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Проверка 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.

Что такое llms.txt?

llms.txt is a markdown file published at the root of a website — yourdomain.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.

Требуемый порядок согласно спецификации

  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.

5 правил валидации, которые мы проверяем

Каждая проверка напрямую соответствует пункту спецификации llmstxt.org. Каждое правило оценивается, а взвешенная сумма определяет ваш показатель соответствия и буквенную оценку.

Формат Markdown markdown-format

Файл должен быть в формате markdown, причем в нем допускаются заголовки только уровней H1 и H2.

Размещайте чистый markdown по адресу /llms.txt — без HTML, без метаданных YAML и без заголовков H3–H6. Всё, что глубже уровня H2, выходит за рамки спецификации.

Заголовок проекта H1 h1-title

Заголовок H1 с названием проекта или сайта. Это единственный обязательный раздел.

Начните файл с одной строки `# Your Site Name`. Это единственная обязательная часть спецификации, и она должна присутствовать в единственном числе.

Краткая цитата-резюме blockquote-summary

Блок цитаты с краткой сводкой о проекте, содержащей ключевую информацию, необходимую для понимания остальной части файла.

Поместите `> краткую сводку в один абзац` сразу под заголовком H1. Объясните, что это за сайт и кому он служит, чтобы модель могла правильно интерпретировать каждую ссылку ниже.

Блоки с подробностями без заголовков project-details

Ноль или более разделов markdown (например, абзацы, списки, таблицы) любого типа, кроме заголовков, содержащих более подробную информацию.

Добавьте дополнительный контекст после сводки в виде абзацев, списков или таблиц. Не используйте здесь заголовки — следующим заголовком в файле должен быть ваш первый раздел H2.

Разделы H2 со списками файлов file-lists

Ноль или более разделов markdown, разделенных заголовками H2, содержащих списки URL-адресов с дополнительной информацией.

Группируйте ссылки под заголовками `## Название раздела`, по одной ссылке на строку в формате `- [Название](https://absolute-url): необязательные примечания`. Раздел с точным названием `Optional` может быть пропущен, когда требуется более короткий контекст, поэтому оставляйте его последним.

Как составить файл llms.txt, соответствующий стандартам

Руководство по внедрению

Шесть решений, которые удерживают файл в рамках спецификации.

  1. Начните с одного тега H1. Используйте название вашего сайта или проекта — ничего выше него, кроме опционального маркера последовательности байтов (BOM). Это единственный обязательный раздел по спецификации.
  2. Добавьте краткое описание в цитате. Один абзац `>` прямо под H1, объясняющий суть сайта, чтобы ссылки ниже имели контекст.
  3. Не используйте заголовки в блоках с деталями. После описания допускаются дополнительные абзацы, списки или таблицы, но никаких заголовков до первого тега H2.
  4. Группируйте ссылки по разделам H2. Называйте разделы так, как их ищет языковая модель: Документация, Руководства, API, Блог. В этом формате используются только H1 и H2.
  5. Оформляйте элементы списка файлов строго по шаблону. `- [Название страницы](https://example.com/page): короткая заметка`. Используйте абсолютные URL-адреса, чтобы модель могла распознать их без базового URL.
  6. Размещайте раздел «Опционально» в самом конце. Раздел с точным названием Optional можно пропустить, если требуется сократить контекст. Оставьте его для второстепенных страниц и держите в самом конце.

Шаблон спецификации

Канонический пример, опубликованный на llmstxt.org — скопируйте его и укажите свои данные.

# 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 yourdomain.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.

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