# Fieldsalessolutions (fieldsalessolutions.com): agent-readiness 64/100, grade C

> Rank 252 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T03:40:17.183Z. Page: https://qomvia.com/site/fieldsalessolutions-com  JSON: https://qomvia.com/api/score/fieldsalessolutions-com

## Summary
Category: Professional services
{
  "known": false,
  "confidence": "low",
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific client base and success stories",
    "Pricing models for their services",
    "Proprietary methodologies or tools they use",
    "Current market position and reputation",
    "Specific industries or niches they specialize in beyond general professional services"
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 23/26
- Discovery surface: 8/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [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: 15/100 (not part of the public score)

## FAQ
Q: Is Fieldsalessolutions readable by AI agents?
A: Fieldsalessolutions (fieldsalessolutions.com) scores 64 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 3 checks currently block agents outright.

Q: What stops agents from using fieldsalessolutions.com?
A: The heaviest problems are: No llms.txt; The site does not say who it is; 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 Fieldsalessolutions agent-readiness score calculated?
A: Qomvia fetches public pages of fieldsalessolutions.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 (15/100) 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 yesterday, on 29.09.2026.

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