Spencer Millerberg is the Founding Partner of DetailPage, which helps brands optimize traffic and gain Amazon market share. He founded OneClickRetail, the original provider of Amazon market share data that was sold to Ascential. As an eCommerce and data analytics expert, Spencer has helped over 650 brands improve sales, margins, and search positions on eCommerce sites.

In today's digital marketplace, visibility is everything. With AI tools like ChatGPT shaping how shoppers discover products, brands are facing a new kind of competition — one where search optimization meets machine learning. How can companies ensure their products are recommended when customers ask AI what to buy?

According to eCommerce and data analytics expert Spencer Millerberg, the key lies in mastering both traditional and generative optimization. He urges brands to speak the customer's language, not their internal catalog terms, and to keep content fresh to trigger algorithmic boosts. By understanding how AI prioritizes retailer and brand content, and by revisiting SEO regularly, brands can secure lasting visibility and growth.

In this episode of The Digital Deep Dive, Aaron Conant welcomes Spencer Millerberg, Founding Partner of DetailPage, back to the show to discuss AI-driven discoverability. Spencer explains why retailer content dominates AI recommendations, how quarterly content updates improve search ranking, and why optimizing neglected B SKUs drives major growth.