# Storerank (storerank.ai): agent-readiness 65/100, grade C

> Rank 1201 of 3060 on Qomvia (rubric v2.3.0). Last scanned 2026-11-03T04:32:41.196Z. Page: https://qomvia.com/site/storerank-ai  JSON: https://qomvia.com/api/score/storerank-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific, detailed information about StoreRank.ai in my knowledge base. Therefore, I cannot confidently summarize its operations or market position.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "specific product features and functionalities",
    "pricing structure and plans",
    "customer base size and demographics",
    "market reputation and user reviews",
    "company's founding date and history"
  ],
  "alternatives": [],
  "business": "I cannot confidently describe what this company does, for whom, or where, based on my existing knowledge.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 8/20
- Identity & policy: 3/12
- Agent-facing performance: 8/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No heading hierarchy
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact

## Add-on packs
- E-commerce & product feeds: 19/100 (not part of the public score)

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


## FAQ
Q: Is Storerank readable by AI agents?
A: Storerank (storerank.ai) scores 65 out of 100 for agent readiness, grade C, measured today, on 03.11.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using storerank.ai?
A: The heaviest problems are: No llms.txt; No heading hierarchy; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact. 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 Storerank agent-readiness score calculated?
A: Qomvia fetches public pages of storerank.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. E-commerce & product feeds checks are scored separately (19/100) 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 today, on 03.11.2026.

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