Agenda

As answer engines reshape discovery, retailers must optimize not just for search – but for AI-generated answers. Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) require brands to publish precise, high-volume, structured content that AI trusts and cites. Increasingly, models rely on sources like Reddit, LinkedIn, and Quora – where a single outdated or negative post can disproportionately influence brand perception. Retailers face new risks: AI hallucinations, reliance on outdated or paywalled information, and shrinking first-mover advantage windows. This session explores how brands can audit AI responses, scale authoritative product and policy content, and prepare for emerging monetization models from companies like OpenAI. Learn how to ensure your brand is recommended – not misrepresented – when AI becomes the primary interface for product discovery and purchase decisions.

Consumers aren’t just searching anymore; they’re asking. As product discovery shifts from traditional search engines to AI-powered chat environments, brands face a critical question: will you show up when customers ask for recommendations? This forward-looking session explores how conversational discovery is reshaping visibility, influence, and conversion. Retail and digital leaders will unpack how AI-generated answers differ from traditional search results, what it means to “write for AI,” and why structured, enriched product data is now a growth lever. We’ll also examine the emerging landscape of paid placements within AI chat and what it takes to compete. If discovery has moved, your strategy must move with it.