The tutorial delves into the concept of Generative Engine Optimization (GEO), a digital marketing strategy aimed at enhancing content visibility within AI-powered search engines, and compares it with traditional Search Engine Optimization (SEO). It introduces a multi-agent system using CrewAI, integrated with Gemini and Bright Data, to improve GEO by systematically analyzing query fan-outs and AI-generated summaries. The workflow involves six AI agents, each designed for specific tasks such as title scraping, query fan-out generation, main query extraction, AI overview retrieval, and content optimization, to identify high-priority topics for AI-driven rankings. The tutorial provides a step-by-step guide to setting up the workflow, integrating necessary tools, and running the system to optimize web pages for AI-powered search engines, with a focus on improving both GEO and SEO positioning. It also suggests potential enhancements, like introducing an agent to process multiple URLs simultaneously, emphasizing the flexibility and adaptability of the workflow for various use cases.