# Frizerly (frizerly.com): agent-readiness 63/100, grade C

> Rank 284 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T13:30:15.852Z. Page: https://qomvia.com/site/frizerly-com  JSON: https://qomvia.com/api/score/frizerly-com

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have pre-existing knowledge about Frizerly.com from my training data. Therefore, I cannot provide a summary of its operations or services based on my own understanding.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Its specific features and their effectiveness",
    "Its target market and typical customer base",
    "Its geographic operational reach and market penetration",
    "Its pricing models, typical customer acquisition cost, and overall value proposition",
    "Its reputation, user reviews, or competitive differentiators"
  ],
  "alternatives": [],
  "business": "I do not have specific knowledge about the business operations or market position of Frizerly.com.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 5/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- 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

## Add-on packs
- E-commerce & product feeds: 37/100 (not part of the public score)

## AI mentions and rivals
Named in 2 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

## FAQ
Q: Is Frizerly readable by AI agents?
A: Frizerly (frizerly.com) scores 63 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 3 checks currently block agents outright.

Q: What stops agents from using frizerly.com?
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 Frizerly agent-readiness score calculated?
A: Qomvia fetches public pages of frizerly.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 (37/100) 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 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/