# Vitiv (vitiv.ai): agent-readiness 87/100, grade B > Rank 33 of 3060 on Qomvia (rubric v2.3.0). Last scanned 2026-11-03T04:23:00.827Z. Page: https://qomvia.com/site/vitiv-ai JSON: https://qomvia.com/api/score/vitiv-ai ## Summary { "known": false, "confidence": "low", "summary": "I do not possess specific prior knowledge about vitiv.ai from my training data. Therefore, I cannot describe what this site is or what it does.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific products and services offered", "Target customer segments and industries", "Company history and market presence", "Unique selling propositions", "Pricing structures" ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 25/26 - Discovery surface: 15/20 - Identity & policy: 5/12 - Agent-facing performance: 8/8 - Agent protocols: 10/10 Failing checks: - [blocker] No API or feed to read - [improvement] No stated policy for automated access - [improvement] No machine-readable contact - [polish] Language and market are declared ## Add-on packs - E-commerce & product feeds: 15/100 (not part of the public score) ## AI mentions and rivals Named in 1 AI assistant answers. ## FAQ Q: Is Vitiv readable by AI agents? A: Vitiv (vitiv.ai) scores 87 out of 100 for agent readiness, grade B, measured today, on 03.11.2026. 1 of 3 agent classes we test can use the site, and 1 check currently block agents outright. Q: What stops agents from using vitiv.ai? A: The heaviest problems are: No API or feed to read; No stated policy for automated access; No machine-readable contact; Language and market are declared. Each one is scored from a public HTTP response, and the fix for each is listed in the signed-in report. Q: How is the Vitiv agent-readiness score calculated? A: Qomvia fetches public pages of vitiv.ai as an AI agent would and runs the core checks every site gets across 6 groups: Machine access, Content legibility, Discovery surface, Identity & policy, Agent-facing performance, Agent protocols. Checks are weighted by how much an agent loses when they fail, and the score is expressed out of 100. E-commerce & product feeds checks are scored separately (15/100) and do not affect the public score or rank. Q: How often is this score updated? A: Public scores are re-checked when the site is re-scanned; tracked domains are re-scanned weekly and their owners are alerted when a check regresses. This page shows the scan from today, on 03.11.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/