# Pixit (pixit.at): agent-readiness 27/100, grade F

> Rank 906 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T01:50:44.404Z. Page: https://qomvia.com/site/pixit-at  JSON: https://qomvia.com/api/score/pixit-at

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about the website pixit.at in my knowledge base. Therefore, I cannot provide details on its purpose or operations.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "What services or products pixit.at offers.",
    "The target audience or customer base of pixit.at.",
    "The primary geographical region where pixit.at operates.",
    "The specific business model or industry of pixit.at.",
    "Any notable features, reputation, or user feedback regarding pixit.at."
  ],
  "alternatives": [],
  "business": "information not available",
  "competitors": []
}

## Score by group
- Machine access: 16/24
- Content legibility: 3/26
- Discovery surface: 0/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] Page metadata is incomplete
- [blocker] No discoverable sitemap
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] Content is buried in boilerplate

## FAQ
Q: Is Pixit readable by AI agents?
A: Pixit (pixit.at) scores 27 out of 100 for agent readiness, grade F, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 9 checks currently block agents outright.

Q: What stops agents from using pixit.at?
A: The heaviest problems are: Page metadata is incomplete; No discoverable sitemap; No llms.txt; The site does not say who it is; Content is buried in boilerplate. 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 Pixit agent-readiness score calculated?
A: Qomvia fetches public pages of pixit.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 today, on 30.09.2026.

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