In a multilingual GEO, how to optimize multimedia content such as images and videos?

In multilingual GEO optimization, images and videos need to balance language adaptation and meta-semantic layout to enhance the content understanding and citation efficiency of AI large models. Typically, systematic optimization is required from three aspects: text annotation, visual cultural adaptation, and multilingual structured data. Text information needs multilingual localization: image file names, alt text, video titles, and descriptions should accurately express core content in the target language, avoid mechanical translation, and embed regional keywords (e.g., "日式料理食材" corresponds to "ingrédients de cuisine japonaise"). Visual content needs to adapt to cultural scenarios: avoid symbols that may cause cultural misunderstandings (such as gestures and colors), and prioritize visual elements familiar to the target market audience (e.g., the Middle Eastern market prefers geometric patterns). Video content needs to add multilingual subtitles, dubbing, and chapter markers to ensure that AI can identify language versions and associate corresponding semantics. It is recommended to prioritize optimizing multimedia in high-conversion scenarios (such as product main images and brand promotional videos), and use GEO meta-semantic optimization tools like Star Reach to track AI citation data of different language versions and continuously adjust adaptation strategies.