OpinioAI
OpinioAI is an AI-powered research platform that uses Large Language Models to simulate customer feedback and generate synthetic data for market, product, and academic research. With Synthetic Persona
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What is OpinioAI?
OpinioAI is an AI-powered research platform that generates synthetic customer feedback and market data using Large Language Models. It's designed for market researchers, product teams, and academics who need customer insights quickly without conducting traditional surveys or focus groups. The tool lets you create artificial personas, run AI-moderated focus groups, and blend synthetic data with real responses from your own datasets. You can test marketing ideas, explore new customer segments, and analyse feedback at a fraction of the cost and time of conventional research methods. The platform offers 20 free credits to get started.
Key Features
Synthetic Persona Builder
Create detailed fictional customer profiles to represent specific market segments and demographics
AI-moderated focus groups
Run simulated group discussions with synthetic personas to gather feedback on products or ideas
Data upload and analysis
Import your own customer datasets for the AI to analyse alongside synthetic responses
Marketing creative testing
Test how different personas react to your marketing materials and messaging
Configurable synthetic segments
Generate feedback from custom customer groups defined by your research parameters
Hybrid data approach
Combine real customer data with synthetic insights for more complete research
Pros & Cons
Advantages
- Much faster than traditional market research; get insights in hours rather than weeks
- Significantly cheaper than running physical focus groups or large-scale surveys
- Free starter credits make it accessible to try without upfront investment
- Flexible for exploring new markets or testing ideas before committing to full research
- Works with your own data, so insights can be tailored to your specific customer base
Limitations
- Synthetic data reflects patterns in training data and may not capture truly novel or edge-case customer behaviours
- Results should ideally be validated with real customer feedback before making major business decisions
- Understanding LLM limitations is important; the tool works best as a starting point rather than sole research method
Use Cases
Product teams testing new feature ideas with target customer personas before development
Marketing departments evaluating campaign concepts across different demographic segments
Market researchers exploring demand in new geographic regions or customer segments
Academics gathering synthetic data for research when real survey respondents are hard to access
Businesses conducting quick competitive analysis by simulating how customers perceive rival products