AEO/GEO | Scrunch AI CEO

This course examines the evolving landscape of web search and optimization as AI-powered search engines begin to replace traditional search methods. It explains why classic SEO strategies are becoming less effective, and introduces the concept of Generative Engine Optimization (GEO), which aims to optimize websites for understanding by AI-based search engines.

It outlines the key differences between older SEO practices (keywords, backlinks, ranking algorithms) and the requirements for GEO: clear, semantically organized content; easily machine-interpretable structure; and high-quality, value-focused information. The course argues that websites must be structured and written in a way that AI search systems can parse reliably, rather than solely targeting human-driven organic search traffic.

Furthermore, the course emphasizes that even though AI systems are handling the discovery process, human-centric values remain important: storytelling, brand voice, readability, and meaningful content continue to matter for user trust and engagement. Thus, GEO doesn’t replace good content — it reframes how content should be built to serve both machines (AI search) and humans.

Finally, the course reflects on what this transition means for web creators — it encourages adapting site design, content architecture, and writing style to better align with AI-driven discovery. This prepares websites for a future where generative search engines play a larger role in delivering content to users.