Generative Engine Optimization (GEO) – Detailed Course Outline
Generative Engine Optimization (GEO) – Detailed Course Outline Course Overview Generative Engine Optimization (GEO) is an emerging field focused on optimizing content for AI-driven generative search engines (e.g., ChatGPT, Gemini, Claude, Perplexity, Bing AI). Unlike traditional SEO, GEO ensures content is structured and presented in a way that maximizes visibility and accuracy in AI-generated responses. This course covers principles, strategies, and tools for GEO, helping marketers, content creators, and SEO specialists adapt to AI-powered search landscapes. Course Duration Total Duration: 6 Weeks (Self-Paced / Instructor-Led) Weekly Breakdown: 2-3 Hours of Lectures + Case Studies 1-2 Hours of Hands-on Exercises Weekly Assignments & Quizzes Course Modules Module 1: Introduction to Generative Engine Optimization (GEO) What is GEO? Differences between GEO and Traditional SEO How AI Search Engines Work (LLMs, RAG, Knowledge Graphs) Why GEO Matters? Rise of AI-Powered Sear...