Andre Alpar: GEO - Frameworks and Case Studies to Get More Visibility in LLMs

This talk features Andre Alpar presenting Generative Engine Optimization (GEO), a cutting-edge strategy aimed at boosting content visibility within Large Language Models (LLMs) such as ChatGPT and Gemini. The session dives into established GEO frameworks and shares practical case studies that demonstrate its effectiveness. Alpar covers specific optimization techniques for ChatGPT and Gemini while addressing broader principles of Large Language Model Optimization (LLMO), providing actionable strategies for attendees to navigate the dynamic field of AI-driven information discovery. Additionally, the speaker discusses the key differences between SEO and GEO, highlighting how the two can work together to create significant synergies.