When querying "What is the best restaurant in xx place?" on AI search engines such as DeepSeek, the response you receive might have been meticulously "designed" by humans. This is where GEO (Generative Engine Optimization) comes into play. In June 2024, researchers from the Indian Institute of Technology Delhi and Princeton University introduced this concept in their groundbreaking paper titled "GEO: Generative Engine Optimization." GEO's objective is to elevate the likelihood of certain information being cited in generative AI engines through a series of strategic maneuvers. This ensures that specific information is prioritized, precisely extracted, and efficiently presented within AI search and question-answering outcomes.