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Methodology

llms.txt

ia.llms-txt · 1.4

Read SHOULD Measured study AR-READ-07

Why it matters

llms.txt gives AI agents a curated entry point to your most important pages. Agents that fetch pages to complete a task get a short, structured overview instead of the full site.

How to fix it

Publish /llms.txt with an H1, a summary and Markdown links to your key pages on the canonical host.

  1. Create /llms.txt with an H1 title and a one-line blockquote summary.

    # Example
    
    > Example sells project software for small teams.
    
    ## Docs
    
    - [Quick start](https://example.com/docs/start): set up an account
    - [API reference](https://example.com/docs/api): REST endpoints
  2. Link only to pages on the canonical host that return HTTP 200.

  3. Link /llms.txt from the home page or from a Link header so that agents find it.

Test it with the free tool

Verify

curl -sf https://{domain}/llms.txt

Expected: HTTP 200 with a Markdown body that starts with an H1 and contains links

Run a new scan for this checkpoint:

isagentready results {domain} --checkpoint ia.llms-txt
Details Mapping, lifecycle and references
AR mapping
Full match
Score role
Bonus
Introduced
2026-08-24
Methodology version
2026-10-22

Checkpoint data (JSON)