Heatseeker

Heatseeker is an AI-powered market testing platform designed for enterprises to validate their go-to-market strategies through live behavioral experiments rather than traditional surveys. It replaces guesswork with real-time data, allowing businesses to test messaging, pricing, and product positioning before launching. The platform integrates directly inside popular large language models like Claude, Gemini, and GPT via the Model Context Protocol (MCP), enabling product managers, marketers, and executives to keep their target customers “in the room” during every decision-making process. Users begin by defining their target audience within the platform—selecting demographics, industries, or custom criteria—and then launch a live experiment that presents potential customers with realistic choices, such as which pricing tier they would actually purchase or which product feature they would prioritize. The platform then collects behavioral data from these simulated market interactions, achieving a claimed 95% predictive accuracy regarding how real customers will behave in the wild. Results appear within minutes, not weeks, allowing teams to iterate rapidly: they can adjust the experiment parameters, test alternative value propositions, or refine pricing structures based on actual user actions, not stated preferences. The platform is particularly aimed at enterprise CMOs and product leaders who face high-stakes decisions where a wrong move can cost millions in wasted marketing spend or missed revenue opportunities. Heatseeker helps them avoid the “guessing game” by providing concrete, evidence-based answers to questions like “Will customers pay for this premium feature?” or “Which call-to-action generates higher conversion?” Because the experiments use real behavioral signals