# Netzoll (netzoll.com): agent-readiness 62/100, grade C

> Rank 325 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T09:30:15.732Z. Page: https://qomvia.com/site/netzoll-com  JSON: https://qomvia.com/api/score/netzoll-com

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have pre-existing knowledge about netzoll.com in my training data. Therefore, I cannot provide a summary based on what the site is or does from my own understanding.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific clients and projects Netzoll has worked on.",
    "Their unique value proposition beyond general marketing services.",
    "Their pricing structure and service packages.",
    "Their team size and specific expertise.",
    "Their long-term track record and client retention rates."
  ],
  "alternatives": [],
  "business": "I do not have information in my knowledge base to describe this company's business.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 22/26
- Discovery surface: 5/20
- Identity & policy: 3/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

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

## FAQ
Q: Is Netzoll readable by AI agents?
A: Netzoll (netzoll.com) scores 62 out of 100 for agent readiness, grade C, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using netzoll.com?
A: The heaviest problems are: No llms.txt; No API or feed to read; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact. 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 Netzoll agent-readiness score calculated?
A: Qomvia fetches public pages of netzoll.com 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 yesterday, on 29.09.2026.

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