What is llms.txt, and does anyone read it?

llms.txt is a plain text file at the root of a site that outlines it for language models: a name, a short summary, and links to the pages that matter. 21% of the 316,710 sites mttr has read serve one, and Google has said that no AI system uses it.

An illustration. The business and its files are made up.

By mttrPublished Updated 4 minute read

This guide as Markdown

  • 21%Of sites serve an llms.txtOver the 316,710 sites read, as of October 26, 2026
  • 67%Of sites publish a sitemap with addresses in itOver the 316,710 sites read
  • 84%Of sites serve a robots.txt with status 200Over the 316,710 sites read
  • 1 of 5What llms.txt weighs in mttr's rulebook, the least of any ruleFrom the rulebook

Who proposed llms.txt?

Jeremy Howard of Answer.AI proposed it on September 3, 2024, at llmstxt.org. The idea is that a model answering a question at the moment it is asked cannot read a whole site, so the site hands it a short map in Markdown: a heading with its name, a one paragraph summary, and lists of links with a line on each.

The proposal also suggests a Markdown copy of each page at the same address with .md added, so a model can read the text without the page around it. mttr does both: its own llms.txt, and every docs page and guide as Markdown.

Does anyone read llms.txt?

Not that any major assistant has said. In June 2025 Google's John Mueller wrote that no AI system currently uses llms.txt, and no operator of the crawlers in the AI crawlers guide has said its crawler looks for one. Coding agents and documentation tools read it when they are pointed at it, which is where it earns its keep.

It is still common next to the files crawlers do read. 21% of the sites mttr has read serve an llms.txt, against 67% with a sitemap and 84% with a robots.txt.

Share of sites serving each file
  1. robots.txtserved with status 20084%
  2. sitemap.xmla sitemap with addresses in it67%
  3. llms.txtplain text, not a page21%

Counted from the 316,710 sites mttr has read, each at its latest read, as of October 26, 2026.

FileWhat countsSites serving itShare
/robots.txtserved with status 200267,60484%
/sitemap.xmla sitemap with addresses in it212,57767%
/llms.txtplain text, not a page65,33521%

Counted from the 316,710 sites mttr has read, each at its latest read, as of October 26, 2026. An llms.txt counts when it answers with status 200 in plain text that is not an HTML page.

mttr's rulebook weighs it at 1 of 5, the least of any rule, and calls it cheap insurance: it costs an afternoon, harms nothing, and may matter more later. Spend the effort on the pages first.

How do you write a good llms.txt?

Write it from what the site already says, in the order an assistant needs it: who the business is, the facts it must get right, then every page that should be found, each with its own title and description.

llms.txt, an example for a made up business
  • List every page that should be found, once. The sitemap is the source of truth.
  • Use each page's own title and description. Do not write new ones for this file.
  • Put in no fact the site does not already state: no new prices, claims, reviews or credentials.
  • Group pages by what they are, such as services, guides and company, not by their address.
  • Plain text only, with full https addresses and no tracking parameters.

How should you serve llms.txt?

  • At /llms.txt, with status 200 and text/plain; charset=utf-8.
  • Built from the same data as the pages, on each request or at each build, so it cannot go stale. A test that every address in the sitemap appears in the file catches the page someone adds next month.
  • Not blocked in robots.txt, and linked from the footer so people and crawlers can find it.

How do you check yours?

The free AI crawler checker says whether a site serves an llms.txt alongside what its robots.txt allows. A full read with mttr holds it to the rule among the rest, and the rulebook says how much it counts.

Try it on your site

See whether your site serves one

Type your domain. The checker says whether it serves an llms.txt, beside which AI crawlers its robots.txt lets in.

Free. Opens the AI crawler checker with what it finds.

Hand this to your agent

Have your agent write and serve it

Use mttr to read yoursite.com. Then write an llms.txt for it from the sitemap: the name, a one paragraph summary, the facts the site already states, and every page that should be found, each with its own title and description. Serve it at /llms.txt as text/plain, built from the same data as the pages, with a test that every address in the sitemap appears in it.

The calls it makes
  • mttr_pages({ site: "yoursite.com" })
  • mttr_rescan({ site: "yoursite.com" })

In Claude Code, Codex, Cursor or any agent connected to mttr over MCP. Connect once

Ship an llms.txt that stays true

mttr_rules()Every rule, llms.txt among them, with its stage, weight and fix

Sources

How the figures were counted. Every figure on this page is counted from the 316,710 sites mttr has read, each at its latest read, with drafts left out, and worked out again as the page is asked for. A share of pages counts only pages that were read: a site read only in part speaks for the pages read and no others. Each rule is the one in mttr's rulebook, decided by code. A score or a rule passed says pages are well formed. It does not say an assistant cites the site.

Read your own site

The same rules as the figures above, on your pages, with the fixes worth the most first.

Free, no sign-upScore, place and fixesAbout a minute

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