
Stop launching blind.
Test messages, concepts and pricing. Start fast or tailor your study, with the answers and reasoning behind every result.

No research project needed: from brief to audience in five steps
- 01
You describe your audience
Enter a prompt and optionally add files or other data for context. Include the market, interests, or habits that matter to your research.Enter a prompt and optionally add files or other data for context.
- 02
Sources are researched and verified
The web is searched for relevant, credible sources to ground the audience. These findings inform the audience characteristics and proposed distributions.The web is searched for relevant, credible sources to ground the audience.
- 03
Distributions are extracted
The evidence is translated into demographic, behavioral, and attitudinal distributions. They show how characteristics such as age, interests, and buying habits vary within the audience.The evidence is translated into demographic, behavioral, and attitudinal distributions.
- 04
Individual Minds are created
Each Mind is built using the confirmed distributions, collected sources, and relevant public social-media signals. Together, these profiles represent different perspectives within your audience.Each Mind is built using the confirmed distributions, collected sources, and relevant public social-media signals.
- 05
Your audience is ready
You can now run studies, evaluate ideas, and compare concepts. Reuse the same audience for follow-up research and explore how different segments respond.You can now run studies, evaluate ideas, and compare concepts.
Which best describes you?
Pick your role and see what Minds does for teams like yours.
Brands and corporates
Build evidence your management will accept, in the time you actually have.
Agencies
Walk into the pitch with evidence your client won’t argue with.
Research Partners
Make more research affordable for your clients, under your own name.
Forecasts tested against published survey results
Minds Mosaic forecasts are locked before results are public. The forecast ledger scores every eligible resolved forecast against published results, including misses.
93.5% Distribution overlap with published survey answers
All 95 questions across 23 scored surveys · as of Nov 12, 2026 · overlap = 1 − TVD
97.3% distribution overlap on forecasts locked before planned fieldwork
28 questions across 8 surveys, scored against published results.
1.83 percentage points average miss per answer option
Across all 95 full-population questions; forecast–result correlation: 0.947.
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.
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.
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.
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.
Research shouldn’t live in another tool I have to open. With Minds over MCP, I can bring real audience perspectives directly into the AI workflows I already use every day. It turns research into something I can access and use continuously while I’m working on a project.
I use Minds to optimize the Meta ads I run for my clients and have improved conversion rates by 30%. Since I work with many different types of clients, Minds gives me a fast and easy way to understand each specific audience and create better-performing ads for them.
Before, we had strong ideas for what the Mae experience could be, but validating them meant relying on instinct and fragmented feedback. Now we can stress-test concepts early with both our corporate sponsors and the people who actually use Mae. It gives us the confidence to move faster, align stakeholders, and build experiences we know will resonate.
Public Audiences
Skip the setup: start with ready-made, grounded audiences.
Research inside the tools you already use
Ask your audience from ChatGPT, Claude or your own files, with no new tool to learn. Availability depends on your plan and setup.







