What it can do
Provide a concise map
A maintained file can summarize the project and point agents or tools toward canonical public resources in a compact, machine-readable format.
Free checker and generator
llms.txt checker and generator
Create a concise llms.txt starting file, validate its basic structure, and check whether your deployed site makes the file publicly discoverable.
Free llms.txt generator
Generate a concise, standards-aligned starting file
The proposed format starts with one H1, a blockquote summary, and Markdown lists of important pages. Edit the result before publishing it at your site root.
What it cannot prove
Adoption, retrieval, or ranking
A valid file does not prove that a provider fetched it, used it, cited the site, or changed an answer. Measure those outcomes separately with preserved answer evidence.
The proposed format
Keep the root file small, factual, and maintained
01
Start with one H1
Use the official project, company, or site name. This is the only required section in the proposal.
02
Add a blockquote summary
State what the site is, who it serves, and the minimum context needed to interpret the links.
03
Group important links
Use H2 sections and Markdown lists. Link to canonical public URLs, preferably with concise descriptions.
04
Remove stale or unsupported claims
Treat the file as maintained source material, not a keyword list or a place to repeat every navigation item.
Already published?
Check the live file and the technical foundation around it
The readiness check looks for public llms.txt discovery along with indexability, crawler access, metadata, schema, canonical signals, question content, and sitemap discovery.
Free technical preflight
Is your site ready to be found and understood?
Check the public signals AI search systems depend on. No account, API key, or model spend required.
Measure outcomes separately
A valid file is readiness evidence, not visibility evidence.
Test real buyer questions across providers to see whether the brand is actually mentioned or cited.
Contextual next steps
Connect this resource to answer evidence
Use the next resource that matches the decision at hand: define the program, inspect the method, or collect a comparable cross-provider baseline.
01
Measure mentions and citations
Run a frozen 25-question benchmark across four providers and inspect the underlying answer evidence.
02Choose the AEO or GEO lens
Map answer selection, brand understanding, SEO, and cross-model measurement to the right program.
03Technical readiness MCP
Give an agent a read-only check for indexability, canonicals, schema, sitemaps, and crawler access.
Common questions
Use the resource without overstating the result
What is llms.txt?
llms.txt is a proposed Markdown-based format, published at a site's /llms.txt path, that gives language models a concise overview and links to important resources. The proposal requires an H1 project name and defines optional summary and link sections.
Does llms.txt improve AI rankings?
No universal ranking benefit is established. Treat llms.txt as an optional machine-readable map that complements crawlable HTML, accurate canonical facts, internal links, sitemaps, structured data, and useful source pages.
How do I check whether llms.txt is installed?
Request /llms.txt from the site's canonical HTTPS origin and confirm it returns a public text or Markdown response. The readiness checker on this page checks discovery of the file alongside other public technical signals.
What should an llms.txt file contain?
Start with the site or project name, a concise canonical summary, and a short list of the most important public pages with descriptive labels. Avoid unsupported marketing claims, private URLs, duplicate navigation, and stale facts.
Apply this resource
Put llms.txt checker into a measured workflow
Preserve the questions, conditions, answers, citations, and failures so the next decision rests on inspectable evidence.