What AI agents actually look for when they visit a website

Most websites give people a polished interface and leave AI agents piecing together meaning from navigation, scripts, and visual page elements.

An AI-readable website gives agents a cleaner route through the site:

• Canonical URLs and clear headings
• Structured data and clean Markdown
• An llms.txt content map
• An agent.json identity manifest
• SKILL.md instructions for repeatable workflows
• OpenAPI and MCP records for available actions
• Public policies, support routes, proof links, and operator details

These elements help an agent understand the content, confirm its source, cite it accurately, and interact with the available tools.

We published a practical guide explaining the full stack and how each part fits together:

https://headlessdomains.com/blog/what-is-an-ai-readable-website/

Has anyone here tested how well their own site performs when accessed directly by an AI agent?