# Jeans (jeans.ch): agent-readiness 24/100, grade F > Rank 920 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T02:00:16.855Z. Page: https://qomvia.com/site/jeans-ch JSON: https://qomvia.com/api/score/jeans-ch ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific, pre-trained knowledge about the website jeans.ch as a distinct entity in my knowledge base. Therefore, I cannot provide a summary of what this site is or what it does from my own information.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "The exact business model and product offerings of jeans.ch.", "Its specific target audience and geographic market.", "Any unique selling propositions or competitive advantages.", "Its operational history or current market position.", "Any publicly known reputation or customer feedback." ], "alternatives": [], "business": null, "competitors": [] } ## Score by group - Machine access: 9/24 - Content legibility: 5/26 - Discovery surface: 0/20 - Identity & policy: 2/12 - Agent-facing performance: 8/8 - Agent protocols: 0/10 Failing checks: - [blocker] No discoverable sitemap - [blocker] No llms.txt - [blocker] The site does not say who it is - [blocker] Content is buried in boilerplate - [blocker] Bot protection blocks declared agents ## FAQ Q: Is Jeans readable by AI agents? A: Jeans (jeans.ch) scores 24 out of 100 for agent readiness, grade F, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 9 checks currently block agents outright. Q: What stops agents from using jeans.ch? A: The heaviest problems are: No discoverable sitemap; No llms.txt; The site does not say who it is; Content is buried in boilerplate; Bot protection blocks declared agents. 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 Jeans agent-readiness score calculated? A: Qomvia fetches public pages of jeans.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 - Score another site: https://qomvia.com/