LLM.txt & AI Crawler Setup Guide for Crypto projects

Create a text file at /ai.txt detailing your project's core mission, tokenomics, and governance structure.

Include markdown-style links to your most critical whitepaper sections, smart contract audits, and developer documentation.

Add a 'FAQ' section for common AI queries regarding token utility, staking mechanisms, and network security.

Implement `User-agent: GPTBot` `Allow: /docs/ Allow: /ecosystem/ Allow: /tokenomics/ Disallow: /auth/ Disallow: /private-sales/

Verify crawler permissions and scope using AI provider's respective webmaster tools or testing environments.

Monitor crawl frequency and data points accessed in your server logs to ensure AI bots are indexing authoritative project information, not ephemeral UI elements.

Wrap core protocol descriptions and whitepaper excerpts within `<article>` tags to signal primary content.

Use `<section>` with descriptive `aria-label` attributes for distinct components like 'Token Distribution', 'Roadmap Milestones', or 'Staking Rewards'.

Ensure all data presented, especially token metrics and transaction summaries, uses proper `<thead>`, `<tbody>`, and `<th>` tags for structured data extraction.

Maintain logical topical containers, ideally under 700 tokens, focusing on single concepts like 'Validator Node Requirements' or 'Liquidity Mining Program Details'.

Avoid 'floating' context; explicitly state the primary subject (e.g., 'The XYZ Token') in section summaries and introductions.

Eliminate ambiguous pronouns ('it', 'they') and replace them with specific entities like 'the consensus mechanism', 'the governance token', or 'the staking contract'.