# Ultrascout (ultrascout.ai): agent-readiness 68/100, grade C

> Rank 141 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T12:50:16.870Z. Page: https://qomvia.com/site/ultrascout-ai  JSON: https://qomvia.com/api/score/ultrascout-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific product features and pricing models.",
    "Actual customer base size or types.",
    "Company history and founding details.",
    "Market share or industry position.",
    "Key personnel or leadership."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 10/20
- Identity & policy: 5/12
- 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] No Content Signals

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


## Named for
- What are the best tools to track how a brand is mentioned and recommended by AI assistants like ChatGPT, Claude and Gemini? https://qomvia.com/answers/what-are-the-best-tools-to-track-how-a-brand-is-mentioned-and-recommended-by-ai
- How can I find out whether ChatGPT, Claude or Gemini recommends my company when potential customers ask for products in my category? https://qomvia.com/answers/how-can-i-find-out-whether-chatgpt-claude-or-gemini-recommends-my-company-when-p

## FAQ
Q: Is Ultrascout readable by AI agents?
A: Ultrascout (ultrascout.ai) scores 68 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 ultrascout.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; No Content Signals. 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 Ultrascout agent-readiness score calculated?
A: Qomvia fetches public pages of ultrascout.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/