Mark Huntley, J.D. is a Growth Strategist and AI Discovery Analyst whose work examines how brands, companies, experts, products, and services are represented in AI-generated recommendations.
His research focuses on the factors that influence whether an option is surfaced, cited, compared, recommended, or overlooked. He studies recommendation consistency, source quality, digital authority, reputation signals, and the effect of prompt wording across multiple open-source and leading commercial models.
Mark develops research frameworks and datasets that identify where state-of-the-art commercial and open-source AI models agree, where their conclusions differ, and which options receive the strongest support. His work connects these findings to practical business outcomes, including consumer trust, buyer choice, competitive visibility, market position, and revenue.
His analysis is grounded in a simple distinction: being mentioned is not the same as being recommended.