AI is a powerful tool in market research — but not all AI tools are created equal. Different large language models (LLMs) “think” differently, and those differences can bias how you gather insights, interpret sentiment, or design studies.
In this session, we’ll compare eight leading models (including ChatGPT, Claude, and Gemini) and map their differences in emotional tone, logic, creativity, ethics, political alignment, and cultural sensitivity. You’ll walk away with:
A clear picture of the strengths and blind spots of popular LLMs
Practical guardrails to reduce bias and AI “hallucinations”
Prompt engineering strategies to get more reliable, human-centered results
Guidance on which models work best for different phases of market research projects (and why mixing models can help)
If you’re curious about using AI and Synthetic Data with more awareness, control, and trust, this session will give you practical tools, tips, and real examples to apply right away.
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