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