# Asklab (asklab.ai): agent-readiness 49/100, grade D

> Rank 782 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-08T22:20:40.948Z. Page: https://qomvia.com/site/asklab-ai  JSON: https://qomvia.com/api/score/asklab-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "Specific business model and operations",
    "Target market and customer segments",
    "Detailed product features and performance",
    "Market position and competitive landscape",
    "Geographic reach and operational areas"
  ],
  "alternatives": [],
  "business": "",
  "competitors": []
}

## Score by group
- Machine access: 18/24
- Content legibility: 15/26
- Discovery surface: 10/20
- Identity & policy: 3/12
- Agent-facing performance: 3/8
- Agent protocols: 0/10
Failing checks:
- [blocker] Content is buried in boilerplate
- [blocker] No API or feed to read
- [blocker] Server responds too slowly for agents
- [blocker] Pages are empty without JavaScript
- [blocker] No MCP endpoint to call

## AI mentions and rivals
Named in 5 AI assistant answers.


## FAQ
Q: Is Asklab readable by AI agents?
A: Asklab (asklab.ai) scores 49 out of 100 for agent readiness, grade D, measured 2 days ago, on 08.10.2026. 0 of 3 agent classes we test can use the site, and 5 checks currently block agents outright.

Q: What stops agents from using asklab.ai?
A: The heaviest problems are: Content is buried in boilerplate; No API or feed to read; Server responds too slowly for agents; Pages are empty without JavaScript; 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 Asklab agent-readiness score calculated?
A: Qomvia fetches public pages of asklab.ai 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 2 days ago, on 08.10.2026.

## Related
- Leaderboard: https://qomvia.com/leaderboard — category ranking: https://qomvia.com/leaderboard/saas-software
- Score another site: https://qomvia.com/