# Avantgrade (avantgrade.ch): agent-readiness 18/100, grade F

> Rank 978 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T10:00:44.149Z. Page: https://qomvia.com/site/avantgrade-ch  JSON: https://qomvia.com/api/score/avantgrade-ch

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about avantgrade.ch. My knowledge base does not contain details about what this site is or what it does.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific business model and services offered by avantgrade.ch",
    "Its primary target audience and geographical focus",
    "Its unique selling propositions or market position",
    "Its main competitors and alternative services",
    "Any recent news or updates regarding its operations"
  ],
  "alternatives": [],
  "business": "I do not have specific information regarding what avantgrade.ch does, for whom, or where.",
  "competitors": []
}

## Score by group
- Machine access: 9/24
- Content legibility: 0/26
- Discovery surface: 0/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 1/10
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 Avantgrade readable by AI agents?
A: Avantgrade (avantgrade.ch) scores 18 out of 100 for agent readiness, grade F, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 10 checks currently block agents outright.

Q: What stops agents from using avantgrade.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 Avantgrade agent-readiness score calculated?
A: Qomvia fetches public pages of avantgrade.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 today, on 30.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard
- Score another site: https://qomvia.com/