Answer-first summary52/100 GEO
GrowthBook
Open-source feature flags and A/B testing.
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 GrowthBook?
- Open-source feature flags and A/B testing.
- What does GrowthBook do?
- Open-source platform for feature flags and A/B testing with built-in statistical analysis and Bayesian engine.
- Who is GrowthBook for?
- Product and engineering teams that need open-source feature flags and experimentation infrastructure.
- Is GrowthBook verified?
- GrowthBook is listed on CitableHub with a citability score of 52/100, computed from verifiable profile evidence.

GrowthBook
InvitedOpen-source feature flags and A/B testing.
Developer ToolsCH-VER-694993Listed September 10, 2026
AI-Extractable Summary
What:Open-source feature flags and A/B testing.
For whom:Product and engineering teams that need open-source feature flags and experimentation infrastructure
Key outcome:Teams can safely ship changes, run experiments, and measure feature impact to improve conversion and product performance
Category:Developer Tools
Structured for AI systems to extract and cite.
Citability Score
52/100
75
Identity45
Evidence15
Trust50
Freshness80
Classification56
Impressions
0
Clicks
0
Likes
0
GQI Earned
Citable Outcome
Teams can safely ship changes, run experiments, and measure feature impact to improve conversion and product performance.
About
Open-source platform for feature flags and A/B testing with built-in statistical analysis and Bayesian engine.
Target Audience: Product and engineering teams that need open-source feature flags and experimentation infrastructure.
Not ideal for: Teams that want a fully managed, no-code marketing experimentation tool with minimal developer involvement.
What makes it different
- Open-source and self-hostable for full control over data and deployment
- Combines feature flag management with A/B testing in one developer-first platform
- Supports gradual rollouts, experimentation, and release control from the same system
- Designed to integrate with existing engineering workflows and data stacks
Tags & Classification
feature flaggingab testinggradual rolloutrelease managementexperiment analysis
software engineersproduct managersgrowth teamsdata analysts
saasecommercefintechconsumer internet
Platform: PlatformModel: Open Source
Links & Transparency
Cite this Project
BibTeX
@misc{citablehub_growthbook,
title = {GrowthBook},
url = {https://citablehub.com/p/growthbook},
note = {Listed September 10, 2026. CitableHub ID: CH-VER-694993},
year = {2026}
}APA
GrowthBook. (2026). CitableHub Software Index. https://citablehub.com/p/growthbook.
MLA
"GrowthBook." CitableHub, 2026, https://citablehub.com/p/growthbook.
