Heatseeker pairs always-on synthetic personas with live in-market experiments, both grounded in your first-party data, both calibrated against real behavior. Predict in minutes, prove in days.
Turn your own data into a customer you can question directly. Ask anything and get an answer in minutes, or run synthetic experiments at a fraction of the cost of fieldwork.
Every experiment sharpens the persona. Your team owns a compounding customer view and the evidence to act on it, not a deck that expires.
Built for a practice, not a project.
Shared workspaces, shared personas, one standard for how decisions get evidenced.

Real experiments with real audiences show what customers actually do, not what they say. Plan, design and launch live ads with Heatseeker AI; proof from the market in days.

“Which positioning wins the male skincare segment?” Plain language in.
Heatseeker proposes the audience and designs the experiment from your site & data.
Experiments run on Meta & LinkedIn, branded or under a lookalike brand, against real buyers.
The decision, the evidence behind it, and your next best experiment, ready to act on.
We measure revealed preference, the choices people actually make, not survey-stated intent. Here's the method, the sampling, and how confidence is calculated.
Ad variants go live to real audiences on Meta and LinkedIn. We measure revealed preference: the choices people actually make, not survey-stated intent.
Each result is tested for statistical significance before it informs a persona. A typical experiment gathers tens of thousands of impressions and hundreds to thousands of engaged responses.
Persona answers are grounded in that behavioral data, each carrying a confidence score derived from sample size, effect size, and consistency across experiments.
Every persona answer is fully traceable.
A bank was certain its brand should be built on human led customer support. Tested as a concept, it lost. In every market. To “set up an account in less than 10 minutes.”
The losing concept revealed the real driver: speed to value. Before the rebrand, not after.
Read what the losing concept revealed →Everything Heatseeker learns about your brand, kept and compounding, CRM, transactions, performance marketing and research, all in one view. The two engines feed it, and it makes both of them smarter. The longer you run, the sharper every answer gets.
Every prediction is checked against real outcomes; every answer scored for accuracy, up to 95% correlation to real behavior. Evidence trustworthy enough to act on.
Each experiment sharpens the next. Your context layer becomes a moat competitors can't buy off the shelf.
LLMs generate; Heatseeker validates. Through MCP, your assistant can ask Heatseeker to predict and prove, and get evidence back, not guesses. It's the difference between a fluent answer and AI market research you can trust.
Connect via MCP so your assistant validates positioning, pricing and product decisions against real behavior in the flow of work.
Live experiments run on the platforms your buyers are actually on, branded or under a lookalike brand.
CRM, transactions, loyalty and performance marketing flow into one compounding customer view.
Real ads are the instrument, the way we observe genuine behavior at scale. Every experiment is built around a strategic question, and the output is a decision: who your audience really is, what they value, and what they'll do.
Which promise actually moves your market.
Which capabilities customers will pay for.
What truly drives the decision to buy.
Where the next big bet should be placed.
The exact words that land in each market.
How Heatseeker fits each role, and the proof each one walks into the room with.
Bring a live question. We'll show you both engines working on it.
Book a 30-minute demo →