The Xiongershan Area is a significant gold province in China. Due to complex tectonic activities. gold-related geochemical anomalies in the area show spatially heterogeneous and nonlinear distribution patterns, which are difficult to characterize using traditional geochemical prediction models. In contrast, the geographically weighted regression (GWR) model effectively captures the anisotropic distribution of geological bodies and enables the quantitative expression of nonlinear relationships. Based on stream sediment geochemical data, this study applied the GWR model to quantitatively extract gold-related geochemical anomalies in the Xiongershan Area. The results indicate that areas with higher anomalous values among the anomalies are mainly concentrated in the central and eastern areas, such as Qinggangping, Ligangzhai, and Hongchungou, and predominantly distributed along ore-controlling faults in a belt-like pattern, consistent with regional metallogenic rules. The AUC value of the GWR model reached 0.918, demonstrating high accuracy. Based on the e anomaly extraction results, 8 target areas with prospecting prospects were delineated in the Xiongershan Area, providing valuable references for future gold exploration efforts.