# Gelaenderladen (gelaenderladen.ch): agent-readiness 68/100, grade C

> Rank 141 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-27T21:00:51.632Z. Page: https://qomvia.com/site/gelaenderladen-ch  JSON: https://qomvia.com/api/score/gelaenderladen-ch

## Summary
Category: DIY and garden
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific, detailed knowledge about gelaenderladen.ch from my training data. Therefore, I cannot provide a comprehensive summary based on direct experience with the site's operations or market position.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific market share and competitive positioning",
    "Customer satisfaction ratings and reviews",
    "Actual business model details beyond its stated purpose",
    "Company history, ownership, and financial performance",
    "Any unique value propositions not explicitly stated in marketing materials"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 26/26
- Discovery surface: 8/20
- Identity & policy: 5/12
- Agent-facing performance: 5/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] No Content Signals

## Add-on packs
- E-commerce & product feeds: 23/100 (not part of the public score)

## FAQ
Q: Is Gelaenderladen readable by AI agents?
A: Gelaenderladen (gelaenderladen.ch) scores 68 out of 100 for agent readiness, grade C, measured 3 days ago, on 27.09.2026. 1 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using gelaenderladen.ch?
A: The heaviest problems are: No llms.txt; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; No Content Signals. 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 Gelaenderladen agent-readiness score calculated?
A: Qomvia fetches public pages of gelaenderladen.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 (23/100) 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 3 days ago, on 27.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/diy-garden
- Score another site: https://qomvia.com/