# Zebrafashion (zebrafashion.com): agent-readiness 44/100, grade D

> Rank 799 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T08:20:45.354Z. Page: https://qomvia.com/site/zebrafashion-com  JSON: https://qomvia.com/api/score/zebrafashion-com

## Summary
Category: Fashion and apparel
{
  "known": false,
  "confidence": null,
  "summary": "I do not have specific prior knowledge about zebrafashion.com from my training data to provide a detailed summary.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific financial performance and market share",
    "Customer reviews and satisfaction data",
    "Detailed product range and pricing structure",
    "Supply chain and ethical sourcing practices",
    "Market positioning against direct competitors"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 17/26
- Discovery surface: 0/20
- Identity & policy: 0/12
- Agent-facing performance: 3/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No discoverable sitemap
- [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

## FAQ
Q: Is Zebrafashion readable by AI agents?
A: Zebrafashion (zebrafashion.com) scores 44 out of 100 for agent readiness, grade D, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright.

Q: What stops agents from using zebrafashion.com?
A: The heaviest problems are: No discoverable sitemap; No llms.txt; The site does not say who it is; No API or feed to read; No MCP endpoint to call. 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 Zebrafashion agent-readiness score calculated?
A: Qomvia fetches public pages of zebrafashion.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.

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 — category ranking: https://qomvia.com/leaderboard/fashion-apparel
- Score another site: https://qomvia.com/