Gather Synthetic runs AI-moderated interviews at scale using synthetic personas — delivering brand, messaging, competitive, and pricing insights without recruiting a single human respondent.
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.
“Message validation and testing for netapp”
“OpenAI vs. Anthropic vs. Google: how do enterprise AI buyers actually perceive the model providers?”
“What makes B2B thought leadership worth reading — and why does most of it get ignored?”
“Opening (Context Setting) Tell me about your current data infrastructure environment. What does your storage footprint look like today — on-prem, cloud, hybrid? What's your biggest infrastructure headache right now? What keeps you up at night? When you think about data infrastructure vendors, who comes to mind first and why? Unaided Brand Perception What comes to mind when you hear "NetApp"? (Probe: modern vs. legacy, innovative vs. reliable, leader vs. follower) If you had to describe NetApp's positioning in one sentence to a peer, what would you say? How does NetApp compare in your mind to Dell, Pure Storage, and HPE? Message Testing (rotate order across respondents) For each message: Read the statement. On a scale of 1–10, how compelling is this to you? What specifically about this message resonates — or doesn't? Does this feel differentiated from what you hear from other storage vendors, or does it sound like something anyone could say? Does this align with a real problem you're actively trying to solve? If you saw this on a vendor's website, would it make you want to learn more or take a meeting? Why or why not? Competitive Differentiation Which of the messages we discussed, if any, would actually make you reconsider your current vendor or shortlist? Is there anything NetApp could say that none of their competitors can credibly claim? What's the #1 thing you wish a data infrastructure vendor would just solve for you that nobody is talking about? AI-Specific Probe (Persona 4 priority, but ask all) How real is "AI-ready infrastructure" as a buying criterion for you today vs. 12 months ago? When a vendor says they're "the data backbone for AI" — does that mean something concrete to you, or does it feel like buzzword marketing? What would actually convince you a storage vendor understands AI workloads? Closing If NetApp's marketing team were in this room, what's the one thing you'd tell them to change about how they talk about themselves? What would make you champion NetApp internally at your organization? Analysis Output Requested: Message resonance ranking (1–6) with mean scores by persona Verbatim highlight reel of strongest positive and negative reactions per message Competitive differentiation gaps — where NetApp's messaging overlaps with competitor claims Unaided vs. aided brand perception delta Net new messaging opportunities surfaced from "what's missing" responses Persona-level heatmap of which messages land strongest with which buyer type”
“What do consumers actually think of Amazon's brand today — trusted utility or monopoly anxiety?”
“How do consumers evaluate the Peloton brand post-pandemic — comeback story or permanently damaged?”
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.
No recruiting. No screener. No waiting. Pick a research question and have a report in under a minute.
Need real human respondents? Try Gather Primary Research →