Most websites were built for human visitors and search engine crawlers. But a new kind of visitor is growing fast — AI agents. These are automated systems that browse, read and interact with websites on behalf of users. If your site is not set up to welcome them, you are invisible to the next generation of web infrastructure.
AI Agent Readiness means your website publishes the right signals and files that AI agents, crawlers and automated tools need to discover, understand and interact with your site. Think of it like having a proper sign on your shop door — without it, automated systems pass you by.
AI agents are increasingly being used to find information, book services, compare products and complete tasks online. Sites that publish discovery files get cited more often in AI-generated responses and integrated into AI workflows. Sites that don't are effectively invisible.
llms.txt — a plain text file at the root of your site that tells AI models what your site is about, what pages are important, and how you want your content used. You also need an API catalog, MCP server card and A2A agent card in your /.well-known/ directory.llms.md file gives agents a markdown version of your site summary. Setting up content negotiation means your server returns markdown automatically when an agent requests it. Adding a Content-Signal directive to your robots.txt declares your AI training preferences.X-XSS-Protection which modern agents flag as a red flag.robots.txt explicitly allows the major AI crawlers: GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot and Google-Extended. Many sites accidentally block these crawlers with overly broad disallow rules.llms.txt — it is a single plain text file you can create in 10 minutes that immediately improves your AI discoverability./llms.txt at your root — see llmstxt.org for the specContent-Signal: ai-train=no, search=yes, ai-input=no to your robots.txt/.well-known/ discovery filesRun a free audit on your domain. See which of the 16 checks you pass and get specific fix instructions for any that fail.
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