# Kundenstopper-discount (kundenstopper-discount.ch): agent-readiness 24/100, grade F

> Rank 920 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T05:00:17.315Z. Page: https://qomvia.com/site/kundenstopper-discount-ch  JSON: https://qomvia.com/api/score/kundenstopper-discount-ch

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about kundenstopper-discount.ch as a particular business entity or website.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The exact products or services offered by the site",
    "Its specific target audience and market positioning",
    "Its operational history or reputation within its niche",
    "The business model and pricing strategies employed",
    "Customer feedback and satisfaction levels"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 12/24
- Content legibility: 2/26
- Discovery surface: 5/20
- Identity & policy: 0/12
- Agent-facing performance: 5/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] Title, description and canonical URL
- [improvement] Organisation structured data

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

## FAQ
Q: Is Kundenstopper-discount readable by AI agents?
A: Kundenstopper-discount (kundenstopper-discount.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 3 checks currently block agents outright.

Q: What stops agents from using kundenstopper-discount.ch?
A: The heaviest problems are: No llms.txt; No API or feed to read; No MCP endpoint to call; Title, description and canonical URL; Organisation structured data. 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 Kundenstopper-discount agent-readiness score calculated?
A: Qomvia fetches public pages of kundenstopper-discount.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 2 days ago, on 28.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard
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