# Allmond (allmond.app): agent-readiness 47/100, grade D

> Rank 817 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T16:50:42.768Z. Page: https://qomvia.com/site/allmond-app  JSON: https://qomvia.com/api/score/allmond-app

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about allmond.app in my training data. Therefore, I cannot provide a summary of what this site is or what it does from my own knowledge.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific features and functionalities",
    "Target customer segments",
    "Pricing models",
    "Market share and reputation",
    "Founding team and history"
  ],
  "alternatives": [],
  "business": "I do not have specific pre-existing information about this company's business model or operations.",
  "competitors": []
}

## Score by group
- Machine access: 18/24
- Content legibility: 11/26
- Discovery surface: 8/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 2/10
Failing checks:
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] Content is buried in boilerplate
- [blocker] No heading hierarchy
- [blocker] Pages are empty without JavaScript

## Add-on packs
- E-commerce & product feeds: 23/100 (not part of the public score)

## AI mentions and rivals
Named in 6 AI assistant answers.


## Named for
- Which platforms can help me measure my brand’s visibility in generative AI and LLM-generated answers? https://qomvia.com/answers/which-platforms-can-help-me-measure-my-brand-s-visibility-in-generative-ai-and-l
- 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 Allmond readable by AI agents?
A: Allmond (allmond.app) scores 47 out of 100 for agent readiness, grade D, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 6 checks currently block agents outright.

Q: What stops agents from using allmond.app?
A: The heaviest problems are: No llms.txt; The site does not say who it is; Content is buried in boilerplate; No heading hierarchy; Pages are empty without JavaScript. 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 Allmond agent-readiness score calculated?
A: Qomvia fetches public pages of allmond.app 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 (23/100) 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/