llms.txt Starter Template
This is a ready-to-use llms.txt starter template. Copy, customize, and deploy to help AI systems understand your website.
This llms.txt starter template provides a copy-ready format with site description, key pages, and structured sections that help AI systems understand your website's content and purpose.
Basic Template
# [Your Site Name]
> [One-sentence description of your site's purpose]
## About
[2-3 sentences describing what your site offers, who it's for, and what makes it authoritative]
## Key Pages
- [Page Title](https://yoursite.com/page-url): Brief description
- [Page Title](https://yoursite.com/page-url): Brief description
- [Page Title](https://yoursite.com/page-url): Brief description
## Topics Covered
- Topic 1
- Topic 2
- Topic 3
## Contact
- Website: https://yoursite.com
- Email: contact@yoursite.comAnnotated Template
# Geodocs.dev
# ↑ Your site name — matches your brand exactly
> Geodocs.dev is the canonical knowledge system for GEO and AEO.
# ↑ One sentence. What is your site? Be specific.
## About
Geodocs.dev provides comprehensive documentation for Generative
Engine Optimization (GEO) and Answer Engine Optimization (AEO).
It serves SEO specialists, developers, and content strategists
who need to optimize content for AI search engines.
# ↑ 2-3 sentences. Audience + value + authority.
## Key Pages
- [What Is GEO?](https://geodocs.dev/geo/what-is-geo): Canonical definition of Generative Engine Optimization
- [GEO vs SEO](https://geodocs.dev/geo/geo-vs-seo): Comparison of traditional and AI search optimization
- [llms.txt Reference](https://geodocs.dev/technical/llms-txt): Complete specification reference
# ↑ Your most important pages. Quality over quantity.
# ↑ Format: [Title](URL): Description
## Documentation
- [How to Create llms.txt](https://geodocs.dev/technical/how-to-create-llms-txt): Step-by-step tutorial
- [Structured Data for AI](https://geodocs.dev/technical/structured-data-for-ai-search): Schema implementation guide
# ↑ Section headers help AI navigate your content
## Topics Covered
- Generative Engine Optimization (GEO)
- Answer Engine Optimization (AEO)
- AI Search Technical Standards
- Content Strategy for AI Visibility
# ↑ High-level topic list for AI categorizationTemplates by Site Type
SaaS Product
# [Product Name]
> [Product] is a [category] that [primary function].
## Product
- [Features](url): Core capabilities
- [Pricing](url): Plans and pricing
- [Integrations](url): Supported platforms
## Documentation
- [Getting Started](url): Quick start guide
- [API Reference](url): Developer docs
## Resources
- [Blog](url): Industry insights
- [Case Studies](url): Customer success storiesE-Commerce
# [Store Name]
> [Store] sells [products] for [audience].
## Categories
- [Category 1](url): Description
- [Category 2](url): Description
## Shopping Help
- [Shipping Info](url): Delivery options
- [Returns](url): Return policy
- [Size Guide](url): Sizing informationBlog/Publisher
# [Publication Name]
> [Publication] covers [topics] for [audience].
## Featured Content
- [Article 1](url): Description
- [Article 2](url): Description
## Topics
- Topic 1
- Topic 2
## About
- [Editorial Policy](url): Standards and practices
- [Team](url): Writers and editorsDeployment
- Save as
llms.txt(plain text, UTF-8) - Upload to your site root:
https://yoursite.com/llms.txt - Verify: visit
https://yoursite.com/llms.txtin browser - Update when you add significant new content
Related Articles
- llms.txt Reference — Full specification
- How to Create llms.txt — Step-by-step guide
- ai.txt Reference — Companion file specification
Related Articles
ai.txt Reference
ai.txt is a proposed standard file that defines access policies and attribution requirements specifically for AI agents, chatbots, and LLM-powered systems.
How to Create llms.txt
Step-by-step tutorial for creating and deploying an llms.txt file to make your site's content discoverable by AI systems and LLMs.
llms.txt Reference
llms.txt is a proposed standard file that provides a machine-readable index of site content for AI crawlers. It tells LLMs what a site contains and how to navigate it.