# Levelb (levelb.ch): agent-readiness 53/100, grade D > Rank 630 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-27T18:00:15.882Z. Page: https://qomvia.com/site/levelb-ch JSON: https://qomvia.com/api/score/levelb-ch ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific pre-existing knowledge about the website levelb.ch in my training data. Therefore, I cannot provide a summary based on my own knowledge.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "What services levelb.ch specifically provides beyond general branding and marketing.", "The target audience or typical client size for levelb.ch.", "The operational geography or specific regions levelb.ch serves.", "Any notable achievements, awards, or specific expertise of levelb.ch.", "The size, history, or leadership of the company behind levelb.ch." ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 21/26 - Discovery surface: 5/20 - Identity & policy: 0/12 - Agent-facing performance: 3/8 - Agent protocols: 0/10 Failing checks: - [blocker] No llms.txt - [blocker] The site does not say who it is - [blocker] No API or feed to read - [blocker] Server responds too slowly for agents - [blocker] No MCP endpoint to call ## FAQ Q: Is Levelb readable by AI agents? A: Levelb (levelb.ch) scores 53 out of 100 for agent readiness, grade D, measured 3 days ago, on 27.09.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright. Q: What stops agents from using levelb.ch? A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; Server responds too slowly for agents; 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 Levelb agent-readiness score calculated? A: Qomvia fetches public pages of levelb.ch 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 3 days ago, on 27.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard - Score another site: https://qomvia.com/