Generative Engine Optimization: Getting Cited in AI Search

As search evolves from traditional search engine rankings to generative AI answer engines, brands must adapt how their content is discovered and cited. This course provides a complete foundational guide to Generative Engine Optimization (GEO), teaching you how modern artificial intelligence models retrieve, evaluate, and cite web sources in conversational responses. You will start with essential terminology, core mechanics of semantic search and retrieval-augmented generation (RAG), and explore how AI crawlers index information. What you'll learn: Understand the core differences between traditional SEO and Generative Engine Optimization; Structure content with clear schema, entities, and citations that AI engines prioritize; Apply authority-building techniques that increase the likelihood of direct brand citation; Optimize digital assets for retrieval-augmented generation and conversational queries; Measure brand visibility and citation frequency across major generative search platforms. The course begins with foundational concepts and definitions before progressing step-by-step through actionable optimization strategies and practical written exercises. Designed specifically for beginners, content creators, and marketers, this guide requires no prior technical background or programming experience. Start reading today to prepare your content strategy for the next era of digital search.