Upload your survey to get personas built from real respondent clusters (80%). Each one is enriched with Reddit voice and benchmarks matched to its vertical (20%). Add a typed persona on top for audiences your data didn't cover. Honest confidence scoring on every output.
Traditional research takes weeks and costs tens of thousands of dollars. Gather Synthetic uses AI personas — each with distinct demographics, psychographics, and buying behaviors — to simulate how real audiences would respond to your research questions.
The output is a structured research report: quantitative scores, verbatim synthetic quotes, confidence levels, and a headline finding you can share or act on immediately.
Choose from 14 study types — messaging tests, brand health, competitive analysis, pricing research, and more. Describe what you want to learn in plain English.
8 synthetic personas respond — each with distinct demographics, psychographics, and decision criteria tailored to your audience. B2B or B2C, it just works.
Quantitative scores, verbatim quotes, confidence levels, and a headline insight — formatted like a real research report, ready in under 60 seconds.
Real research questions run on real topics. Click any to read the full report.
“How do health-conscious consumers perceive Olipop vs. Poppi — and what's really driving the better-for-you soda boom?”
“How do health-conscious consumers perceive Magic Spoon vs. classic cereal brands — has the "high-protein everything" trend stuck?”
“What do revenue leaders actually think about AI SDRs — promise or pipeline risk?”
“How do consumers perceive Liquid I.V. vs. Gatorade vs. Nuun — and what does electrolyte branding actually signal?”
“Which LLMs do engineers actually trust most — and why?”
“switching from agencies to AI research platforms”
Synthetic pre-research uses AI-powered buyer personas to simulate how real audience segments would respond to your research questions. You get directional signal in minutes instead of weeks, without recruiting real respondents. It's designed to sharpen your hypotheses and focus real fieldwork, not replace it.
Synthetic research is directional, not statistically representative. Confidence scores reflect internal AI consistency, not statistical significance. Quantitative projections carry a ±15–20% margin of error. Treat findings as educated hypotheses to validate — not as definitive measurements. For statistically valid research, use Gather's real AI-moderated interviews with actual respondents at gatherhq.com.
Gather Synthetic supports 14 study types: Brand Perception, Product Feedback, Concept Testing, Competitive Intelligence, CX/NPS Deep Dive, Messaging & Claims Testing, Win/Loss Analysis, Market Segmentation, Pricing Research, Ad & Creative Testing, Customer Journey Mapping, Feature Prioritization, Churn & Retention Analysis, and Audience Discovery.
The first 5 synthetic interviews are completely free — no credit card required. After that, B2C audience interviews cost $0.50 each and B2B interviews cost $5.00 each. There is no subscription.
No. All reports on this platform are independent AI synthetic research studies conducted by Gather. They are not affiliated with, commissioned by, sponsored by, or endorsed by any of the brands, companies, or organizations mentioned. Brand names appear only as the subject of analysis.
Yes. You can attach .txt, .md, .csv, or .json files — such as past research, briefs, product specs, or competitive data — and the AI will reference them during interviews to make responses more grounded and specific to your context.
Drop your survey files. We cluster the real respondents, ground each archetype in public voice, and surface honest confidence scores on every persona. Optionally type a custom audience on top for segments your data didn't cover.
Need real human respondents? Try Gather Primary Research →