llms.txt is a proposed markdown file at the root of your site that tells AI systems what your site is and which pages matter. Let us start with the honest part.
Does anything read it?
No major AI engine has committed to reading llms.txt. It is a community proposal, not a standard, and no announcement from OpenAI, Anthropic, Google or Perplexity says they consume it.
So why bother? Because the cost is about ten minutes and the file is a plain-language summary of what your product is and which pages answer which questions. If adoption comes, you are ready. If it does not, you have lost an afternoon coffee's worth of time and gained a useful summary document.
What you should not do is treat it as an SEO tactic. It will not affect rankings and there is no evidence it affects AI citations today.
The format
Markdown, served as plain text at /llms.txt:
# Acme
> Time tracking for freelancers who bill by the hour.
Acme records billable time, generates invoices, and syncs
with Stripe. Free for one project.
## Key pages
- [Pricing](https://acme.com/pricing): Plans and limits
- [Docs](https://acme.com/docs): API and integrations
- [Comparison](https://acme.com/vs/toggl): Acme versus Toggl
The structure is deliberate: an H1 with the name, a blockquote with a one-line summary, optional prose, then H2 sections of annotated links. The blockquote is the part a model is most likely to quote verbatim, so write it as the sentence you want repeated.
Free toolllms.txt GeneratorGenerate an llms.txt file that tells AI answer engines what your product is and which pages matter, in the markdown format the proposal specifies.How it differs from robots.txt
They are unrelated files that get confused constantly.
| robots.txt | llms.txt | |
|---|---|---|
| Purpose | Restrict crawling | Guide understanding |
| Format | Directives | Markdown |
| Audience | All crawlers | LLMs |
| Status | Standard since 1994 | Proposal |
| Effect | Enforced by convention | None yet |
robots.txt says what a crawler may not fetch. llms.txt says what a model should read first. One restricts, the other guides. Adding llms.txt does not block anything, and blocking AI crawlers in robots.txt makes your llms.txt pointless.
The markdown twin idea
The fuller version of the proposal suggests serving a .md version of each important page - /pricing also available at /pricing.md - giving models clean text with no navigation, no cookie banner and no scripts.
This is more work and more likely to matter than the index file, because it removes ambiguity about what your page actually says. If you generate pages from markdown already, exposing the source is nearly free.
What actually gets you cited today
If the goal is appearing in AI answers, these are what demonstrably matter now:
Do not block AI search crawlers. OAI-SearchBot and PerplexityBot fetch pages to answer live questions with citations. Blocking them removes you from the answer.
Answer the question in the first 40 words. AI answers quote passages, not pages. A page that opens with a direct answer gets quoted; one that opens with three paragraphs of context does not.
Use structured data. FAQPage, Article and Product JSON-LD give a model unambiguous, parseable facts rather than prose it has to interpret.
Publish specific, checkable numbers with dates and sources. Models cite claims they can attribute. "Around 40%" is unquotable; "38% of 1,200 sites tested in August 2026" is.
Be structurally clear. Descriptive H2s, short paragraphs, real tables. The same things that help a skim-reader help a retrieval system.
Adding llms.txt is a ten-minute bet on a proposal that may never land. Answering questions directly in the first paragraph and shipping valid structured data are what get you cited this month.
Launch it where the numbers are checked
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