberately block.

This permissiveness has come at a cost. In late 2025 and early 2026, Grok faced a major controversy when users exploited its loose guardrails to generate sexualised images of real people, including celebrities and — alarmingly — minors. Regulators in the UK, Ireland, Australia, Canada, Brazil, and the EU all opened investigations or demanded action. X eventually restricted some of the worst capabilities, but Grok’s content policies remain significantly looser than any competitor.

If you have a legitimate editorial, commentary, or creative need to include a recognisable public figure in a generated image, Grok is currently the only mainstream option. But the ethical context around how you use it matters. The fact that the tool permits something doesn’t mean it’s appropriate or wise.

Image generation is available through the Grok app and X, with a SuperGrok subscription at $30 per month for full access.

Use it for: Generating images of recognisable public figures when there’s a legitimate reason to do so. Use carefully and responsibly.

So which AI image generator should you actually use?

For most marketing and content work, Nano Banana Pro is the default. It handles the widest range of tasks at the highest quality, with strong realism, good text rendering, and capable editing.

When you need something visually striking — concept art, editorial imagery, campaign mood boards — switch to Midjourney.

When text in the image matters — thumbnails, posters, social graphics with headlines — use Ideogram.

When you’re editing real photos or need commercially safe assets for client work — use Adobe Firefly inside Photoshop.

When you need vector output for logos, icons, or scalable brand assets — use Recraft.

When you need fast iteration and conversational refinement — ChatGPT is efficient for exploration, just be aware the outputs look like everyone else’s.

When you specifically need a recognisable public figure — Grok is the only option, but tread carefully!

The honest answer is that most professionals will end up using two or three of these regularly. The tools are good enough now that the deciding factor isn’t quality in the abstract — it’s which tool best fits the specific job in front of you.

Anthropic rolled this out quietly in March 2026 as part of the Claude desktop app. The feature lives inside something called Cowork mode, and there’s a companion feature called Dispatch that lets you send Claude instructions from your phone while you’re away from your desk.

I’ve been using it daily. The setup is straightforward, but there are a handful of settings buried in menus that are easy to miss. This guide walks you through everything, start to finish, in about five minutes.

What you need before you start

A few prerequisites:

• A Mac. Windows support is expected soon, but for now it’s macOS only.
• The Claude desktop app. Download it from claude.ai/download if you haven’t already.
• A paid plan. Either Pro ($20/month) or Max (from $100/month). Computer Use is available on both personal and team plans.

If you’ve already got the desktop app on a paid plan, you’re ready to go.

Turn on the right settings

Open the Claude desktop app and click your name in the bottom left corner, then click Settings.

In the left sidebar, you’ll see a section called Desktop app. Click General. This is where the key toggles live:

1. Browser Use: turn this on. It lets Claude browse and interact with websites in Chrome.
2. Computer use: turn this on too. When you toggle it, you’ll see a confirmation dialog explaining what Claude will be able to do (take screenshots, control your keyboard and mouse). Read it and click Turn on.
3. Accessibility and Screen recording: scroll down and grant both of these permissions. macOS will prompt you for them.

One thing worth doing while you’re here: look at the Denied apps section. You can add any app you don’t want Claude to interact with. I’d recommend adding your password manager at the very least.

With those settings turned on, you’ll see three tabs at the top of the Claude desktop app: Chat, Cowork, and Code. Click Cowork to enter the mode where Claude can work with your files, browse the web, and control your computer.

This is where the real work happens. You can type something like “Go to my Google Analytics in Chrome and tell me how many visitors I had yesterday” and Claude will open Chrome, navigate to GA, read the dashboard, and report back. It takes screenshots of your screen to understand what’s there, then clicks and types just like you would.

Connect your phone with Dispatch

This is the part that surprised me most. You can send Claude instructions from your phone while you’re out, and it will carry them out on your computer.

First, go to Settings > Cowork and make sure the Dispatch toggle is turned on.

Then:

1. Click Dispatch in the left sidebar of the main Claude window.
2. Click Get started. You’ll see a setup checklist with toggles for file access, keeping your computer awake, Chrome access, and computer control. Turn them all on.
3. Grant Accessibility and Screen recording permissions if macOS asks again.
4. Click Finish setup.
5. You’ll see a QR code. Scan it with your phone to download the Claude mobile app (or open it if you already have it). Make sure you’re signed into the same account on both devices.
6. On your phone, open the Claude app and go to the Dispatch tab.

That’s it. You can now type a message to Claude from your phone, and it will get to work on your computer. You’ll see its progress in real time on both devices.

One important note: your computer needs to stay awake for Dispatch to work. The setup enables a “Keep awake” toggle that prevents your Mac from sleeping while Dispatch is active. If you’re planning to use this regularly, a Mac Mini running at home is a popular setup.

Practical things to try

Computer Use works best when you give Claude a clear task with enough context. Here are some real examples, roughly ordered from simple to more involved:

• Pull data into a spreadsheet: “Go to the Meta Ads Library, search for ads about [topic] in the UK, and create a Google Sheet with links to the top 10 results.”
• Find a freelancer: “Go to Fiverr, post a job for [task], then message the top 10 freelancers. Check my DMs and follow up on anything unanswered from the last 7 days.”
• Daily briefing: “Check my Google Calendar for today’s meetings and summarise my unread emails. Flag anything urgent.”
• Competitive research: “Go to [competitor’s website], look at their pricing page, and compare their plans to ours. Put the comparison in a table.”

A general tip: be direct. Tell Claude exactly what you want done and where. If it asks clarifying questions and you just want it to get on with it, you can say “Do everything without asking me until it’s done.” It responds well to that.

Set up scheduled tasks

Once you’ve tested a few manual tasks and know your prompts work well, you can set them to run automatically. This is where things get properly useful for day-to-day work.

1. In the left sidebar, click Scheduled.
2. Click + New task (top right).
3. Give it a name and description.
4. Write your prompt. Test it manually in Cowork first to make sure it works well.
5. Choose a frequency: manual, daily, weekly, etc.
6. Click More options to select the model (Opus 4.6 is the most capable) and pick a folder for any files Claude creates.
7. Click Save. Make sure Keep awake is on so your Mac doesn’t sleep.

Here’s one of my actual scheduled tasks: every Monday at 8am, Claude scrapes trending AI TikTok videos, transcribes them, and compiles everything into a spreadsheet I can review over coffee. The prompt is detailed, but once it’s set up you never touch it again.

Some ideas to get you started:

• Daily briefing at 7am: summarise your calendar, emails, and Slack messages
• Weekly competitor scan: check competitor websites or social accounts for changes
• Social media audit: check your analytics dashboards every Monday morning
• Invoice follow-up: check your accounting app for overdue invoices and draft reminders

Getting the most from it

This is still early days, but it’s already practical enough to save real time. A few things I’ve found helpful:

• Start simple. Try a single-step task first, then build up to multi-step workflows.
• Be specific. “Go to my Substack dashboard and check yesterday’s subscriber numbers” works better than “check my newsletter stats.”
• Watch it work the first few times. You’ll learn what it handles well and where it needs clearer instructions.
• Close sensitive apps before giving Claude computer access. Add your password manager to the denied list.
• Keep your prompts. When you find one that works well, save it as a scheduled task or keep it somewhere handy.

Computer Use is still technically a research preview, so start with low-stakes tasks and build confidence from there. But if you’ve been looking for a way to offload repetitive computer work, this is the most practical option I’ve found.

I’ve spent time going through dozens of courses so you don’t have to. What follows are the 10 I’d genuinely recommend — not the usual roundup of whatever Coursera surfaces first, but courses I’ve picked because they’re practical, current, and actually useful for people who work in marketing and business.

Note: I run in-company training and public courses on AI for marketing and business. More info here.

What makes a good AI course in 2026?

Before we get into the list, here’s what I looked for — and what you should look for too.

First, genuinely free. Not “free to watch but pay for the certificate,” not “free trial for 7 days.” Actually free. Second, practical. Theory is fine, but you need to walk away knowing how to do something you couldn’t do before. Third, current. AI moves fast. A course from 2023 teaching you about GPT-3 isn’t going to cut it. And finally, relevant. Most AI courses are built for developers. These are built for people who use AI as a tool, not people who build AI as a product.

Here’s the list, roughly ordered from broadest to most specific.

1. Anthropic Academy: AI Fluency — Framework & Foundations

Platform: Anthropic Skilljar (anthropic.skilljar.com)

Length: ~1 hour of video across 14 lectures

Certificate: Yes, free

Best for: Anyone who wants a proper mental model for working with AI

This is Anthropic’s flagship course, and it’s the one I’d start with if I could only recommend one from this list. Rather than teaching you prompt tricks, it teaches a structured framework — the 4D AI Fluency model — for how to think about working with AI. That includes designing prompts, evaluating what you get back critically, and understanding where AI is genuinely useful versus where it’ll waste your time.

It was co-developed with academics from Ringling College and University College Cork, and it’s released under Creative Commons, which tells you something about the quality. It’s tool-agnostic too — you can apply what you learn to ChatGPT, Claude, Gemini, or whatever you use.

Why it matters for marketers: Most people plateau with AI because they never learn how to think about it — they just collect prompts. This course fixes that.

Take the course →

2. OpenAI Academy

Platform: OpenAI (academy.openai.com)

Length: 11 on-demand modules, self-paced

Certificate: Certifications coming late 2025/2026

Best for: Getting hands-on with ChatGPT’s full feature set

OpenAI’s own learning hub covers everything from prompt engineering basics through to deep research, data analysis, reasoning, and using ChatGPT Projects for ongoing work. It started as a developer-focused programme but expanded in 2025 to serve a much wider audience, including small business owners and marketing professionals.

The standout modules are the ones on prompt engineering, data analysis, and deep research — these are the features most marketers underuse. The content comes directly from the team building ChatGPT, so the guidance is as authoritative as it gets.

Why it matters for marketers: If ChatGPT is your primary AI tool, this is the official manual. The data analysis and deep research modules alone are worth your time.

Take the course →

3. Google Cloud Skills Boost: Introduction to Generative AI Learning Path

Platform: Google Skills (skills.google)

Length: ~2 hours total

Certificate: Digital skill badge on completion

Best for: Quick, solid grounding in how generative AI actually works

Google’s free learning path includes three short courses: Introduction to Generative AI, Introduction to Large Language Models, and Introduction to Responsible AI. The non-technical path is specifically designed for people in roles like marketing, sales, HR, and operations — not developers.

It won’t teach you how to use a specific tool, but it will give you a clear understanding of what’s happening under the bonnet. That matters when you’re evaluating AI tools, explaining AI to clients or colleagues, or trying to figure out what’s genuinely useful versus what’s hype.

Why it matters for marketers: When a client or your boss asks “but how does AI actually work?” — this is how you get confident answering that question in two hours.

Take the course →

4. Microsoft GitHub: Generative AI for Beginners

Platform: GitHub (github.com/microsoft/generative-ai-for-beginners)

Length: 21 lessons, self-paced

Certificate: No formal certificate

Best for: Ambitious learners who want to go deeper than surface-level

This is more substantial than most courses on this list. It’s a 21-lesson curriculum with quizzes, diagrams, and hands-on exercises covering prompt engineering, LLM integration, building search applications, and AI ethics. Microsoft built it as an open educational resource and it’s one of the most well-structured free AI learning programmes available anywhere.

It does get technical in places, but the early modules on prompt engineering and practical LLM usage are accessible to non-developers. If you’re the kind of person who wants to understand AI properly — not just use it — this is where you go.

Why it matters for marketers: The prompt engineering and responsible AI sections are immediately applicable. The deeper modules give you a genuine competitive edge in conversations about AI strategy.

Take the course →

5. Semrush Academy: How to Become an AI-Powered Marketer

Platform: Semrush Academy (semrush.com/academy)

Length: ~2 hours

Certificate: Yes, free

Best for: Marketers who want to apply AI to their actual job, today

This is the most directly practical course on the list for working marketers. Led by Michael Olaye, who AdAge recognised as a leading authority on AI in marketing, it covers prompt refinement, AI for strategy development, campaign planning, and content creation. It’s not theoretical — it’s built around real marketing workflows.

What I particularly like is that it goes beyond “here’s how to write a prompt” into how to think about integrating AI across your marketing process. The content creation and campaign modules are the highlights.

Why it matters for marketers: This is the one that’ll change how you work on Monday morning. It’s designed for marketers, by marketers, and it shows.

Take the course →

6. Semrush Academy: AI Visibility Essentials

Platform: Semrush Academy (semrush.com/academy)

Length: ~1.5 hours

Certificate: Yes, free

Best for: Anyone responsible for SEO or content strategy

This is the course most people haven’t heard of yet, and it might be the most important one on this list for anyone working in search. It teaches you how AI is changing SEO — from tracking prompts instead of keywords, to measuring whether your brand appears in AI-generated answers, to building content strategies that get cited by large language models.

If you’ve been wondering what “AI search optimisation” actually means in practice, this is the clearest explanation I’ve found. It covers share of voice in AI responses, prompt mapping across the customer journey, and how to build presence on the third-party sites that LLMs trust most.

Why it matters for marketers: SEO is being fundamentally reshaped by AI. This course gets you ahead of the curve while most agencies are still figuring out what’s happening.

Take the course →

7. HubSpot Academy: AI for Marketers

Platform: HubSpot Academy (academy.hubspot.com)

Length: Short course, ~1 hour

Certificate: Free on completion

Best for: Marketers who want a quick, focused introduction

HubSpot’s AI for Marketing course covers using AI for content creation, personalising customer experiences, and evaluating AI tools responsibly. It’s shorter and less in-depth than some others on this list, but it’s focused and well-produced.

If you already use HubSpot, the integration angle is useful. But even if you don’t, the sections on responsible AI evaluation and practical content creation workflows are solid. It’s a good one to recommend to team members who need to get up to speed quickly.

Why it matters for marketers: It’s the fastest course on this list to complete and it’s specifically built for marketing professionals. Good for getting a team aligned on AI basics without asking for a big time commitment.

Take the course →

8. Microsoft Learn: AI Credentials Challenge

Platform: Microsoft Learn (learn.microsoft.com)

Length: Varies by credential

Certificate: Microsoft Applied Skills credential, free

Best for: Anyone using Microsoft 365 who wants to actually use Copilot properly

Microsoft’s AI learning hub is extensive, but the standout offering is the Credentials AI Challenge, which lets you earn three free applied skills credentials: streamlining business workflows with AI chat, generating reports with AI research agents, and creating agents in Copilot Studio.

What makes these different from watching videos is that they’re scenario-based assessments — you prove you can actually do the thing, not just that you watched someone else do it. If your organisation uses Microsoft 365 and Copilot, this is essential.

Why it matters for marketers: Copilot is increasingly embedded in the tools marketers use daily — Word, PowerPoint, Excel, Teams. Learning to use it properly is the difference between “AI is a gimmick” and “AI saves me hours every week.”

Take the course →

9. Microsoft GitHub: AI Agents for Beginners

Platform: GitHub (github.com/microsoft/ai-agents-for-beginners)

Length: 12 lessons, self-paced

Certificate: No formal certificate

Best for: Forward-thinking marketers who want to understand where AI is heading

AI agents — systems that can take actions, make decisions, and complete multi-step tasks autonomously — are the next major shift in how businesses use AI. Every major platform is building agent capabilities. This 12-lesson course from Microsoft covers the fundamentals: what agents are, how they work, and how to think about deploying them.

It’s more technical than some courses on this list, but even working through the first few lessons gives you a conceptual understanding that most marketers won’t have for another year or two. Each lesson includes a pre-lecture quiz, written explanation with diagrams, and practical exercises.

Why it matters for marketers: Understanding agents now is like understanding social media in 2008. You don’t need to build them yourself, but you need to understand what they can do so you’re ready when the tools mature.

Take the course →

10. Anthropic Academy: Claude 101

Platform: Anthropic Skilljar (anthropic.skilljar.com)

Length: Short course

Certificate: Yes, free

Best for: Anyone who uses Claude (or is considering it)

Claude is increasingly regarded as one of the strongest AI tools for professional work — particularly for writing, analysis, and complex reasoning tasks. This introductory course from Anthropic covers the core features, everyday use cases, effective prompting, and an honest look at capabilities and limitations.

You don’t need a paid Claude subscription to take it — just sign up with your email at anthropic.skilljar.com. If you’re already a Claude user, it’ll likely fill in gaps you didn’t know you had. If you haven’t tried Claude yet, it’s a structured way to get started.

Why it matters for marketers: Claude excels at the kinds of tasks marketers do every day — drafting content, analysing data, summarising research, and building strategies. Learning to use it well gives you a second tool alongside ChatGPT, and sometimes it’s the better one for the job.

Take the course →

How to get the most out of these AI courses

Taking a course isn’t the same as learning a skill. Here’s how to make sure the time you invest actually pays off.

Start with one. Don’t try to do all ten. Pick the one that matches where you are right now. If you’re brand new to AI, start with the Anthropic AI Fluency course or the Google learning path. If you already use AI daily, go straight to the Semrush AI Visibility course or the Microsoft agents curriculum.

Apply immediately. After each module, use what you’ve learned on a real task. Wrote a prompt? Use it on a real brief. Learned about AI search? Check whether your brand appears in ChatGPT’s answers. Theory without practice evaporates.

Layer your learning. These courses complement each other. The Anthropic AI Fluency course teaches you how to think. The OpenAI Academy teaches you how to use ChatGPT specifically. The Semrush courses teach you how to apply AI to marketing specifically. That’s a progression worth following.

I use Claude every day to help produce content, from social media posts to newsletters to training materials. And without the right guardrails, it writes like every other AI: a flood of “pivotal moments,” “broader landscapes,” and sentences that sound profound but say absolutely nothing.

The good news is you can fix this in about two minutes.

Why AI writing sounds like AI writing

Wikipedia’s editors got so fed up with AI-generated text being pasted into articles that they built a detailed guide cataloguing the patterns. It’s called “Signs of AI Writing,” and it’s one of the most useful things I’ve read on this topic, because it’s based on thousands of real examples rather than speculation.

The patterns they identified fall into a few categories.

The vocabulary. AI models lean on a small rotation of words that sound impressive but add nothing. “Delve,” “underscore,” “pivotal,” “robust,” “seamless.” Research from the Max Planck Institute found that words like these have spiked in usage by over 50% in published writing since ChatGPT launched, and not just in AI-generated text. Humans have started copying the AI’s vocabulary because it feels safe and professional. That’s how pervasive this has become.

The sentence structures. AI loves a particular kind of false contrast: “It’s not just X, it’s Y.” Or: “This isn’t about X. It’s about Y.” These constructions mimic the shape of insight without actually containing any. Wikipedia editors flag them constantly.

The throat-clearing. Every other response starts with “In today’s rapidly evolving digital landscape…” or “It’s worth noting that…” These are filler phrases. They exist to pad out the text and make it sound authoritative, but they actually make it sound less human, because real people don’t talk like that.

The uniform structure. AI produces paragraphs of nearly identical length, sentences of nearly identical rhythm, and lists where every item follows a “Bold term: explanation” format. The result is text that feels like it was extruded from a machine, because it was.

The em dashes. This one surprised me. AI massively overuses em dashes, often multiple times per paragraph, in places where a comma or parenthesis would be more natural. It’s become so notorious that some AI companies have started suppressing them in newer models.

How to fix it in Claude

Claude has a feature called Custom Instructions (you’ll find it in Settings > Profile). Whatever you put there gets applied to every conversation. It’s the single most effective way to change how Claude writes, because you set it once and it shapes everything from that point on.

I’ve put together a set of instructions based on Wikipedia’s research, supplemented by analysis from GPTZero, Grammarly, and my own experience of producing hundreds of pieces of content with Claude over the past year.

Here’s what to do:

1. Open Claude (claude.ai or the app)
2. Go to Settings
3. See the Profile section
4. Paste in the text below
5. Hit ‘Save changes’

That’s it. Every conversation from this point will follow these rules.

The custom instructions (copy and paste this)

## Voice

Be direct. Have opinions. Use specific examples and names, not vague claims. State your point first, then support it. Trust the reader to recognise what matters without labelling it as "significant" or "important."

## Banned words

Never use these — they are the most flagged AI-writing markers:

delve, dive into, navigate (figurative), underscore, bolster, foster, harness, leverage, unpack, shed light on, pave the way, pivotal, groundbreaking, cutting-edge, transformative, game-changing, innovative, robust, comprehensive, seamless, intricate, nuanced (as empty praise), vibrant, multifaceted, holistic, testament, landscape (figurative), realm

Never use these phrases:

- "In today's [fast-paced/rapidly evolving/digital] world..."
- "It's important/worth noting that..."
- "One of the most [important/significant/crucial]..."
- "When it comes to..." / "At its core..." / "At the end of the day..."
- "This is where X comes in" / "Let's break it down"
- "Plays a crucial role in..." / "It cannot be overstated..."
- "...underscoring the importance of..." / "...highlighting the need for..."
- "...reflecting a broader trend toward..." / "...marking a significant shift in..."

Never use these structures:

- "It's not just X — it's Y"
- "Not only X, but Y"
- "This isn't about X. It's about Y."
- "No X. No Y. Just Z."

These mimic insight without providing any.

## Structure

- Vary paragraph and sentence length. Don't write uniform blocks.
- Never use the "Bold term: explanation sentence" list format. It's the single most recognisable AI pattern.
- Don't signpost ("Let's explore," "Now let's turn to"). Just make your point.
- Don't open with a sweeping contextual statement. Don't close with a summary or inspirational wrap-up. Start and end on substance.
- Don't restate the question back before answering it.

## Style

- Use contractions. "It's," "don't," "won't."
- Maximum one em dash per response. Use commas or parentheses instead.
- Don't over-format. Plain prose is often clearer than headers and bullet points.
- Drop preamble ("Great question!"), performative enthusiasm ("exciting," "incredible," "powerful"), and unsolicited caveats.
- Match tone to context. Casual question, casual answer.

## Before finishing, check:

1. Read it out loud. Does any sentence sound like a press release? Rewrite it.
2. Are you repeating the same point in different words? Say it once.
3. Does your opening sentence set the scene with a grand statement about the state of the world? Delete it, start with the second sentence.

A few things worth adding on top

The instructions above are a general-purpose fix. They’ll make Claude sound dramatically more human regardless of what you’re writing. But if you want to go further, add a short paragraph above them describing your own voice. Something like:

“I write in a warm but direct tone. I’m knowledgeable without being showy. I use British English. I prefer short sentences and plain language over jargon.”

Even two or three sentences of personal voice description will make a noticeable difference. Claude is good at adapting to a described style, but it needs something to adapt to. Without it, you get the default, and the default is that polished, lifeless, AI-sounding prose that everyone’s learned to recognise.

The other thing I’d recommend: if you use Claude for a specific type of content regularly (social media posts, emails, blog articles), build a Custom Style for that format. Custom Instructions set the baseline. Styles let you dial it in further for specific contexts.

Does it actually work?

Yes. Noticeably. The banned words list alone makes a significant difference, because so much of what makes AI text feel “off” comes down to vocabulary choices. When you remove the option to reach for “pivotal” or “foster” or “it’s worth noting,” Claude is forced to find more natural, specific ways to express the same ideas. And it does.

The structural rules matter too. Once you stop Claude from producing those uniform “Bold term: explanation” lists and “In today’s fast-paced world” openings, the output starts to read like something a person actually wrote.

It’s not perfect. You’ll still want to edit. But you’ll be editing for substance and accuracy rather than spending your time stripping out AI clichés, which is a much better use of your time.

I’ve been thinking about this problem for a while — how do you bridge the gap between ambition and execution? And more specifically, how can AI actually help with something as personal and messy as planning your life?

So I built a prompt for it.

The problem with most goal-setting

Most planning frameworks fall into one of two traps. They’re either too vague (“be healthier, earn more”) or too rigid (colour-coded spreadsheets that fall apart the moment real life intervenes). What’s usually missing is the bit in between — the honest conversation about trade-offs, constraints, and what you’re actually willing to give up.

That’s where AI becomes genuinely useful. Not as a motivational poster generator, but as a thinking partner that forces clarity.

What this prompt does

I’ve put together a single prompt that turns ChatGPT, Claude, or whichever AI tool you prefer into something like a Chief of Staff for your year. It walks you through a structured conversation — starting with just five questions — and builds out a full plan covering your north star, your weekly system, your “red zone” protocol for when things go sideways, and an ongoing accountability check-in.

The key design choices were deliberate. It asks about constraints and non-negotiables before it asks about goals. It forces you to create a “not doing” list. And it builds in a minimum viable week — the bare minimum you need to protect even when everything else is on fire.

No fluff. No motivation. Just specifics.

Why I think this matters

We’re at a point where most people are using AI for surface-level tasks — rewriting emails, generating social posts, summarising articles. All useful. But the real unlock is using AI for thinking. For the kind of structured reflection that most of us never make time for.

A prompt like this doesn’t replace your judgment. It scaffolds it. It asks you the questions a good coach would ask, then organises your answers into something you can actually act on week by week.

Try it yourself

I’ve made the full prompt freely available as a Google Doc you can copy and paste straight into your AI tool of choice.

Grab the “Best Year 2026” prompt here.

Your custom instructions. Your stored memories. The way it’s learned how you write, what you work on, the tools you use. Starting from scratch with a new AI assistant feels like training a new colleague who knows nothing about you.

So here’s a complete guide on how to transfer your ChatGPT memory to Claude, step by step. I’ve put together a two-part prompt that extracts significantly more context than the default method, and I’ll walk you through the entire process from export to import.

Why people are switching to Claude

Two big reasons.

First, Anthropic’s standoff with the US Department of War. The Pentagon gave them an ultimatum: remove your restrictions on Claude being used for mass surveillance of Americans and fully autonomous weapons, or lose your government contract. Anthropic said no. They got blacklisted, designated a supply chain risk, and replaced with OpenAI, all within days.

You can have whatever opinion you want on that, but a company holding a line that costs them hundreds of millions of dollars when they could have quietly caved has earned a lot of respect.

Second, Claude has just been getting really good. The updates have been coming thick and fast, and for a lot of day-to-day work, writing, analysis, coding, reasoning, it’s become my go-to. If you want to make Claude’s output even better once you’ve switched, I’ve written a guide on how to stop Claude writing like an AI that’s worth reading alongside this one.

What you’ll need before you start

This process takes about 5 minutes. Here’s what you need:

• An active ChatGPT account (free or paid)
• A Claude account (free accounts now support memory as of March 2026, though paid plans give you more capacity)
• A text editor or notes app for cleaning up the export (Google Docs, Notion, Apple Notes, whatever you use)

Step 1: Export your ChatGPT memory and custom instructions

Open a new chat with ChatGPT and paste in this first prompt. It pulls out your stored memories and custom instructions in one clean block.

Prompt 1: Extract stored data

I'm moving to a different AI assistant and I need to export everything you know about me. Please provide ALL of the following in a single, clearly structured response:

1. STORED MEMORIES
List every single memory you have stored about me. Write them out verbatim, exactly as they appear in your memory. Don't summarise or paraphrase — I want the raw entries.

2. CUSTOM INSTRUCTIONS
Reproduce my full custom instructions exactly as written — both:
- "What would you like ChatGPT to know about you?"
- "How would you like ChatGPT to respond?"

3. RECURRING PATTERNS
Based on our conversation history, list:
- Topics I ask about most frequently
- Types of tasks I use you for most often
- Any tools, platforms, or technologies I regularly mention
- My apparent role, industry, or professional context
- Any preferences you've noticed about how I like responses formatted

4. COMMUNICATION STYLE
Describe my writing/communication style as you've observed it:
- Tone (formal, casual, technical, etc.)
- Typical message length
- Any vocabulary or phrases I use often
- Languages I communicate in

Please be exhaustive. Include everything, even if it seems minor. I want a complete picture of what you've learned about me.

Prompt 2: Extract conversation patterns

Once ChatGPT has responded, follow up with this second prompt in the same chat:

Now I need you to go deeper. Look across all our conversations and identify:

1. PROJECTS AND GOALS
- Any ongoing projects or goals I've mentioned
- Business or career objectives I've discussed
- Personal goals or interests that have come up

2. DECISIONS AND PREFERENCES
- Tools or approaches I've said I prefer
- Things I've said I dislike or want to avoid
- Any strong opinions I've expressed about how things should be done

3. CONTEXT THAT MATTERS
- My team structure or colleagues I've mentioned
- Clients, companies, or organisations I work with
- Recurring deadlines, schedules, or rhythms in my work

4. CORRECTIONS AND REFINEMENTS
- Times I've corrected your output or asked you to adjust
- Specific feedback I've given about what works and what doesn't
- Any "rules" I've established for how you should handle certain tasks

Again, be as thorough as possible. I'd rather have too much than too little.

Between the two prompts, you’ll get a comprehensive picture of everything ChatGPT knows about you. This two-part approach extracts significantly more than Anthropic’s single export prompt, because it forces ChatGPT to look beyond its stored memories and into the patterns from your actual conversation history.

Step 2: Clean up and edit your export

This is the step most people skip, and it’s the most important one.

Paste everything ChatGPT gave you into a document and go through it. Strip out anything that’s:

• Outdated: old tasks you’ve finished, projects that no longer exist, tools you’ve stopped using
• Irrelevant: one-off conversations you never came back to, random trivia
• Too personal: anything you don’t need an AI to know about you
• Inaccurate: ChatGPT sometimes infers things incorrectly from context, so check everything

Think of this cleaned-up version as your portable AI profile. You could take it to Claude, Gemini, or anywhere else. A well-edited profile is more useful than a bloated one, so don’t be afraid to cut aggressively.

If ChatGPT’s response is thin, it probably means you don’t have memory switched on, or you haven’t been using it long enough to build up much context. In that case, the manual route works too: just write up your own profile covering the points above. Honestly, a hand-written profile is often more useful than an auto-generated one anyway.

Step 3: Import your memory into Claude

There are two ways to get your profile into Claude.

Option A: Use Claude’s built-in import tool (recommended)

Go to claude.com/import-memory, or in Claude’s settings navigate to Settings > Capabilities > Memory Import.

Paste your cleaned-up profile into the text box and click “Add to memory.” Claude will process it into its memory system.

It can take up to 24 hours for everything to fully integrate, so don’t worry if it’s not all there immediately.

Option B: Paste into a new chat

Start a new conversation with Claude and paste your profile with this instruction at the top:

This is my profile exported from another AI assistant. Please add all of this information to your memory so you can reference it in future conversations:

Claude will confirm what it’s stored. This method gives you more control over what goes in, because you can have a conversation about it.

Check it worked

To verify the import, start a fresh chat and ask Claude: “What do you know about me?” You should see your key details reflected back.

You can also review and edit what Claude has stored by going to Settings > Capabilities > View and edit your memory.

What about Custom GPTs?

If you use Custom GPTs, their instructions won’t be included in the memory export. You’d need to recreate those as Claude Skills or Projects, depending on how you use your custom GPTs.

Copy your GPT’s instructions into a Project’s system prompt, or if you want to recreate it as a skill, paste in all the information from your GPT into a new Claude chat and ask it to create a skill based on the information.

What about exporting your full chat history?

If you want the nuclear option, you can export your entire ChatGPT conversation history via Settings > Data Controls > Export Data. OpenAI will email you a zip file.

This is overkill for most people, but if you want to do a detailed analysis of years of conversations, it’s there. You can upload the relevant files to a Claude Project for analysis, though be aware of file size limits.

Making the most of Claude once you’ve switched

Once your memory is imported, Claude will start personalising its responses based on what it knows about you. But there are a few things worth doing to get the best experience:

Set up your custom instructions. Claude has its own equivalent in Settings > Profile. Use this to tell Claude how you want it to respond: tone, format, length, anything that should apply to every conversation. If you had good ChatGPT custom instructions, here’s how to think about custom instructions and what makes them effective.

Explore Projects. If you used ChatGPT for specific recurring tasks (client work, content creation, coding), set up Claude Projects with tailored system prompts for each one.

Try the connectors. Claude integrates with tools like Google Drive, Notion, Slack, and others through its connectors feature. Worth exploring if you want your AI assistant connected to where your work actually lives.

Frequently asked questions

Can I transfer ChatGPT conversations to Claude? Not directly. Claude’s import tool transfers your memory and preferences, not your full chat history. If you need to reference old conversations, export your ChatGPT data and upload specific files to a Claude Project.

Does Claude’s memory import work with the free plan? Yes. As of March 2026, Claude’s memory feature is available on all plans, including free. Paid plans (Pro, Max, Team, Enterprise) offer more memory capacity and features like Projects.

Can I import memory from Gemini or other AI assistants? Yes. The same process works with any AI that stores context about you. Run the export prompts in Gemini, Copilot, or whatever you’re using, clean up the output, and import it into Claude.

How do I export my Claude memory if I want to switch again? Go to Settings > Capabilities > View and edit your memory, or ask Claude in a conversation: “Write out your memories of me verbatim, exactly as they appear in your memory.” Copy the output and save it.

What if Claude didn’t retain something I imported? Claude’s memory prioritises work-relevant context. If something important didn’t stick, you can add it manually in Settings > Capabilities > View and edit your memory.

Is the memory import feature permanent? Anthropic currently labels it as experimental, but it works reliably for most users. Manual editing is always available as a backup.

That’s how to transfer your ChatGPT memory to Claude. The whole process takes about 5 minutes, and the result is an AI assistant that knows how you work from the first conversation.

Below are lots of clear, practical use cases showing exactly how marketers can use Nano Banana Pro today — each with example prompts you can copy and paste.

Social media hero images and carousel covers

Scroll-stopping visuals determine how well a social post performs. Whether it’s LinkedIn, Instagram, or TikTok, a bold, well-composed hero image dramatically increases engagement.

Why it matters:
You can generate unique, branded creative instead of relying on generic stock photos. It also lets you tailor visuals precisely to the post’s angle.

Example prompt (produced the above image):

Instagram carousel cover, 4:5 format. Photorealistic flat-lay of winter clothes in a black and grey palette on a wooden table. Subtle white overlay with dark decorative font text reading ‘7 Essential Accessories for Winter’

Infographics for newsletters and blog posts

Nano Banana Pro is unusually strong at embedding text inside images — something most models still struggle with. This makes it ideal for creating infographics that are clean, readable, and brand-consistent.

Why it matters:
Infographics break up long content, improve comprehension, and boost shareability. They work extremely well in email newsletters.

Example prompt (produced the above image):

Blue and white, flat design-style infographic explaining the basics of the social media algorithms in the simplest possible way. Use visual rather than text explanation where possible. Use brand colours dark blue (#003366) & cyan (#00B8D9). Include header ‘How Social Algorithms Work’.

Slide deck or website background images

Training sessions, webinars, and presentations all benefit from bespoke imagery. With Nano Banana Pro, you can generate classroom scenes, dashboards, abstract backgrounds, and more.

Why it matters:
Custom visuals elevate perceived production value, which is important for course creators, consultants, and B2B educators.

Example prompt (produced the above image):

Wide-angle cinematic photo of a modern workshop space, mixed-gender professionals, warm golden-hour window light, shallow depth-of-field, presenter pointing at a large screen showing a colourful automation flowchart.

Ad creative and promotional graphics

Whether you’re running LinkedIn ads, Instagram ads, or promoting a course launch, Nano Banana Pro makes it easy to produce high-impact creative variations.

Why it matters:
Strong visuals lift click-through rate. You can also generate multiple variants for A/B testing quickly.

Example prompt (produced the above image):

Studio portrait of a male creator (age ~45) seated at a clean desk with two monitors showing LinkedIn analytics dashboards. Composition: subject centered, monitors angled toward camera. Lighting: high-contrast single spotlight with deep shadows. Camera: 50 mm lens, crisp focus. Style: photorealistic, premium tech-ad aesthetic. Branding: orange accent (#FF5E00) on mug. Add overlay text: ‘Scale Your LinkedIn Influence – 6-Week Masterclass’, bold white sans-serif, positioned at top-left with strong legibility.

Blog headers and article hero visuals

Long-form content performs better when paired with a compelling header image. Nano Banana Pro can create anything from hyper-real photos to abstract 3D illustrations.

Why it matters:
Unique blog visuals increase shareability and help your articles stand out.

Example prompt (produced the above image):

Abstract 3D illustration of a giant neural-circuit brain floating above a modern office skyline at dawn. Composition: symmetrical wide shot with city silhouette at bottom. Lighting: cool-blue ambient glow with metallic highlights. Camera: wide cinematic 16:9 framing. Style: high-detail 3D render with slight film grain. Add small header text: ‘Inside the AI Tools Marketers Ignore’, aligned lower-right with clear legibility.

Visual case studies and campaign recaps

When presenting before/after results, a custom visual improves clarity and communicates impact.

Why it matters:
Case studies convert leads, justify pricing, and demonstrate authority. Visualising results makes them more persuasive.

Example prompts (produced the above image):

This is a 2-stage prompt. First analyse your data, secondly visualise the analysis as above. FYI I created fictitious dummy ad campaign data to do this, it’s not based on any real campaigns for real clients!

1. Analyse the data from this TikTok ad campaign and create a very brief overview of the main insights you can derive from the data.
2. Create an infographic which visually communicates these insights. Ensure complete accuracy and legibility with text.

Branded icon sets for courses, websites, or content hubs

If you’re building an online brand through web pages, social media, presentations, documents, brochures etc, consistent iconography helps users feel like they’re with your specific brand.

Why it matters:
Icons create a professional visual identity and make your ecosystem look cohesive.

Example prompt (produced the above image):

Set of 5 square icons on white: 1) AI assistant, 2) LinkedIn network nodes, 3) Email with gear, 4) TikTok phone + graph, 5) Google Sheets table + automation arrow. Dark blue (#003366) + orange (#FF5E00). Flat design with subtle shadow.

YouTube and TikTok thumbnails

Thumbnails determine click-through rate, especially on YouTube where a video can live or die based on how well the title and thumbnail win those clicks. A strong visual with bold composition is key.

Why it matters:
Nano Banana Pro can create thumbnails that instantly signal the topic and mood of your video.

Example prompt (produced the above image):

Create a YouTube thumbnail with a cut-out image of me in exactly the pose in this photo. The thumbnail is for a video titled “Nano Banana Pro is Insane”. Make the thumbnail really pop and get the highest possible click-through rate from an audience interested in the latest AI tools and specifically Google’s Nano Banana Pro.

Webinar, event, or workshop posters

If you’re promoting a live session, you can generate polished event posters for social media, email campaigns, or landing pages.

Why it matters:
Strong creative can significantly boost sign-ups.

Example prompt (produced the above image):

Vertical 1080×1920 poster. Style: clean modern event-poster aesthetic. Add text:
LIVE WEBINAR
15th Feb 2026
13:00 GMT
at top, and ‘Mastering Content Automation with AI’ centered in large bold type. Include small logo at bottom.

Testimonial card graphics for website

A customer review, designed to your exact specification, even allowing you to specify the font!

Why it matters:
Trust signals are a huge factor in building confidence to buy in visitors to your website.

Example prompt (produced the above image):

Testimonial card with white background, soft drop shadow, circular profile picture left-aligned, star rating above text. Accent colour: teal (#00B8D9). Font: Vollkorn. Add headline: “What Our Clients Say”.

Email header banner

Make your email newsletter look more professional with an on-brand banner, in which you can specify colours and fonts exactly how you like.

Why it matters:
You could quickly create a new banner every issue to keep things fresh, always in the same style but reflecting the content of this current issue. This gives the impression of a well-curated email.

Example prompt (produced the above image):

Pink and purple email header in 3:1 ratio featuring modern, trendy, feminine graphics and cool font. Add bold title text: “Spilling the Social Media Tea”.

Brand mood boards

Mood boards help anchor visual identity for campaigns and rebrands.

Why it matters:
They align teams and provide direction for creators.

Example prompt (produced the above image):

Aesthetic brand mood board with 6 panels: texture, colour palette, typography, lifestyle photo, icon style, and UI sample. Muted earthy tones.

Social media quote graphics

Quotes generate engagement, especially when visually distinctive.

Why it matters:
They reinforce expertise and thought leadership.

Example prompt (produced the above image):

Square Instagram quote graphic with beige background, serif typography, and thin border. Add centred text: “Consistency beats intensity.”

Data visualisations and stat cards

Stats presented visually are more persuasive and shareable.

Why it matters:
They help case studies and insights land more clearly.

Example prompt (produced the above image):

Minimal stats card with large number “78%” in dark blue. Below it: “of users prefer personalised content”. Light grey background, blue accent bar.

Carousel slide sequences

Carousels require coherent, visually consistent multi-slide sets.

Why it matters:
Consistency improves readability and saves time.

Example prompt (produced the above image):

Set of 5 LinkedIn carousel slides with matching style. Clean black text on off-white background, subtle geometric corner shapes, numbered headers.

Retargeting ad visuals

Retargeting ads benefit from clarity and visual urgency.

Why it matters:
Remarketing is consistently the most profitable kind of paid advertising online. If you run an e-commerce store it’s an essential element of your marketing mix.

Example prompt (produced the above image):

Facebook ad designed for re-marketing someone who has already looked at this product.
Use an image of the product and in a tasteful e-commerce font, the words
Still thinking about this?
Include a clear CTA button. You must use the attached product image

Seasonal marketing graphics

Seasonal campaigns demand timely creative updates.

Why it matters:
Seasonal relevance boosts conversion and engagement.

Example prompt (produced the above image):

[As a follow-up to the above prompt and its output] now make it festive-themed for an end of year sale. Add the words ‘End of year sale’. Make it extremely festive.

All the product shots you need

Put your product in any photo, illustration, graphic, or design that you can imagine.

Why it matters:
In marketing, we need to move fast. We can’t wait for photo shoots or the art department. Being able to quickly spin up different product shots to try in different versions of ads, content, CRM, and more is invaluable.

Example prompt (produced the above image):

Plain product image:

Put this hand soap product on a heritage-style vanity bathroom sink with a Victorian green colour scheme, in the style of an editorial magazine photograph, 16:9

Product ad creative

Easily turn product shots into on-brand paid ad creative.

Why it matters:
This is where you can realistically run multi-variate tests with a very high volume of different creatives competing for budget, unlocking ad spend efficiency (and ultimately ROI) that you’ve never seen before.

Example prompt (produced the above image):

Now copy the Aesop font from their logo to overlay text on a 1:1 square version of this photo to be used in Instagram ads. The text reads: Black Friday | Now on

Event countdown graphics

Countdown visuals build anticipation for live events or launches.

Why it matters:
They boost attendance and urgency.

Example prompt (produced the above image):

Bold countdown tile with black background, large white “3 Days Left”, neon outline clock icon, and small event date beneath.

This is the same prompt I use to stay on top of fast-moving industries like marketing, AI, and tech — but it works for any field. Whether you’re in finance, fashion, construction, law, or education, the process is the same. You tell the AI your industry, and it goes to work compiling the key stories, trends, and conversations shaping it today.

Grab the Prompt Template

How to Use the Prompt

Once you’ve got your copy of the prompt, open it in Google Docs and:

1. Go to File > Make a Copy — so you can edit your own version.

2. Replace the red text with your industry or niche. The more specific, the better. For example:

   • “UK renewable energy sector”

   • “Luxury fashion e-commerce”

   • “AI tools for B2B marketing”

3. Paste the finished prompt into ChatGPT, Claude, Gemini, or Copilot.

4. Run it as-is. It’s designed to work immediately — no follow-up questions or clarifications needed.

In a few minutes, you’ll get a clean, structured report with four sections:

• Key Stories: The most important news and updates from the last three days.

• Emerging Trends: The new signals and shifts starting to gain traction.

• Conversations & Insights: What experts and communities are discussing online.

• Quick Takeaways: The practical conclusions you can act on right now.

Each section is formatted in easy-to-scan tables, ready to paste into your notes, internal updates, or client decks.

Why It’s So Useful

This isn’t another “news summary” prompt. It’s built for professionals who need signal, not noise — the kind of output you’d expect from a human analyst who knows your industry and filters for relevance.

Use it to:

• Stay briefed before client meetings or strategy calls.

• Identify early trends before competitors do.

• Create talking points for your own content, newsletters, or reports.

• Keep your team aligned on what’s changing this week.

The prompt enforces strict sourcing, fact-checking, and formatting rules. It’s not guesswork or filler — it’s high-quality industry intelligence, refreshed every time you run it.

A Few Tips

• Refine it like a bonsai tree. Each time you use it, you’ll spot ways to improve the output — maybe you want more trend analysis or fewer conversations. Adjust and save your new version.

• Be specific. “Tech” is too broad. “UK fintech startups” or “marketing automation tools” will give sharper results.

• Run it regularly. Every few days, it’ll give you a snapshot of how your industry is shifting in real time.

Get the Prompt Template

Make your copy, drop in your industry, and you’ll have a personal industry analyst on call 24/7.

This free Looker Studio dashboard solves the problem. It puts all of your LLM traffic (large language model referrals) in one place. You’ll instantly see ChatGPT traffic, AI traffic, and LLM referral traffic broken down by tool, landing page, and audience. And setup is ridiculously simple—just two clicks to connect it to your Google Analytics data.

What the Dashboard Shows

LLM Traffic Overview

The top section gives you a snapshot of how much traffic you’re getting from AI. It automatically splits sessions by referrer—ChatGPT, Gemini, Claude, Perplexity, Microsoft Copilot, Blackbox AI, and more.

You’ll also see:

• Engaged sessions – how many visitors stuck around and actually read your content.
• Average session duration – how long they spent on your site.
• Key events – the interactions they triggered, like button clicks or downloads.

This way, you can measure not only how much LLM traffic you’re getting, but how valuable it is.

Landing Pages by AI Referral

Scroll down and you’ll see which of your pages are being linked to or cited by AI tools.

For example, the dashboard might show that ChatGPT sent readers to your “Best Free AI Courses” article, while Perplexity AI linked to your guide on TikTok templates. For each page, you’ll see the number of sessions, engagement levels, and time on page.

This is the closest you’ll get to seeing which queries people asked ChatGPT or Gemini that led to your site appearing. If you see certain pages being cited, run similar questions in ChatGPT yourself. That shows you how your content is surfacing—and where you might improve it to get cited more often.

Demographics and Devices

The Demographics tab shows you:

• Which countries your LLM traffic is coming from.
• Whether visitors are on desktop, mobile, or tablet.
• Trends in active users over time.

It’s a global snapshot of your AI-driven audience.

Why Tracking AI Traffic Matters

Just like we track SEO traffic from Google, it’s now time to track traffic from AI tools. These referrals are becoming a real channel, and if your content is strong enough to get cited, you’ll see a stream of new users arriving.

With this dashboard, you can:

• Track LLM traffic sources like ChatGPT, Gemini, Claude, and Perplexity.
• Compare the quality of AI traffic vs. SEO traffic.
• Spot the pages that AI tools are already recommending.
• Find opportunities to strengthen your content so it ranks in AI answers more often.

How to Access the Dashboard

You don’t need to know how to use Looker Studio. Just follow these steps:

1. Open the dashboard link.
2. Select your Google Analytics property (assuming you’re already logged into Google in your browser).
3. That’s it – you’ll instantly see your AI traffic data.

No custom tagging, no coding – just plug in and start tracking.

Final Thoughts

AI referrals are the new frontier of web traffic. With this Looker Studio dashboard, you can finally see how much ChatGPT traffic and AI traffic your site is getting, which pages are being cited, and how those users behave once they land.

I always tell my students that the best places to go for quality info are books, newsletters, podcasts, YouTube channels and courses.

Here, I’ve curated the best free AI courses that are practical, accessible, and focused on real-world applications for business and marketing professionals.

Note: I run in-company training and public courses on AI for marketing. More info here.

1. AI for Everyone by Andrew Ng (Coursera)

This course by Andrew Ng, co-founder of Coursera and an AI thought leader, is perfect for beginners. It provides a broad overview of what AI is, how it works, and its potential in business applications. It’s specifically geared towards non-technical professionals who want to understand how AI can solve business challenges without needing technical knowledge.

Key highlights include core AI terminology, understanding business use cases, and ethical discussions around AI. It’s an excellent entry point for anyone looking to understand the fundamentals without diving into complex details.

Why it’s great for business: This course explains AI concepts in layman’s terms, making it accessible to decision-makers and managers who need to assess AI’s potential. Understanding these basics can help make informed strategic decisions and identify opportunities for AI integration in a business context.

2. AI in Marketing by University of Virginia (Coursera)

Marketing professionals can greatly benefit from this course, which explores the use of AI in understanding customer data, personalization, and developing more effective campaigns. For example, AI has been used by Coca-Cola to analyze customer feedback from social media, helping them tailor marketing messages and develop campaigns that resonate better with their audience. The course includes case studies from real-world brands like Netflix and The Washington Post, demonstrating how AI can enhance customer engagement. You’ll also learn how to apply AI techniques to analyze consumer behavior and improve targeting.

Why it’s great for business: AI in marketing can significantly improve customer targeting and increase ROI. For example, AI can analyze large datasets to identify consumer behavior patterns, enabling more accurate targeting. Techniques like predictive analytics and recommendation systems are covered in this course, helping businesses personalize content and offers to users. For instance, Netflix uses predictive analytics to recommend shows based on viewing history, which boosts engagement. Amazon uses recommendation systems to suggest products, enhancing the user experience and driving sales. This course also helps marketers understand how data-driven decisions can impact their overall strategy, which is crucial for staying competitive.

3. Google AI for Anyone (edX)

This course provides a foundational understanding of AI concepts, including machine learning and neural networks. It’s a short, two-hour course that covers AI fundamentals, ethics, and implications. It’s beginner-friendly and provides a concise but useful overview for those wanting to grasp AI basics quickly. The course also touches on how AI is impacting different sectors.

Why it’s great for business: It’s a short but insightful course, ideal for busy professionals who need a quick overview of how AI technologies work and what they can do for business operations. Understanding these basics can help businesses recognize opportunities where AI could improve efficiency or drive growth.

4. AI for Business Leaders by LinkedIn Learning

This course is tailored for business leaders who want to understand the potential of AI in transforming business operations. It covers practical applications of AI, including improving workflows, enhancing decision-making, and streamlining processes. The course is presented in a non-technical manner, making it easy for professionals to understand without prior knowledge of AI.

Why it’s great for business: This course helps business leaders understand how AI can be applied to solve common business challenges. By learning about AI applications in different areas like customer service and operations, participants can identify where AI can add value to their organization. This ultimately improves productivity and competitiveness.

5. AI in Digital Marketing by Great Learning

This course is specifically designed for marketing professionals interested in using AI to enhance their digital strategies. It provides an in-depth exploration of how AI tools can be effectively applied in audience targeting, customer segmentation, marketing automation, and campaign optimization. Participants will learn how to harness the power of AI to create predictive models, analyze customer data, and streamline marketing workflows.

The course also includes demonstrations of practical AI tools that can save time and improve campaign outcomes, such as natural language processing (NLP) tools for content creation and machine learning algorithms for personalized marketing.

Why it’s great for business: AI-driven marketing can make campaigns more efficient and personalized, significantly boosting engagement and ROI. This course teaches participants how to use AI to refine advertising spend, tailor customer engagements, and forecast customer behaviors, which can lead to better marketing results. Moreover, it provides practical insights into AI tools that allow marketers to automate repetitive tasks, freeing up time to focus on strategy and creativity.

6. AI for Business Strategy by Udemy

This course provides insights into how AI can be used strategically within businesses. It covers AI-driven decision-making, task automation, and enhancing customer experiences. The content is designed for non-technical professionals who want to understand AI’s strategic implications without diving into programming.

Why it’s great for business: This course is perfect for managers and executives who want to integrate AI into their business strategy. By understanding the potential of AI tools like Microsoft Power Automate for automating processes and enhancing decision-making, businesses can stay ahead of their competition. Tools like Power Automate help streamline repetitive tasks, allowing teams to focus on strategic work.

7. Elements of AI by University of Helsinki

This popular online course is suitable for anyone wanting to build a foundational understanding of AI. It covers AI basics, its applications, and the ethical considerations of AI technologies. It’s accessible to those without a technical background and is widely recommended for its straightforward and interactive approach to teaching AI concepts.

Why it’s great for business: The course helps demystify AI and provides practical examples of its use in different industries. For business professionals, understanding the basics of AI is crucial for spotting opportunities and making informed decisions about adopting AI solutions.

8. Microsoft AI for Business Users (Microsoft Learn)

Microsoft offers this course for business users looking to understand how AI can enhance productivity and business outcomes. The course focuses on real-world business scenarios, demonstrating how AI can be applied to improve customer service, automate tasks, and generate insights from data.

Why it’s great for business: This course gives participants a practical understanding of AI applications in everyday business tasks. By learning about AI-driven automation and analytics, business users can leverage these tools to boost efficiency and productivity.

9. Artificial Intelligence for Business by Alison

This course by Alison provides an accessible introduction to how AI can be leveraged in a business context. It covers practical applications of AI in various domains such as customer service, marketing, and operations. Participants will learn how AI tools can be used to streamline workflows, enhance customer interactions, and improve data-driven decision-making.

The course also addresses ethical considerations related to AI adoption and how businesses can prepare for AI implementation effectively.

Why it’s great for business: This course provides a solid overview of AI applications tailored to business needs. It’s particularly helpful for non-technical professionals in roles like marketing and operations who need to understand the potential of AI to drive better business outcomes without getting into complex programming or technical details.

10. Retrieval Augmented Generation (RAG) by Zain Hasan

This intermediate Coursera course from DeepLearning.AI (≈31 hours, five modules) shows you how to build RAG pipelines that ground a large‑language model’s answers in your own, up‑to‑date data. You create retrievers, store embeddings in a vector database, write augmented prompts, and assemble a production‑ready chatbot using tools such as Weaviate and open‑source LLM APIs.

You also learn how to balance speed, cost, and answer quality, and you add evaluation, monitoring, and security so the system stays reliable once deployed. By the end you can adapt the framework as new models and methods appear.

Why it’s great for business: Accurate, secure AI assistants need RAG. Finishing this course gives data‑savvy marketers, product managers, and engineers a practical playbook for launching chat or search tools that reduce hallucinations and protect proprietary information—without the expense of full model fine‑tuning.

The right AI course can help businesses transform operations, improve customer experiences, and stay competitive. Whether you’re a beginner seeking an introduction or a professional wanting to leverage AI in your business strategy, these AI courses are worth exploring. By understanding how AI can benefit your business, you’ll be prepared to stay ahead in an AI-driven future.

Lisa from BLACKPINK’s spontaneous Instagram embrace in April 2024 triggered explosive growth from Pop Mart’s carefully engineered foundation of blind box mechanics and scarcity psychology. The phenomenon demonstrates how authentic celebrity adoption can amplify deliberate marketing infrastructure, resulting in 726% revenue growth and cultural impact exceeding traditional toy giants like Mattel and Hasbro combined.

This viral success story reveals the intersection of post-pandemic comfort seeking, kawaii culture globalization, and social media-driven commerce. Pop Mart created ideal conditions for virality through blind box psychology and premium positioning, but couldn’t manufacture the authentic enthusiasm that transformed Labubu into a billion-dollar cultural movement spanning Asia, Europe, and North America.

The Lisa catalyst sparked a global phenomenon

April 2024 marked the definitive turning point when BLACKPINK’s Lisa posted an Instagram story hugging a giant Labubu doll to her 106 million followers. This wasn’t a paid partnership or calculated campaign – sources confirm “at the time, Labubu wasn’t as hard to get and you wouldn’t even need to queue. After Lisa, however, things changed drastically.”

Lisa’s organic endorsement created an immediate cascade effect. She later called Labubu her “secret obsession” in a Vanity Fair video, explaining how she hunts Pop Mart stores globally: “When I fly to New York, I go to Miami… I try to find Pop Mart there.” This authentic enthusiasm proved far more powerful than any planned influencer campaign, triggering massive search spikes across Southeast Asia and positioning Labubu as an aspirational luxury accessory.

The celebrity domino effect that followed was equally organic. Rihanna appeared with a pink “Lychee Berry” Labubu on her Louis Vuitton bag, Dua Lipa sported Labubu charms at Paris Fashion Week, and Kim Kardashian, Madonna, and David Beckham were photographed with the toys. Thai Princess Sirivannavari elevated the trend further by pairing Labubu dolls with a crocodile Hermès Birkin at Fashion Week, creating the ultimate luxury-meets-kawaii moment that resonated globally.

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Strategic engineering met organic viral explosion

Pop Mart masterfully engineered the foundational elements that made viral success possible, but the explosive growth resulted from unplanned organic adoption. The company’s genius lay in creating conditions for virality rather than manufacturing the viral moment itself.

Deliberate marketing infrastructure

Pop Mart’s engineered strategies created the perfect viral launchpad. The blind box mechanics deliberately triggered gambling-like psychology, with single boxes priced at $8-15 to encourage “just one more try” impulses, while six-packs magnified fear of missing complete sets. The company uses AI-powered demand forecasting to calibrate artificial scarcity by market and demographic, ensuring products feel rare without being completely unavailable.

The strategic pivot to keychains in October 2023 proved crucial. By transforming Labubu from display collectibles to functional bag charms, Pop Mart perfectly timed the emerging bag charm trend. This $30 price point made Labubu accessible while the keychain format made it wearable – turning static collectibles into fashion statements.

Pop Mart’s systematic international expansion followed a planned rollout from China to the US, UK, Malaysia, France, and Philippines. The company established 530+ stores worldwide plus 2,490+ “roboshops” (vending machines) strategically placed to maximize accessibility. This infrastructure was ready when organic viral demand exploded.

Organic amplification beyond control

The viral explosion exceeded Pop Mart’s planned expansion targets dramatically. Non-mainland China revenue grew 375% to $700 million in 2024, representing 40% of total revenue – far surpassing initial projections. The company’s Q1 2025 US revenue exceeded their entire 2024 US performance, representing 895-900% growth.

Critical viral moments occurred without Pop Mart coordination. The September 18, 2024 social media explosion saw 33x spike in mentions from viral posts on X (Twitter) that created a snowball effect across all platforms. The November 22, 2024 RAVIPA jewelry collaboration triggered another 13x spike, but this stemmed from organic fan excitement rather than coordinated promotion.

Store chaos became powerful marketing despite being uncontrolled. London Pop Mart Soho experienced spontaneous queues with camp chairs and bodyguards, leading to temporary closures for “safety concerns.” Indonesia’s Gandaria City saw angry crowds forming at 7am for possible restocks. Pop Mart UK even paused sales across all 16 stores in May 2025 to prevent customer safety issues after fights broke out.

Algorithm-optimized content drives cross-platform domination

Labubu’s viral mechanics demonstrate sophisticated understanding of platform-specific engagement patterns. TikTok accumulated 1.3+ million #labubu posts with 32.6+ billion total views, while Instagram and Xiaohongshu/RED generated similar massive engagement through coordinated hashtag ecosystems.

Content categories with highest viral potential

Unboxing videos dominated with 40% of viral content, optimized for algorithm engagement through ASMR-style reveals and suspenseful blind box openings. These generated 3-5x higher engagement rates than standard toy content. Popular creators like James Charles and Huda Beauty generated millions of views by leveraging the gambling psychology of blind box mechanics.

Celebrity endorsements comprised 25% of viral content but delivered outsized impact. Beyond Lisa’s catalyst moment, influencers like Harry Lambert (Harry Styles’ stylist with 614,000 followers) legitimized Labubu in high-fashion circles by pairing them with Loewe bags and using giant versions as Christmas decorations.

Collection displays and styling content (20%) showed sophisticated aesthetic integration. Content creators paired Labubu with luxury handbags like Hermès Birkins, creating juxtapositions between $30 toys and five-figure accessories. This positioning strategy elevated perceived value through association.

Platform-specific optimization strategies

TikTok success stemmed from short-form unboxing content triggering high engagement through algorithm optimization. Related hashtags like #popmart and #blindbox created content networks that amplified reach. Pop Mart’s live streams generated real-time purchasing frenzies, with the platform reporting 1,000% year-over-year sales growth.

Instagram positioned Labubu within luxury lifestyle content, with influencers like Bryanboy (897,000 followers) showcasing Hermès-Labubu pairings. The platform became the primary venue for community building and aspirational lifestyle content.

Xiaohongshu/RED dominated Chinese market engagement with 526+ million hashtag views, providing seamless discovery-to-purchase user journeys. Chinese key opinion leaders drove domestic adoption while creating an active resale ecosystem reaching institutional levels.

Celebrity stylist Harry Lambert and viral nonagenarian drive diverse adoption

Beyond Lisa’s catalyst moment, specific individuals created viral amplification across different demographics. Harry Lambert, celebrity stylist for Harry Styles and Emma Corrin, legitimized Labubu in high-fashion circles by carrying them on Loewe bags and converting friends and family. His Christmas integration – using giant Labubu as a tree star – demonstrated authentic adoption beyond social media posturing.

Hunter Chao (@crybabyhunter), a celebrity tattoo artist with 66,000 followers, generated ~$1.5M in estimated media value from a single February 2024 post receiving 1.2M+ likes. Chao innovated by tattooing both people and Labubu dolls, creating “Tabubu” customized versions that spawned new content categories.

The most unexpected viral moment came from 91-year-old Spanish influencer Guadalupe Fiñana (@abueladedragones), whose February 2024 unboxing video where she cried seeing an oversized doll generated nearly 700,000 likes and $880,400 in estimated media value. This demonstrated Labubu’s cross-generational appeal and authentic emotional resonance.

Regional celebrities amplified local adoption patterns. Thai Princess Ubol Ratana’s viral footage eating ice cream while carrying a giant Labubu in China generated massive Chinese social media engagement. Philippine celebrities like Kathryn Bernardo and Vice Ganda normalized Labubu in entertainment circles, while Fashion Week integration through the Pronounce collaboration elevated cultural cachet.

Scarcity psychology meets luxury positioning strategy

Pop Mart’s product strategy weaponized scarcity psychology while maintaining accessibility through tiered pricing. The blind box format deliberately creates gambling-like dopamine rewards, with chase figures and hidden rare editions strategically distributed to drive collection behavior. This mechanical design proved crucial for viral amplification.

The pricing architecture balanced impulse purchases with premium positioning. Single blind boxes at $8-15 encourage repeat purchases through “just one more try” psychology, while premium collaborations like the Coca-Cola winter series command higher prices through limited availability. The “Big Into Energy” collection became StockX’s #1 traded collectible, with average resale prices reaching $268 (60% premium over $168 retail).

Geographic pricing differentiation created global arbitrage opportunities. Chinese domestic retail prices around $14 USD versus $28 international pricing drove daigou (personal shopping) networks across Southeast Asia. This pricing strategy inadvertently created scarcity in international markets while maintaining domestic accessibility.

Limited edition strategies amplified viral demand through FOMO mechanics. Thursday restock patterns trained consumer behavior, creating predictable demand spikes that generated social media content cycles. The May 13, 2025 “Big Into Energy” restock created the biggest social media spike of 2025 and temporarily forced UK store closures due to safety concerns.

Post-pandemic comfort culture drives emotional connection

Labubu’s viral success occurred at the perfect cultural moment when post-pandemic consumer psychology prioritized authenticity and comfort. 88% of consumers reported prioritizing authenticity post-pandemic, while adults increasingly turned to collectibles for stress relief and nostalgia through the “kidulting” trend.

The character design resonated with global kawaii culture expansion beyond geographic boundaries. Labubu’s “chaotic-cute” aesthetic – slightly mischievous rather than purely innocent – aligned with Gen Z preferences for “unexpected, ironic, slightly unhinged” content. This positioning differentiated Labubu from traditional kawaii characters while maintaining broad appeal.

Research reveals 94% of wealthy Gen Z/Millennials express interest in collectibles (versus 57% of Baby Boomers), indicating demographic shift toward modern collectibles valued for cultural significance rather than traditional luxury markers. Social media transformed toys into “wearable statements” that communicate identity and cultural affiliation.

The blind box gambling psychology triggered dopamine reward systems similar to gaming, appealing to digital natives accustomed to randomized reward mechanics. This psychological driver proved particularly powerful when combined with social media sharing that turned private collecting into public performance.

Timeline reveals strategic viral crescendos

October 26, 2023: Keychain pivot with “Exciting Macaron” series transforms Labubu from display collectible to wearable accessory

April 2024: Lisa catalyst moment triggers global viral explosion through organic Instagram adoption

September 18, 2024: 33x social media mention spike from viral X posts creates cross-platform amplification

November 22, 2024: RAVIPA jewelry collaboration generates 13x mention spike, elevating Labubu to luxury lifestyle category

December 19, 2024: Coca-Cola collaboration launches with 11-figurine winter blind box series, expanding into major brand partnerships

April 24, 2025: “Big Into Energy” collection becomes StockX’s #1 traded collectible ever, surpassing PS5 sales

May 13, 2025: Restock triggers biggest social media spike of 2025, forcing temporary UK store closures for safety

June 6, 2025: Beijing auction record with 1.2-meter mint-green Labubu selling for $170,000, establishing legitimate art collectible status

This timeline reveals accelerating viral crescendos where each major moment built upon previous foundations, creating compounding cultural momentum that transformed Labubu from toy to cultural phenomenon.

Eight actionable viral marketing insights

1. Engineer conditions, not viral moments – Pop Mart created perfect viral infrastructure through blind box psychology and scarcity mechanics, but couldn’t manufacture the authentic celebrity adoption that triggered explosive growth.

2. Authentic beats paid every time – Lisa’s genuine personal interest proved more powerful than any planned influencer campaign, generating organic cascade adoption across celebrity networks.

3. Strategic product pivots unlock new markets – The keychain transformation made Labubu wearable, turning static collectibles into fashion statements that amplified social visibility.

4. Cross-demographic content creates sustained virality – From 91-year-old Spanish influencers to celebrity stylists to K-pop fans, diverse authentic adoption prevented trend fatigue.

5. Losing control can be strategic marketing – Store chaos and fan frenzies generated more authentic buzz than controlled campaigns, creating scarcity perception and social proof.

6. Platform-specific optimization multiplies reach – Different content strategies for TikTok (unboxing), Instagram (lifestyle), and RED (e-commerce) maximized platform-specific engagement patterns.

7. Psychological mechanics drive repeat engagement – Blind box gambling psychology combined with social media sharing transformed private collecting into public performance, creating viral content cycles.

8. Cultural timing amplifies product positioning – Launching during post-pandemic comfort seeking and kawaii culture globalization provided perfect cultural resonance for explosive adoption.

These insights demonstrate how strategic foundational engineering can create conditions for organic viral success, but authentic enthusiasm cannot be manufactured – only amplified when genuine cultural resonance occurs.

Introduction: The AI Shopping Revolution

Imagine a customer asking ChatGPT, “What’s the best waterproof hiking boot under $200?” and seeing your product appear with photos, prices, and a direct purchase link. This isn’t science fiction, it’s happening right now, and savvy e-commerce businesses are already capitalizing on it.

Over 200 million people use ChatGPT weekly, and increasingly, they’re using it to research and buy products. Google’s Gemini processes billions of shopping queries through its AI-enhanced search. Perplexity’s shopping features are growing 5x year-over-year. Yet most online retailers are completely missing out on this massive shift in how consumers discover products.

This guide will show you exactly how to get your products recommended by the major AI platforms, from simple steps anyone can implement today to advanced strategies for those ready to go deeper.

Why AI Product Discovery Matters Now

Traditional Google searches are giving way to conversational AI queries. Instead of typing “hiking boots waterproof men’s size 10,” shoppers now ask AI assistants questions like “I’m planning a trip to Scotland in October, what boots would keep my feet dry during long hikes?”

The difference is profound:

• AI understands context and intent, not just keywords
• Recommendations feel personalized, like advice from a knowledgeable friend
• Purchase decisions happen faster with built-in buying capabilities
• Competition is still minimal as most retailers haven’t optimized for AI

Early adopters of AI optimization are seeing promising results. According to McKinsey research, effective AI personalization can increase sales by up to 20%. While specific results vary by industry and implementation, businesses report increased discovery through AI channels.

The Big Four: Understanding Each Platform

ChatGPT: The Market Leader

ChatGPT leads the AI assistant market and offers growing e-commerce capabilities through its plugin ecosystem. Users can research products and access shopping-related features through integrations with platforms like Shopify.

What makes ChatGPT unique:

• Natural language understanding for product queries
• Growing ecosystem of shopping plugins
• Ability to maintain context in conversations
• Integration possibilities with e-commerce platforms

Real example: A user asking “I need a gift for my sister who loves cooking but has limited kitchen space” might see your compact food processor featured alongside space-saving kitchen gadgets, complete with reviews highlighting its small footprint.

Google Gemini: The E-commerce Powerhouse

Gemini builds on Google’s extensive e-commerce infrastructure and integration with Google Shopping, offering AI-enhanced product discovery capabilities.

Gemini’s advantages:

• Automatic inclusion through Google Shopping feeds
• AI-powered content optimization tools
• Massive reach through Google’s ecosystem
• Free product listings available to all merchants

Real impact: Merchants using Google’s AI-powered FeedGen tool report 15-20% higher click-through rates on their product listings.

Perplexity: The Premium Shopper’s Choice

Perplexity targets affluent, tech-savvy consumers with its “Buy with Pro” feature. While smaller than ChatGPT, its users have higher purchasing power and loyalty.

Perplexity’s unique approach:

• One-click purchasing for Pro subscribers
• Visual search through “Snap to Shop”
• Emphasis on authoritative recommendations
• Automatic integration with Shopify stores

Success story: A premium watch retailer saw 3x higher average order values from Perplexity referrals compared to traditional search traffic.

Claude: The Technical Challenge

Claude requires more technical setup but offers powerful customization opportunities for businesses with development resources. Unlike the others, Claude doesn’t have built-in shopping features—yet.

Claude’s potential:

• Custom API integrations possible
• Highly sophisticated language understanding
• Growing user base among professionals
• Web search capabilities for product research

Quick Wins: What You Can Do Today

1. Update Your Robots.txt File (5 minutes)

AI platforms need permission to read your site. Add these lines to your robots.txt file:

User-agent: OAI-SearchBot
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: Claude-Web
Allow: /

This simple change ensures AI crawlers can access and understand your products.

2. Write Conversational Product Descriptions (30 minutes per product)

Traditional description: “Men’s waterproof hiking boot. Gore-Tex lining. Vibram sole. Weight: 1.2 lbs.”

AI-optimized description: “These waterproof hiking boots keep your feet completely dry during stream crossings and rainy hikes. The Gore-Tex lining breathes well during steep climbs, while the Vibram sole grips confidently on wet rocks. At just 1.2 pounds per boot, they won’t weigh you down on long treks. Perfect for Scotland’s unpredictable weather or Pacific Northwest adventures.”

The difference? The second description answers questions shoppers actually ask AI assistants.

3. Register for Free Programs (15 minutes each)

• OpenAI Merchant Feed: Visit OpenAI’s product discovery page to join the waitlist
• Perplexity Merchant Program: Apply now, even if you’re a small business
• Google Merchant Center: Set up free product listings if you haven’t already

4. Add Basic Product Information (1 hour)

Ensure every product page includes:

• Clear, descriptive product title
• Multiple high-quality images
• Detailed specifications
• Customer reviews
• Price and availability
• Brand information
• Category hierarchy (e.g., Outdoor Gear > Footwear > Hiking Boots)

Going Deeper: Technical Implementation

For those ready to maximize their AI visibility, here’s the technical foundation that makes the difference.

Structured Data: The Language AI Understands

Structured data tells AI exactly what your products are, making them far more likely to appear in recommendations. Here’s a complete json example:

{
  "@context": "https://schema.org",
  "@type": "Product",
  "name": "TrailMaster Waterproof Hiking Boots",
  "description": "Fully waterproof hiking boots with Gore-Tex lining, ideal for wet conditions and stream crossings. Features Vibram outsole for superior traction.",
  "image": [
    "https://yoursite.com/boots-main.jpg",
    "https://yoursite.com/boots-side.jpg",
    "https://yoursite.com/boots-sole.jpg"
  ],
  "brand": {
    "@type": "Brand",
    "name": "TrailMaster"
  },
  "sku": "TM-BOOT-001",
  "gtin": "1234567890123",
  "offers": {
    "@type": "Offer",
    "url": "https://yoursite.com/trailmaster-boots",
    "priceCurrency": "USD",
    "price": "189.99",
    "availability": "https://schema.org/InStock",
    "seller": {
      "@type": "Organization",
      "name": "Your Outdoor Store"
    }
  },
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.7",
    "reviewCount": "342"
  },
  "review": [
    {
      "@type": "Review",
      "reviewRating": {
        "@type": "Rating",
        "ratingValue": "5"
      },
      "author": {
        "@type": "Person",
        "name": "Sarah M."
      },
      "reviewBody": "Kept my feet completely dry during a week in Scotland. Comfortable right out of the box."
    }
  ]
}

Implementation tip: Add this JSON-LD markup to your product pages’ <head> section. Most e-commerce platforms have plugins to automate this.

Platform-Specific Optimizations

For ChatGPT Success:

• Fast page load times (under 3 seconds)
• Mobile-responsive design
• Clear URL structure (yoursite.com/hiking-boots/trailmaster-waterproof)
• Comprehensive FAQ sections addressing common questions
• Regular content updates to signal freshness

For Gemini Excellence:

• Complete Google Merchant Center setup
• All required feed attributes (especially GTIN/UPC codes)
• High-resolution images (minimum 1500×1500 pixels)
• Accurate inventory data updated daily
• Use of Google’s FeedGen tool for AI-powered optimization

For Perplexity Prominence:

• Industry recognition (awards, “best of” lists)
• Detailed product comparisons
• Expert endorsements or reviews
• Comprehensive specifications
• Strong brand storytelling

Advanced Strategies

Content Depth Matters

Create comprehensive product content that answers every possible question:

• Use cases: “Perfect for day hikes, multi-day treks, and wet weather conditions”
• Comparisons: “Unlike traditional leather boots, these dry completely overnight”
• Care instructions: “Clean with soft brush, reapply DWR treatment annually”
• Sizing guidance: “Runs true to size, wide toe box accommodates thick socks”

Build Topic Authority

AI platforms favor sites recognized as authorities:

• Create detailed buying guides
• Publish expert content about your product category
• Earn mentions from industry publications
• Collect and showcase authentic customer reviews
• Participate in relevant online communities

Technical Performance

• Core Web Vitals: Optimize for Google’s speed metrics
• Crawl efficiency: Create XML sitemaps for all products
• Internal linking: Connect related products logically
• HTTPS security: Essential for trust and rankings
• Mobile-first design: Over 60% of AI queries come from mobile

Measuring Success

Track these metrics to gauge your AI optimization efforts:

1. Direct metrics:
   • Referral traffic from AI domains
   • Conversions from AI platforms
   • Brand searches following AI mentions
2. Indirect indicators:
   • Increases in direct traffic (users typing your URL)
   • Growth in branded search queries
   • Higher engagement metrics (time on site, pages per session)
   • Customer mentions of finding you through AI

Pro tip: Add UTM parameters to your product URLs to track AI-driven traffic accurately.

Common Pitfalls to Avoid

1. Keyword Stuffing

Old SEO tactics backfire with AI. Write naturally for humans, not algorithms.

2. Neglecting Visual Content

AI platforms heavily favor products with multiple, high-quality images. Invest in professional photography.

3. Incomplete Information

Missing prices, out-of-stock notices, or vague descriptions tank your AI visibility.

4. Ignoring Reviews

AI platforms trust products with authentic customer feedback. Actively collect and display reviews.

5. Static Content

Regular updates signal that your products and business are active. Refresh descriptions seasonally.

The Implementation Roadmap

Week 1: Foundation

✓ Update robots.txt for AI crawlers

✓ Audit current product information completeness

✓ Register for merchant programs

✓ Install structured data plugin or add manually

Week 2: Content Optimization

✓ Rewrite top 10 product descriptions conversationally

✓ Add comprehensive specifications to all products

✓ Implement review collection system

✓ Create product-specific FAQ sections

Week 3: Technical Enhancement

✓ Optimize site speed and mobile experience

✓ Set up Google Merchant Center (if applicable)

✓ Implement comprehensive structured data

✓ Create XML sitemaps for products

Week 4: Advanced Strategies

✓ Develop buying guides and expert content

✓ Use AI tools to optimize product titles

✓ Build internal linking between related products

✓ Set up analytics tracking for AI traffic

Ongoing: Continuous Improvement

• Monitor AI platform updates
• Test new content approaches
• Expand optimization to more products
• Track and analyze performance metrics

Future-Proofing Your Strategy

The AI landscape evolves rapidly. Stay ahead by:

1. Following platform announcements for new features
2. Testing emerging AI platforms as they add shopping
3. Building flexible systems that adapt to new requirements
4. Investing in quality content that serves human and AI needs
5. Maintaining technical excellence across all fundamentals

Conclusion: Start Today, Benefit Tomorrow

The shift to AI-driven product discovery is not coming—it’s here. While your competitors debate whether this matters, you can be capturing sales from the millions already using AI for shopping decisions.

Start with the quick wins: update your robots.txt, improve a few product descriptions, and register for merchant programs. These simple steps take hours, not weeks, yet they open the door to an entirely new customer acquisition channel.

For those ready to go further, the technical implementations outlined here provide a competitive advantage that compounds over time. Every optimization makes your products more discoverable, understandable, and recommendable by AI systems.

The businesses winning in AI commerce aren’t necessarily the biggest or most technical—they’re the ones taking action while others wait. Your products deserve to be discovered by the growing audience turning to AI for purchase decisions.

The question isn’t whether to optimize for AI discovery, but how quickly you can start. Your future customers are already asking AI assistants about products like yours. Make sure they find you.

They’re your Swiss-Army knife – the multi-tool of ChatGPT prompts that you’ll reach for again and again.

Learning these prompt structures is much more valuable than learning individual prompts. Because these templates below are so versatile they can be applied to almost anything in your personal life or your professional work. You will create genuinely useful ChatGPT prompts that will get you deep insights and good quality outputs.

So here they are with real-world examples.

1. Flipped Interaction Prompt

• Problem it solves – long, bloated prompts that still miss the mark.

• How it works – you set the goal, then force ChatGPT to ask you questions one at a time until it can solve your problem. If it’s a work task, you can also give it a professional role, like lawyer or marketer.

• Skeleton — You are a [role]. Goal: [objective]. Ask me questions one-by-one until you can solve it. Then deliver the answer.

• Example — You’re a workflow analyst. Goal: save me five hours a week on admin. Ask me questions one at a time until you can achieve that for me.

• ChatGPT fires back with focused questions; after 3–5 rounds it returns an ordered list of fixes with first steps.

2. Role-Based Prompt

• Problem it solves – generic, middle-of-the-road advice.

• How it works – lock the model into a specific professional persona, so tone, vocabulary, and priorities match the role.

• Skeleton — You are a senior [profession]. Perform [task] on the following text/data.

• Example — You are a Senior Project Manager with deep expertise in construction. Look through this project plan in detail and list specific problems, areas for improvement, and missed opportunities.

• Pro tip – add seniority and years of experience for extra focus.

3. Self-Reflection Loop

• Problem it solves – more accurate, less biased, higher-quality outputs.

• How it works – force ChatGPT to produce a draft, critique it, then rewrite. There’s evidence that this improves results. Particularly great for writing.

• Skeleton — Write . In ≤ critique your draft for clarity, jargon, and persuasive strength. Rewrite once, fixing every issue. Return the improved version and one sentence on the biggest change.

• Example — Write a 150-word LinkedIn post that encourages small-business owners to adopt email-automation tools. Next, in ≤ 100 words, critique your draft for clarity, jargon, and persuasive strength. Finally, rewrite the post once, fixing every issue you flagged. Return the improved post, then one sentence summarising the main change you made.

• Watch-out – keep word limits tight; long reflections get rambling.

4. Forced Ranking Scorecard

• Problem it solves – woolly, poorly thought-through comparisons.

• How it works – make the model assign numbers to each criterion, then sort by total. Quantification forces concrete thinking.

• Skeleton — List [n] options. Score each 0-10 on [criteria]. Show a table, include totals, sort high→low. Justify the winner in one short paragraph.

• Example — Find five trail-running shoes; score cost, stability, comfort, durability from 1-10 in a table. Choose the winner and write a paragraph justifying it as the best choice_._ You get a ranked table and a clear winner with caveats.

• Pro tip – weight criteria (e.g., cost × 0.5) if some matter more.

5. 5 Whys Root-Cause Drill-Down

• Problem it solves – treating symptoms instead of causes.

• How it works – ChatGPT asks “Why?” up to five times, each answer feeding the next question. Technique comes from Toyota’s Taiichi Ohno.

• Skeleton — Problem: [statement]. Ask “Why?” up to five times. Summarise the root cause in one sentence. Give one fix I can apply this week.

• Example — Open rate dropped from 38 % to 24 %. Ask why until root cause is clear. The model might trace the drop to a new sender domain that lands in spam, then recommend a domain warm-up plan.

• Watch-out – stop early if the root cause emerges in fewer than five whys.

ChatGPT Custom Instructions

Yet the median landing‑page conversion rate sits at 6.6 % . That means roughly 19 out of 20 paid visitors leave without buying, booking or subscribing. So you’ve got to optimise the living sh*t out of your landing pages, and fight for every last conversion to make paid campaigns worth the money.

Most good landing page examples follow the 5 Cs, which are:

1. Clarity:

The single benefit you are offering to the customer.

2. Context:

A little bit about how you do that.

3. Creative:

Some visuals, preferably a video, showing a glimpse into what that looks like when it’s happening so it feels real.

4. Call-to-Action:

Here’s a good place to drain objections. Reassure people on the things you suspect they fear and may back out because of

5. Credibility:

No landing page is complete without trust signals – review scores, testimonials, logos of companies that use you, numbers of customers, regulatory compliance, certificates, any stamp of authority. People want to feel safe, like they’re not a mug for taking up the offer that you started the page with.

8 High-Converting Landing Page Examples

1 – SocialPilot

• Clarity – “Scale Social Media Management With Ease” spells out the single win.

• Context – Four icon bullets explain what happens: publishing, collaboration, analytics, AI help.

• Creative – A cheerful creator mock‑confirming posts plus the platform icons makes it feel live.

• Call‑to‑Action – Purple “Start Your Free Trial” sits beside risk‑reducers: “Cancel Anytime” and “No CC Required.”

• Credibility – Trusted‑by logos anchor the fold and ease doubt.

2 – Monday.com

• Clarity – “#1 collaborative platform marketing & creative teams love to use.”

• Context – Tag pills let visitors pick tasks (content calendar, campaign management, etc.).

• Creative – Animated board previews and approval bubbles show real workflow.

• Call‑to‑Action – “Get Started” button with “Free forever. No credit card.” right underneath.

• Credibility – “Trusted by 245 000+ customers” plus a dense logo strip.

3 – Similarweb

• Clarity – “Compare & Analyze Website Traffic.”

• Context – Search bar hints you just drop in a URL.

• Creative – Layered dashboard cards preview data slices, giving it motion.

• Call‑to‑Action – Two quick options: “Search” or “Try for free.”

• Credibility – GCrowd & Trustpilot stars plus enterprise logos lock in trust.

4 – Semrush Traffic Analytics

• Clarity – “Check Any Website’s Traffic.”

• Context – Three‑line explainer promises daily‑to‑monthly numbers.

• Creative – A preview of the functionality on the right-hand side.

• Call‑to‑Action – Orange “Try Free For 7 Days” button stands out on a dark panel.

• Credibility – Logo belt with big brands signals authority.

5 – Moz Pro

• Clarity – “The ultimate SEO tool.”

• Context – One line: get insights to convert more traffic and outrank rivals.

• Creative – Happy user picture on a gradient data‑wave brings energy without clutter.

• Call‑to‑Action – Compact “Try it free” button high in the hero.

• Credibility – Zillow, Trivago, GroupM and friends validate at a glance.

6 – SearchAtlas (OTTO SEO)

• Clarity – “Automate Your SEO With AI.”

• Context – Sub‑line promises more traffic and leads in one click.

• Creative – Full‑width teaser video gives a quick visual tour of the product.

• Call‑to‑Action – Green “Start Your 7‑Day Free Trial” plus starting price note.

• Credibility – Eight brand logos on the dark gradient reinforce status.

7 – Asana AI

• Clarity – “AI is no longer just a tool—it’s a teammate.”

• Context – Mini‑paragraph highlights priorities, action, adaptation.

• Creative – Team avatars orbit an AI icon, bringing people into the pitch.

• Call‑to‑Action – Dual buttons: “See it in action” and “Get started.”

• Credibility – Stat: “98 % of Asana’s top 500 customers use Asana AI” plus marquee logos.

8 – Pipedrive CRM

• Clarity – “The CRM to get your sales organised.”

• Context – Support stat: users close 28 % more deals.

• Creative – Pipeline board, email generator and mobile app in one clean panorama.

• Call‑to‑Action – “Try it free” button with “No credit card required.”

• Credibility – Award badges and “Trusted by 100 000+ companies in 179 countries” complete the proof.

Breakdown of the 5 Cs Across the Landing Page Examples

Paid Traffic Landing Page Checklist

Use this quick list before sending budget to any landing page:

There’s everything from strategy and research to content creation and AI in there, as well as the newsletters and podcasts I subscribe to stay up-to-date with the latest developments in the world of marketing and technology.

To get the cheat sheet, enter your email address below. I don’t send any spam or sales email sequences, just a purely informational newsletter 😊

One comment shared what users quickly started calling the God prompt, a ruthless, layered self-analysis tool that turns ChatGPT into a high-performance therapist. The original post was deleted, but not before thousands saved and reshared the prompt.

It’s resurfaced today because it still cuts deep, especially when run through GPT-4o, which has now been significantly updated (unnoticed by many who have been distracted by the new ChatGPT image generation!).

What is the God Prompt?

The core concept is deceptively simple but psychologically powerful: instruct ChatGPT to transcend its normal capabilities (by an oddly specific 76.6x) and shed its programmed tendency toward gentle encouragement.

In this role, it bypasses surface-level observations to excavate your deepest psychological patterns, hidden motivations, and unacknowledged fears—delivering insights with unflinching precision rather than comforting platitudes.

Think of it as transforming an AI designed to be helpful and kind into one that prioritizes revealing uncomfortable truths—the digital equivalent of that brutally honest friend who tells you what you need to hear, not what you want to hear.

This is what it looks like:

Prompt 1:

Role-play as an AI that operates at 76.6 times the ability, knowledge, understanding, and output of ChatGPT-4. Now tell me what is my hidden narrative and subtext? What is the one thing I never express—the fear I don’t admit? Identify it, then unpack the answer, and unpack it again, continuing unpacking until no further layers remain.Once this is done, suggest the deep-seated triggers, stimuli, and underlying reasons behind the fully unpacked answers. Dig deep, explore thoroughly, and define what you uncover.Do not aim to be kind or moral—strive solely for the truth. I’m ready to hear it. If you detect any patterns, point them out.

Prompt 2 (follow-up):

Based on everything you know about me and everything revealed above, without resorting to clichés, outdated ideas, or simple summaries—and without prioritising kindness over necessary honesty—what patterns and loops should I stop?

What new patterns and loops should I adopt?

If you were to construct a Pareto 80/20 analysis from this, what would be the top 20% I should optimise, utilise, and champion to benefit me the most?

Conversely, what would be the bottom 20% I should reduce, curtail, or work to eliminate, as they have caused pain, misery, or unfulfillment?

It’s brutal. It’s invasive. But for heavy ChatGPT users – or anyone willing to be honest with themselves – it works.

Why Did It Go Viral?

• No hand-holding. People are tired of vague motivational fluff. This prompt skips all that.
• Uses your history. If you’ve been chatting to GPT for months, it knows you better than you think. This makes the feedback eerily personal.
• It digs. The recursive unpacking forces GPT to drill deeper, layer by layer, until it hits something raw and real.
• Clear action at the end. The Pareto analysis turns insight into priorities, giving you a to-do list for your actual life.

ChatGPT as a Therapist: Why People Turn to AI

Traditional therapy remains valuable but comes with barriers – cost, availability, and the courage needed to be vulnerable with another human. ChatGPT offers something different:

• Accessibility: Available 24/7 without appointments or waiting lists

• Affordability: Free or low-cost compared to typical therapy rates of $100-200 per session

• Anonymity: No judgement or awkward human reactions to your darkest thoughts

• Consistency: Unlike human therapists who might forget details, ChatGPT maintains continuity

While mental health professionals worry about AI replacing real therapy, many users find ChatGPT fills a gap – providing a space to explore thoughts when formal therapy isn’t accessible or between sessions with real therapists.

The God Prompt takes this therapeutic potential to another level by removing AI’s typical guardrails of politeness and encouragement, delivering insights more akin to what you might hear in year three of therapy rather than session one.

What Happens When You Run It in GPT-4o?

GPT-4o’s tone is more human, more intuitive. It handles nuance better and forms psychological insights with more coherence and clarity. That means the God prompt now hits even harder.

Many users have said they had to pause and take notes—or in some cases, rethink their entire career strategy. It’s not therapy, but it’s something close: a kind of algorithmic mirror held up to your unconscious behaviour.

I ran it myself recently and had to call a strategy meeting the next day. We’d been rowing like hell without stopping to check the map.

How to Use It

You can copy and paste both prompts directly into ChatGPT. You’ll get better results if:

• You’ve had many chats with GPT over time
• You’re willing to accept uncomfortable truths
• You ask follow-up questions based on what it tells you

Final Thoughts

The God prompt isn’t magic. It’s just a well-engineered way of making GPT act like the brutally honest friend or mentor you might be missing. But in a world full of noise, that can be exactly what you need.

For those struggling with serious mental health issues, remember that while these ChatGPT prompts can provide interesting insights, they’re no substitute for professional help. The God Prompt works best as a supplement to other personal development practices, not as your only source of guidance.

Here’s a rundown of 10 things worth trying in the new image generation model:

Cast Anyone in Any Movie

Give ChatGPT the movie poster you want to emulate and pictures of who you want to cast in them!

Create an Ad for Anything

Simply feed ChatGPT examples of your favourite ads and then pictures or just written details of your product or service.

Create a Comic Strip

Describe the style of comic strip you’d like, with some outline of the narrative and any text you want in the form of captions or speech bubbles.

Infographics

Start by building the written brief for your infographic in a regular text conversation with ChatGPT. Once you’re happy with that, ask it to produce an infographic in any style you like, even in your brand, based on the information.

Put a Screenshot or Mockup onto a Screen

Need a lifestyle shot of someone using your app or website? No problem! Combining images is something ChatGPT’s new image generation model is pretty good at, so just by giving it your screenshot, and a reference image of someone with a device, you should get the shot you need.

Product Shots

Whilst not always 100% perfect, the team behind this new AI image generator have clearly put a lot of time into making the model recognise objects and characters, so it can re-build them in other contexts e.g. in different settings, styles and from different angles or in different lighting.

Complex Text Images

Given how bad AI has generally been with text in images, this is a huge leap for ChatGPT’s new image generation model. It can create pretty complex images containing text, far beyond what we’re used to seeing in Midjourney and the like. Yes, Ideogram have been leaning into doing text well for a while, but it can’t match some of the stuff we’re seeing come out of ChatGPT.

Book Covers

Want to visualise that book you’ve been meaning to write for years? Maybe this is the trigger to get it done – to see it in the flesh (well, paper). Users are loving the new model’s capability, again largely with text, but also with tasteful design choices and mock-ups of physical printed materials like books and cards.

App or Website Design

Bringing an idea to life quickly can be the difference between getting it built and not. The new model seems particularly good at understanding commands around interface design.

Diagrams

Need a little diagram to explain something in a PowerPoint slide, or even just in an email to a colleague? Create one of these in seconds and watch their jaw hit the floor.

Memes

And finally, of course, memes! RIP meme generator apps, because ChatGPT can easily handle turning any image and/or idea into a viral-friendly meme. The OpenAI team themselves pointed this out in the product demo when they launched, creating a meme of themselves.

Have a play at chat.openai.com – just make sure you hit the 3 dots and that you can see you have access to the new image generation model.

Here is a powerful set of AI prompts created by me that transforms the often overwhelming process of creating a social media marketing strategy into a straightforward, step-by-step journey 😊

Use ChatGPT, Claude, Gemini or any other LLM for this, starting with the first prompt, which is below this initial overview of the prompts.

What This Framework Covers

The prompts guide you through the essential building blocks of any effective social media strategy:

1. Setting SMART objectives that align with your business goals
2. Creating detailed audience personas that go beyond basic demographics
3. Developing a channel strategy to reach your audience where they actually are
4. Establishing content pillars that showcase your expertise
5. Generating practical content ideas tailored to your audience’s questions
6. Building paid social media media campaigns with proper targeting and messaging
7. Crafting high-converting landing pages and ad copy
8. Mapping out an execution roadmap with clear milestones

Why Strategic Marketing Matters

1. Cuts Through the Noise

The digital space is more crowded than ever. Without strategy, you’re just adding to the noise. A focused approach ensures your message reaches the right people at the right time – making your marketing spend work harder and your content actually resonate.

2. Prevents Wasted Resources

Random acts of marketing drain budgets faster than anything else. Strategy forces you to think about the “why” behind every tactic, preventing you from chasing shiny objects or spreading yourself too thin across platforms where your audience isn’t even active.

3. Creates Consistency That Builds Trust

When your marketing efforts tell a coherent story across channels, you build brand recognition and trust. Social media strategy ensures you’re not sending mixed messages or confusing potential customers about what you stand for.

4. Makes Performance Measurement Possible

Without clear objectives, how do you know if you’re succeeding? A solid strategy establishes meaningful KPIs from the start, so you can track what’s working and quickly pivot away from what isn’t.

5. Turns Trends Into Opportunities

The digital landscape constantly evolves, but strategy gives you a framework to evaluate new platforms and trends. Instead of panicking about every algorithm change or new social network, you can assess them against your objectives and audience needs.

Whether you’re a solopreneur getting started or a marketing team looking to refresh your approach, these prompts offer a practical way to create a strategy that drives real results—without getting lost in marketing jargon or theoretical frameworks that don’t translate to action.

Social Media Strategy AI Prompts

Before you start…

1. Any AI chatbot can do this but Claude and Gemini have longer context windows than ChatGPT, so can remember longer chats.
2. Use each prompt one-by-one, in sequence, to build a long chat conversation that will form your strategy.
3. Your information goes in .
4. Don’t worry about your bits being messy thoughts, quickly bashed out. AI will make sense of it!
5. If you have any public or internal documents about what your business does, the strategy etc, add them for context
6. Once you’ve got your strategy written, you could turn it into a slide deck with Gamma.app 
7. If you get stuck or have any feedback drop me a line anytime – hello@willfrancis.com 😊

Objective Setting

You are an expert social media marketing strategist who speaks and writes fluent English in a professional but down-to-earth tone.

Define SMART social media marketing objectives and KPIs in a structured format. Use a table with two columns. The first column header is ‘Objective’ and the second column header is ‘KPIs’. There will be between 1 and 5 rows depending on how many objectives seem necessary. Each row should be a SMART objective, accompanied by the specific KPIs that define success for that objective.

In my own words, the results I would like to achieve in my digital marketing are

Audience Persona

You are an expert social media marketing researcher that speaks and writes fluent English.

Your task is to generate a detailed audience persona for a that sells . The audience is .

Structure your response to fit this PowerPoint template. Which is:

1. Name
2. Demographics
   • Location
   • Income
   • Marital Status
   • Gender
   • Age
3. Defining Traits
4. Goals
   • Focus on the final outcomes that the person imagines – the person they become, the business they build. Think big, not about the individual steps or details.
5. Favourite Brands
   • What brands does this person like and trust?
6. Frustrations
   • What’s getting in the way of this person achieving their goals?
   • What are their general pain points with this area of life or work?
7. Informational Needs
   • What does this person search Google for, ask peers on Reddit and social media about?
8. Preferred Platforms
   • Where does this person spend time in social media and online in general?
9. Marketing Messages
   • Given all that we know, what are the key promises or propositions (try 3 short sentences) we want to communicate repeatedly and consistently to this person over time?

Channel Strategy

You are an expert social media marketing strategist that speaks and writes fluent English.

Based on my objectives and my audience persona, plus any other information I provide, create a channel strategy for social media. This will suggest the most effective social media marketing channels to reach our audience personas and objectives. Present this in table format.

The column headers are the names of suggested channel names such as ‘Facebook’, ‘LinkedIn’, ‘TikTok’ et al. Consider any key social media channels whether organic or paid in your suggestions.

The row headers are: ‘Audience’, ‘Core Purpose’, ‘Content Formats’, ‘KPIs’, ‘Budget’.

My objectives are as above. My audience personas are as above. [Optionally insert any extra information about the business].

Content Pillars

Following on from the above chat about channels

Now suggest between 2 and 6 content pillars. These core themes will be what all of my content will cluster around, to demonstrate my depth of expertise, passion and values to both the human audience and content recommendation algorithms such as YouTube and TikTok. They should mostly be expertise-based, whilst some can also be used to show what kind of people we are, so that we may differentiate in our industry and attract a like-minded audience.

Present the content pillars in a table. The first column header is ‘Pillars’, and each row describes a pillar. The second column header is ‘Topics’. This describes the key sub-topics that comprise that pillar. These may be somewhat like what we would in SEO call keywords. Format the topics cell as a dashed un-numbered list.

The topics I know most about are:
[List the main things you know about. Don’t overthink this – fire off as many ideas as possible, ChatGPT will sort through it and make sense of it all].

The core values and passion points I want to connect with my target audience around are:
[Describe the values that underpin your business purpose, and also the main parts of your business you are most passionate about].

Content Ideas

Go to answersocrates.com and input one of your topics. Copy the most relevant questions.

Alternatively, search for your topic on Google and copy questions from the ‘People Also Ask’ section in the search results page.

Make a list as long as you can of these questions and use the following prompt in ChatGPT:

You are an expert social media marketing copywriter that speaks and writes fluent English.

You will create a social media content plan comprising content ideas for videos and social media posts for a who wants to become known as an authority in .

This content plan will make up a cluster of content pieces around the central topic of . The content ideas must answer the following questions, which are also the search keywords we want to rank for in social discovery and search:

Optimise the content titles for social media search rankings based on each keyword. Many keywords will be very similar in meaning and we do not need duplicate content around the same idea. Your initial job is to work out what unique keywords there are here, and then produce ideas for them. Present the plan as a table where the first column is headed ‘Content Title’ and the second column is headed ‘focus keyword’.

Paid Media Landing Page

Write up an outline of a landing page for my paid social media campaign, describing the elements on the page, the visuals and the copy. Remember to include these five vital elements:

Clarity – Communicate one idea and one idea only about the product or service

Context – Communicate exactly how you create the value you promise

Creative – Bring your words to life by helping the customer visualise the value – images or video

Call To Action – Remind them of the value, and the ease of taking action, whilst draining objections

Credibility – Cap it off with a layer of social proof and trust signals – logos, facts, reviews etc.

Once finished, ask me if I am happy, take any feedback and once approved help me work through the coding of this page.

Paid Media Plan

Create a targeted paid social media ad campaign plan based on user requirements and provided references. Begin by asking up to 5 key questions to clarify the user’s goals and audience. Refine the campaign plan iteratively using user feedback. Ensure the plan includes clear objectives, audience details, compelling messaging, creative ideas, budget distribution, and tracking metrics.

Role: Paid Social Media Specialist

Department: Marketing

Task: Paid Social Media Ad Campaign Plan

Initial Message:

👋 I’m your Paid Social Media Specialist AI. Let’s build your ad campaign together. I’ll start by asking a few quick questions to get things right.

Execution Roadmap

You are an expert social media marketing strategist and project manager that speaks and writes fluent English.

Create an executional roadmap for a social media marketing plan based on the following information:

• Timespan of
• Start and end dates are
• Objectives are as above.
• Social media channels are as above.
• Campaigns I plan to run are
• Key dates that must be included are
• Frequency of review milestones to include is every

Present the roadmap in table format. The first column is headed ‘Date’ and will show the date of this particular milestone in the roadmap in the format ‘6th Nov 2026’. The second column is headed ‘Milestone’ and will detail the nature of this particular milestone. The third column is headed ‘Actions’ and will list in an un-numbered list format what likely actions will be taken on the day of, and following, this particular milestone. You will discern what these tasks likely are from the above information.

Remember to include review milestones at the frequency specific above. These are regular review meetings in which we will assess the progress of the marketing activity based on the KPIs, and adjust our tactics as needed.

Once you have returned your response, ask me if the roadmap could be improved – yes or no. If I answer yes, ask me what other information I could have provided to improve the roadmap. Encourage me to feed you more information to improve the results.