# Bfair (bfair.ch): agent-readiness 60/100, grade C

> Rank 398 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T10:30:16.314Z. Page: https://qomvia.com/site/bfair-ch  JSON: https://qomvia.com/api/score/bfair-ch

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about the website bfair.ch. Therefore, I cannot provide details about its purpose, offerings, or operations from my internal data.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The core business model or services provided by bfair.ch",
    "Its target audience or customer base",
    "Its geographic operational areas",
    "Any unique selling propositions or market position",
    "Specific products or services offered"
  ],
  "alternatives": [],
  "business": "I cannot confidently describe what this company does.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 17/26
- Discovery surface: 8/20
- Identity & policy: 5/12
- Agent-facing performance: 5/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No heading hierarchy
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

## Add-on packs
- E-commerce & product feeds: 15/100 (not part of the public score)

## FAQ
Q: Is Bfair readable by AI agents?
A: Bfair (bfair.ch) scores 60 out of 100 for agent readiness, grade C, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using bfair.ch?
A: The heaviest problems are: No llms.txt; No heading hierarchy; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact. 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 Bfair agent-readiness score calculated?
A: Qomvia fetches public pages of bfair.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. E-commerce & product feeds checks are scored separately (15/100) and do not affect the public score or rank.

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/