Generative Engine Optimization (GEO) is emerging as a potential game changer for search mechanics, allowing services to adjust content to align better with generative AI models like ChatGPT. This notion is stirring a range of responses, as evidenced by the variety of services being offered on platforms like Fiverr, indicating a growing market for these skills. However, a skepticism remains regarding the practical efficiency of GEO as it contrasts with traditional search engines, particularly given Google's dominance and continued growth. Critics point out that while LLMs (Large Language Models) like ChatGPT are gaining traction, they still function at a fraction of the scale of search engines like Google. Furthermore, there are concerns about how this new optimization landscape could disrupt existing search paradigms, potentially leading to adverse outcomes as content generation and search methodologies become increasingly interdependent.