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Turn years of research expertise into reusable AI audiences.

Build reusable synthetic audiences from your research, methodology, segments, and accumulated expertise. Give clients access to pre- and post-survey exploration with Minds while extending, rather than replacing, your core research offering.

From questions to decisions.

Explore hypotheses, compare audiences and gather visual feedback to sharpen your research questions and plan your next study.

Q1Scale15
How likely is this video to stop you from scrolling?
How likely is this video to stop you from scrolling?
  • 1
  • 2
  • 3
  • 4
  • 5
Average
3.7
Q2Multiselect
Which issues create the most avoidable friction during a typical shift?
  • Incomplete shift handovers57%
  • Duplicate documentation45%
  • Fragmented team communication40%
  • Difficult or outdated systems35%
Leading response
Incomplete shift handovers57%
Q3Qualitative
What is the hardest part of running your business that customers never see?

Unpredictable pricing

40%

The repair is often the easy part. The difficult part is pricing an unpredictable job before you know what you will find behind the wall.

Mina ParkIndependent electrical contractor

Materials and scheduling

35%

One missing part can derail the whole day. Customers rarely see the supplier calls, collection runs and schedule changes needed to keep several jobs moving.

Ravi MehtaPainting business owner

Customer communication

25%

Keeping every customer informed while I am moving between sites takes almost as much time as the work itself.

Elena RossiIndependent carpenter
Q4Categorical
Which ramen flavor would you choose first?
Spicy chicken
Beef
Seafood
Vegetable
Q5CategoricalA/B test
Which visual makes you more likely to try this drink?
Yellow concept: Yellow kombucha can against a concrete background
Yellow concept
White concept: White kombucha can against a concrete background
White concept

The Sinus-Milieus embody decades of research into the ways people live in our society. Together with Minds, we have transformed this knowledge into Milieu-Minds, making it directly usable as synthetic target audiences.

Jan Hecht · Research Director, SINUS-Institut

We can finally run qualitative research at scale, without a high-cost survey absorbing the team's capacity for weeks. We ask a question and hear back from the audience in minutes, and the research we already invest in becomes far more valuable.

Yvonne Piu · Chief Marketing Officer, KALDEWEI

For us as an agency, this fundamentally changes how we work with our clients. We can test ideas with different target audiences in minutes and gather rapid feedback on implementation approaches. It feels like having a dedicated panel for every client.

Pami O. Malat · Managing Director, Klubhaus

What appealed to us was the strong market research foundation behind the approach. The panels are benchmarked against audience data, which gives us confidence that the responses reflect the perspectives of a defined target group rather than pure guesswork. It offers a structured way to explore audience insights and has the potential to make research at a broader scale more accessible and efficient.

David Hutzel · Online Marketing Manager, Suhrkamp Verlag

How we validate our Results

We compare synthetic audience responses with real survey data to measure how closely they reflect real-world response patterns. Minds does not see the real survey results while generating its answers, and its responses are finalized before the comparison begins. This lets us measure where the results match—and where they differ.

Approximation to real survey distributions

(e.g. GSS, ANES, CES and PISA)

93.99% similarity to real survey results

301 Minds answered a UK Food Standards Agency youth survey, and their combined response patterns closely matched the published data.

Closer to how real people answered

Compared with standard AI prompting, Minds was preferred 59% more often and matched held-back interview answers 68% more closely.

Public Audiences

Ready-to-use synthetic Audiences, built with personas, demographics, behavioral context, and visible grounding so you can start a Study without rebuilding the sample.

Minds, where you work.

Bring files and designs into your research, use Minds from your AI assistant, and connect results to your reporting tools. Availability depends on your plan and setup.

How an Audience gets built.

  1. 01

    You describe your audience

    Enter a prompt and optionally add files or other data for context.

  2. 02

    Sources are researched and verified

    The web is searched for relevant, credible sources to ground the audience.

  3. 03

    Distributions are extracted

    The evidence is translated into demographic, behavioral, and attitudinal distributions.

  4. 04

    You fine-tune and confirm

    Review the proposed distributions, make adjustments, and confirm your audience.

  5. 05

    Individual Minds are created

    Each Mind is built using the confirmed distributions, collected sources, and relevant public social-media signals.

  6. 06

    Your audience is ready

    You can now run studies, evaluate ideas, and compare concepts.

Questions teams like yours ask

The practical questions research institutes and data partners usually ask before connecting their data or distribution model.

How can we bring our data into Minds?

Use research files, questionnaires, respondent data, links and written Audience definitions, then review the proposed distributions before creation.

Can we publish an Audience for other teams?

Yes. Eligible teams can publish an Audience as a Marketplace add-on and manage its plan-specific access and pricing.