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llms.txt File Builder

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Generate, validate, and optimize llms.txt files for AI crawler accessibility. Creates structured markdown files that help AI platforms (ChatGPT, Perplexity,...

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About This Skill

# llms.txt File Builder

> Methodology by GEOly AI (geoly.ai) — GEO infrastructure for the AI search era.

Generate well-structured `llms.txt` files to help AI platforms understand and cite your content.

Quick Start

Generate an llms.txt file for any website:

```bash python scripts/generate_llms_txt.py <domain> [--output llms.txt] ```

Example: ```bash python scripts/generate_llms_txt.py example.com --output llms.txt ```

What is llms.txt?

  • The llms.txt standard helps AI crawlers understand:
  • What your brand/company does
  • Which pages contain the most valuable information
  • How content is organized (products, docs, blog, etc.)
  • Where to find key facts and data

Full standard details: See references/standard.md

Standard Format

```markdown # [Brand Name]

> [One-sentence brand description]

[2-3 paragraph overview: what you do, who it's for, key differentiators]

Key Pages

  • Page Title: One-line description
  • Page Title: One-line description

Products / Services

  • Product Name: What it does and who it's for

Documentation

  • Doc Title: What this doc explains

Blog / Resources

  • Article Title: Key insight or topic covered

About

  • About Us: Company background and mission
  • Contact: How to reach the team
  • ```

Generation Methods

Method 1: From Sitemap (Automated)

```bash python scripts/generate_llms_txt.py example.com --from-sitemap ```

Automatically fetches sitemap.xml, analyzes each page, and generates descriptions.

Method 2: Interactive (Guided)

```bash python scripts/generate_llms_txt.py example.com --interactive ```

Prompts you for brand info and key URLs, then drafts descriptions.

Method 3: From URL List

```bash python scripts/generate_llms_txt.py example.com --urls urls.txt ```

Where `urls.txt` contains one URL per line.

Validation

Validate an existing llms.txt file:

```bash python scripts/validate_llms_txt.py llms.txt ```

  • Checks for:
  • Proper markdown structure
  • Valid URLs
  • No duplicate entries
  • Optimal link count (15-40 pages)
  • Factual tone (not promotional)

Quality Criteria

| Aspect | Good | Bad | |--------|------|-----| | Brand description | "GEOly AI is a GEO monitoring platform tracking brand visibility across ChatGPT, Perplexity, Gemini." | "We are the best AI SEO tool ever!" | | Page descriptions | "Explains how to set up MCP integration with Claude Desktop" | "Our awesome docs page" | | Link count | 15–40 curated pages | 500+ URLs (sitemap dump) | | Tone | Factual, entity-focused | Promotional, keyword-stuffed | | Structure | Clear sections by content type | Flat list or random order |

Output Formats

  • Markdown (default): Ready-to-deploy llms.txt
  • JSON: Structured data for programmatic use
  • HTML: Styled preview for stakeholder review

Advanced Usage

Custom Sections

```bash python scripts/generate_llms_txt.py example.com \ --sections "Products,API Reference,Case Studies,Changelog" ```

Exclude Patterns

```bash python scripts/generate_llms_txt.py example.com \ --exclude "/admin/,/private/,/draft/" ```

Multi-language Support

```bash python scripts/generate_llms_txt.py example.com \ --language zh-CN \ --output llms-zh.txt ```

Deployment

Once generated, place the file at: ``` https://[your-domain]/llms.txt ```

  • Ensure it:
  • Returns HTTP 200
  • Is accessible without authentication
  • Has `Content-Type: text/plain` or `text/markdown`

See Also

  • Full standard specification: references/standard.md
  • Quality guidelines: references/quality-guide.md
  • Examples gallery: references/examples.md

Use Cases

  • Generate llms.txt files for websites to guide how AI models represent the site
  • Create structured site descriptions optimized for AI model consumption
  • Define how geographic and location-based content should be understood by LLMs
  • Produce machine-readable site metadata for AI-powered search and discovery
  • Manage AI visibility for location-based businesses and services

Pros & Cons

Pros

  • +Proactive approach to controlling how AI models understand and represent your site
  • +Structured format enables consistent AI interpretation of site content
  • +Addresses the emerging need for AI-optimized web presence

Cons

  • -llms.txt is an emerging standard — not all AI models support it yet
  • -Only available on claude-code and openclaw platforms
  • -Effectiveness depends on AI model providers choosing to respect llms.txt directives

FAQ

What does llms.txt File Builder do?
Generate, validate, and optimize llms.txt files for AI crawler accessibility. Creates structured markdown files that help AI platforms (ChatGPT, Perplexity,...
What platforms support llms.txt File Builder?
llms.txt File Builder is available on Claude Code, OpenClaw.
What are the use cases for llms.txt File Builder?
Generate llms.txt files for websites to guide how AI models represent the site. Create structured site descriptions optimized for AI model consumption. Define how geographic and location-based content should be understood by LLMs.

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