Discoverability Checker
Find out how easily AI crawlers can discover your site: sitemap health, internal linking depth, canonical tag consistency, index coverage gaps, and llms.txt presence.
Check any domain — results in seconds
About this tool
What is site discoverability for AI?
Discoverability refers to how easily AI crawlers can find and index all the content on your site. Even great content won't get cited if crawlers can't find it. A clean robots.txt, a comprehensive sitemap, and proper internal linking are the three pillars of discoverability.
Why is a sitemap important for AI visibility?
An XML sitemap is a machine-readable index of all your pages. AI crawlers use it to discover content they might not find through normal link-following. Without a sitemap, deep or recently published pages are often missed entirely.
What does the canonical tag do for AI crawlers?
The canonical tag tells crawlers which version of a URL is the 'master' copy. Without it, AI platforms may discover and index duplicate versions of your content separately, diluting your authority signal across multiple URLs.
What is llms.txt and how does it improve discoverability?
llms.txt is an emerging file standard (like robots.txt for LLMs) where you tell AI systems what your site is about, what content to prioritize, what to skip, and how to attribute your content. Platforms that read it can index your site more accurately and cite you more precisely.
How does internal linking help AI find my content?
AI crawlers follow links to discover new pages, just like Google. A page with no inbound internal links may never be crawled unless it's in your sitemap. Strong internal linking also signals topical depth — it tells crawlers that a topic is covered extensively across multiple pages.