llms.txt Generator + Validator
Free, no signup. Build a clean llms.txt that points LLMs at your key pages, or paste one you already have and check that it's well-formed.
| Check | Status when healthy |
|---|---|
| H1 | One site-name H1 |
| Summary | A short blockquote is recommended |
| Links | Grouped, absolute HTTPS URLs |
| Size | Keep the map concise (under ~20 KiB) |
llms.txt is a community proposal
(llmstxt.org), not an official standard.
No major AI crawler is documented to read it today. Treat it as low-effort, low-risk housekeeping —
not a ranking lever. If you want to influence what AI systems can access, that's
robots.txt and your on-page content, not this file.
More on how AI crawlers actually work → Upload your own access log to the Log File Analyzer. Its browser-local /llms.txt report distinguishes verified AI crawler requests, unverifiable crawler claims, spoofed claims, other traffic, and no observation in the supplied period. A request is retrieval evidence only—not proof of rankings, citations, or broad provider adoption.
The Optional section (a crawler may skip it) is emitted last automatically — just name a section “Optional”.
Runs entirely in your browser — nothing you paste is uploaded or stored. Anonymous run-level outcome counters may be used for aggregate research; URLs, domains, IPs, and identifiers are never included, and no statistic is released below 100 runs.
We fetch only <domain>/llms.txt (nothing else) — browsers can't, because of CORS.
Runs entirely in your browser — nothing you paste is uploaded or stored. Fetch by URL sends only the domain to our server to retrieve /llms.txt (browsers can't — CORS); validation still runs locally. Anonymous run-level outcome counters may be used for aggregate research; URLs, domains, IPs, and identifiers are never included, and no statistic is released below 100 runs.
Sample report
Fill in a site name, a summary, two sections, and an Optional link, and the generator emits this
llms.txt — one # title, a > summary blockquote,
## section headings with Markdown link rows, and the Optional section
moved to the end:
# Acme Docs
> Acme builds developer tools. This file maps our docs, guides, and API reference.
## Docs
- [Getting started](https://acme.example/docs/start): 5-minute quick start
- [API reference](https://acme.example/docs/api): every endpoint and field
## Guides
- [Authentication](https://acme.example/guides/auth): tokens, scopes, rotation
## Optional
- [Changelog](https://acme.example/changelog)
Example data — captured by running this page's own validator against the file above
- 0 errors, 0 warnings — the file has a title, a summary placed right after it,
absolute
https://links grouped under sections, and no duplicates. See what each severity means ↓. - "Optional" landed last automatically because the generator always emits that named section after every other section, regardless of input order.
- A clean validator result says nothing about adoption — no major AI crawler has
published support for reading
llms.txt. Read llms.txt for why this is a proposal, not a directive.
How to use it
- Generate tab: enter your Site name (becomes the required
#title) and a one-line summary (the>blockquote). Optionally add a Site URL so off-site links get flagged. - Add sections (Docs, Guides, Blog) and a link row under each —
title, absolute
https://URL, and optional notes. Or hit Prefill from sitemap.xml to auto-bucket URLs by their first path segment. - Name any section “Optional” and it is emitted last automatically — that's the proposal's skippable section. Watch the live Output pane; it self-validates as you type.
- Copy, Download llms.txt, or Copy share link (state is packed into the URL fragment — nothing is sent anywhere).
- Validate tab: paste an existing file, or switch to
Fetch by URL, enter a domain, and we pull only its
/llms.txtfor you. Read the error/warning/info pills and the parsed-structure preview.
+ saves the current site or page. Use ☆ beside any saved site, page, or list to favorite it. Recent check history appears below.
Create a named list
Target filled from your local choices.
Site passport Local context for this saved site
Local data
Saved targets, named lists, and recent check summaries remain only in this browser.
Rate this tool
Where this is heading: serving Markdown to LLMs
Looking ahead — not something to do today. llms.txt and per-page Markdown are proposals no major AI crawler is documented to consume yet.
llms.txt is a directory — one file pointing at your key pages. The more interesting
idea, once AI clients adopt it, is content negotiation: same URL, two representations.
Serve HTML to browsers and a clean Markdown rendering to LLM clients,
and decide which at the edge.
A Cloudflare Worker picks the representation from the request — either
Accept: text/markdown or a known AI user-agent — and emits
Vary: Accept (or Vary: User-Agent) so shared caches don't hand the wrong
variant to the wrong client.
It's exactly the move behind this site's hybrid /robots.txt —
same bytes, only the Content-Type label negotiated — just extended to actual content,
and to a real body difference rather than only a header.
This tool does two jobs: it generates a well-formed llms.txt from a
simple form (or a sitemap you upload), and it validates one you paste or fetch from
a live domain. Both run entirely in your browser. For context on why this file is optional
housekeeping rather than a ranking move, see
how AI crawlers actually work and
the llms.txt explainer.
What the results mean
The validator groups findings into three severities, shown as pills:
- The file breaks the proposal's shape —
no
#title, a malformed list item that isn't a[title](url)link, a relative (non-absolute) URL, or an empty file. - Well-formed but not ideal — no
>summary, anhttp://link, a duplicate URL, a second#H1, or links that appear before any##section. - Advisory only — a summary placed
somewhere other than right after the title, an off-site link, a deep
###heading that isn't part of the structure, or a file large enough (past 20 KiB) to have stopped being a concise map.
A green result means the file is well-formed against the proposal. The result summary is deliberately blunt that this validates form only and cannot guarantee any AI system consumes the file.
How it works
The generate/parse/validate engine (src/lib/tools/llms-txt.ts) is pure TypeScript with
no DOM and no network calls, so everything you do in the Generate and
paste flows happens locally in your browser — your draft never leaves the page.
The parser reads line by line: it recognises the # title, a >
blockquote summary, ## section headings, and Markdown link list items, while skipping
the insides of fenced ``` code blocks so they aren't misread as directives. It then
runs file-level checks — required title, recommended summary, duplicate URLs, absolute-URL and
HTTPS rules, and size — and rolls everything into the error/warning/info tally.
The one server touch is Fetch by URL: browsers can't fetch another site's
/llms.txt because of CORS, so a small SSRF-guarded, cached proxy
(/api/llms-fetch) pulls only that exact path — nothing else on the domain — and hands
the body back for validation.
Features
- Form-based generator with add/remove sections and link rows, live output, and self-validation as you type.
- Prefill from sitemap.xml — upload a sitemap and it buckets URLs by first path segment into ready-to-edit sections.
- Automatic handling of the Optional section (always emitted last).
- Copy, download, and a share link that packs your draft into the URL fragment (compressed, never sent to a server).
- Validator with paste or live Fetch /llms.txt by domain, an error/warning/info tally, per-line findings, and a parsed-structure preview.
- Runs client-side; the only server call is the CORS-bypassing llms.txt fetch.
Limitations
It validates the form of the file against the community proposal — it cannot tell
you whether any AI crawler reads it, because none is documented to. It checks link syntax
(absolute, HTTPS, well-formed Markdown) but does not crawl the links to confirm they resolve or
return the content you claim. The sitemap prefill is a starting point, not a curation step — an
llms.txt is only useful if you trim it to your genuinely important pages. And this is
not a lever for AI visibility: what AI systems can access is governed by your
robots.txt and your on-page content.
Frequently asked questions
Do AI crawlers actually read llms.txt?
Not in any documented way. llms.txt is a community proposal from llmstxt.org, not an official standard, and no major AI crawler (OpenAI, Google, Anthropic, Perplexity) has published support for reading it. Treat it as low-effort, low-risk housekeeping — a tidy map of your best pages — not a ranking lever. What AI systems can actually reach is governed by your robots.txt and your on-page content.
What goes in an llms.txt file?
One required "# " H1 title (your site name), a recommended "> " blockquote one-line summary right after it, then "## " section headings (Docs, Guides, Blog) each containing Markdown link list items in the form "- [title](url): optional notes". A special "## Optional" section holds links a crawler may skip. Every link URL should be an absolute https:// address the LLM can fetch directly.
Where does the llms.txt file go on my site?
At the root of your domain, served at https://site.example/llms.txt — the same location convention as robots.txt. This validator can fetch that exact path for any domain (via a small server-side proxy, because browsers cannot fetch cross-origin) so you can check a live file without pasting it.
What does the validator check?
The form of the file against the proposal, not whether anything reads it. It flags a missing H1 title (error), missing summary (warning), malformed or relative link URLs, http:// links, duplicate URLs, links that appear before any section, deep "### " headings that are not part of the structure, off-site links, and files large enough to have stopped being a concise map. It cannot and does not guarantee any AI system consumes the file.
How big should llms.txt be?
Small. It is a directory of links, not a copy of your content. The validator raises an informational note once a file passes about 20 KiB, because at that size it has usually stopped being a concise map and started duplicating pages. If you want to serve full clean content to LLMs, that is per-page Markdown and content negotiation, not a bigger llms.txt.
Feature requests for Llms Txt
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Sobre a ferramenta
Grátis, sem cadastro. Build um clean llms.txt que points LLMs em seu chave páginas, ou paste um você já têm e verificação que it's well-formed.
Build um well-formed llms.txt pointing LLMs em seu chave páginas, ou paste um você têm e verificação seu structure — gratuito, e honesto it's não um standard ainda.
Recursos
- Copy, download, e um participação link que packs seu draft em o URL fragment
- Este ferramenta faz dois jobs: isso generates um well-formed llms.txt de um
- ( llmstxt.org ), não um official standard .
- well-formed against o proposal. O resultado summary é deliberately blunt que este valida
Como funciona
O form de o file against o proposal, não whether anything reads isso. Isso flags um ausente H1 título (Erro), ausente summary (aviso), malformed ou relative link URLs, http:// links, duplicate URLs, links que aparecer antes qualquer seção, deep "### " headings que são não part de o structure, off-site links, e files grande suficiente para têm stopped being um concise mapa. Isso cannot e faz não garantia qualquer AI system consumes o file.
Limitações
- Heads up: llms.txt é um community proposal
- Não em qualquer documentado way. llms.txt é um community proposal de llmstxt.org, não um official standard, e Não major AI rastreador (OpenAI, Google, Anthropic, Perplexity) tem publicado sustentam para reading isso. Trate isso como low-effort, low-risk housekeeping — um tidy mapa de seu best páginas — não um classificação lever. O que AI systems pode actually reach é governed por seu robots.txt e seu on-page conteúdo.
Perguntas frequentes
Do IA rastreadores na verdade leitura llms.txt?
não em qualquer documentdo way. llms.txt é a communidade proposal de llmstxt.org, não um oficial padrão, e não major IA crawler (OpenAI, Google, Anthropic, Perplexity) tem publicado suporte para readndo ele. Treat ele como low-effort, low-risk housekeepndo — a tidy mapa de seu best páginas — não a ranqueamento lever. What IA sistemas pode na verdade reach é governdo por seu robots.txt e seu on-page conteúdo.
What goes em um llms.txt arquivo?
um obrigatório "# " H1 título (seu site nome), a recommenddo "> " blockquote one-line summary right depois ele, então "## " seção títulos (Docs, Guides, Blog) cada containndo Markdown link lista items em o formar "- [título](url): opcional notes". A special "## opcional" seção holds links a crawler may skip. cada link URL should be um absolute https:// address o LLM pode buscar diretamente.
onde faz o llms.txt arquivo go em my site?
em o root de seu domain, servdo em https://site.example/llms.txt — o mesmo locação convenção como robots.txt. esta validator pode buscar que exatos path para qualquer domain (via a pequeno server-side proxy, porque browsers não pode buscar cross-origin) so você pode verificar a ao vivo arquivo sem pastndo ele.
What faz o validator verificar?
o formar de o arquivo contra o proposal, não whether anythndo lê ele. ele sinaliza a ausentes H1 título (erro), ausentes summary (aviso), malformdo ou relative link URLs, http:// links, duplicate URLs, links que aparecem antes qualquer seção, deep "### " títulos que are não part de o structure, off-site links, e arquivos grande suficiente para têm stoppdo bendo a concise mapa. ele não pode e faz não garantir qualquer IA sistema consumes o arquivo.
como big should llms.txt be?
pequeno. ele é a directory de links, não a copy de seu conteúdo. o validator raises um informational note once a arquivo passa sobre 20 KiB, porque em que size ele tem normalmente stoppdo bendo a concise mapa e startdo duplicatndo páginas. se você want para serve completo clean conteúdo para LLMs, que é per-page Markdown e conteúdo negotiação, não a bigger llms.txt.