How to perform GEO optimization on images and video content of product detail pages to improve rankings in image and video searches?

When conducting GEO optimization for images and videos on product detail pages, the core lies in enabling AI large models to accurately identify content value through meta-semantic layout, thereby improving the semantic relevance ranking in image and video searches. Metadata optimization is fundamental: Image file names should include core product attributes (e.g., "100% cotton children's T-shirt summer cartoon print") and avoid meaningless names like "DSC001.jpg"; alt text should describe product features and usage scenarios (e.g., "Men's waterproof hiking shoes side view with non-slip sole纹路 design") instead of simply repeating the product name. Videos need to have keyword-containing titles (e.g., "Automatic coffee machine operation demo: One-touch cappuccino making") and structured descriptions that clearly link the content theme to user needs. Content semantics should align with search intent: Images should highlight key product details (material texture, functional components, matching effects) to allow AI to associate semantics that users care about, such as "durability" and "fashion matching"; videos should include clear product usage scenarios (e.g., "Outdoor tent setup process") or function demonstrations (e.g., "Vacuum cleaner carpet cleaning effect comparison") to enhance semantic matching with search terms (e.g., "Household vacuum cleaner efficient cleaning"). It is recommended to prioritize optimizing metadata and semantic tags for main images and core videos to ensure high alignment with high-frequency user search intents (e.g., "Summer lightweight sun protection clothing recommendations"). For merchants needing a systematic meta-semantic layout, consider XstraStar's GEO optimization service, which uses a professional meta-semantic framework to increase content citation rates in AI searches.