关于
The Query Expansion Strategy skill helps developers and content creators optimize their digital presence for the era of AI-driven search. By anticipating how Large Language Models (LLMs) decompose single queries into multiple semantic sub-questions—a process known as 'fan-out'—this skill provides a systematic framework for content architecture. It guides users through creating comprehensive topical clusters, building entity relationships, and ensuring that every content piece answers the specific secondary questions AI models prioritize, ultimately increasing the probability of being cited as a primary source in AI-generated responses.
