# Lumar (lumar.io): agent-readiness 64/100, grade C

> Rank 326 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-21T08:00:14.286Z. Page: https://qomvia.com/site/lumar-io  JSON: https://qomvia.com/api/score/lumar-io

## Summary
Category: Software and SaaS
{
  "known": true,
  "confidence": "high",
  "summary": "Lumar, formerly DeepCrawl, is an enterprise website intelligence platform designed to help large organizations audit, monitor, and optimize their websites. It provides advanced tools for technical SEO, website performance, accessibility, and internationalization to ensure site health and improve organic visibility.",
  "offerings": [
    "Technical SEO audits and monitoring",
    "Website performance optimization",
    "Web accessibility checks",
    "International SEO (GEO) analysis",
    "Website optimization workflows",
    "Enterprise-scale crawling and data analysis"
  ],
  "audience": "Enterprise-level website teams, SEO professionals, digital marketing agencies, and IT departments managing large, complex websites.",
  "geography": "Global operations, serving enterprise clients worldwide.",
  "strengths": [
    "High scalability for large and complex websites",
    "Comprehensive technical SEO insights",
    "Focus on website health, performance, and accessibility",
    "Detailed reporting and customization options",
    "Integration capabilities with other analytics and marketing tools"
  ],
  "unknowns": [
    "Specific current pricing structures for different enterprise tiers",
    "Exact number of active enterprise clients or specific case study ROI figures",
    "Detailed breakdown of all recent minor feature updates since last major update",
    "Specific internal organizational structure or team sizes",
    "Roadmap for upcoming niche integrations"
  ],
  "alternatives": [
    "screamingfrog.co.uk",
    "ahrefs.com",
    "semrush.com",
    "sitebulb.com",
    "oncrawl.com"
  ],
  "business": "Enterprise website intelligence platform for technical SEO, site health, and performance, serving large organizations globally.",
  "competitors": [
    "oncrawl.com",
    "sitebulb.com",
    "contentkingapp.com",
    "screamingfrog.co.uk",
    "ahrefs.com",
    "semrush.com",
    "moz.com"
  ]
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 8/20
- Identity & policy: 5/12
- Agent-facing performance: 5/8
- Agent protocols: 1/10
Failing checks:
- [blocker] No llms.txt
- [blocker] No MCP endpoint to call
- [improvement] No stated policy for automated access
- [improvement] No machine-readable contact
- [improvement] Title, description and canonical URL

## AI mentions and rivals
Named in 1 AI assistant answers.
- oncrawl.com: not measured
- sitebulb.com: 61/100 https://qomvia.com/site/sitebulb-com
- contentkingapp.com: not measured
- ahrefs.com: 55/100 https://qomvia.com/site/ahrefs-com
- semrush.com: 73/100 https://qomvia.com/site/semrush-com

## Named for
- Which platforms can help me measure my brand’s visibility in generative AI and LLM-generated answers? https://qomvia.com/answers/which-platforms-can-help-me-measure-my-brand-s-visibility-in-generative-ai-and-l

## FAQ
Q: Is Lumar readable by AI agents?
A: Lumar (lumar.io) scores 64 out of 100 for agent readiness, grade C, measured 2 days ago, on 21.10.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using lumar.io?
A: The heaviest problems are: No llms.txt; No MCP endpoint to call; No stated policy for automated access; No machine-readable contact; Title, description and canonical URL. 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 Lumar agent-readiness score calculated?
A: Qomvia fetches public pages of lumar.io 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 21.10.2026.

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