Scovant is infrastructure for the agentic web, not another static SEO scanner or checklist.

Free static readiness checkers can only see what a site declares: robots.txt, sitemaps, structured data. Scovant goes three steps further.

Real agent simulations. Real AI agents attempt actual purchases and bookings on your site, so you see what happens, not just what's declared. The agent never enters payment details — it stops at checkout and reports the outcome.

CI regression detection. Every deploy is compared against a baseline, so agent-readiness regressions are caught before agents ever hit them in production. Trigger a run from your pipeline and get a pass/fail verdict plus the list of regressions.

Multi-model testing. One site is tested against ten different LLM agents, because what a premium model handles fine can still trip up a cheaper one.

On top of that: a full-site crawl and score across seven categories rather than a single-page check, a per-page token-cost metric, protocol discovery checks (MCP, structured data, agent-facing endpoints), an agent-readable MCP interface, and an embeddable trust badge backed by a public, documented scoring methodology.

Scoring methodology: https://scovant.com/scoring Documentation: https://scovant.com/docs

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