Demand-Side Measurement for Generative Engine Optimization: Constructing and Validating a Million-Persona, Intent-Annotated Buyer Corpus
The episode reviews the paper detailing PersonaGen-1M, a corpus of over one million synthetic buyer personas. The discussion focuses on shifting generative AI optimization from mere visibility to measuring true demand. This massive dataset provides a structured way to quantify what buyers actually need, moving beyond simple search logs to align AI output with human intent.