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AI Visibility Checker
See how ready your page is to be understood and cited by AI answer engines like ChatGPT, Perplexity, and Google AI Overviews, not just how it ranks in classic search.
Why does AI visibility matter now?
More buyers start their research in ChatGPT, Perplexity, or a Google AI Overview before ever clicking a blue link. If an AI can’t confidently extract who you are, what you offer, and clear facts about it, it will cite a competitor instead, even if you outrank them in classic search.
How does this AI visibility score work?
We fetch your page, extract what a crawler would actually see (title, meta description, visible body text, any JSON-LD structured data, and whether the content uses FAQ or step-by-step structure), then hand that evidence to an AI model with a specific brief: judge how easily another AI could understand, quote, and correctly attribute this page. The three scores it returns, structured data, answer-ready content, and clarity, mirror the three things AI answer engines actually rely on when deciding what to cite.
How Google AI Overviews work, from GoogleCommon questions
Is this the same as a normal SEO or PageSpeed check?
No. Our Website Check tool measures classic Google-ranking factors like performance and Core Web Vitals. This tool measures something different: whether an AI system reading your page can confidently extract facts, quote you accurately, and cite your business by name. A page can rank well in Google and still score poorly here, or the reverse.
What is llms.txt and do I need one?
llms.txt is an emerging, still-optional convention: a plain-text file at your site root that gives AI crawlers a concise map of your most important pages, similar in spirit to robots.txt or sitemap.xml. It is not yet required by any major AI provider, but having clear, well-structured page content matters more right now than the file itself.
What is the single highest-impact fix most sites need?
Adding genuine FAQ-style content, real questions a customer would ask, answered directly and completely in the text itself. AI systems lean heavily on this structure because it is already phrased as a question-and-answer pair, which makes it easy to lift and cite accurately.