# Inboundbuzz (inboundbuzz.de): agent-readiness 61/100, grade C

> Rank 352 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T11:30:16.894Z. Page: https://qomvia.com/site/inboundbuzz-de  JSON: https://qomvia.com/api/score/inboundbuzz-de

## Summary

{
  "known": false,
  "confidence": null,
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "I do not have specific, pre-existing knowledge about inboundbuzz.de in my training data.",
    "Therefore, I cannot provide details on its actual operations, client base, or market standing.",
    "I cannot confidently identify its direct competitors or alternatives from my own knowledge.",
    "I cannot assess the veracity of its self-description as a top marketing agency."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 19/26
- 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

## FAQ
Q: Is Inboundbuzz readable by AI agents?
A: Inboundbuzz (inboundbuzz.de) scores 61 out of 100 for agent readiness, grade C, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using inboundbuzz.de?
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 Inboundbuzz agent-readiness score calculated?
A: Qomvia fetches public pages of inboundbuzz.de 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 2 days ago, on 28.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard
- Score another site: https://qomvia.com/