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With the rise of AI-based search, users now start by asking LLMs like ChatGPT, Gemini, Perplexity, and Claude, then compare the companies and services that are introduced there. However, most companies have no clear grasp of how AI understands their brand, or in response to what kinds of questions their name is being mentioned. LLMO (Large Language Model Optimization) is a new optimization strategy for “shaping how your company is introduced by AI—accurately and in the way you want—when users ask questions.” In this hub, we systematically explain topics such as: How companies are evaluated in AI search The information sources LLMs refer to, how they extract data, and how answers are generated The characteristics of questions where a brand is / is not picked up How to increase visibility for branded queries and comparison queries Best practices for content improvement, structured data, and information design The difference between LLMO and SEO, their respective roles, and integrated strategies Now that AI search has become the first touchpoint for users, “Which questions your brand appears for” directly impacts your ability to attract customers, build awareness, and generate sales opportunities. In the LLMO Hub, you can comprehensively learn—from fundamentals to advanced tactics—how to design the way your brand is seen so that it is chosen in the AI era.