AI Search Checker is a free auditing tool that shows whether AI search engines can actually find, crawl and cite a website. Enter any URL to get a 0-100 readiness score built from five pillars: per-bot crawler access (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot), llms.txt, structured data, content citability and technical fundamentals. Every scan returns a per-bot access table plus a prioritized fix list - no signup, results in about fifteen seconds. A free llms.txt generator and vertical guides for accountants, lawyers, dentists, SaaS and ecommerce are included.

We kept seeing the same question in SEO communities: why does a competitor show up in ChatGPT and Perplexity answers while your site never does? The technical side - which AI crawlers can reach you, whether llms.txt exists, how citable your content is - was scattered across five different tools, so we built one checker that scores it all in about fifteen seconds. The five-pillar scoring and the per-bot access table came from auditing our own sites. It is free because we wanted the fastest possible feedback loop between fixing something and seeing the score move.
Really useful framing — most AI visibility checkers hand you a vague score, but a per-bot access table (GPTBot vs ClaudeBot vs PerplexityBot) is exactly what you need to debug why one engine cites you and another doesn't. Genuine question: does the scan also catch the case where llms.txt exists but gets ignored, e.g. contradictory robots.txt rules for a specific bot? That's the failure mode I run into most often. The vertical guides for accountants, lawyers and dentists are a smart touch too — citation patterns differ a lot by niche.
Really useful angle: most SEO tools still ignore AI crawlers, and the per-bot access table (GPTBot, ClaudeBot, PerplexityBot…) is exactly what I didn't know how to check. I'm building a small SaaS for content creators and just added guide pages + structured data, so this is timely. Question: does the score take into account sites in other languages (mine is in French), or is the "content citability" part mostly tuned for English content?

Useful for anyone doing GEO work. Two things that would make it more actionable for niche sites: a per-engine breakdown (Perplexity vs Google AI Overviews vs ChatGPT browsing) rather than a single score, and a way to track music or audio keywords specifically, since those queries behave very differently from SaaS ones. Does the checker re-crawl on a schedule or is it one-shot?

We kept seeing the same question in SEO communities: why does a competitor show up in ChatGPT and Perplexity answers while your site never does? The technical side - which AI crawlers can reach you, whether llms.txt exists, how citable your content is - was scattered across five different tools, so we built one checker that scores it all in about fifteen seconds. The five-pillar scoring and the per-bot access table came from auditing our own sites. It is free because we wanted the fastest possible feedback loop between fixing something and seeing the score move.
Really useful framing — most AI visibility checkers hand you a vague score, but a per-bot access table (GPTBot vs ClaudeBot vs PerplexityBot) is exactly what you need to debug why one engine cites you and another doesn't. Genuine question: does the scan also catch the case where llms.txt exists but gets ignored, e.g. contradictory robots.txt rules for a specific bot? That's the failure mode I run into most often. The vertical guides for accountants, lawyers and dentists are a smart touch too — citation patterns differ a lot by niche.
Really useful angle: most SEO tools still ignore AI crawlers, and the per-bot access table (GPTBot, ClaudeBot, PerplexityBot…) is exactly what I didn't know how to check. I'm building a small SaaS for content creators and just added guide pages + structured data, so this is timely. Question: does the score take into account sites in other languages (mine is in French), or is the "content citability" part mostly tuned for English content?

Useful for anyone doing GEO work. Two things that would make it more actionable for niche sites: a per-engine breakdown (Perplexity vs Google AI Overviews vs ChatGPT browsing) rather than a single score, and a way to track music or audio keywords specifically, since those queries behave very differently from SaaS ones. Does the checker re-crawl on a schedule or is it one-shot?
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