Generative AI (GenAI) offers transformative potential for marketing research by enabling the creation of flexible, custom stimuli to explore consumer preferences and behaviors. This paper introduces a validation protocol to ensure the content and context validity of GenAI-generated stimuli that addresses potential biases and variability in outputs. By applying this protocol, researchers can leverage GenAI to develop reliable measurement tools, opening new possibilities for studying consumer preferences in previously challenging domains.
