Scan your website to see if it's optimized for AI agents. We check five pillars — Discoverability, Content Accessibility, Bot Access Control, Protocol Discovery, and Commerce — across 19 signals.
We analyze your website across five essential categories to ensure complete autonomous agent readiness:
Scans for standard discovery markers such as robots.txt, sitemaps, and machine-readable headers.
Evaluates formatting compatibility, custom llms.txt files, and support for Markdown negotiation .
Checks agent-specific blocklists, Content Signals, and secure client validations like Web Bot Auth.
Validates support for MCP Server Cards, custom Agent Skills, WebMCP, and secure OAuth Resources.
Audits readiness for agent-to-agent transactions using standards like 402 payment requirements, Copilot monetization, and microformats like UCP or ACP.
You don't need a complex backend system to configure basic AI agent compatibility. Start with these three high-impact steps:
Allow user-agents like GPTBot or ClaudeBot, and explicitly specify your Sitemap URL.
Publish a concise llms.txt Markdown guide in your root directory outlining your core routes, APIs, and site purpose.
Add Link headers in HTTP responses pointing to your OpenAPI schema, MCP card, or API documentation path.
Dive deeper into the emerging specifications, frameworks, and developer standards for agent integration:
Full reference guides for configuring schemas, deploying serverless MCP instances, and managing secure transaction interfaces.
Anthropic's open-standard specifications to easily connect AI LLMs with local datasets, specialized APIs, and secure engines.
The community specification proposal for structured Markdown files that offer dense, readable context to Large Language Models.
Take control of how AI agents interact with your website. Use our suite of free tools to ensure your content is properly crawled, understood, and cited.