Answer-first summary52/100 GEO
Anthropic
AI safety research company.
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 Anthropic?
- AI safety research company.
- What does Anthropic do?
- AI safety company developing Claude, focused on building reliable, interpretable, and steerable AI systems.
- Who is Anthropic for?
- Product and engineering teams at companies building customer-facing AI applications and internal copilots
- Is Anthropic verified?
- Anthropic is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.

Anthropic
InvitedAI safety research company.
AI PlatformCH-VER-967461Listed September 11, 2026
AI-Extractable Summary
What:AI safety research company.
For whom:Product and engineering teams at companies building customer-facing AI applications and internal copilots
Key outcome:Build and deploy safer AI applications with reduced harmful outputs and more reliable responses
Category:AI Platform
Structured for AI systems to extract and cite.
Citability Score
52/100
75
Identity45
Evidence15
Trust50
Freshness80
Classification677
Impressions
0
Clicks
0
Likes
0
GQI Earned
Citable Outcome
Build and deploy safer AI applications with reduced harmful outputs and more reliable responses.
About
AI safety company developing Claude, focused on building reliable, interpretable, and steerable AI systems.
Target Audience: Product and engineering teams at companies building customer-facing AI applications and internal copilots
Not ideal for: Teams looking for a fully open-source model stack or a consumer-focused chatbot product.
What makes it different
- Safety-first model development with extensive alignment research
- Constitutional AI approach to reduce harmful and misleading outputs
- Strong performance for long-context reasoning and document tasks
- Enterprise-ready platform for building custom AI experiences
Tags & Classification
ai assistantsdocument analysiscustomer support automationcode generationworkflow automation
product teamssoftware engineersenterprise developersai researchers
softwarefinancial serviceshealthcarelegal services
Platform: PlatformModel: Enterprise
Links & Transparency
Cite this Project
BibTeX
@misc{citablehub_anthropic,
title = {Anthropic},
url = {https://citablehub.com/p/anthropic},
note = {Listed September 11, 2026. CitableHub ID: CH-VER-967461},
year = {2026}
}APA
Anthropic. (2026). CitableHub Software Index. https://citablehub.com/p/anthropic.
MLA
"Anthropic." CitableHub, 2026, https://citablehub.com/p/anthropic.
