AI Agent Readiness Audit — llms.txt, AI Crawlers & AI Shopping
Pricing
from $30.00 / 1,000 site auditeds
Check if a website or store is ready for AI assistants and agents: AI crawler access in robots.txt (GPTBot, ClaudeBot, PerplexityBot…), llms.txt, readability without JavaScript, product structured data, price and stock, agentic checkout. Returns a 0–100 score and fix list. $0.03 per site.
Connect the AI Agent Readiness Audit — llms.txt, AI Crawlers & AI Shopping Actor to an AI application through the Apify MCP server. MCP clients with OAuth support sign you in to Apify without an API token.
{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,signalloom/agent-readiness-audit" } }}Add the configuration above to your project's .mcp.json file for Claude Code, then run /mcp in Claude Code to sign in to Apify. It connects to the hosted Apify MCP server with the AI Agent Readiness Audit — llms.txt, AI Crawlers & AI Shopping Actor already loaded. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.
For other MCP clients, get a client-specific configuration with the AI Agent Readiness Audit — llms.txt, AI Crawlers & AI Shopping Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,signalloom/agent-readiness-audit.
You can connect to the Apify MCP server using an MCP client that supports Streamable HTTP.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.