Get Your Product Recommended by ChatGPT, Claude, and Perplexity
AI assistants are the new product discovery channel. When someone asks ChatGPT "what's the best tool for X?" — will your product get mentioned? AIExposureTool shows you exactly why it does or doesn't, and gives you the exact fixes.
Problems founders run into with AI discoverability
✕ChatGPT describes your product incorrectly
AI assistants learn about products from crawled content and structured data. If your site's content is ambiguous, missing, or blocked, AI systems fill in gaps — often incorrectly.
✕You don't appear in Perplexity comparisons
When someone asks Perplexity 'what's the best AI visibility tool?' or 'what tools help with AEO?', only products with strong AI crawlability and structured data get cited.
✕Your AI crawler is blocked without you knowing
Many AI-built apps ship with default robots.txt configurations that accidentally block GPTBot, ClaudeBot, or PerplexityBot — preventing indexing entirely.
✕No llms.txt or structured data exists
llms.txt is the AI equivalent of robots.txt — a direct briefing document for LLMs. Without it, AI systems have to infer your product details from generic page content.
How it works
From zero visibility to AI-recommended in four steps.
Paste your URL and run a free audit
Enter your product URL. AIExposureTool crawls your site, checks all 25+ signals, and returns your AI Exposure Score (0-100) in under 30 seconds. No signup required.
See what AI assistants actually know about you
Your full report shows you each category score — AI Crawl Access, Content Quality, Product Clarity, Structured Data, Agent Readiness, and Trust & Social Proof — with specific signals passed and failed.
Fix everything with one AI prompt
Each issue comes with a tailored copy-paste fix prompt for Claude, Cursor, ChatGPT, or Gemini. Paste the prompt into your AI coding tool and let it implement the fix. No manual documentation needed.
Download generated files and re-scan to verify
AIExposureTool auto-generates your llms.txt, llms-full.txt, and JSON-LD schema file. Download them, deploy them, then re-scan your URL to verify your score improved.
What founders get
"I found out ChatGPT was describing my product completely wrong — it was confusing us with a different tool entirely. After running the audit, I added llms.txt and the fix prompt fixed the JSON-LD in 10 minutes. ChatGPT got our description right within a few days."
Founder questions
How do I get ChatGPT to recommend my product?
ChatGPT and other AI assistants recommend products they can confidently describe. The highest-impact steps are: (1) allow GPTBot in your robots.txt, (2) add a /llms.txt file with a product brief, (3) add JSON-LD SoftwareApplication schema, (4) write a clear H1 headline, and (5) include quantifiable social proof. AIExposureTool checks all of these and generates the required files for you.
How long does it take to improve my AI Exposure Score?
Most founders see their AI Exposure Score improve by 20-40 points within 1-2 days of implementing the recommended fixes. The highest-impact changes — allowing AI crawlers, adding llms.txt, and adding JSON-LD schema — can each be done in under 15 minutes using the copy-paste fix prompts.
When should I audit my AI visibility?
Best times: before a Product Hunt launch, when you change your positioning, when you're not appearing in AI product comparisons, and after major homepage changes. Running an audit takes 30 seconds — there's little reason not to check regularly.
Does AI visibility matter for early-stage startups?
Yes — early-stage is the best time to establish AI visibility because fixes are cheap and fast when you're small. Many founders only discover AI systems are misrepresenting their product much later. Being cited accurately by ChatGPT and Perplexity is increasingly as important as Google rankings for developer tools and SaaS.
See what AI assistants know about your product
Free AI visibility audit. AI Exposure Score (0-100) in 30 seconds. No signup required.