# Appmarketingagency (appmarketingagency.co.uk): agent-readiness 42/100, grade D

> Rank 817 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T01:50:16.215Z. Page: https://qomvia.com/site/appmarketingagency-co-uk  JSON: https://qomvia.com/api/score/appmarketingagency-co-uk

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about appmarketingagency.co.uk from my training data.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific services and specializations offered by this agency",
    "Its client portfolio and case studies",
    "Its operational history and market reputation",
    "The size and expertise of its team members",
    "Its pricing structure and engagement models"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 11/24
- Content legibility: 5/26
- Discovery surface: 10/20
- Identity & policy: 3/12
- Agent-facing performance: 8/8
- Agent protocols: 5/10
Failing checks:
- [blocker] No discoverable sitemap
- [blocker] The site does not say who it is
- [blocker] Content is buried in boilerplate
- [blocker] Bot protection blocks declared agents
- [blocker] No API or feed to read

## FAQ
Q: Is Appmarketingagency readable by AI agents?
A: Appmarketingagency (appmarketingagency.co.uk) 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 7 checks currently block agents outright.

Q: What stops agents from using appmarketingagency.co.uk?
A: The heaviest problems are: No discoverable sitemap; The site does not say who it is; Content is buried in boilerplate; Bot protection blocks declared agents; No API or feed to read. 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 Appmarketingagency agent-readiness score calculated?
A: Qomvia fetches public pages of appmarketingagency.co.uk 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
- Score another site: https://qomvia.com/