# Evertune (evertune.ai): agent-readiness 63/100, grade C

> Rank 284 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T12:40:16.938Z. Page: https://qomvia.com/site/evertune-ai  JSON: https://qomvia.com/api/score/evertune-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about evertune.ai from my training data. Therefore, I cannot provide a summary based on my own information.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific product features and functionalities",
    "Primary target market segments",
    "Geographic scope of operations",
    "Customer base size or notable clients",
    "Financial performance or funding status"
  ],
  "alternatives": [],
  "business": "I do not have sufficient pre-existing information to confidently describe this company's business model.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 19/26
- Discovery surface: 9/20
- Identity & policy: 3/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [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
- [improvement] Organisation structured data

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


## Named for
- Which platforms can help me measure my brand’s visibility in generative AI and LLM-generated answers? https://qomvia.com/answers/which-platforms-can-help-me-measure-my-brand-s-visibility-in-generative-ai-and-l

## FAQ
Q: Is Evertune readable by AI agents?
A: Evertune (evertune.ai) scores 63 out of 100 for agent readiness, grade C, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using evertune.ai?
A: The heaviest problems are: No API or feed to read; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; Organisation structured data. 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 Evertune agent-readiness score calculated?
A: Qomvia fetches public pages of evertune.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 today, on 30.09.2026.

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