# Ranketta (ranketta.com): agent-readiness 64/100, grade C

> Rank 326 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T19:20:15.533Z. Page: https://qomvia.com/site/ranketta-com  JSON: https://qomvia.com/api/score/ranketta-com

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": null,
  "summary": "",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific business model",
    "Customer base size",
    "Market share",
    "Founding team",
    "Funding details"
  ],
  "alternatives": [],
  "business": "",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 22/26
- Discovery surface: 5/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No API or feed to read
- [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: 29/100 (not part of the public score)

## AI mentions and rivals
Named in 14 AI assistant answers.


## Named for
- Which platforms help e-commerce businesses become visible and actionable for AI shopping agents? https://qomvia.com/answers/which-platforms-help-e-commerce-businesses-become-visible-and-actionable-for-ai

## FAQ
Q: Is Ranketta readable by AI agents?
A: Ranketta (ranketta.com) scores 64 out of 100 for agent readiness, grade C, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using ranketta.com?
A: The heaviest problems are: No llms.txt; No API or feed to read; 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 Ranketta agent-readiness score calculated?
A: Qomvia fetches public pages of ranketta.com 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 (29/100) 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 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/