# 23bis (23bis.ch): agent-readiness 55/100, grade D

> Rank 552 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T07:50:16.953Z. Page: https://qomvia.com/site/23bis-ch  JSON: https://qomvia.com/api/score/23bis-ch

## Summary
Category: Professional services
{
  "known": false,
  "confidence": null,
  "summary": "I do not have specific knowledge about 23bis.ch from my training data. Therefore, I cannot provide details about its operations or market position.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific business activities and services of 23bis.ch",
    "Its primary target audience and customer base",
    "Its unique selling propositions or market differentiation",
    "Its actual operational footprint and market reach",
    "Its direct competitors in the creative agency and production sector"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 20/26
- Discovery surface: 5/20
- Identity & policy: 3/12
- Agent-facing performance: 3/8
- 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] Server responds too slowly for agents
- [blocker] No MCP endpoint to call

## FAQ
Q: Is 23bis readable by AI agents?
A: 23bis (23bis.ch) scores 55 out of 100 for agent readiness, grade D, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright.

Q: What stops agents from using 23bis.ch?
A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; Server responds too slowly for agents; No MCP endpoint to call. 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 23bis agent-readiness score calculated?
A: Qomvia fetches public pages of 23bis.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 — category ranking: https://qomvia.com/leaderboard/professional-services
- Score another site: https://qomvia.com/