# Stayfront (stayfront.ai): agent-readiness 66/100, grade C

> Rank 259 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-09T19:00:14.277Z. Page: https://qomvia.com/site/stayfront-ai  JSON: https://qomvia.com/api/score/stayfront-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific knowledge about stayfront.ai from my training data. Therefore, I cannot provide a summary based on prior information.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific features and functionalities offered by stayfront.ai.",
    "Its pricing structure and business model.",
    "Customer reviews, testimonials, or user satisfaction levels.",
    "Its market share or user base.",
    "Key differentiators from potential competitors."
  ],
  "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: 5/8
- Agent protocols: 2/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No machine-readable contact
- [improvement] Organisation structured data

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


## FAQ
Q: Is Stayfront readable by AI agents?
A: Stayfront (stayfront.ai) scores 66 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 stayfront.ai?
A: The heaviest problems are: No llms.txt; No API or feed to read; No MCP endpoint to call; 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 Stayfront agent-readiness score calculated?
A: Qomvia fetches public pages of stayfront.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/