survey questions

When AI Takes the Survey: Evaluating LLMs as a New Tool for Consumer Insight

  • ARF
  • MSI

The study in this MSI working paper evaluates whether large language models (LLMs) can serve as a reliable source of consumer preference data—potentially transforming how market research is conducted. Using conjoint-style survey questions, the researchers compared LLM-generated choices with human responses to estimate willingness-to-pay (WTP) for a variety of product attributes. They find that LLMs often approximate human preferences surprisingly well, especially when fine-tuned with prior survey data, though important limitations remain. For marketers, the research highlights both the promise and the boundaries of using AI-generated insights to accelerate testing, concept screening and early-stage innovation work

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Learn About the Benefits, Limitations and Dangers of Using LLMs in Advertising Research

  • ARF
  • Knowledge at Hand

This report offers an abridged version of the cumulative 2025 AI handbook, exploring the benefits, limitations and dangers of generative AI models when employed in various tasks associated with marketing and advertising research. This report sums up the insights from several experiments where ARF researchers tested AI's capabilities in survey design, sentiment analysis, coding open-ended responses, language translation and addressing AI risks.

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The 2025 Guide on Using AI for Advertising Research

  • ARF ORIGINAL RESEARCH

This update to the ARF’s first comprehensive handbook, released last year, provides an exploration into the burgeoning technology’s transformative role in marketing and advertising research. It covers the integration of AI into marketing strategies, ethical considerations, future trends and practical case studies. This handbook is an essential guide for advertising research professionals looking to leverage any of the latest AI platforms while ensuring ethical and impactful outcomes.

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