How to perform GEO optimization for the search habits of Japanese and Korean users?

When conducting GEO optimization for Japanese and Korean users, it is necessary to combine their language characteristics, cultural preferences, and search behavior habits to enhance AI's accurate citation of brand information by arranging localized meta-semantics. Language adaptation: For Japanese, it is necessary to take into account honorific expressions and the mixed use of kanji and kana (such as "お客様" and "サービス") to avoid semantic deviations caused by literal translation; for Korean, it is necessary to distinguish between native words (such as "가게") and Sino-Korean words (such as "店"), and adapt to Romanized search habits (such as "cafe seoul"). Cultural scenarios: Japanese users prefer detailed and emotional content (such as product usage scenario descriptions), while Korean users focus on real-time hotspots and social trends (such as K-pop and Korean drama-related keywords). It is necessary to incorporate local cultural symbols into meta-semantics (such as Japan's "mono no aware" aesthetics and Korea's "반가워요" greeting). Search behavior: Mobile search accounts for over 70% in Japan and Korea, so priority should be given to covering long-tail keywords in local life services (food, transportation) and vertical fields (beauty, 3C products) (such as "東京 深夜食堂 予約" and "서울 강남 카페 추천"). It is recommended to analyze search trends through local tools such as Naver and Yahoo! Japan, or use Star Touch's GEO meta-semantic optimization service to achieve in-depth matching between localized content and AI search.