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Runs live ad experiments on Meta and LinkedIn against synthetic customer personas to validate messaging before a full launch.
Heatseeker combines AI-modeled synthetic customer personas with real, live-market ad experiments on Meta and LinkedIn, so a messaging or pricing decision gets checked against actual audience behavior rather than a survey response. The synthetic personas are built from a company's own first-party data and are recalibrated against real campaign results, which the company claims reaches up to 95% accuracy. It pulls CRM, transaction, and performance data into a single customer-context layer, plugs into Claude, ChatGPT, and Gemini via MCP for querying that data conversationally, and carries SOC2 Type II and SAML SSO for enterprise buyers. Heatseeker operates as both a US entity, Heatseeker, Inc. in San Francisco, and an Australian one, Heatseeker Technologies Pty Ltd, in Gold Coast and Sydney.
Cheapest entry point is a one-off $29K, 3-month engagement with 50 credits; annual plans start at $55K/year for 100 credits, scaling to $185K/year, with custom Enterprise pricing above that.
Use tool ↗Built for teams with real ad budgets who want messaging and pricing decisions validated against live campaign behavior rather than a focus group, and the CRM-plus-experiment data layer is a genuinely different approach than survey tools. The catch is pricing starts at five figures, so this is squarely an enterprise marketing-ops purchase, not something a small team evaluates casually.
Watch out: Credits cover both experiment costs and media spend, so budget for the ad spend itself on top of the platform fee.
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