In this video, you'll learn how AI search engines work under the hood which is critical in learning how to rank in AI search. Additional Resources: ► https://www.youtube.com/watch?v=6NFei1FbytM ► https://www.youtube.com/watch?v=gReszNnykpg ► https://www.youtube.com/watch?v=xsVTqzratPs In this first lesson, Sam Oh breaks down how AI search engines actually find, evaluate, and cite content. You will see the two sources that power AI answers, training data and real-time retrieval, and why both matter for your brand. We unpack RAG, how tools like ChatGPT, Google’s AI Mode, and Perplexity pull fresh information via web search APIs, and how classic SEO skills like ranking, earning backlinks, and publishing quality content directly influence what gets retrieved and cited. You will also learn how query fan-out flips search from one-to-one to one-to-many. A single prompt can explode into dozens of long-tail sub-queries running in parallel, then get merged into one response. We will show how