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Modern Web Standards Toolkit

LLMs.txt Tools

Configure LLMs.txt Document

v1.0 Standard
llms.txt
Client-Side · Zero Tracking

Modern Web Standards Toolkit

Free, static-first developer and SEO utilities. Zero API dependency, lightning-fast execution, and privacy-focused client-side processing.

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File Format

llms.txt

MARKDOWN

# Your Site Name

> Brief description of your platform

## Documentation

- [Getting Started](https://site.com/docs): Setup guide

- [API Reference](https://site.com/api): Full API docs

## Optional

- [Full Export](https://site.com/llms-full.txt) [full]

Host at /llms.txt

Learn more
✓ AI Search Ready✓ ChatGPT Compatible✓ Claude Compatible✓ Perplexity Ready✓ Open Standard

FAQ

Frequently Asked Questions

1What is llms.txt?

The llms.txt file is a plain-text, Markdown-formatted roadmap hosted at the root directory of a website. It is designed to help AI models, Large Language Models, and crawlers quickly navigate and understand a site's primary layout, core information, and relevant documentation.

2How does llms.txt differ from robots.txt?

While robots.txt acts as an access control list telling crawlers which pages they are allowed or forbidden to visit, llms.txt is a discovery roadmap. It actively guides AI systems to the most valuable information and documentation pages, rather than blocking them.

3Where should I host my llms.txt file?

You should place it in your website's root directory so that it is publicly accessible at https://yourdomain.com/llms.txt, making it instantly discoverable for indexing web crawlers.

4What is the difference between llms.txt and llms-full.txt?

The main llms.txt file acts as a curated index or table of contents pointing to high-value pages. The optional companion llms-full.txt file contains the complete raw text content of your documentation in a single unified markdown export.

5Do major AI search engines read llms.txt?

Yes. Major AI models and search systems (such as OpenAI, Anthropic, and other developer crawl agents) increasingly read the llms.txt standard to locate high-quality context and reference materials for indexing.