AI is transforming how insights are generated but for many buyers, it’s still hard to tell what’s real and what’s repackaged hype.

To support better decisions in this fast-moving space, ESOMAR published 20 essential questions that help buyers evaluate the quality, ethics, and transparency of AI-based research providers.

Read the original ESOMAR guide →

At Lakmoos, we’ve built our company around these exact principles. As an AI-native research provider, we don’t just use AI to automate processes, we replace traditional panels with AI respondents: synthetic populations trained to simulate human decision-making with real behavioral data. Alongside them, we deploy AI research agents to support everything from desk research to reporting. Together, these tools form a system designed to deliver insights that are faster, more secure, and more scalable, without compromising on transparency or validity.

This white paper answers all 20 ESOMAR questions in detail. Not with vague claims, but with clear methods, validation processes, and the thinking behind our technology.

We believe trust in AI starts here with open answers to tough questions.

✅ What You’ll Learn:

• What questions reveal if a tool is a GPT wrapper or a behaviorally-grounded model

• How to check for real sampling logic, not just text generation

• What “validation” actually means (and what to watch for in vague claims)

• Why auditability, explainability, and replicability matter in high-stakes decisions

• How to align AI tools with your research maturity level

  
  

🧠 Why It Matters:

If you’re using AI to shape product launches, pricing, or messaging, you’re already making decisions with impact. That means your data sources need to be more than “good enough.” They need to be trusted, traceable, and defensible. The ESOMAR questions offer a framework for that trust.

👇 Download the Free Guide:

📥 Download the plain-language ESOMAR 20 Questions PDF