Your Citability Score
52/100Identity75/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
- Identity: Add: Founder / Team, Social links.
- Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
- Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
- Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
- Classification: Add: At least 2 tags.
Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.
Frequently asked questions
- What is Hebbia?
- AI for document analysis.
- What does Hebbia do?
- Enterprise AI platform for high-accuracy document analysis and knowledge extraction in finance, law, and consulting.
- Who is Hebbia for?
- Investment teams, law firms, and enterprise knowledge workers who need to search, analyze, and summarize large collections of documents.
- Is Hebbia verified?
- Hebbia is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
Hebbia
InvitedAI for document analysis.
AI ToolsCH-VER-967496Listed September 11, 2026
AI-Extractable Summary
What:AI for document analysis.
For whom:Investment teams, law firms, and enterprise knowledge workers who need to search, analyze, and summarize large collections of documents
Key outcome:Reduce hours spent reviewing and extracting insights from large document sets into minutes while producing cited, decision-ready answers
Category:AI Tools
Structured for AI systems to extract and cite.
Citability Score
52/100
75
Identity45
Evidence15
Trust50
Freshness80
Classification50
Impressions
0
Clicks
0
Likes
0
GQI Earned
Citable Outcome
Reduce hours spent reviewing and extracting insights from large document sets into minutes while producing cited, decision-ready answers.
About
Enterprise AI platform for high-accuracy document analysis and knowledge extraction in finance, law, and consulting.
Target Audience: Investment teams, law firms, and enterprise knowledge workers who need to search, analyze, and summarize large collections of documents.
Not ideal for: Individuals or small teams looking for a simple note-taking app or generic chatbot rather than large-scale document analysis.
What makes it different
- Processes large document collections and returns answers with source citations
- Supports structured multi-document reasoning, extraction, and comparison
- Designed for enterprise workflows with security and team collaboration needs
- Outperforms generic chatbots for complex research, diligence, and analysis tasks
Tags & Classification
document reviewdue diligencecontract analysisresearch synthesiscompliance review
investment analystslawyersconsultantsenterprise knowledge workers
financial serviceslegalconsultingprivate equity
Platform: PlatformModel: Enterprise
Links & Transparency
Cite this Project
BibTeX
@misc{citablehub_hebbia,
title = {Hebbia},
url = {https://citablehub.com/p/hebbia},
note = {Listed September 11, 2026. CitableHub ID: CH-VER-967496},
year = {2026}
}APA
Hebbia. (2026). CitableHub Software Index. https://citablehub.com/p/hebbia.
MLA
"Hebbia." CitableHub, 2026, https://citablehub.com/p/hebbia.