# Duckdesignlab (duckdesignlab.com): agent-readiness 42/100, grade D

> Rank 817 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T23:20:16.891Z. Page: https://qomvia.com/site/duckdesignlab-com  JSON: https://qomvia.com/api/score/duckdesignlab-com

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about duckdesignlab.com in my knowledge base. Therefore, I cannot provide details on its operations or offerings.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "What specific services or products duckdesignlab.com provides.",
    "Who its target audience is.",
    "Its primary geographical focus.",
    "Its reputation or market position.",
    "Specific features or unique selling points."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 18/24
- Content legibility: 8/26
- Discovery surface: 8/20
- Identity & policy: 0/12
- Agent-facing performance: 5/8
- Agent protocols: 3/10
Failing checks:
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] Content is buried in boilerplate
- [blocker] No heading hierarchy
- [blocker] Pages are empty without JavaScript

## Add-on packs
- E-commerce & product feeds: 28/100 (not part of the public score)

## FAQ
Q: Is Duckdesignlab readable by AI agents?
A: Duckdesignlab (duckdesignlab.com) scores 42 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 6 checks currently block agents outright.

Q: What stops agents from using duckdesignlab.com?
A: The heaviest problems are: No llms.txt; The site does not say who it is; Content is buried in boilerplate; No heading hierarchy; Pages are empty without JavaScript. 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 Duckdesignlab agent-readiness score calculated?
A: Qomvia fetches public pages of duckdesignlab.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 (28/100) 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
- Score another site: https://qomvia.com/