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Jul 23, 2026 · 5 min read

What Is llms.txt? (and How to Write One)

llms.txt is a proposed file that tells AI systems which of your pages matter most. Here is what llms.txt is, whether it helps, and how to write one in a few minutes.

llms.txt is a proposed standard: a plain-text file at the root of your site (yoursite.com/llms.txt) that points AI systems to your most important pages in a clean, easy-to-read format. Think of it as a curated map for language models, the way robots.txt is a map for crawlers.

Why it exists

Web pages are cluttered with navigation, ads and scripts that make it harder for a model to find the substance. llms.txt lets you hand the model a tidy list of your key URLs with short descriptions, so it does not have to guess what matters. It is an emerging convention, not yet a rule every engine obeys, but it is cheap to add and forward-looking.

What it looks like

The format is just Markdown. A minimal example:

  • A top # Your Brand heading and a one-line summary of what you do.
  • A section of key links, each as [Page title](https://…): short description.
  • Optional sections for docs, product pages, and an “Optional” group for less critical links.

How to write one in a few minutes

  1. List your 10 to 20 most important pages, product, pricing, best guides, docs.
  2. Write a one-line description for each, plainly.
  3. Save it as llms.txt and put it at your site root.
  4. Keep it updated when you ship important pages.
A map only helps if the destinations are good. Before you list a page in llms.txt, make sure it is actually citable, run it through the free GEO Content Score and fix the weak parts.

Does it actually help?

It will not rescue thin content, and not every engine reads it yet. But it is low-effort, it makes your priorities explicit, and it fits the broader job of making your site easy for AI to understand and cite. Add it, then focus your energy on the content itself.

Make sure the pages you point AI to are actually citable.

Free to try, no credit card.

Open GEO Content Score