# Expert (expert.ai): agent-readiness 64/100, grade C

> Rank 326 of 1000 on Qomvia (rubric v2.3.0). Last scanned 2026-10-09T13:10:14.250Z. Page: https://qomvia.com/site/expert-ai  JSON: https://qomvia.com/api/score/expert-ai

## Summary
Category: Software and SaaS
{
  "known": true,
  "confidence": "high",
  "summary": "Expert.ai is a company specializing in artificial intelligence, particularly natural language understanding (NLU) and natural language processing (NLP). It provides AI-powered solutions to help enterprises extract insights from unstructured data and make informed decisions.",
  "offerings": [
    "Natural Language Understanding (NLU) platform",
    "Enterprise AI solutions",
    "Text analytics and classification",
    "Information extraction and knowledge graphs",
    "Cognitive automation",
    "Hybrid AI approach combining symbolic AI and machine learning"
  ],
  "audience": "Large enterprises and businesses seeking to leverage AI for data insight, automation, and decision-making, particularly from complex unstructured text data.",
  "geography": "Global, with significant operations and customer bases in North America and Europe.",
  "strengths": [
    "Strong focus on natural language understanding (NLU) and natural language processing (NLP).",
    "Utilizes a 'Hybrid AI' approach combining different AI techniques for robustness.",
    "Specializes in extracting insights from complex, unstructured data.",
    "Offers enterprise-grade solutions for various industries.",
    "Has a long-standing presence and experience in the AI/NLP market."
  ],
  "unknowns": [
    "Specific details of current pricing structures and licensing models.",
    "The exact number of active enterprise customers globally.",
    "Detailed financial performance metrics or market share data.",
    "Recent specific feature releases or product roadmap beyond general announcements.",
    "Current employee headcount or organizational structure."
  ],
  "alternatives": [
    "meaningcloud.com",
    "monkeylearn.com",
    "paralleldots.com",
    "celonis.com",
    "ibm.com"
  ],
  "business": "Expert.ai provides natural language understanding and enterprise AI solutions for businesses globally, helping them to process and derive insights from unstructured data.",
  "competitors": [
    "ibm.com",
    "microsoft.com",
    "aws.amazon.com",
    "google.com",
    "meaningcloud.com",
    "monkeylearn.com",
    "paralleldots.com"
  ]
}

## Score by group
- Machine access: 24/24
- Content legibility: 21/26
- Discovery surface: 8/20
- Identity & policy: 3/12
- Agent-facing performance: 8/8
- Agent protocols: 0/10
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 2 AI assistant answers.
- ibm.com: not measured
- microsoft.com: 63/100 https://qomvia.com/site/microsoft-com
- aws.amazon.com: not measured
- google.com: not measured
- monkeylearn.com: not measured

## FAQ
Q: Is Expert readable by AI agents?
A: Expert (expert.ai) scores 64 out of 100 for agent readiness, grade C, measured yesterday, on 09.10.2026. 0 of 3 agent classes we test can use the site, and 2 checks currently block agents outright.

Q: What stops agents from using expert.ai?
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 Expert agent-readiness score calculated?
A: Qomvia fetches public pages of expert.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 yesterday, on 09.10.2026.

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