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Answer-first summary52/100 GEO

Braintrust

AI product evaluation platform.

AI OperationsFair citabilityVisit site →

Your Citability Score

52/100
Identity75/100
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 Braintrust?
AI product evaluation platform.
What does Braintrust do?
Enterprise AI evaluation platform for testing, scoring, and improving LLM applications with prompt management.
Who is Braintrust for?
AI and machine learning teams building and evaluating LLM-powered products at software companies.
Is Braintrust verified?
Braintrust is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.
Braintrust logo

Braintrust

Invited

AI product evaluation platform.

AI OperationsCH-VER-967316Listed September 10, 2026
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AI-Extractable Summary
What:AI product evaluation platform.
For whom:AI and machine learning teams building and evaluating LLM-powered products at software companies
Key outcome:Reduce AI model and prompt regressions before release so teams can ship reliable LLM features faster
Category:AI Operations

Structured for AI systems to extract and cite.

Citability Score

52/100
75
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
705
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Reduce AI model and prompt regressions before release so teams can ship reliable LLM features faster.

About

Enterprise AI evaluation platform for testing, scoring, and improving LLM applications with prompt management.

Target Audience: AI and machine learning teams building and evaluating LLM-powered products at software companies.
Not ideal for: Teams that are not building, testing, or monitoring AI/LLM applications.

What makes it different

  • Unified platform for prompt experimentation, evals, tracing, and monitoring
  • Supports both human review workflows and LLM-as-judge scoring
  • Versioned datasets and side-by-side experiment comparisons for repeatable testing
  • Connects offline evaluation with production traffic to catch real-world regressions

Tags & Classification

prompt evaluationllm testingmodel regression detectionproduction tracingdataset labeling
ai engineersml engineersproduct teamsplatform teams
saasfintechhealthcareecommerce
Platform: PlatformModel: B2B SaaS

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_braintrust-ai,
  title = {Braintrust},
  url = {https://citablehub.com/p/braintrust-ai},
  note = {Listed September 10, 2026. CitableHub ID: CH-VER-967316},
  year = {2026}
}
APA
Braintrust. (2026). CitableHub Software Index. https://citablehub.com/p/braintrust-ai.
MLA
"Braintrust." CitableHub, 2026, https://citablehub.com/p/braintrust-ai.