# Fastdigitalmarketing (fastdigitalmarketing.com): agent-readiness 72/100, grade C

> Rank 70 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T14:40:45.905Z. Page: https://qomvia.com/site/fastdigitalmarketing-com  JSON: https://qomvia.com/api/score/fastdigitalmarketing-com

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific pre-existing knowledge about fastdigitalmarketing.com. 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 services and product details",
    "Customer base demographics",
    "Market reputation and reviews",
    "Pricing models beyond general monthly fees",
    "Comparative advantages over other marketing services"
  ],
  "alternatives": [],
  "business": "I have no information about this company's business from my own knowledge base.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 23/26
- 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] Content carries a date

## FAQ
Q: Is Fastdigitalmarketing readable by AI agents?
A: Fastdigitalmarketing (fastdigitalmarketing.com) scores 72 out of 100 for agent readiness, grade C, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright.

Q: What stops agents from using fastdigitalmarketing.com?
A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; No Content Signals; Content carries a date. 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 Fastdigitalmarketing agent-readiness score calculated?
A: Qomvia fetches public pages of fastdigitalmarketing.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/