# Closing (closing.com): agent-readiness 61/100, grade C

> Rank 352 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-28T17:50:17.788Z. Page: https://qomvia.com/site/closing-com  JSON: https://qomvia.com/api/score/closing-com

## Summary

{
  "known": false,
  "confidence": "low",
  "summary": null,
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "No specific information about closing.com is available in my knowledge base.",
    "Its purpose, offerings, and target audience are unknown.",
    "Its operational geography and business model are not known.",
    "The relationship between closing.com and cotality.com, as suggested by the user's provided metadata, is not confirmed by my internal knowledge."
  ],
  "alternatives": [],
  "business": null,
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 22/26
- Discovery surface: 5/20
- Identity & policy: 5/12
- Agent-facing performance: 3/8
- Agent protocols: 2/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No API or feed to read
- [blocker] Server responds too slowly for agents
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access

## Add-on packs
- E-commerce & product feeds: 20/100 (not part of the public score)

## FAQ
Q: Is Closing readable by AI agents?
A: Closing (closing.com) scores 61 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 4 checks currently block agents outright.

Q: What stops agents from using closing.com?
A: The heaviest problems are: No llms.txt; No API or feed to read; Server responds too slowly for agents; No MCP endpoint to call; No stated policy for automated access. 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 Closing agent-readiness score calculated?
A: Qomvia fetches public pages of closing.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 (20/100) 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/