# Netsitemarketing (netsitemarketing.com): agent-readiness 74/100, grade C

> Rank 41 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T16:20:43.794Z. Page: https://qomvia.com/site/netsitemarketing-com  JSON: https://qomvia.com/api/score/netsitemarketing-com

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about netsitemarketing.com from my training data. Based on the information provided in the prompt, the site presents itself as a B2B internet marketing firm specializing in SEO campaigns to grow website visibility.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific details about their SEO methodologies or proprietary tools.",
    "Their primary geographic market or target client industries.",
    "Independent reviews or validated client success metrics.",
    "The typical size or scale of businesses they serve.",
    "The size of their team or company structure."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 25/26
- Discovery surface: 12/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] No Content Signals
- [improvement] Machine-readable data surface

## FAQ
Q: Is Netsitemarketing readable by AI agents?
A: Netsitemarketing (netsitemarketing.com) scores 74 out of 100 for agent readiness, grade C, measured yesterday, on 29.09.2026. 1 of 3 agent classes we test can use the site, and 1 check currently block agents outright.

Q: What stops agents from using netsitemarketing.com?
A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; No Content Signals; Machine-readable data surface. 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 Netsitemarketing agent-readiness score calculated?
A: Qomvia fetches public pages of netsitemarketing.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.

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 29.09.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard
- Score another site: https://qomvia.com/