# Lighthouselocal (lighthouselocal.ai): agent-readiness 73/100, grade C

> Rank 68 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-20T04:32:56.932Z. Page: https://qomvia.com/site/lighthouselocal-ai  JSON: https://qomvia.com/api/score/lighthouselocal-ai

## Summary
Category: Software and SaaS
{
  "known": false,
  "confidence": "low",
  "summary": "I do not have specific, independently verifiable knowledge about lighthouselocal.ai from my training data. Therefore, I cannot provide a summary based on my own information.",
  "offerings": [],
  "audience": null,
  "geography": null,
  "strengths": [],
  "unknowns": [
    "The specific services and features offered by lighthouselocal.ai",
    "Its actual market position and customer base",
    "Details about its business model, pricing, or operational scale",
    "Its history, founders, or funding status",
    "Its unique selling propositions or competitive advantages"
  ],
  "alternatives": [],
  "business": "I do not have sufficient information from my training data to accurately describe this business.",
  "competitors": []
}

## Score by group
- Machine access: 24/24
- Content legibility: 23/26
- Discovery surface: 9/20
- Identity & policy: 5/12
- Agent-facing performance: 8/8
- Agent protocols: 4/10
Failing checks:
- [blocker] No API or feed to read
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] No Content Signals

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


## FAQ
Q: Is Lighthouselocal readable by AI agents?
A: Lighthouselocal (lighthouselocal.ai) scores 73 out of 100 for agent readiness, grade C, measured 3 days ago, on 20.10.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using lighthouselocal.ai?
A: The heaviest problems are: No API or feed to read; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; No Content Signals. 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 Lighthouselocal agent-readiness score calculated?
A: Qomvia fetches public pages of lighthouselocal.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 3 days ago, on 20.10.2026.

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