Brainjuice Labs provides an integrated operating stack for AI-era product teams, offering tools for AI visibility, deployment, design systems, and production intelligence. The stack includes CiteSurge, a tool that measures and improves a brand's presence within AI-generated answers by tracking citability and quotability across models. It gives builders a unified command layer with insights, activity feeds, reports, and integrations to manage how their products perform in AI-driven discovery and engagement.
Funding
Funding not disclosed
Founders
Product
Problem
Product teams are experiencing a fundamental shift as AI accelerates the building process, but the associated infrastructure to support visibility, deployment, design, and production intelligence has not kept pace. The bottleneck has moved from simply building to managing how AI engines discover, cite, and engage with a product, forcing builders to improvise with disjointed, single-purpose tools.
Solution
Brainjuice Labs provides an operating stack with four integrated tools—CiteSurge, Hangar, GameFrame, and Savepoint—that collectively support AI-era workflows. The stack serves as a command layer, giving product teams a unified view of their performance across the development lifecycle)Skip. CiteSurge, for example, tracks a brand's GEO score and quotability across AI engines like ChatGPT, Claude, Perplexity, and Gemini. The platform is built on insights and learnings from real internal and pilot products, validating its approach to address the new visibility and infrastructure challenges created by AI-driven building experiences.
Target Audience
Brainjuice Labs targets global product teams that are building and operating AI-augmented applications and need specialized infrastructure for managing AI visibility, deployment, design systems, and production intelligence.
Features
- An integrated stack of four tools—CiteSurge, Hangar, GameFrame, and Savepoint—covering AI visibility, deployment, design systems, and production intelligence
- CiteSurge's GEO score measures and tracks brand visibility across AI answer engines, offering a full corpus sweep and quotability index
- Provides a detailed dashboard with insights, activity feeds, reports, and integrations for a centralized operating picture
- Uses applied research to develop solutions for measuring a brand inside an AI-generated answer, a problem without prior easy solutions
- Supports teams through the phases of visibility, deployment, and production with validated workflows from internal tools