# Intersales (intersales.de): agent-readiness 68/100, grade C

> Rank 141 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T11:51:03.632Z. Page: https://qomvia.com/site/intersales-de  JSON: https://qomvia.com/api/score/intersales-de

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific knowledge about intersales.de from my training data. Therefore, I cannot confidently summarise what this site is or what it does.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific services or products offered by intersales.de.",
    "Its primary target audience or customer base.",
    "Its geographical area of operation.",
    "Its key strengths or unique selling propositions.",
    "Its direct competitors in the market."
  ],
  "alternatives": [],
  "business": "I do not have sufficient information to confidently describe this company's business activities.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 23/26
- Discovery surface: 8/20
- Identity & policy: 6/12
- Agent-facing performance: 5/8
- Agent protocols: 2/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] Title, description and canonical URL
- [improvement] Organisation structured data

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

## FAQ
Q: Is Intersales readable by AI agents?
A: Intersales (intersales.de) scores 68 out of 100 for agent readiness, grade C, measured 2 days ago, on 28.09.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using intersales.de?
A: The heaviest problems are: No llms.txt; No MCP endpoint to call; No stated policy for automated access; Title, description and canonical URL; Organisation structured data. 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 Intersales agent-readiness score calculated?
A: Qomvia fetches public pages of intersales.de 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.

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