# Bestawards (bestawards.marketing): agent-readiness 51/100, grade D

> Rank 683 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T20:10:16.901Z. Page: https://qomvia.com/site/bestawards-marketing  JSON: https://qomvia.com/api/score/bestawards-marketing

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about the website bestawards.marketing or its operations.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific business model and services offered by bestawards.marketing",
    "Its target audience and market position",
    "The geographical focus of its operations",
    "Its financial performance or reputation",
    "Any unique value proposition it may offer"
  ],
  "alternatives": [],
  "business": "I do not have information on what this company does.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 13/26
- Discovery surface: 8/20
- Identity & policy: 0/12
- Agent-facing performance: 5/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] No heading hierarchy
- [blocker] No MCP endpoint to call
- [improvement] Title, description and canonical URL

## FAQ
Q: Is Bestawards readable by AI agents?
A: Bestawards (bestawards.marketing) scores 51 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 4 checks currently block agents outright.

Q: What stops agents from using bestawards.marketing?
A: The heaviest problems are: No llms.txt; The site does not say who it is; No heading hierarchy; No MCP endpoint to call; Title, description and canonical URL. 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 Bestawards agent-readiness score calculated?
A: Qomvia fetches public pages of bestawards.marketing 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/