People ask ChatGPT and Claude before they buy now, and AI recommends brands in a completely different way than Google ever did. Here's my full AI visibility playbook to actually show up.
Everyone used to Google a brand before they bought it. Now they're asking ChatGPT, Claude, and Perplexity, and AI decides which brands to recommend in a completely different way than Google ever did.
This new game has a name (Generative Engine Optimization), but you don't need the jargon. You need to do four things: audit where you stand, restructure your pages so AI can pull from them, build third-party consensus, and add the technical files almost nobody adds. This is the full playbook.
You can't fix what you can't see. Start by taking the questions your customers actually ask before buying, and running them through Claude, ChatGPT, and Perplexity to see if you show up.
Write down 10–50 real buying-intent questions for your category. For a clothing brand that's things like 'what are the best travel shorts for men' or 'Vuori alternatives', whatever someone types when they're about to spend money in your space. If your brand isn't in the answers, that's your real problem, and now you know exactly which questions to go win.
Use this to generate your question list and run the audit:
Copy this prompt
I want to run an AI visibility audit for my brand. My brand: [what you sell + your category] My main competitors: [list 2-4] Step 1: Generate 25 real 'buying-intent' questions a customer would type into ChatGPT, Claude, or Perplexity right before purchasing in my category. Include 'best [product] for [use case]', '[competitor] alternatives', and '[my brand] vs [competitor]' style questions. Step 2: For each question, answer it the way an AI assistant would TODAY, and tell me whether my brand would plausibly show up, and why or why not. Step 3: Rank the questions by how valuable it would be for me to show up in them, so I know which to win first.
Do this first
Run the same questions in all three (Claude, ChatGPT, Perplexity), they cite different sources. Where you're missing in all three is your highest-priority gap.
Here's the thing almost everyone gets wrong: AI doesn't pull whole pages, it pulls individual passages. So your pages have to be built for extraction.
· Make your headers the exact questions people ask ('What are the best travel shorts for men?').
· Put the answer in the very first sentence under each header (40–80 words), not buried below.
· Turn any pricing or comparison into a table. AI copies tables almost word for word; your paragraphs get paraphrased or skipped.
· Build comparison pages, like 'Your Brand vs. Your Biggest Competitor.' AI search loves these and not enough people make them.
· Add FAQ blocks to your key pages, each question a header, each answer short and direct.
Use this to rewrite a key page answer-first, with a comparison table:
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Rewrite my page so AI assistants can easily extract and quote it. My page topic: [e.g., 'best travel shorts for men' / a product or category page] Key facts about my product: [paste the real details, features, price, use cases] Main competitor to compare against: [competitor + what you know about them] Do this: 1. Give me an H1 that is the EXACT question a customer would ask. 2. Write a direct 40-80 word answer as the very first paragraph. 3. Build a comparison table (my product vs the competitor) across the criteria a buyer actually cares about. 4. Add a short FAQ block (5 questions as headers + 1-3 sentence answers). 5. Keep every answer factual and self-contained, so it makes sense even quoted on its own.
This one is the most important and the most overlooked: AI doesn't trust what you say about yourself, it trusts what other people say about you.
There's real research showing AI looks for a consensus across multiple independent sources before it'll confidently recommend a brand, the same claim showing up repeatedly across the web. And the single most-cited source across AI answers is Reddit (it shows up in roughly 1 in 5 AI answers).
So you need to exist off your own site: in Reddit threads in your space, on review sites, in roundups, on podcasts, in YouTube videos. One genuinely good third-party mention does more for your AI visibility than ten of your own blog posts.
Use this to build your off-site consensus plan:
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Help me build third-party consensus so AI assistants recommend my brand. My brand + category: [describe] My main buying-intent questions: [paste a few from your audit] Give me: 1. The specific TYPES of third-party sources AI is most likely to cite for my category (subreddits, review sites, roundup articles, YouTube channels, podcasts). 2. For each, the actual search I'd run to find the exact threads/posts/roundups where I should be present or mentioned. 3. A genuine, non-spammy way to earn a mention in each (what I'd contribute or offer, not just 'post about myself'). 4. A simple weekly routine to keep building this over time.
The mindset shift
Stop thinking 'how do I rank my page' and start thinking 'how do I become the brand that keeps coming up across the whole internet.' Consensus beats any single page.
Most brands stop at content. The ones that win add the technical signals that tell AI what you are, and let it read you in the first place:
· Schema markup (JSON-LD): structured data on your pages (Product, FAQ, Review) that spells out your facts in a format AI and search engines parse cleanly.
· llms.txt: a simple file at your domain root that tells AI models what your brand is and which pages actually matter, like a site map written for AI. Almost nobody has one yet.
· Allow the AI crawlers: make sure your robots.txt isn't blocking the bots that feed AI answers, GPTBot (OpenAI), ClaudeBot (Anthropic), and PerplexityBot. If they can't crawl you, you can't be cited.
Use this to generate your technical starter kit:
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Help me set up the technical layer for AI visibility on my site. My brand + key pages: [list your most important pages and what each is about] My platform: [Shopify, WordPress, custom, etc.] Give me: 1. A draft llms.txt file for my site, a short brand description plus a prioritized list of my key pages with one-line descriptions of each. 2. The schema markup (JSON-LD) I should add to my product and FAQ pages, with a filled-in example using my real info. 3. The exact robots.txt lines to confirm GPTBot, ClaudeBot, and PerplexityBot are allowed to crawl me. 4. Plain-English instructions for where each of these goes on [my platform].
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