# Athenasearch (athenasearch.com): agent-readiness 89/100, grade B

> Rank 3 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T00:50:16.143Z. Page: https://qomvia.com/site/athenasearch-com  JSON: https://qomvia.com/api/score/athenasearch-com

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about athenasearch.com from my training data. Therefore, I cannot accurately describe what this site is or what it does based on my own information.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific product details and unique selling propositions",
    "Target customer segments and industry focus",
    "Geographical markets of operation",
    "Customer testimonials or success metrics",
    "Company history and founding details"
  ],
  "alternatives": [],
  "business": "I lack specific information from my own knowledge to define this company's business model.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 25/26
- Discovery surface: 18/20
- Identity & policy: 8/12
- Agent-facing performance: 8/8
- Agent protocols: 6/10
Failing checks:
- [improvement] No stated policy for automated access
- [improvement] Sitemap is discoverable and structured
- [improvement] No Content Signals
- [improvement] No Markdown for agents
- [polish] Language and market are declared

## Add-on packs
- E-commerce & product feeds: 44/100 (not part of the public score)

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


## Named for
- 1. Which AI visibility monitoring platform should a small or medium-sized company use to track brand mentions, competitors and recommendations across LLMs? https://qomvia.com/answers/1-which-ai-visibility-monitoring-platform-should-a-small-or-medium-sized-company

## FAQ
Q: Is Athenasearch readable by AI agents?
A: Athenasearch (athenasearch.com) scores 89 out of 100 for agent readiness, grade B, measured 2 days ago, on 08.10.2026. 1 of 3 agent classes we test can use the site, and 0 checks currently block agents outright.

Q: What stops agents from using athenasearch.com?
A: The heaviest problems are: No stated policy for automated access; Sitemap is discoverable and structured; No Content Signals; No Markdown for agents; Language and market are declared. 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 Athenasearch agent-readiness score calculated?
A: Qomvia fetches public pages of athenasearch.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 (44/100) 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/