# Vivander (vivander.com): agent-readiness 17/100, grade F > Rank 982 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T17:40:36.336Z. Page: https://qomvia.com/site/vivander-com JSON: https://qomvia.com/api/score/vivander-com ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific information about vivander.com in my knowledge base to provide a summary of its operations or purpose.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "The specific products or services offered by vivander.com", "Their primary target audience or customer base", "The geographic regions in which they operate", "Their unique selling propositions or market strengths", "Their business model and revenue streams" ], "alternatives": [], "business": "I do not have information about what vivander.com does, for whom, or where.", "competitors": [] } ## Score by group - Machine access: 9/24 - Content legibility: 0/26 - Discovery surface: 0/20 - Identity & policy: 0/12 - Agent-facing performance: 8/8 - Agent protocols: 0/10 Failing checks: - [blocker] Page metadata is incomplete - [blocker] No discoverable sitemap - [blocker] No llms.txt - [blocker] The site does not say who it is - [blocker] Content is buried in boilerplate ## AI mentions and rivals Named in 1 AI assistant answers. ## FAQ Q: Is Vivander readable by AI agents? A: Vivander (vivander.com) scores 17 out of 100 for agent readiness, grade F, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 10 checks currently block agents outright. Q: What stops agents from using vivander.com? A: The heaviest problems are: Page metadata is incomplete; No discoverable sitemap; No llms.txt; The site does not say who it is; Content is buried in boilerplate. 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 Vivander agent-readiness score calculated? A: Qomvia fetches public pages of vivander.com 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. 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 2 days ago, on 08.10.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/