Whiteship
Whiteship provides an AI reputation intelligence platform that monitors how brands are represented across conversational AI systems and generative search engines. The platform analyzes AI answers, maps the source signals driving those responses, and tracks narrative changes over time to help brands detect emerging reputation issues. It monitors models including ChatGPT, Claude, Gemini, Grok, and Perplexity, with a self-serve plan starting at €189 per month.
- Data & Analytics
- Artificial Intelligence
- Marketing Technology
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
As consumers increasingly turn to AI assistants and generative search engines for recommendations and information, brands have limited visibility into what these systems say about them. The sources that AI models cite directly shape user trust and purchasing decisions, yet companies lack tools to systematically monitor, understand, and influence these AI-driven narratives.
Solution
Whiteship provides an AI reputation intelligence platform that continuously monitors how brands are represented across conversational AI systems and generative search engines. The platform analyzes AI answers, maps the evidence and source signals that drive those responses, and scores narrative confidence to reveal why AI models recommend or criticize a brand. Whiteship diffs answers over time to track changes in sentiment and source influence, enabling brands to detect emerging narratives before they compound. The platform also offers market intelligence features that map buying attributes to competitors and predict where preference shifts occur across market segments.
Target Audience
Primary customers are brand managers, marketing teams, and reputation professionals at companies that need to monitor and influence their visibility in AI search results and LLM-generated recommendations.
Features
- Automated reputation watch that monitors AI assistant responses across models including ChatGPT, Claude, Gemini, Grok, and Perplexity
- Answer diffing that compares current AI responses against previous versions to surface changes in confidence, source influence, and narrative direction
- Source stack analysis that ranks citations by influence (industry reports, market guides, community discussions, anonymous reviews)
- Narrative confidence scoring and trend forecasting to predict how AI-reported brand sentiment may evolve
- Market intelligence module tracking attribute importance, competitive positioning, and preference flow across segments
- GEO (Generative Engine Optimization) monitoring for how AI assistants cite and recommend brands