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  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...

 The Complete SEO Course: From Fundamentals to Advanced Strategies Here's a breakdown of the modules we'll cover: Module 1: SEO Fundamentals - Laying the Groundwork Lesson 1.1: What is SEO and Why Does It Matter? Understanding Search Engines (Google, Bing, etc.) and how they work. The importance of organic traffic and its benefits. Different types of SEO (On-Page, Off-Page, Technical). The evolving landscape of SEO and algorithm updates. Lesson 1.2: Keyword Research - Understanding Your Audience's Language Identifying target keywords and search intent. Using keyword research tools (e.g., Google Keyword Planner, Ubersuggest, SEMrush - we'll touch on both free and paid options). Analyzing keyword metrics (search volume, keyword difficulty). Long-tail keywords and their significance. Competitive keyword analysis. Lesson 1.3: Understanding Search Engine Results Pages (SERPs) Anatomy of a SERP (organic results, paid ads, featured snippets, knowledge panels, etc.). Different ...