# Klickexperten (klickexperten.at): agent-readiness 53/100, grade D

> Rank 630 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T21:50:16.411Z. Page: https://qomvia.com/site/klickexperten-at  JSON: https://qomvia.com/api/score/klickexperten-at

## Summary
Category: IT services and agencies
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about klickexperten.at in my knowledge base. My training data does not contain detailed insights into this particular digital marketing agency beyond what is provided in the query.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific services offered beyond general online marketing",
    "Client testimonials or case studies",
    "Pricing structures",
    "Team size and expertise",
    "Market reputation and specific specializations"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 15/26
- Discovery surface: 5/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access

## FAQ
Q: Is Klickexperten readable by AI agents?
A: Klickexperten (klickexperten.at) scores 53 out of 100 for agent readiness, grade D, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 4 checks currently block agents outright.

Q: What stops agents from using klickexperten.at?
A: The heaviest problems are: No llms.txt; The site does not say who it is; No API or feed to read; No MCP endpoint to call; No stated policy for automated access. 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 Klickexperten agent-readiness score calculated?
A: Qomvia fetches public pages of klickexperten.at 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 yesterday, on 29.09.2026.

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