# Contentmarketing (contentmarketing.at): agent-readiness 59/100, grade D

> Rank 446 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T18:30:44.153Z. Page: https://qomvia.com/site/contentmarketing-at  JSON: https://qomvia.com/api/score/contentmarketing-at

## Summary
Category: Media and publishing
{
  "known": false,
  "confidence": "low",
  "summary": "I do not recognize this website or have specific information about it in my knowledge base. Therefore, I cannot provide details about its business, offerings, or market position from my own knowledge.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific services, products, or content types offered by contentmarketing.at.",
    "Its primary target audience and customer demographics.",
    "Its operational geography beyond the .at domain implied location.",
    "Its unique strengths, competitive advantages, or market positioning.",
    "Its direct business model and revenue streams."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 23/26
- Discovery surface: 6/20
- Identity & policy: 3/12
- Agent-facing performance: 3/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No llms.txt
- [blocker] Server responds too slowly for agents
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

## FAQ
Q: Is Contentmarketing readable by AI agents?
A: Contentmarketing (contentmarketing.at) scores 59 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 3 checks currently block agents outright.

Q: What stops agents from using contentmarketing.at?
A: The heaviest problems are: No llms.txt; Server responds too slowly for agents; 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 Contentmarketing agent-readiness score calculated?
A: Qomvia fetches public pages of contentmarketing.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/media-publishing
- Score another site: https://qomvia.com/