# Listablelabs (listablelabs.com): agent-readiness 72/100, grade C

> Rank 71 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-09-30T12:50:45.950Z. Page: https://qomvia.com/site/listablelabs-com  JSON: https://qomvia.com/api/score/listablelabs-com

## Summary

{
  "known": false,
  "confidence": null,
  "summary": "",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific product features and their efficacy",
    "Pricing structures and service tiers",
    "Customer reviews and testimonials",
    "Company funding and investor information",
    "Geographic market focus"
  ],
  "alternatives": [],
  "business": "",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 17/26
- Discovery surface: 15/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 3/10
Failing checks:
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] Main content is extractable
- [improvement] Nothing says when the content changed

## Add-on packs
- E-commerce & product feeds: 28/100 (not part of the public score)

## AI mentions and rivals
Named in 1 AI assistant answers.


## Named for
- How can I find out whether ChatGPT, Claude or Gemini recommends my company when potential customers ask for products in my category? https://qomvia.com/answers/how-can-i-find-out-whether-chatgpt-claude-or-gemini-recommends-my-company-when-p

## FAQ
Q: Is Listablelabs readable by AI agents?
A: Listablelabs (listablelabs.com) scores 72 out of 100 for agent readiness, grade C, measured today, on 30.09.2026. 0 of 3 agent classes we test can use the site, and 1 check currently block agents outright.

Q: What stops agents from using listablelabs.com?
A: The heaviest problems are: No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; Main content is extractable; Nothing says when the content changed. 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 Listablelabs agent-readiness score calculated?
A: Qomvia fetches public pages of listablelabs.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 (28/100) 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 today, on 30.09.2026.

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