# Brightit (brightit.com): agent-readiness 45/100, grade D

> Rank 780 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-29T12:40:46.391Z. Page: https://qomvia.com/site/brightit-com  JSON: https://qomvia.com/api/score/brightit-com

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific, detailed knowledge about brightit.com beyond general web content from my training data. Therefore, I cannot provide a summary based on inherent recognition.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific services or products offered by BrightIT.",
    "The primary target audience or client base for BrightIT's solutions.",
    "The operational geographies or market focus of the company.",
    "Key differentiators or unique selling propositions of BrightIT.",
    "The current scale, reputation, or market position of BrightIT."
  ],
  "alternatives": [],
  "business": "I cannot confidently state what this company does, for whom, and where, as I do not have direct knowledge of brightit.com.",
  "competitors": []
}

## Score by group
- Machine access: 21/24
- Content legibility: 16/26
- Discovery surface: 0/20
- Identity & policy: 0/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
Failing checks:
- [blocker] No discoverable sitemap
- [blocker] No llms.txt
- [blocker] The site does not say who it is
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call

## FAQ
Q: Is Brightit readable by AI agents?
A: Brightit (brightit.com) scores 45 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 5 checks currently block agents outright.

Q: What stops agents from using brightit.com?
A: The heaviest problems are: No discoverable sitemap; No llms.txt; The site does not say who it is; No API or feed to read; No MCP endpoint to call. 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 Brightit agent-readiness score calculated?
A: Qomvia fetches public pages of brightit.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/