Our breakthrough approach combines artificial intelligence with proven consumer research methodology to deliver insights that match human accuracy—in minutes instead of weeks.
Consumer research is critical for product success, but the traditional approach has serious limitations:
Veriq uses advanced AI to simulate how real consumers think and respond—with validated accuracy:
Run professional-grade consumer research with no setup, training data, or panel recruitment
Upload your product concept with a clear description. Our platform understands complex products across any industry—from personal care to electronics to services.
Configure your target audience by selecting demographic parameters: age ranges, income levels, geographic locations, and more.
Set your desired sample size, from small exploratory tests to large validation studies.
Pro tip: Start with smaller samples to iterate quickly, then scale up for final validation.
Behind the scenes, our AI creates synthetic consumers that mirror your target demographics. Each AI consumer evaluates your product concept and provides natural, thoughtful responses about purchase intent.
Unlike traditional surveys that force numerical ratings, our approach captures nuanced reactions in conversational language—just like real consumers would explain their thinking.
These natural language responses are then transformed into standard research metrics using advanced semantic analysis, preserving the richness of the feedback while producing quantifiable, comparable data.
Review comprehensive purchase intent data presented in standard research formats: rating distributions, mean scores, demographic breakdowns, and concept rankings.
Go deeper with qualitative insights—read detailed explanations from synthetic consumers about why they would or wouldn't buy.
Export results for further analysis or share reports with stakeholders. Iterate rapidly by testing new variations based on insights, all within the same day.
Our methodology has been rigorously validated against real human survey data
Correlation Achievement
90%
Reaches 90% of human test-retest reliability ceiling—the gold standard benchmark in consumer research methodology
Validation Studies
57
Tested across 57 real consumer surveys conducted by a leading global corporation in personal care products
Human Responses
9,300+
Compared against over 9,300 actual human survey responses to validate accuracy and distribution matching
Concept ranking: When comparing multiple product concepts, our AI ranks them in the same order as human surveys 90% as reliably as humans rank themselves when tested twice. This means you can confidently identify winning concepts.
Distribution accuracy: The spread of purchase intent ratings (1-5 scale) closely matches human response patterns. This is critical for realistic demand forecasting and understanding market segmentation.
Demographic sensitivity: Our AI accurately captures how different consumer segments respond—age and income effects match human data, helping you target the right audiences.
Best use cases: Ideal for early-stage concept screening, rapid iteration, and pre-launch validation. Use AI to narrow down options quickly, then validate finalists with traditional research if needed.
Why our approach succeeds where other AI methods fall short
Traditional AI research tools simply ask for numerical ratings (1-5), but this produces unrealistic results—too many "3" responses and distributions that don't match how real people behave.
Veriq's breakthrough: We let AI respond in natural language first, just like humans do. When asked "How likely would you buy this product?", our synthetic consumers explain their thinking: "I'm somewhat interested. If it works well and isn't too expensive, I might give it a try."
Once we have natural language responses, we use advanced semantic analysis to understand their meaning. The AI's explanation is compared against reference statements that represent different levels of purchase intent.
For example, a response closer in meaning to "I'd definitely buy this" gets mapped to higher purchase intent, while one closer to "I'm not interested" maps to lower intent. This creates realistic probability distributions across the full 1-5 rating scale.
The result: Quantifiable metrics that match human survey patterns, plus rich qualitative feedback that explains the "why" behind each rating—something traditional surveys rarely capture.
Our AI doesn't just generate generic responses—it simulates how different consumer segments think and behave. Synthetic consumers representing different ages, income levels, and backgrounds respond differently to products, just like real people do.
Validation studies confirm that age-based preferences (younger vs. older consumers) and income-based considerations (budget sensitivity) emerge naturally in our AI responses, matching human data patterns.
Advantages that transform how you approach product development
From early ideation to pre-launch validation
Veriq achieves 90% of human test-retest reliability when ranking product concepts. This means our AI ranks concepts nearly as consistently as humans rank them when surveyed twice. Additionally, our response distributions match human patterns with over 85% similarity, validated across 57 real studies with 9,300+ human responses.
Veriq is ideal for rapid concept screening, iterative testing, and early-stage validation—use cases where speed and cost matter. For final go/no-go decisions on major product launches, many teams use Veriq to narrow down options, then validate top performers with traditional research. Think of it as a powerful complement that dramatically accelerates your research process.
Veriq works well for consumer products where AI has domain knowledge from public training data: personal care, food & beverage, household products, consumer electronics, apparel, and many services. Our validation studies focused on personal care, but the methodology extends to any category where consumers can evaluate concepts based on descriptions and images.
Age and income-based targeting are well-validated—synthetic consumers of different ages and income levels respond differently to products, matching human data patterns. Geographic and gender-based differences show good accuracy but with slightly more variance. The AI naturally captures how life stage and budget constraints influence purchase decisions.
You receive standard research metrics: purchase intent rating distributions (1-5 scale), mean scores, statistical significance testing, and demographic breakdowns. Plus, you get rich qualitative data—detailed explanations from each synthetic consumer about their reasoning, common themes, and key objections. All exportable for further analysis.
No. Veriq works zero-shot—meaning no training, fine-tuning, or historical data required. Just upload your concept and configure your target audience. The AI leverages broad knowledge from its training to simulate consumer behavior immediately. You can start testing products in minutes, not weeks.
Join innovative teams using Veriq to make faster, data-driven product decisions. Start with a free simulation—no credit card required.
Results in under 5 minutes • 90% accuracy • No panel recruitment needed