Generative AI offers a new way to improve conjoint analysis: by supplying utility priors for design and estimation. In this session, we show how large language models (LLMs) can generate realistic prior utilities that enhance predictive accuracy in CBC studies. Using a job search platform experiment with ~1,000 participants, we compare standard designs with GenAI-augmented ones and share practical lessons and pitfalls.
