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A practical first look at llms.txt for your site

llms.txt is a proposed Markdown file that points readers to selected pages. We’ll look at what belongs in one, how to publish it, and what you can actually check afterward.

In shortllms.txt is a proposed way to make a short map of useful pages on your site. You get a simple decision test, a drafting method, and checks for its live location and links. A first version can be prepared once the key pages and publishing access are clear. The file itself does not show whether an outside platform has used it.
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A small map for the pages you want people to find

Picture a validator team when questions keep repeating in chat. New people ask where the project docs, token details, and support guidance live. A short, carefully chosen page list could give them one place to start.

llms.txt is a proposed Markdown convention for listing important pages on a website. It gives a reader a compact orientation and links to material your team considers useful. Think of it as a signpost, not a second website or a summary of every page.

For a Web3 project, the list might point to a project overview, technical documentation, public disclosures, or support information. Include a page only when it answers a real question and makes sense on its own. A bare link to a confusing or outdated page does not make that page clearer.

The format is worth considering when your best explanations are hard to locate. It is less useful as a task done just because the filename is being discussed. Our guide to technical AEO, schema, and crawlers covers nearby technical choices. But the first question here is simpler: would a short map help someone find the right explanation?

Would llms.txt solve a problem your readers have?

llms.txt may fit when useful information exists but people struggle to find it. It is optional when your pages are already clear, current, and easy to navigate. Start by checking the experience of a new reader, rather than assuming the file will change search visibility.

Say someone joins your community and asks where the validator requirements are explained. If the answer takes several chat messages, note the best existing page first. If that page is incomplete, improve it before linking to it from a new file.

Start with the reader’s route

List the questions people ask repeatedly. Match each one to a public page that answers it plainly. If several pages repeat the same facts differently, resolve that mismatch before creating another index.

Keep the job modest

A useful file can help organize your own reference material, too. It gives your team a quick list to review when a key page moves or changes. Our llms.txt and AI crawler setup guide looks at related setup questions. Neither page replaces the basic test: can a reader follow the links and understand the subject?

If you cannot name a reader problem the file would address, you can leave it for later. Clear navigation and strong destination pages remain worthwhile without it.

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Build the draft from questions, not from a URL export

A useful llms.txt file starts with a brief orientation and a small group of relevant pages. Draft it from the questions a newcomer needs answered, then check every link against the public site.

  1. Name the subject. Write a short opening that tells readers which project or site the file describes.
  2. Choose the reference pages. Include pages for the project overview, documentation, important disclosures, and support where they exist and are current.
  3. Group related links. Use plain headings so a reader can scan the file without knowing your internal terms.
  4. Check every description. Make sure each label says what its destination actually contains.

For example, a project might have separate pages for protocol documentation and security disclosures. Give each a clear label instead of relying on a reader to infer its purpose from a URL. If a page is missing, create or improve that destination before adding it to the list.

Before publication, ask a teammate unfamiliar with the draft to follow the links. Can they find the relevant information without asking you what a heading means? Our citable content for AI assistants guide offers more ways to make those destination pages easier to understand.

Put the file where the intended site can serve it

To publish llms.txt, place the reviewed Markdown file at the root of the domain it describes, then check its public address. Confirm the domain and publishing route before writing a final version, especially if your project uses more than one site or subdomain.

Check What to confirm
Domain The file describes the intended site or subdomain.
Location The public file is available at that domain’s /llms.txt path.
Content The live version matches the approved draft.
Links Each link opens the intended public page.

A content management system, hosting setup, or release process may affect who can add a file at the root. Ask the person who handles site changes to confirm the route before you plan around it. After publishing, open the public address in a browser and test each link, not just the first one.

Keep an approved copy with your site notes. When a linked page moves, check whether the file needs an update. For a separate structured-data question, see our schema markup for AI search guide; the two approaches have different jobs.

Use evidence you can inspect directly

You can assess the file by checking whether it is available, accurate, and useful to a reader. Record its public address, the pages it names, and any corrections made during review. Those are concrete checks your team can repeat after changes.

Try a 4-part review: open the live file and confirm the approved text appears. Follow every link, then ask another person to explain what the linked pages cover. If they cannot find an answer, improve the destination or reconsider its place in the list. Keep a copy of the reviewed version so later edits have a clear reference.

The file can also help your team keep an eye on its most important public explanations. If a product page or disclosure changes, check the description and link while the update is fresh. For content questions beyond this file, our FAQ optimization for AI answers guide may help you organize answers on the pages themselves.

A calm next step is to gather the URLs people already share in chat. Review those pages with one teammate, then decide whether a short index would make the path easier.

Keep the file separate from platform decisions

An llms.txt file can show which pages your team chose to highlight; it cannot confirm how an outside platform handled them. The convention is proposed. Each platform controls its own access, interpretation, and use of web content, so publication cannot promise a citation or ranking outcome.

That distinction gives you a practical way to report the work. Confirm the live location, compare it with the approved draft, and check whether its links resolve. Keep those observations separate from any review of how your project appears in search or assistant responses.

If you want another person to check the implementation, share the draft, the domain it describes, and the pages you selected. At Brand Community, we can review the live URL and link list with you, then flag any mismatches between the file and its destinations. Start with the pages your team already trusts; after that, you can decide whether publishing the map is useful.

How it works

  1. Choose the domainDecide which site or subdomain the file describes. Check who can publish a file at its root.
  2. Pick reader-ready pagesGather public pages that answer common questions. Leave out anything outdated or unclear.
  3. Write and reviewAdd a short orientation, plain headings, and useful links. Check that each label matches its page.
  4. Publish and testPlace the file at the intended root address. Open it publicly and follow every link.
  5. Keep it currentSave the approved version and revisit the links when important pages change or move.

Frequently asked questions

How can I tell whether llms.txt is worth adding?

Add it when a short map would help people find your clearest public information. First check whether those pages are current and understandable. For example, if newcomers keep asking where the project documentation lives, an index may give them a simpler route. If the pages themselves need work, improve those first.

What belongs in an llms.txt file for a Web3 project?

Choose public pages that explain the project and answer common questions, such as an overview, protocol documentation, disclosures, or support guidance. Include a page only when it is current and clear by itself. A short list of strong references is easier to review than a long export of unrelated URLs.

Where do I publish the llms.txt file?

The proposed convention places the file at the root of the domain it describes, at that domain’s /llms.txt path. If your project has separate domains or subdomains, decide which site each file represents. Ask whoever manages publishing to confirm the route, then open the public address after release.

How do I check that my llms.txt file is live?

Open its public address and compare the displayed text with your approved draft. Follow each link to confirm it reaches the intended page. A simple check has 4 parts: location, content, working links, and clear destinations. Keep a copy of the reviewed file so you can compare future edits.

Is llms.txt the same as schema.org?

No. llms.txt is a proposed map that points to selected pages. Schema.org is a structured vocabulary used to describe information on pages. They can serve different roles on the same site, but both should match information visitors can actually see. Neither is a substitute for clear, accurate page content.

Does publishing llms.txt mean an AI assistant will use it?

No. A live file lets you present selected pages, but each platform decides how it accesses and uses web content. You can verify that the file is published, accurate, and linked correctly. Those checks do not show that a particular assistant has fetched, interpreted, or cited it.

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