Heatseeker AI
Heatseeker (Sydney, Australia) · Business
Heatseeker AI is a market research platform that runs live market experiments with real buyers, then builds synthetic personas from responses, so teams can test ideas before spending media budget.
About Heatseeker AI
What Is Heatseeker AI
Heatseeker AI comes from a Sydney company founded in 2023, and it targets a specific weakness in traditional research. Surveys and panels ask people what they think they'd do, and the answers often don't match what they do at checkout. Heatseeker reverses the order. Competing messages go into market as ads on Instagram, TikTok, Facebook or LinkedIn, the response from a defined audience gets measured, and a customer model learns from that evidence.
The output is a set of synthetic personas your team can question in plain language. Ask one which promise lands better, or send a single question to hundreds of personas at once and get a quantified read in minutes. Each prediction is meant to be checked against the next live experiment, so the model corrects itself instead of drifting away from reality.
The limits deserve equal space. This is enterprise software with enterprise pricing: the cheapest entry is a $29,000 three-month project, and annual plans start at $55,000. It also reports what people responded to, not why, and an ad response isn't a purchase. Heatseeker states that caveat itself. Solo founders and small marketing teams are priced out.
Getting Started
- Book a demo and bring one live decision, such as a product claim or a campaign direction.
- Define the audience by market, interests and behaviors that describe the buyers you want to reach.
- Write two or more competing hypotheses as ad variants, or let Heatseeker AI guide the audience and experiment design.
- Run the experiment in market. Media cost is included, and you can connect your own Meta, LinkedIn or TikTok accounts instead.
- Read the ranked variants with significance testing, then feed the winner into the persona model and test the next question.
Product Information
A quick look at Heatseeker AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Brand and marketing leads
- Insights and research teams
- Product and growth teams
Tasks
- Message testing
- Creative selection
- Positioning research
Scenarios
- A launch where the team can't agree on the lead benefit
- A quarterly planning fight over budget
- An always-on brand team
Key features
Live Market Experiments With Real Buyers
Heatseeker runs your competing hypotheses as real ads in front of a defined audience rather than a survey panel. Variants go live on Instagram, TikTok, Facebook or LinkedIn, media cost is bundled into the plan, and the observed response becomes the evidence. You can also run the media through your own ad accounts if procurement prefers it.
Synthetic Personas Built From Response Data
A persona here isn't a clever prompt wrapped around a general model. It's a customer model trained on how your audience actually reacted, which you can question in normal language and get an answer in seconds. The site is explicit that personas show what people responded to, not why, so treat them as a fast filter before a real test.
Synthetic Panels for Quick Quantified Reads
One question can go to hundreds of personas at once, which turns a hunch into a number before any media is spent. Base plans cover three to five segments, Pro covers five to ten, and Enterprise runs whole-market simulations across 1,000 to 10,000 personas. That spread is the main reason teams pick a higher plan.
Variant Ranking With Significance Testing
Every experiment ends with variants ranked and significance tested, and each figure links back to the experiment that produced it. This is the part finance tends to like, because a recommendation arrives with its own audit trail instead of a slide with a percentage on it.
Heatseeker Inside Claude, ChatGPT and Copilot
Pro and Enterprise plans put the customer model inside the assistant your team already uses, so someone can ask a question in Claude or ChatGPT without opening another tab. Enterprise adds Microsoft Copilot and an enterprise MCP connector for your own AI systems, which is how the product reaches agent workflows.
Market Scans That Track What Changed
Instead of waiting for someone to commission a study, Heatseeker watches your market and reports movement. Pro plans get a weekly scan, Enterprise gets two a week, and the point is to keep the persona model from going stale between big decisions.
Pros and cons
Pros
- Evidence comes from real ad response, not stated intent, so marketing validation becomes a measurement step instead of a debate.
- Media cost sits inside the plan, so the price you see covers running the experiments.
- Unlimited seats on every annual plan, which suits brand, insights and growth teams sharing one customer model.
- SOC 2 Type II, GDPR alignment and a commitment that your data never trains anyone else's model.
Cons
- No free plan and no self-serve tier. The entry point is a $29,000 project, so small teams can't test the product cheaply.
- Response data tells you what drew attention, not why, and attention doesn't guarantee a sale. Follow-up work still falls on your team.
- Annual contracts with bundled credits mean overbuying is easy if your experiment cadence is lower than planned.
Frequently asked questions
It runs live market experiments by putting competing marketing messages in front of real buyers as ads, measures which one draws the stronger response, and trains synthetic personas on that evidence. Teams then use those personas to explore the next question before committing budget.
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