# Machineread (machineread.ai): agent-readiness 87/100, grade B

> Rank 6 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T22:50:39.787Z. Page: https://qomvia.com/site/machineread-ai  JSON: https://qomvia.com/api/score/machineread-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "This AI does not possess prior knowledge of machineread.ai based on its training data. Consequently, it cannot describe what the site is or what it does from its own existing information.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "No prior specific information about machineread.ai is available in this AI's knowledge base."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 23/26
- Discovery surface: 19/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 8/10
Failing checks:
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] Content carries a date
- [polish] Language and market are declared
- [polish] No Web Bot Auth support

## AI mentions and rivals
Named in 3 AI assistant answers.


## FAQ
Q: Is Machineread readable by AI agents?
A: Machineread (machineread.ai) scores 87 out of 100 for agent readiness, grade B, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 0 checks currently block agents outright.

Q: What stops agents from using machineread.ai?
A: The heaviest problems are: No stated policy for automated access; No machine-readable contact; Content carries a date; Language and market are declared; No Web Bot Auth support. 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 Machineread agent-readiness score calculated?
A: Qomvia fetches public pages of machineread.ai 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 08.10.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software
- Score another site: https://qomvia.com/