AI in research:
what does
it add?
AI is fundamentally changing the speed and scale of market research. But technology isn’t a goal in itself. The real gain comes when you use AI deliberately to solve your specific challenge faster, more precisely or more intelligently.
Artificial intelligence is changing the way organisations gather, analyse and use insights. Not because the technology is interesting in itself, but because it opens up new ways to find answers faster, smarter and at greater scale.
Artificial intelligence is changing the way organisations gather, analyse and use insights. Not because the technology is interesting in itself, but because it opens up new ways to find answers faster, smarter and at greater scale.
That’s why we use AI to help organisations reach better insights faster, not to replace researchers.
Where AI makes the difference.
AI makes things possible that were unthinkable just a few years ago.
Such as running hundreds of qualitative conversations that probe further automatically. Querying existing research data again when new questions arise. Detecting sponsorship exposure across millions of media impressions. Or evaluating creative within seconds, based on proven effectiveness principles.
As a result, the role of research is shifting.
Less time goes into gathering and processing information. More time goes into understanding, interpreting and making decisions.
Our take on AI.
AI supports. People steer.
AI can spot patterns, speed up analysis and hold conversations. But the research question, interpretation and decision-making are still human work.
AI needs evidence.
A convincing answer isn’t automatically the right answer. That’s why we build our applications on real research data, proven methods and empirical evidence.
AI needs context.
Data only gains meaning once you understand what it says about a brand, a target audience or an organisation. That’s why we always combine technology with research expertise.
AI comes with responsibility.
Privacy, transparency and data security are never an afterthought. For every application, we take a critical look at how data is used and what role AI plays in the process.
Technology is only
half the story.
Every AI solution starts with a question.
Sometimes AI helps hold conversations. Sometimes it spots patterns. Sometimes it makes existing knowledge more accessible. And sometimes it analyses large volumes of content.
The technology varies. The goal stays the same. Reaching better insights, faster.
Our research specialist would be
happy to discuss this with you.
The future of insights is
both AI and human intelligence.
AI makes research faster, more scalable and more accessible. Researchers bring context, interpretation and decision-making.
Real value only comes from that combination.
That’s why we invest in more than new technology. Above all, we invest in making technology and research reinforce each other. That way, organisations can make better decisions, grow their brands faster and turn insights into action sooner.
How does Blauw use AI in market research?
Blauw uses AI in four targeted ways:
- With BlauwTalk, we conduct hundreds of qualitative conversations with automatic follow-up questions.
- With PersonaPanel, you can query existing research data again as new questions arise.
- With SponsWatch, we detect sponsorship exposure across millions of media impressions.
- With Creative Impact A(I)dvisor, you can assess your creative work against proven effectiveness principles.
Every application starts with a question. The technology varies, but the goal stays the same: reaching better insights, faster.
Will AI replace market researchers?
No. AI supports, people steer. AI can recognise patterns, speed up analysis and conduct conversations. The research question, the interpretation and the decision-making remain human work. Researchers bring context and perspective, and real value only emerges when AI and human intelligence come together.
How reliable are AI-generated insights?
A convincing answer isn’t automatically a correct one. That’s why Blauw builds its AI applications on real research data, proven methods and empirical evidence. We always combine technology with research expertise, because data only gains meaning once you understand what it says about a brand, target audience or organisation.
How is AI changing market research?
AI makes research faster, more scalable and more accessible. Less time goes into collecting and processing information, and more into understanding, interpreting and deciding. As a result, organisations can turn insights into action faster.
How does Blauw handle privacy and data security when using AI?
At Blauw, privacy, transparency and data security are built into every AI application. For each solution, we take a critical look at how data is used and what role AI plays in the process. Our applications are built on real research data and proven methods, and researchers remain responsible for the research question, the interpretation and the decision-making.
AI in practice.
BlauwTalk.
BlauwTalk runs AI-driven conversations that automatically probe, clarify and gather context. This lets you uncover the why behind attitudes, behaviour and choices, at scale.
Creative Impact A(I)dvisor.
Creative Impact A(I)dvisor analyses creative and links it to insights from award-winning research into creative effectiveness. Within seconds, you can see which elements contribute to impact and which could be improved.
SponsWatch.
SponsWatch uses AI vision technology to automatically detect, analyse and value sponsorship exposure across media and platforms. This shows the value sponsorship creates and the impact it has.
Persona
Panel.
Research always raises new questions. With PersonaPanel, you don’t have to go straight back into the field. You use AI to put new questions to a panel built from real survey data.
WHERE CAN AI TAKE YOUR RESEARCH FURTHER?
Start with the question you want to answer. That makes it clear where AI adds value and which combination of technology, data and research expertise you need.
