Discovery paths
Crawl policy, sitemaps, public docs, ARD draft linkage, and well-known resources.
Make your business discoverable to AI agents.
Can AI agents find your business?
Scan how AI agents can discover and understand your company's public services, APIs, tools, and machine-readable capabilities.
PUBLIC SIGNAL ANALYSIS● EVIDENCE-BASED
?AGENT VISIBILITY SCORE
DiscoverySCAN
MetadataVERIFY
ClarityEXPLAIN
TrustEVIDENCE
What the scan checks
Public signals, read as a system.
A missing optional standard is not a verdict. The scan combines deterministic validation, profile-aware scoring, and bounded semantic evaluation.
Machine metadata
OpenAPI, A2A Agent Cards, structured MCP evidence, and public plugin packages.
Capability clarity
Whether public language clearly describes concrete actions, objects, examples, and limits.
Interoperability
Schemas, operation identity, authentication guidance, versioning, and invocation clarity.
Trust signals
HTTPS, identity consistency, security documentation, and exposed-secret detection.
AI understanding
A bounded semantic evaluator checks whether evidence supports the business and its capabilities.
How to read the score
90+ means agent-native, not merely well documented.
Agent Visibility Score is a 100-point public-evidence score. 90–100 is reserved for comprehensive structured discovery, including emerging agent-discovery standards such as ARD 0.9 draft. A strong OpenAPI and A2A site can sit in the 80s without that being a scanner error.
Comprehensive structured discovery, including emerging standards such as ARD 0.9 draft.
Clear public agent/API evidence, with remaining gaps in discovery, metadata, or trust.
A usable public signal, but important machine-readable surfaces are missing or incomplete.
Little evidence that agents can discover or invoke this hostname from public pages.