# Moebel1 (moebel1.ch): agent-readiness 54/100, grade D > Rank 601 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T06:30:15.872Z. Page: https://qomvia.com/site/moebel1-ch JSON: https://qomvia.com/api/score/moebel1-ch ## Summary Category: Home and furniture { "known": false, "confidence": null, "summary": "I do not have specific pre-existing knowledge about the website moebel1.ch beyond what can be inferred from its name and domain.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "specific product categories and brands offered", "pricing models and payment options", "customer service reputation and return policies", "market position, share, and unique selling propositions", "operational details like shipping logistics and delivery times" ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 24/24 - Content legibility: 21/26 - Discovery surface: 3/20 - Identity & policy: 0/12 - Agent-facing performance: 6/8 - 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] No MCP endpoint to call - [improvement] No stated policy for automated access ## FAQ Q: Is Moebel1 readable by AI agents? A: Moebel1 (moebel1.ch) scores 54 out of 100 for agent readiness, grade D, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright. Q: What stops agents from using moebel1.ch? A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; No MCP endpoint to call; No stated policy for automated access. 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 Moebel1 agent-readiness score calculated? A: Qomvia fetches public pages of moebel1.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 2 days ago, on 28.09.2026. ## Related - Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/home-living - Score another site: https://qomvia.com/