# Planleft (planleft.com): agent-readiness 72/100, grade C

> Rank 70 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T21:50:45.065Z. Page: https://qomvia.com/site/planleft-com  JSON: https://qomvia.com/api/score/planleft-com

## Summary

{
  "known": false,
  "confidence": "high",
  "summary": "I do not have specific pre-existing knowledge about planleft.com as a distinct entity in my training data. Therefore, I cannot provide a summary based on my own knowledge.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific details about their integrated marketing services.",
    "Their target customer segments beyond 'leaders and teams'.",
    "The geographical scope of their operations.",
    "Their unique selling propositions compared to competitors.",
    "Case studies or client success stories."
  ],
  "alternatives": [],
  "business": "I cannot confidently describe what this company does, for whom, or where based on pre-existing knowledge.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 25/26
- Discovery surface: 12/20
- Identity & policy: 5/12
- Agent-facing performance: 5/8
- Agent protocols: 1/10
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] Pages are too heavy to parse

## Add-on packs
- E-commerce & product feeds: 15/100 (not part of the public score)

## FAQ
Q: Is Planleft readable by AI agents?
A: Planleft (planleft.com) scores 72 out of 100 for agent readiness, grade C, measured 2 days ago, on 28.09.2026. 1 of 3 agent classes we test can use the site, and 1 check currently block agents outright.

Q: What stops agents from using planleft.com?
A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; No Content Signals; Pages are too heavy to parse. 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 Planleft agent-readiness score calculated?
A: Qomvia fetches public pages of planleft.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 2 days ago, on 28.09.2026.

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