Frequently Asked Questions

BuyerIQ uses AI to analyze your product and predict purchase intent across 100+ demographic segments. Here's how:

1. Input: Connect your website URL or describe your product in Brainstorm Mode (200-500 characters)
2. Analysis: Our AI crawler extracts product information, pricing, and competitive positioning
3. Prediction: Using research-validated models trained on 9,300 real purchase decisions, we predict who will buy
4. Results: Get demographic breakdowns, TAM/SAM/SOM sizing, and go-to-market recommendations in 30 seconds

The methodology achieves 90% correlation accuracy and is based on peer-reviewed research published in "LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation."

BuyerIQ achieves 90% correlation accuracy in predicting purchase intent, based on peer-reviewed research validating that large language models can predict real purchase decisions.

The methodology was tested against 9,300 actual purchase decisions across diverse demographics and product categories. Key validation points:

• 90% correlation between AI predictions and real human purchase behavior
• Demographic factors (age, income, education, gender, ethnicity) all significantly correlate with purchase intent
• More accurate than survey data, which suffers from 30-40% stated preference overstatement bias
• Semantic similarity analysis outperforms simple keyword matching

Learn more about our methodology →

BuyerIQ works for both B2C and B2B products across any price point:

• Pre-seed founders: Validate ideas before writing code. Get investor-ready TAM/SAM/SOM numbers.
• Product managers: Analyze new feature ideas and prioritize roadmap based on segment purchase intent.
• Growth teams: Identify underserved market segments and refine positioning.
• Investors & advisors: Validate founder assumptions during due diligence.
• Marketing teams: Understand demographic profiles, income levels, and channel preferences.

For B2B products, our analysis identifies decision-maker demographics, company size targets, budget ranges, and purchase motivations by role (CTO, VP Engineering, etc.).

Yes - this is actually the best time to use BuyerIQ. Many founders waste months building products nobody wants.

Use Brainstorm Mode to describe your product idea in 200-500 characters including:

• What problem it solves
• Key features or value propositions
• Rough pricing or business model
• Target market assumptions (which we'll validate or challenge)

BuyerIQ will tell you who has purchase intent for your idea, what they'd pay, and how to reach them - all before you spend $50K on development.

Every BuyerIQ analysis includes:

All insights include detailed reasoning explaining why each demographic segment will or won't buy, what motivates them, and how to message your product.

Surveys suffer from stated preference bias - people overstate purchase intent by 30-40% because they're answering hypothetically, not making real purchase decisions.

BuyerIQ predicts actual purchase intent using validated behavioral models trained on 9,300 real purchase decisions, not self-reported survey responses.

Key differences:

• Accuracy: 90% correlation vs 30-40% overstatement bias
• Speed: 30 seconds vs 1-2 weeks for survey responses
• Cost: $39/month vs $100-$1,000 for respondent recruitment
• Scale: 100+ segments analyzed vs 50-200 survey respondents

Full comparison: BuyerIQ vs Surveys →

BuyerIQ costs $39/month with 5 analyses per day (150+ per month). Cancel anytime.

This includes unlimited access to all features:

• 5 deep analyses per day (150+ per month)
• Powered by Anthropic Sonnet 4.5 (latest model)
• 100+ demographic segments per analysis
• TAM/SAM/SOM market sizing
• Competitive intelligence
• Analysis history & saved reports
• PDF and raw data exports
• Grandfathered access to all new features

View full pricing details →

Yes! BuyerIQ is excellent for competitive intelligence. Simply enter any competitor's website URL to analyze:

• Target market: Who are they actually selling to?
• Underserved segments: Which demographics are they missing?
• Pricing positioning: How does their price point affect purchase intent?
• Market gaps: What features or use cases have high purchase intent but aren't addressed?

With 5 analyses per day, you can compare your product against multiple competitors and iterate on positioning to find your differentiation angle.