Free website tools
llms.txt Finder
Check whether a website publishes an llms.txt file, then explore its site summary, sections, and links.
No signup required • 100% free • Checks 3 common paths
An emerging convention for AI-readable site maps.
llms.txt is a proposed Markdown convention for publishing a concise site summary and curated links for AI tools. Unlike robots.txt, it does not grant or deny crawler access.
The proposal uses /llms.txt at the site root. This tool also checks two commonly published variants.
Paths we check
/llms.txt/llms-full.txt/.well-known/llms.txt
How to use the llms.txt Finder
The llms.txt finder checks whether a website publishes a readable file at /llms.txt, /llms-full.txt, or /.well-known/llms.txt. It extracts recognizable Markdown headings, a site summary, and linked resources so you can inspect what the file contains.
llms.txt Finder FAQs
How do I find a website’s llms.txt file?
Enter the domain above, or open https://example.com/llms.txt in a browser. This finder also checks /llms-full.txt and /.well-known/llms.txt. A file stored at a different custom path may not appear in these results.
What is the difference between llms.txt, robots.txt, and sitemap.xml?
llms.txt is a proposed guide for agents using a website. robots.txt expresses crawler access rules. An XML sitemap lists URLs for discovery. These files serve different purposes, and an llms.txt file does not override robots.txt.
What does a found llms.txt result tell me?
It means a checked location returned content recognized by this tool. You can inspect its headings and links and open the source file. It does not prove that any particular AI service reads or follows the file.
Does llms.txt guarantee AI citations or search visibility?
No. Publishing a file does not guarantee inclusion in AI answers. Keep the underlying pages useful, accessible, and discoverable; support for the llms.txt proposal varies by product.
Why was no llms.txt file found?
The website may not publish one at the checked paths, or a request may have failed or returned different content. Inspect the per-path result and retry if the server was temporarily unavailable.
References: The llms.txt proposal · Google’s guidance for AI search features