# Risn (risn.ai): agent-readiness 65/100, grade C

> Rank 294 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-09T18:30:14.284Z. Page: https://qomvia.com/site/risn-ai  JSON: https://qomvia.com/api/score/risn-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "I have no prior, distinct knowledge of the website risn.ai beyond the information provided in this prompt.",
    "The specific features, pricing, and effectiveness of RISN AI's platform.",
    "The primary target audience or geographic markets served by RISN AI.",
    "Any user reviews, case studies, or independent evaluations of RISN AI.",
    "The business's history, founding team, or funding status."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 25/26
- Discovery surface: 5/20
- Identity & policy: 5/12
- Agent-facing performance: 6/8
- 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

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


## FAQ
Q: Is Risn readable by AI agents?
A: Risn (risn.ai) scores 65 out of 100 for agent readiness, grade C, measured yesterday, on 09.10.2026. 0 of 3 agent classes we test can use the site, and 3 checks currently block agents outright.

Q: What stops agents from using risn.ai?
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 Risn agent-readiness score calculated?
A: Qomvia fetches public pages of risn.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 yesterday, on 09.10.2026.

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