# Upbyweb (upbyweb.com): agent-readiness 58/100, grade D

> Rank 470 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T00:00:15.986Z. Page: https://qomvia.com/site/upbyweb-com  JSON: https://qomvia.com/api/score/upbyweb-com

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific knowledge about upbyweb.com from my training data. Therefore, I cannot provide a confident summary of its operations or what it does.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific range of digital marketing services it provides",
    "Its primary target audience or industry focus",
    "Its reputation or client satisfaction",
    "Its operational scale or team size",
    "Its pricing models or typical project engagement"
  ],
  "alternatives": [],
  "business": "I do not have specific knowledge about what upbyweb.com does, for whom, or where.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 15/26
- Discovery surface: 8/20
- Identity & policy: 3/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] Title, description and canonical URL

## FAQ
Q: Is Upbyweb readable by AI agents?
A: Upbyweb (upbyweb.com) scores 58 out of 100 for agent readiness, grade D, measured yesterday, on 29.09.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using upbyweb.com?
A: The heaviest problems are: No llms.txt; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; Title, description and canonical URL. 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 Upbyweb agent-readiness score calculated?
A: Qomvia fetches public pages of upbyweb.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/