Test how real people would respond before you ship. Real insights in minutes, not weeks.
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Trusted by 100+ real founders
BuyerIQ ignores what people say and predicts what they'll do.
Identify your true customers with research-validated accuracy.
Stop wondering if people want this. Know exactly who to build for and what they'll pay before you write a single line of code.
Prioritize features that drive revenue. Identify high-intent segments and make data-driven decisions in minutes.
Validate founder assumptions in due diligence. Get independent, unbiased market analysis before cutting a check.
Figure out who buys, why they buy, and what to do about it.
Run your product through 100+ demographic segments. See who's most likely to pay, and why.
Upload your sales data. We'll find the patterns you're missing and tell you what to do next.
Get A/B test ideas before running real traffic. Know what to test first and what lift to expect.
We take your vague questions ("What should I launch?") and turn them into structured problems using real research methods—conjoint analysis, concept testing, A/B frameworks. The AI simulates how people make choices. Our system makes sure those simulations actually mean something.
You get signal, not noise.
Our 3-stage pipeline transforms raw product data into high-fidelity buyer intent models.
We ingest your URL to build context.
Synthetic buyers debate and score your product.
Reports, Personas, and Opportunities.
We use LLMs to simulate how people respond, then run those responses through proven economic models. The AI does the heavy lifting. The math keeps it honest.
"What should we launch?" or "Who's going to buy this?" We take fuzzy questions and make them testable.
The LLM plays out how different people would react—what they'd choose, what they'd pay, what they'd skip.
Econometric models separate real patterns from noise. What looks like a trend vs. what actually is one.
Not a 10-page report. A clear recommendation backed by data, not vibes.
Say you're a marketer at a drinks company. You start with a broad question. We run conjoint analysis to figure out what actually drives purchases—flavor, price, packaging, health claims.
Then we test across hundreds of product combinations. The model tells you whether someone picking "mango" today is a health buyer or a flavor buyer—and that changes your whole strategy.
One workflow instead of six different tools. No need to hire a research team or wait three months for answers.
Anyone can plug into an LLM API. The hard part is making sure the outputs actually mean something. We use peer-reviewed methodology to keep the AI honest.
Our approach is based on "LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation" (2024)—the paper that proved AI can predict buying behavior as well as surveys do.
How closely our predictions match real consumer behavior. That's research-grade accuracy.
Actual shopping decisions we used to test and calibrate the model. Not synthetic data.
Different demographic groups we model per analysis. Age, income, gender, and more.
Most AI tools just ask an LLM and give you whatever it says. We put guard rails on it. The AI generates responses, but we validate those responses against statistical models that separate signal from noise.
Everything you need to validate your market. One simple plan.
Test the waters with basic insights and one analysis per day.
Perfect for validating your first idea with deep market data.
For serious founders aiming for PMF with unlimited validation.
Trusted by 100+ founders for pre-seed validation and market analysis.
Run your first analysis in 30 seconds. No credit card, no sales calls, no waiting.
Try it free