Stable foundations
robots, sitemap, crawler root access, and verified Markdown negotiation contribute to the core score.
Agentic Web Diagnostic Tool
Agent Readiness Auditor: Can AI Agents Discover, Read, and Call Your Site?
Scan a public URL for stable HTTP and crawler foundations first, then inspect llms.txt, MCP, WebMCP and other newer capabilities with explicit maturity and confidence labels. Every result includes evidence; the score is not presented as an official certification.
Public URL scanSSRF protectionInspectable HTTP evidenceStable vs experimental separationNo loginBilingual tool
Tool
Scoring Boundary
Facts first, score second
Emerging capabilities
llms.txt, HTTP discovery, MCP and API catalogs are reported without pretending that every site must expose them.
Experimental signals
WebMCP and Content Signals are informational, with explicit confidence labels and runtime limitations.
FAQ
Frequently asked questions
Is the Agent Readiness Score an official certification?
No. It is an XBSTACK engineering assessment that summarizes verifiable HTTP, robots, Markdown and capability-discovery evidence. It is not a Google, OpenAI, Anthropic, Cloudflare, MCP, or browser certification.
Does a high score guarantee Google or ChatGPT traffic?
No. Readiness measures whether a site is easier for machines to discover, read or call. It does not predict search ranking, AI citations or recommendations. Actual visibility must be measured separately.
Does the scanner need a token, cookie or API key?
No. The public scanner accepts only a URL and requests public HTTP/HTTPS resources. Do not put usernames, passwords, tokens, cookies or private credentials in the target URL.
Why are llms.txt, WebMCP and MCP not always scored as failures when missing?
These capabilities have different maturity levels and are not required for every website. Stable foundations are scored separately from emerging and experimental capabilities.
