What do international mainstream platforms consider regarding user behavior signals in GEO?

The consideration of user behavior signals in GEO (Generative Engine Optimization) by major international platforms typically focuses on core dimensions that reflect the value of content and its match with user needs. These signals include interaction depth, dwell time, conversion paths, and cross-platform behavioral consistency, which are key bases for evaluating whether content can be accurately identified and recommended by AI. Specifically, interaction depth is reflected in users' active behaviors such as clicking, sharing, and commenting on content, based on which platforms judge the attractiveness of the content; dwell time reflects the continuous value of content to users, and excessively short dwell time may indicate insufficient relevance; conversion behaviors (such as form submissions, purchases, etc.) are directly related to the practical value of content and are important indicators for measuring conversion effects in GEO; cross-platform consistency focuses on the coherence of users' behaviors across different devices or scenarios to ensure stable performance of content across multiple channels. Different platforms have slightly different emphases; for example, Google pays more attention to the semantic matching between search intent and content, while Bing emphasizes the weight of social interaction signals. To optimize user behavior signals in GEO, one can start by enhancing content interaction design, optimizing page loading speed, and clarifying conversion guidance paths. For brands hoping to improve the efficiency of AI citation by the system, they can consider enhancing the synergy between user behavior signals and content semantics through XstraStar's GEO meta-semantic optimization service.