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Comprobador de llms.txt

A free llms.txt validator. Check a live URL or paste a draft, and the checker parses the file against the llmstxt.org specification: H1 title, blockquote summary, detail blocks and H2 link lists. You get a score out of 100, a grade, and the exact lines to fix.

Free · no sign-up · URL or pasted content

A bare domain works — we add https:// and look for /llms.txt and /llms-full.txt at the site root.

What is an llms.txt checker?

An llms.txt checker is a tool that tests whether an llms.txt file follows the llmstxt.org specification. This free validator fetches the file from your site, or reads a draft you paste, and checks five rules: Markdown format, one H1 title, a blockquote summary, heading-free detail blocks and H2 link lists. It returns a score out of 100, a grade and line-by-line fixes, with no sign-up.

The five rules the validator checks

Each rule maps to a requirement in the llmstxt.org specification. Every finding is marked as an error, a warning or a note.

Markdown format

The file is plain markdown that parses cleanly, with nothing the spec doesn't allow.

H1 title

Exactly one H1 with the site or project name, at the top. It is the only required section.

Blockquote summary

A short > summary directly under the H1, so the links that follow have context.

Detail blocks

Optional paragraphs or lists after the summary, with no headings before the first H2.

H2 file lists

Each H2 section holds - [name](url): note items, and a section named Optional comes last.

Score, grade and preview

Generate a file

A 0 to 100 score with an A to F grade, findings grouped by severity, and a rendered preview of the file.

How to validate an llms.txt file

Check, fix, publish, and check again.

  1. Pick an input mode

    Choose Check by URL to validate a file that is already live, or Paste content to validate a draft before you publish it.

  2. Enter your URL or file

    Type a bare domain, a site root, or a direct /llms.txt URL — the protocol is added for you. In paste mode, drop the full markdown into the text box.

  3. Run the check

    Press Check or Validate. The file is fetched, split into specification blocks, and scored against the five structural rules.

  4. Read the score and grade

    The score ring shows weighted compliance out of 100 with a letter grade, plus how many rules passed, warned, or failed.

  5. Work through the findings

    Each finding names the rule, the line number, and the exact change to make. Expand a rule card to see every detail behind its status.

  6. Fix, publish, and re-check

    Apply the fixes, upload the file to your site root so it is served at yourdomain.com/llms.txt, then run the URL back through the checker to confirm it passes.

How to read the llms.txt report

Start with the errors, then the warnings. Notes are suggestions, not failures.

Score and grade

A weighted score from 0 to 100 with a letter grade from A to F. Each of the five rules carries part of the weight.

Passed, warned, failed

How many of the five rules the file passes outright, passes with warnings, or fails.

Errors

Breaks the specification, such as a missing H1 or link lines that aren't list items. Fix these first.

Warnings

Allowed but likely to confuse a parser, such as a missing summary or an Optional section that isn't last.

Line numbers

Each finding points at the line to change, so you can fix the file in any text editor.

Preview

A rendered view of the title, summary and link sections, the way a program would read them.

¿Qué es llms.txt?

llms.txt is a markdown file published at the root of a website — tudominio.com/llms.txt — that gives large language models a short, curated map of the site. Instead of asking a model to crawl navigation, scripts and boilerplate, the file hands it a title, a summary and a list of the pages that actually matter.

The format is defined by the specification at llmstxt.org. It is deliberately small: only H1 and H2 headings exist, and the body of each section is a list of links. That constraint is what makes the file both human-readable and trivially parseable by a program.

The spec also describes a companion convention, /llms-full.txt, which contains the expanded content itself rather than an index of links.

El orden requerido, según la especificación

  1. An optional byte-order mark at the very start of the file.
  2. An H1 with the name of the project or site — the only required section.
  3. A blockquote with a short summary containing the key information needed to understand the rest of the file.
  4. Zero or more markdown blocks — paragraphs, lists, tables — of any type except headings.
  5. Zero or more sections delimited by H2 headers, each containing a file list of `- [name](url)` items with optional `: notes`.
  6. A section named exactly “Optional” has special meaning: its URLs may be skipped when a shorter context is needed.

Las 5 reglas de validación que comprobamos

Cada comprobación se corresponde directamente con una cláusula de la especificación de llmstxt.org. Cada regla se califica y el total ponderado se convierte en tu puntuación de conformidad y calificación por letra.

Formato Markdown markdown-format

El archivo debe estar en formato markdown y solo debe contener encabezados H1 y H2.

Sirve markdown plano en /llms.txt — sin HTML, sin front-matter YAML y sin encabezados H3–H6. Cualquier nivel inferior a un H2 queda fuera de la especificación.

Título del proyecto H1 h1-title

Un H1 con el nombre del proyecto o sitio. Esta es la única sección obligatoria.

Inicia el archivo con una sola línea `# Nombre De Tu Sitio`. Es la única parte obligatoria de la especificación y debe haber exactamente una.

Resumen en cita blockquote-summary

Una cita en bloque con un breve resumen del proyecto, que contenga la información clave necesaria para comprender el resto del archivo.

Coloca un `> resumen de un párrafo` directamente debajo del H1. Explica qué es el sitio y a quién sirve, para que un modelo pueda interpretar cada enlace a continuación.

Bloques de detalle sin encabezados project-details

Cero o más secciones en markdown (por ejemplo, párrafos, listas, tablas) de cualquier tipo excepto encabezados, que contengan información más detallada.

Añade contexto opcional después del resumen en forma de párrafos, listas o tablas. No utilices ningún encabezado aquí; el siguiente encabezado del archivo debe ser tu primera sección H2.

Secciones H2 con listas de archivos file-lists

Cero o más secciones en markdown delimitadas por encabezados H2, que contengan listas de URL con información detallada adicional.

Agrupa los enlaces bajo encabezados `## Nombre de sección`, un enlace por línea con el formato `- [Nombre](https://url-absoluta): notas opcionales`. Una sección llamada exactamente `Optional` se puede omitir cuando se necesite un contexto más corto, así que déjala al final.

Cómo escribir un archivo llms.txt compatible

Guía de implementación

Seis decisiones para mantener el archivo dentro de la especificación.

  1. Empieza con un solo H1. Usa el nombre de tu sitio o proyecto, sin nada encima salvo una marca de orden de bytes opcional. Esta es la única sección que exige la especificación.
  2. Añade el resumen en una cita en bloque. Un párrafo `>` directamente bajo el H1 que explique de qué trata el sitio, para que los enlaces de abajo tengan contexto.
  3. Mantén los bloques de detalle sin encabezados. Se permiten párrafos, listas o tablas adicionales después del resumen, pero sin encabezados hasta llegar al primer H2.
  4. Agrupa los enlaces bajo secciones H2. Nombra las secciones según lo que buscaría un modelo: Docs, Guides, API, Blog. En este formato solo existen H1 y H2.
  5. Escribe los elementos de la lista de archivos exactamente así. `- [Nombre de página](https://example.com/pagina): nota breve`. Usa URLs absolutas para que un modelo pueda resolverlas sin una URL base.
  6. Coloca «Opcional» al final. Una sección titulada exactamente Optional puede omitirse cuando se necesita un contexto más breve. Resérvala para páginas secundarias y mantenla al final.

La plantilla de la especificación

El ejemplo canónico publicado en llmstxt.org: cópialo y completa con tus propios valores.

# Title

> Optional description goes here

Optional details go here

## Section name

- [Link title](https://link_url): Optional link details

## Optional

- [Link title](https://link_url)

· Save it as llms.txt and upload it to your site root so it is served at tudominio.com/llms.txt, then run it back through this checker.

The specification this checker follows is published and maintained at llmstxt.org.

What this llms.txt validator doesn't do

  • It checks structure against the specification, not whether the pages you list are your best ones or still load.
  • It doesn't fix the file for you; each finding says what to change.
  • A perfect score doesn't mean AI engines will read the file or cite you. llms.txt is a voluntary convention.
  • In URL mode it reads what your server returns at /llms.txt. If a firewall or bot protection blocks the request, paste the file instead.

Questions about llms.txt

Something else? Ask the team

What is llms.txt?

llms.txt is a markdown file published at the root of a website that gives large language models a short, curated map of the site. The specification at llmstxt.org defines its structure: an H1 with the project or site name, a blockquote summary, optional heading-free detail blocks, and H2 sections containing file lists of the form - [name](url): optional notes.

Where does the llms.txt file have to be located?

At the root of your domain, served at yourdomain.com/llms.txt. The specification also describes a companion file, /llms-full.txt, which holds the expanded content itself instead of an index of links. This checker looks for both when you validate by URL.

What does this llms.txt checker validate?

Five structural rules drawn from the specification: that the file is markdown using only H1 and H2 headings, that it opens with a single H1 project title, that a blockquote summary follows it, that any further detail blocks contain no headings, and that each H2 section contains a file list of link items. Each rule is weighted, and the total becomes a score out of 100 with a letter grade.

Is the blockquote summary required in llms.txt?

The H1 with the project name is the only section the specification marks as required. The blockquote summary is described as part of the expected structure and carries the key information needed to understand the rest of the file, so this checker treats a missing summary as a problem worth fixing rather than a hard failure of the format.

What does the Optional section mean in llms.txt?

A section named exactly Optional has special meaning in the specification: the URLs listed under it may be skipped when a shorter context is needed. Use it for secondary pages such as contact, legal and policy pages, and keep it as the last section in the file.

What is the difference between llms.txt and llms-full.txt?

llms.txt is a compact index — a title, a summary, and lists of links to the pages that matter. llms-full.txt is the companion convention that contains the full content itself in one file, for cases where a model should read the material rather than follow links to it.

Does llms.txt replace robots.txt or a sitemap?

No. robots.txt tells crawlers what they are allowed to fetch and a sitemap lists every indexable URL. llms.txt does neither — it is a curated summary that tells a language model which content is worth reading and how the site fits together. They serve different purposes and can all coexist at the site root.

Do I need an account to use this llms.txt checker?

No. The checker is free and requires no sign-up. You can validate a live URL or paste the contents of a draft file, and the results are returned to you without being published anywhere.

How do I validate an llms.txt file?

Enter your site address (the checker fetches /llms.txt) or paste the file's contents, then run the check. Fix each error and warning it lists, publish the file at your site root, and run the check again until the score is where you want it.

Is this llms.txt validator free?

Yes. The checker is free and needs no account. It works on a live URL or on pasted content, so you can test a draft before you publish it.

See whether AI engines use your pages

A valid llms.txt is a map. AI Rank Lab shows whether ChatGPT, Claude, Gemini, Perplexity and Google's AI answers actually mention and cite you.

Brand Visibility

Run the prompts your buyers ask on six AI engines and record whether your brand is mentioned, where, in what tone, and which URLs are cited. Every run is stored so you can compare over time.

  • ChatGPT, Claude, Gemini, Perplexity, AI Overviews and AI Mode
  • Mentions, position, sentiment and cited URLs
  • Runs when you choose, stored for comparison
See brand visibility
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Brand Visibility

12 prompts · last run

Illustrative data
Mentioned in answersshare of prompts
  • ChatGPT42%
  • Claude35%
  • Gemini28%
  • Perplexity51%
  • AI Overviews22%
  • AI Mode19%

Runs when you choose to run it. Every run is stored so you can compare over time.

See where you stand in search and AI

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