The Agentic Visibility Standard
Measure whether AI agents see your website — across structured data, readability, accessibility, agentic SEO and protocol discovery.
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Five dimensions, one Agent-Readiness Score
Each dimension targets one barrier between your site and an AI agent's recommendation.
Structured Data
JSON-LD, Open Graph, Microdata. The signals AI agents parse first.
Example: a Product schema with price, currency and availability lets ChatGPT recommend your offer with confidence.
LLM Readability
Can a language model summarize your value proposition in one sentence?
Example: a clear H1 plus a 2-line lead beats a hero with three rotating animations.
Technical Accessibility
TLS, response time, robots.txt, sitemap, no aggressive bot blocking.
Example: a 5-second TTFB or a Cloudflare challenge page is invisible to most agents.
Agentic SEO
Domain authority, citation frequency — why an agent would pick you over a competitor.
Example: cited in a Wikipedia infobox or referenced by a competitor's blog → recommendation likelihood increases.
Protocol Discovery
Well-known endpoints (MCP, OAuth, A2A, API Catalog) — the agent-readiness checklist.
Example: a /.well-known/agent-card.json lets a Google A2A agent talk to yours without HTML scraping.
Why Visibility ≠ Trust
Visibility tells you whether agents see you. Trust tells you whether they should believe you. Both matter — but they answer different questions, and our two suites are scored independently.
Explore the Trust SuiteFrequently Asked Questions
Being visible to AI agents is not a single problem. We benchmarked 1,000+ sites — fixing only structured data without fixing accessibility or protocol discovery typically caps the score around 65/100.