Free tool · no signup
Are your docs AI-ready?
Most checkers score one page. We crawl several and find what actually breaks AI answers: where your docs contradict themselves, repeat themselves, or link to sections that don't exist, plus whether an assistant can answer real questions from them. Free, no signup.
We fetch your pages server-side, analyze them in memory, and store none of their content.
More free tools from Topicary: all free tools · llms.txt generator
How it works
We read your docs the way an AI assistant would
We crawl a few pages
From your URL we follow the sitemap and same-section links to audit several related pages, not just the one you paste.
We cross-check them
The thing no single-page tool does: we find contradictions, duplicated passages, and broken cross-links across pages, exactly what feeds assistants conflicting answers.
We score each page's structure
Per page: heading structure, machine-readable output, answer density, structured data, and findability, all checked against the raw HTML an AI crawler actually sees.
Contradictions are an authoring problem
Conflicting numbers and copy-pasted passages are what single-sourcing prevents. In Topicary you write a fact once as a reusable component; it stays identical everywhere it appears, so your docs, and the AI answers built on them, cannot drift out of sync.
Questions
About this tool
Do you store my content?
No. We fetch your pages server-side, analyze them in memory, and discard them. Nothing is saved. The optional emailed report keeps only your email address so we can send it.
How is this different from other “AI-readiness” checkers?
Most score a single page on generic checks (headings, schema, meta tags). The hard part, and the thing that actually breaks AI answers, is consistency across pages: when two pages give different numbers, or say the same thing in copy-pasted blocks that fall out of sync. We crawl several pages and check for exactly that. No single-page tool can.
Why does cross-page consistency matter for AI?
When an assistant answers a question about your product, it pulls from whatever pages match. If those pages disagree, it picks one (often the wrong one) or hedges. Consistent, single-sourced docs give one correct answer no matter which page the model reads.
What's in the deeper emailed report?
An answer-outcome audit: we infer the questions real users ask, try to answer each using only your docs, and show where an assistant would have to hedge or guess — including where inconsistent terminology or wording for the same concept sends it to the wrong place. The on-page audit is always free and never email-gated.
How do you decide what counts?
We judge the raw HTML an AI crawler actually receives — most don't run JavaScript, so if your content is drawn in client-side we say so rather than scoring a page we can't see. Cross-page consistency is the part no single-page checker does, so it carries real weight. We deliberately don't penalize debatable style (a date, an author, a hyphenation choice are nudges, never deductions), don't chase formats that no longer earn anything (Google retired FAQ and HowTo rich results), and we never put a citation multiplier in front of you that isn't backed by a primary, replicated source. Precision over recall: a false alarm costs you more than a missed nitpick.