Is your website ready for AI agents?

It is a free scan that shows whether AI agents can discover and use your website. We probe your domain for the standards agents rely on, like llms.txt, MCP server cards, A2A agent cards, OAuth discovery, and Content Signals, and we check whether the major AI crawlers are allowed to read your pages.

We evaluate your robots.txt against nine crawlers: GPTBot, OAI-SearchBot and ChatGPT-User from OpenAI, ClaudeBot and Claude-SearchBot from Anthropic, PerplexityBot and Perplexity-User from Perplexity, Google-Extended from Google, and Meta-ExternalAgent from Meta.

llms.txt is a plain-text file at the root of your site that tells AI engines what your site is and where the important content lives. It is the emerging standard for making a site legible to language models, similar to what robots.txt is for crawlers.

They are small JSON files under /.well-known that announce your agent-facing endpoints. An MCP server card tells agents where your Model Context Protocol server lives and what it can do. An A2A agent card describes an agent your site exposes, including its skills and capabilities. Both let agents integrate with you without scraping.

It depends on the check. A blocked crawler or a missing robots.txt directly limits whether AI engines can read and cite your site. Missing protocol files like an MCP card do not hurt today; they are emerging standards that make you easier to integrate with as agents become more common.