# A2zreach (a2zreach.ai): agent-readiness 68/100, grade C

> Rank 185 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-06T21:50:14.319Z. Page: https://qomvia.com/site/a2zreach-ai  JSON: https://qomvia.com/api/score/a2zreach-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific information about a2zreach.ai in my knowledge base.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific product features and capabilities",
    "Target market and customer base",
    "Market reputation and user reviews",
    "Pricing structure",
    "Operational geography"
  ],
  "alternatives": [],
  "business": "I do not have specific information about the business model or operations of a2zreach.ai.",
  "competitors": []
}

## Score by group
- Machine access: 17/24
- Content legibility: 23/26
- Discovery surface: 12/20
- Identity & policy: 8/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No MCP endpoint to call
- [improvement] robots.txt allows AI crawlers
- [improvement] Organisation structured data
- [improvement] Stated automated-access policy
- [improvement] No Content Signals

## Add-on packs
- E-commerce & product feeds: 12/100 (not part of the public score)

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


## FAQ
Q: Is A2zreach readable by AI agents?
A: A2zreach (a2zreach.ai) scores 68 out of 100 for agent readiness, grade C, measured 4 days ago, on 06.10.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright.

Q: What stops agents from using a2zreach.ai?
A: The heaviest problems are: No MCP endpoint to call; robots.txt allows AI crawlers; Organisation structured data; Stated automated-access policy; 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 A2zreach agent-readiness score calculated?
A: Qomvia fetches public pages of a2zreach.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. E-commerce & product feeds checks are scored separately (12/100) 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 4 days ago, on 06.10.2026.

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