28 automated checks across 4 layers. Get a readiness score, detailed breakdown, and specific fix suggestions in seconds.
We built p0stman.com with the full agentic web stack. Try your own site above.
Can AI agents find your site? robots.txt, llms.txt, sitemap, MCP manifest, AgentCard.
Can they understand it? SSR, structured data, meta tags, answer capsules, headings.
Can they interact? MCP tools, WebMCP, data-mcp-tool attributes, forms.
Can agents talk to yours? A2A endpoint, skills, CORS headers.
28 automated checks across 4 layers: Discovery (robots.txt, llms.txt, sitemap, MCP manifest, AgentCard), Comprehension (SSR, structured data, meta tags, answer capsules), Action (MCP tools, WebMCP, data-mcp-tool attributes), and Agent-to-Agent (A2A endpoint, skills, CORS). Each check returns pass/fail with a specific fix suggestion.
Each check is pass/fail. Checks are grouped into 4 weighted layers: Discovery (30%), Comprehension (25%), Action (25%), Agent-to-Agent (15%), plus 5% for bonus checks like IndexNow and bot tracking. The weighted total gives a score out of 100 and a letter grade from A to F.
Yes, completely free. No signup, no email gate. Enter any URL, get the full report with scores, check details, and fix suggestions in under 20 seconds. You can email the report to yourself or share the results URL.
Layer 1: Discovery — how AI agents find your site. Layer 2: Comprehension — how they understand your content. Layer 3: Action — how they interact with your site programmatically. Layer 4: Agent-to-Agent — how other AI agents communicate with yours. Most sites score well on Comprehension but fail on Discovery and Action.