Frequently Asked Questions

Short answers to the questions teams ask before they sign up. For deeper walk-throughs, the Guide and Blog cover individual topics in depth. New to the method itself? Start with our primer on synthetic audience research.

Browse by topic

Synthetic Research Basics

What synthetic research is, how it works, where it fits, and where it doesn't replace real humans.

Silicon Sampling

The academic backbone of AI persona research. What silicon sampling is, where the method came from, and how accurate it is.

Panels and Methodology

Customer, client, user, and expert panels. How they're built, how big they should be, how to ask them questions.

Research Methods

AI focus groups, surveys, interviews, segmentation, concept testing, brand tracking, journey mapping.

AI Customer Simulation

How to simulate customers with AI in 2026: methods, platforms, accuracy, limits, what to test.

Comparisons

Minds vs ChatGPT, vs traditional research, vs SparkToro, vs HubSpot, vs other AI persona tools.

Use Cases and Industries

Marketing teams, agencies, product teams, small business owners, B2B sales, finance, healthcare, retail.

Pricing, Accuracy, and GDPR

What it costs, what accuracy means, how data privacy works, and how to get started.

Search-led playbooks

Audience Simulation Platforms for Product Launch Testing

How to pre-test product launches, positioning, claims, and objections before spending on real panels or paid media.

Best Concept Testing Platforms

Which platform category fits product concepts, campaigns, UX prototypes, B2B messages, and real-respondent validation.

Concept Testing Questions

The questions to ask before a product launch, campaign, packaging update, feature build, or positioning decision.

Fast Concept Testing

Same-day concept testing workflow for teams that need directional insight before committing budget.

Message Testing Tools

How to test landing-page copy, B2B positioning, campaign claims, ads, and segment-specific sales narratives.

AI Focus Group Software

How AI focus group software differs from online focus groups, transcript analysis, and synthetic customer panels.

B2B Buyer Persona Research

How to map buying committees, persona questions, objections, and AI-assisted B2B buyer research.

HubSpot Make My Persona Alternatives

When HubSpot's static persona builder is enough, and when to use an interactive AI persona platform instead.

AI Buyer Simulation

How to simulate buyer objections, sales narratives, pricing reactions, and B2B buying committee roles.

Client Insight Platform

What a client insight platform is, how agencies use one, and where AI panels fit.

Fast Survey Panel and 24-Hour Research

When to use fast real respondent panels, when AI panels are faster, and how to combine both.

AI Market Research Tools by Use Case

Which AI market research tools fit surveys, social listening, concept testing, focus groups, and persona simulation.

Research workflow sprint

Synthetic Consumers Before Conjoint Analysis

How to use synthetic consumers to sharpen attributes, levels, claims, segments, and survey language before building a real conjoint study.

Pretest a Conjoint Questionnaire with AI

How to catch confusing attributes, unrealistic levels, biased wording, and missing objections before respondent fieldwork.

From Social Listening to Survey Hypotheses

How to turn Brand24-style social listening exports into cleaner hypotheses for synthetic panels and real surveys.

MBA Product Launch Research Plan

A practical business-school product launch research workflow using synthetic consumers, surveys, segmentation, and conjoint prep.

AI Consumer Research for Craft Beer Positioning

How breweries can test positioning, beer garden concepts, Helles drinkers, packaging language, and market-entry assumptions before fieldwork.

Extended keyword sprint

Conjoint Analysis Attributes and Levels

How to choose, narrow, and pre-test conjoint attributes, levels, and wording with AI-powered audience simulation.

Prepare a Conjointly Study with AI

How to use Minds before Conjointly to sharpen hypotheses, stimuli, survey wording, and final respondent study design.

Synthetic Consumers for Hypothesis Generation

How to use synthetic consumers to discover objections, customer vocabulary, and better survey questions before fieldwork.

AI Research for MBA Marketing Management Projects

A business-school-friendly workflow for product launch research, synthetic panels, surveys, and final validation.

Beer Garden Concept Testing with AI Consumers

How breweries and hospitality teams can test beer garden concepts, menu language, Helles drinkers, locals, and tourists.

Turn Social Listening into Conjoint Hypotheses

How to turn Brand24-style exports and social listening data into survey-ready conjoint attributes, levels, and hypotheses.

Top 7 questions

If you only read one section, this is it. The seven questions we get on every sales call.

What is Minds?

Minds is a simulation platform that builds scientifically validated digital brains of real-world personas (customers, experts, target segments) and runs them as panels. You ask a question once, the panel answers in parallel, and you get aggregated, structured insight in minutes instead of the 3 to 4 weeks traditional research takes.

How accurate is Minds?

Minds reports 80 to 95 percent accuracy against historical human data benchmarks, depending on the persona and use case. Each Mind is built by running roughly 100x deeper public-web research than a standalone LLM query, then running that evidence through real psychological models (personality, values, motivations, buying behavior). Most other AI persona platforms do not publish public accuracy benchmarks against real human responses.

How is Minds different from ChatGPT?

ChatGPT gives you a single plausible guess from a generic model. A Mind is grounded in deep public-web research about the specific persona and structured through psychological models. Panels also aggregate responses across 8, 15, or 100 Minds at once, so you see a distribution of opinions and not just one.

A simpler way to put it: ChatGPT gives you "a smart-sounding answer." Minds gives you "what your actual target segment would say."

How fast can I get an answer?

A new Mind is ready in about 30 seconds. A panel of 15 to 100 Minds returns aggregated answers in a few minutes. Same-day insight for decisions that traditionally take 3 to 4 weeks of fielding, recruiting, and analysis.

How much does Minds cost?

Free to try, no credit card. Paid plans:

• Free (0 EUR per month): individuals, light usage
• Premium (39 EUR per month): individuals, full feature access
• Team (79 EUR per seat/month, 2-seat minimum): collaborative panels
• Enterprise: custom pricing, unlimited panels, custom personas, SSO, EU data residency, DPA

Live pricing at getminds.ai/#pricing.

Is Minds GDPR compliant?

Yes. Minds is built in Berlin and SF, GDPR-native, with EU data residency available on Enterprise. We sign DPAs, publish a TOM document, and list our subprocessors at /legal/subprocessors.

Does Minds replace real customer research?

No. Minds replaces a specific subset of research: the rapid, exploratory, "we need a directional answer this week" work. Use it for screening, pre-testing, hypothesis generation, and speed. For high-stakes regulatory decisions, longitudinal tracking of real customer cohorts, or anything where real-world purchase behavior is the metric, you still need real humans. Most teams use Minds to triage which questions deserve a real-human study and which don't.

Still have a question?

Email [email protected] or book a 15-minute call. For technical reference, see API docs and MCP server.