# Swisscells (swisscells.ch): agent-readiness 14/100, grade F > Rank 984 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T03:40:16.028Z. Page: https://qomvia.com/site/swisscells-ch JSON: https://qomvia.com/api/score/swisscells-ch ## Summary { "known": false, "confidence": "low", "summary": "I do not have specific information about swisscells.ch in my knowledge base. Therefore, I cannot provide details on what this site is or what it does.", "offerings": [], "audience": null, "geography": null, "strengths": [], "unknowns": [ "The specific services or products offered by swisscells.ch", "Its target audience and operational geography", "Its market position or unique selling propositions", "Any notable features or reputation of the website", "Its business model or company structure" ], "alternatives": [], "business": "I do not have information on what business swisscells.ch conducts.", "competitors": [] } ## Score by group - Machine access: 9/24 - Content legibility: 0/26 - Discovery surface: 0/20 - Identity & policy: 0/12 - Agent-facing performance: 5/8 - 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 ## FAQ Q: Is Swisscells readable by AI agents? A: Swisscells (swisscells.ch) scores 14 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 10 checks currently block agents outright. Q: What stops agents from using swisscells.ch? 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 Swisscells agent-readiness score calculated? A: Qomvia fetches public pages of swisscells.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/