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How to publish an llms-full.txt companion file

llms-full.txt is an optional companion to llms.txt that holds the full Markdown text of your key pages, for assistants that want everything in one fetch. Concatenate the pages, publish the file at the site root, and keep it under about 1 MB.

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How do you fix it?

  1. Pick the 10 to 50 pages that best describe your product, docs or guides.
  2. Convert each page to clean Markdown with its title as an H1 and its URL on the line below.
  3. Concatenate them into one file and publish it at https://yourdomain/llms-full.txt as text/plain or text/markdown.
  4. Keep the file under about 1 MB, and link it from llms.txt in a section such as Optional.
  5. Regenerate the file automatically whenever the source pages change, then re-run the audit.

What is llms-full.txt?

llms-full.txt is a single Markdown file that contains the complete text of the pages a site wants AI tools to read, joined one after another. Where llms.txt is a short index with links, this file is the whole library in one request. Coding assistants and agents use it to load documentation into their context without crawling dozens of pages. It is a community convention proposed alongside llms.txt, not a formal web standard.

How do I build and maintain it?

Generate it with a script during your site build, so it never drifts from the live pages. Strip navigation, ads and scripts, keep headings, lists and tables, and add the source URL under each title. Watch the size: 1 MB is roughly 250,000 words in plain text, far more than most assistants will read, so favor your 20 best pages over the entire site. Serve it with a 200 status and a short cache lifetime, and mention it in llms.txt.

How much does this check matter?

What else do people ask?

Is llms-full.txt required?
No. It is optional and extends llms.txt. Publish llms.txt first, then add the full version if your content is mostly documentation or guides.
Will it count as duplicate content?
Search engines index your HTML pages, not this file for ranking. It is a convenience copy for AI agents, so duplication is not a concern.

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