Lighthouse-style audits for AI-agent readiness, LLM crawlers, MCP clients, and the agentic web
🗼 Agent Lighthouse Lighthouse, but for AI agents. Audit whether ChatGPT, Claude, Perplexity, MCP clients, AI crawlers, and agentic browsers can discover, parse, cite, and act on your website.
Documentation · npm · Share a site score
Run a zero-install scan directly in your terminal. The --view flag opens the standalone HTML report for screenshots, stakeholder review, and pull-request artifacts.
Agent Lighthouse checks 207 rules covering llms.txt, robots.txt crawler policy, Schema.org, OpenAPI discovery, WebMCP action surfaces, AEO/GEO content structure, accessibility, and technical readiness.
Agent Lighthouse evaluates websites across 10 audit categories grouped into 3 readiness pillars:
This repository is organized as a lightweight pnpm monorepo published under the @forkpoint scope:
Package npm Package Description :-------------------- :------------------------------------------------------------------------------------------------------- :-------------------------------------------------------------- packages/cli @forkpoint/agent-lighthouse Main CLI binary (npx @forkpoint/agent-lighthouse ). packages/core @forkpoint/agent-lighthouse-core Core gatherer-audit engine, scoring algorithms, and types. packages/report @forkpoint/agent-lighthouse-report Standalone HTML, Markdown, and unified report view-model. packages/mcp @forkpoint/agent-lighthouse-mcp Model Context Protocol (MCP) server for Claude / Cursor / IDEs.
From the project README.
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Find out whether ChatGPT, Gemini and Perplexity recommend your site - and why they don't. Open-source GEO/AEO auditor + MCP server. No account, no card, your keys.
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