Can crawlers enter?
HTTPS, homepage reachability, robots.txt, named AI user agents and Content Signals.
H/M · AGENT SURFACE SCANNER
Separate search discovery, user-directed retrieval and model training rules, then inspect the public interfaces an agent can observe.
agents.hogarmas.net/mcp/agent-surface
01 / LIVE AUDIT
Enter a public domain to begin.
The scanner requests only the homepage and common public machine artifacts. Response bodies are analyzed in memory and are never returned or stored.
AI BUYER JOURNEY / OBSERVED EVIDENCE
Five stages map only public evidence observed in this scan. They do not record a real agent session, predict conversion or test checkout.
ROBOTS.TXT / 9 AGENTS
Observed robots.txt rules only. This does not prove WAF access, crawler identity, compliance, indexing or citation.
LOCAL POLICY COMPOSER
Choose the policy that matches your intent. Generation stays in this browser and does not modify your website.
Merge this with existing rules. robots.txt expresses preferences; WAF/CDN enforcement is separate.
02 / METHOD
Each result names the requested public artifact, what was observed and which specification or convention it relates to. Missing evidence is not converted into a fake probability.
HTTPS, homepage reachability, robots.txt, named AI user agents and Content Signals.
Sitemap, llms.txt, metadata, JSON-LD and optional Markdown negotiation.
OpenAPI, API Catalog, MCP discovery, A2A Agent Card and payment discovery.
security.txt, policy links, cache validators and evidence digests in the paid package.
03 / SOURCES
04 / LIMITS
It does not prove that ChatGPT, Claude, Gemini or another system indexed the site.
It does not estimate citation, ranking or traffic probability.
A self-declared MCP or A2A identity is not cryptographic identity proof.
It records one moment in time; CDN, WAF and origin behavior can change.
05 / NEXT READING
Use the free guides below to make an AI-readable site easier to inspect, govern and maintain. They explain the evidence without promising traffic or citation.
Separate visible discovery, retrieval and training controls before you publish a policy.
Compare intent with the public rules that agents can actually observe today.
Move from one scanner to practical MCP, A2A and verifiable-signal guides.
Understand how evidence stays separate from confidence, rankings and legal conclusions.