# Bernemann-roehl (bernemann-roehl.de): agent-readiness 43/100, grade D > Rank 852 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-21T12:00:34.989Z. Page: https://qomvia.com/site/bernemann-roehl-de JSON: https://qomvia.com/api/score/bernemann-roehl-de ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific pre-trained knowledge about bernemann-roehl.de.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "Specific business model and services offered", "Target customer base", "Geographic operating area", "Unique selling propositions", "Market position and reputation" ], "alternatives": [], "business": "unknown", "competitors": [] } ## Score by group - Machine access: 16/24 - Content legibility: 12/26 - Discovery surface: 12/20 - Identity & policy: 0/12 - Agent-facing performance: 3/8 - Agent protocols: 0/10 Failing checks: - [blocker] The site does not say who it is - [blocker] Content is buried in boilerplate - [blocker] Server responds too slowly for agents - [blocker] Pages are empty without JavaScript - [blocker] No MCP endpoint to call ## AI mentions and rivals Named in 1 AI assistant answers. ## FAQ Q: Is Bernemann-roehl readable by AI agents? A: Bernemann-roehl (bernemann-roehl.de) scores 43 out of 100 for agent readiness, grade D, measured 2 days ago, on 21.10.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright. Q: What stops agents from using bernemann-roehl.de? A: The heaviest problems are: The site does not say who it is; Content is buried in boilerplate; Server responds too slowly for agents; Pages are empty without JavaScript; No MCP endpoint to call. 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 Bernemann-roehl agent-readiness score calculated? A: Qomvia fetches public pages of bernemann-roehl.de 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 21.10.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/