# Productrank (productrank.io): agent-readiness 28/100, grade F

> Rank 935 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-07T00:20:39.196Z. Page: https://qomvia.com/site/productrank-io  JSON: https://qomvia.com/api/score/productrank-io

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have pre-existing knowledge about productrank.io from my training data. Therefore, I cannot provide an independent summary of what this site is or what it does based on my own indexed information.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific product features and audit methodologies",
    "Pricing structure and available plans",
    "Customer base and market share",
    "Founding team, company history, and funding",
    "User reviews and industry reputation"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 11/24
- Content legibility: 5/26
- Discovery surface: 4/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
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

## AI mentions and rivals
Named in 1 AI assistant answers.


## FAQ
Q: Is Productrank readable by AI agents?
A: Productrank (productrank.io) scores 28 out of 100 for agent readiness, grade F, measured 3 days ago, on 07.10.2026. 0 of 3 agent classes we test can use the site, and 8 checks currently block agents outright.

Q: What stops agents from using productrank.io?
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 Productrank agent-readiness score calculated?
A: Qomvia fetches public pages of productrank.io 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 3 days ago, on 07.10.2026.

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