Heatseeker

Heatseeker is a customer-intelligence platform for marketing and product teams who want to test messaging, pricing, and go-to-market decisions against real buyer behavior instead of opinion-based research. It combines two approaches: always-on synthetic personas, built by converting a company's first-party customer data into a queryable model that can answer business questions in minutes, and live in-market experiments run with real audiences on Meta and LinkedIn, including a stealth mode that tests messaging without attaching a brand name. A customer context layer pulls together CRM, transaction, performance-marketing, and research data to keep the synthetic personas current, and Heatseeker calibrates its predictions against real outcomes, reporting a 95% correlation to actual customer behavior. The platform connects to Claude, Gemini, and GPT through the Model Context Protocol, and is SOC 2 Type II certified with AES-256 encryption; the company states customer data is never used to train third-party models. Heatseeker targets CMOs, performance marketers, and product and insights teams at enterprise companies, and lists customers including L'Oréal, Cisco, and DoorDash. One limitation: synthetic-persona predictions are ultimately a model of customer behavior, so the platform leans on live in-market tests to validate rather than replace them.