Seo llms txt

llms.txt — Generate, Validate & Audit

<!-- Updated: 2026-06-10 -->

Analyze, generate, or validate llms.txt files per the llms.txt specification (proposed by Jeremy Howard / Answer.AI). The llms.txt standard provides a Markdown file at /llms.txt that helps LLMs understand a website's content structure — similar to how robots.txt guides traditional crawlers.

Adoption: Adopted by thousands of sites including Anthropic, Cloudflare, Docker, Vercel, Stripe, FastHTML, Cursor, Hugging Face, and many more.

Lighthouse "Agentic Browsing" audit

Chrome Lighthouse now includes an Agentic Browsing audit category with a dedicated llms.txt check. Lighthouse flags a page if a server error occurs when fetching /llms.txt; if the file is simply absent (404), the audit is marked Not Applicable since the file is optional. Users can validate their llms.txt presence by running Lighthouse. Reference: https://developer.chrome.com/docs/lighthouse/agentic-browsing/llms-txt

Inputs

Three modes, auto-detected from the user's input:

Input Pattern	Mode	Example
/seo llms-txt <url>	Audit	/seo llms-txt example.com
/seo llms-txt generate <url>	Generate	/seo llms-txt generate example.com
/seo llms-txt validate <url-or-path>	Validate	/seo llms-txt validate /path/to/llms.txt

• If user provides a URL without sub-command → Audit mode (fetch and check existing file)
• If user says "generate" → Generate mode (crawl site, produce llms.txt)
• If user says "validate" → Validate mode (parse and check against spec)

llms.txt Spec Reference

@skills/seo/references/llms-txt-spec.md

Quick Spec Summary

The llms.txt file must be valid Markdown with this structure:

1. H1 heading (required) — Project/site name
2. Blockquote (optional) — Short site summary
3. H2 sections — Categorized link lists with descriptions
4. Link format: - [Name](url): Description (colon + space after URL)
5. ## Optional section — Links useful but not essential for understanding
6. Companion files (optional):
   • llms-full.txt — Comprehensive version with full content
   • Individual .md page mirrors for key pages

Execution: Audit Mode

When user provides a URL (no sub-command):

1. Fetch llms.txt: Use WebFetch to retrieve <url>/llms.txt
2. Run 8-point check:

#	Check	Pass Criteria
1	File exists	HTTP 200 at /llms.txt
2	Valid Markdown	Parseable as Markdown, no broken syntax
3	Has H1	Exactly one # heading
4	Has blockquote summary	> line present after H1 (recommended)
5	Has H2 sections	At least one ## section with links
6	Link format correct	Links follow - [Name](url): description pattern
7	Has ## Optional	Contains an Optional section (recommended)
8	Companion llms-full.txt	llms-full.txt exists at same path (recommended)

3. Link spot-check: WebFetch up to 5 linked URLs to verify they resolve (HTTP 200)
4. Generate score card and recommendations

Execution: Generate Mode

When user says "generate":

1. Crawl site structure:

   • WebFetch the homepage — extract title, meta description, nav links
   • WebFetch /sitemap.xml (or /sitemap_index.xml) — extract all URLs
   • If no sitemap, follow nav links from homepage (up to 50 pages)

2. Categorize pages into sections based on URL patterns and content:

   • ## Docs — /docs/, /documentation/, /guides/, /reference/
   • ## Blog — /blog/, /articles/, /posts/, /news/
   • ## API — /api/, /developers/, /reference/
   • ## Products — /products/, /features/, /pricing/, /solutions/
   • ## About — /about/, /team/, /company/, /contact/
   • ## Legal — /privacy/, /terms/, /legal/
   • ## Optional — Catch-all for remaining useful pages

3. Extract metadata per page:

   • Title (from <title> or <h1>)
   • Description (from meta[name=description] or first paragraph)
   • Truncate description to ~100 characters

4. Generate llms.txt:

   # Site Name
   
   > Brief site description from meta or homepage hero text.
   
   ## Docs
   
   - [Getting Started](https://example.com/docs/start): Introduction and setup guide
   - [API Reference](https://example.com/docs/api): Complete API documentation
   
   ## Blog
   
   - [Latest Post](https://example.com/blog/post): Description of the post
   
   ## Optional
   
   - [About](https://example.com/about): Company background
   - [Contact](https://example.com/contact): Get in touch
   

5. Generate llms-full.txt skeleton (optional — note to user):

   Suggest that llms-full.txt should contain the full Markdown content
   of all key pages concatenated. Provide the structure but note that
   generating full content requires crawling every page.
   

6. Output the generated file — display it in a code block and offer to write to disk

Execution: Validate Mode

When user says "validate":

1. Load the file:

   • If URL → WebFetch <url>/llms.txt
   • If local path → Read the file

2. Run spec compliance checks:

#	Rule	Severity	Check
1	Has exactly one H1	FAIL	Count # lines (not ##)
2	H1 is first heading	FAIL	First line starting with # must be H1
3	Valid Markdown	FAIL	No broken link syntax, unclosed brackets
4	Links use correct format	WARN	- [Name](url): description pattern
5	Has at least one H2 section	FAIL	At least one ## heading
6	No empty sections	WARN	Every H2 should have at least one link
7	Blockquote present	INFO	> after H1 is recommended
8	## Optional section exists	INFO	Recommended by spec
9	No deep heading levels	WARN	Only H1 and H2 allowed (no H3+)
10	Descriptions present	WARN	Links should have : description after URL

3. Output pass/fail per rule with line numbers for failures

Output Format

Audit Mode Output

## llms.txt Audit: [domain]

**Score: X/8 checks passed**

| # | Check | Result | Details |
|---|---|---|---|
| 1 | File exists | PASS/FAIL | [status code or error] |
| 2 | Valid Markdown | PASS/FAIL | [issue if any] |
| ... | ... | ... | ... |

### Link Spot-Check
| URL | Status |
|---|---|
| [url] | 200 OK / 404 / timeout |

### Recommendations
- [Prioritized list of improvements]

### What is llms.txt?
> llms.txt is a proposed standard (llmstxt.org) that provides LLMs with
> a structured Markdown overview of your site. Thousands of sites have adopted it.
> While AI platform adoption of the standard is still emerging, early
> adoption positions your site for AI search visibility — similar to how
> early schema.org adoption paid off for rich snippets.

Generate Mode Output

## Generated llms.txt for [domain]

[The generated llms.txt content in a code block]

### Generation Notes
- Pages crawled: [count]
- Sections created: [list]
- Pages excluded: [count and reason]

### Next Steps
1. Review and edit the generated file
2. Upload to your site root as `/llms.txt`
3. Consider creating `llms-full.txt` with full page content
4. Add `<link rel="help" href="/llms.txt">` to your HTML head (optional)

Validate Mode Output

## llms.txt Validation: [source]

**Result: X/10 rules passed** | Y warnings | Z info

| # | Rule | Result | Line | Details |
|---|---|---|---|---|
| 1 | Has H1 | PASS/FAIL | [line#] | [details] |
| ... | ... | ... | ... | ... |

### Issues to Fix
- [FAIL items with specific fix instructions]

### Recommendations
- [WARN items with suggestions]