# Aisearchaudit (aisearchaudit.ai): agent-readiness 68/100, grade C

> Rank 185 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T21:00:14.258Z. Page: https://qomvia.com/site/aisearchaudit-ai  JSON: https://qomvia.com/api/score/aisearchaudit-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about the website aisearchaudit.ai. Therefore, I cannot provide a summary of what it is and what it does based on my own memory.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific product features and functionalities",
    "Target customer segments and typical use cases",
    "Pricing models and subscription tiers",
    "Company history, founding team, and funding status",
    "Market share or user base data"
  ],
  "alternatives": [],
  "business": "I do not have pre-existing knowledge about the specific business model, target audience, or operational location of aisearchaudit.ai.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 25/26
- Discovery surface: 12/20
- Identity & policy: 3/12
- Agent-facing performance: 3/8
- Agent protocols: 1/10
Failing checks:
- [blocker] Server responds too slowly for agents
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] Organisation structured data

## Add-on packs
- E-commerce & product feeds: 7/100 (not part of the public score)

## AI mentions and rivals
Named in 4 AI assistant answers.


## FAQ
Q: Is Aisearchaudit readable by AI agents?
A: Aisearchaudit (aisearchaudit.ai) scores 68 out of 100 for agent readiness, grade C, measured 2 days ago, on 08.10.2026. 1 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using aisearchaudit.ai?
A: The heaviest problems are: Server responds too slowly for agents; 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 Aisearchaudit agent-readiness score calculated?
A: Qomvia fetches public pages of aisearchaudit.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 (7/100) 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/