llms.txt is a short Markdown map of your site for AI readers — a title, a
one-paragraph summary, and sections of links with a note on each. Enter
your domain: if you have one, we check it against the format and try its
links; if you don't, we draft one from your sitemap and page titles that
you can copy straight to /llms.txt.
Reads /llms.txt, /llms-full.txt, /sitemap.xml and up to 24 of your pages. Cached for 10 minutes. Nothing stored. Does llms.txt actually help? →
Reading your site…
Upload it as /llms.txt at the root of your site, served as plain text. Then run the check again.
Per llmstxt.org: an # H1 title first, an optional > blockquote summary, optional free text, then ## Sections whose items are - [Page title](url): one-line note. A ## Optional section marks pages an AI reader can skip. llms-full.txt is the long-form companion with the actual content inlined.
Plain text (not an HTML page), H1 first, summary present, H2 sections present, every list link well-formed, notes on links, links on your own domain, file size, and whether a sample of up to eight links answers 200. A failed check is a suggestion, not a verdict — the format is deliberately loose.
From your sitemap.xml (one level of sitemap index followed), homepage first, shallow paths first, up to 24 pages. Each page contributes its <title> (site name stripped) and meta description as the note; pages are grouped by their first path segment. It is a starting point — trim it to the pages you actually want an AI to read and rewrite the notes in your own words.
No engine has confirmed it as a ranking or citation signal, and crawler-log studies show the file is rarely fetched so far. It is cheap, harmless and occasionally read by agents — worth ten minutes, not a strategy. What moves recommendations is whether the engines can read you and what they find; the free Reflexa check shows that side.
The free check runs your real buyer questions across ChatGPT, Claude and Perplexity — mentioned, recommended and cited, per engine, with the answers as evidence.