There’s a common trap in synthetic market research right now: fast tools, flimsy answers.

Many platforms promise insights in seconds, but they’re pulling from scraped web data or survey-trained bots. It’s quick, but not built on your market, your customers, or your decisions.

Heatseeker takes a different path.

We start with real. Real ads. Real channels. Real customer behavior. You run experiments in the wild and watch how people actually respond—what they click, what they skip, what they share. It’s insight grounded in action, not opinion.

Then we use those behavioral signals to train your own synthetic audiences. These aren’t generic personas or recycled internet archetypes. They’re tuned to how your segments behave, built off your test results, and updated continuously.

After just a few tests, your synthetic model starts to sharpen. It knows your brand, your buyers, your vertical. From there, it compounds.

Every real test makes the synthetic smarter. Every synthetic run helps you test sharper.

You get speed, scale, and signal—all working in a loop.

The result? You outlearn the market.

You don’t just guess faster. You build a system that gets better every week. And most importantly, it’s yours.

Not a shared model. Not a public chatbot anyone can use.

Your data. Your segments. Your edge.

That’s how you stay ahead.