The optimized selection of prospecting target areas is a critical step in mineral exploration, serving as a key link between  metallogenic prediction and practical exploration. Traditional methods for target areas screening rely primarily on qualitative similarity comparisons using integrated prospecting models, which often lead to interpretational variability among experts when evaluating the same geological phenomena or units. To reduce ambiguity and uncertainty in results, this study introduces the weighted information value method to achieve quantitative analysis for optimized selection of prospecting target areas, enabling scientific and objective delineation of prospecting target areas. Buildingon existing metallogenic predictions for gold deposits in the Gouli Area, 6 geological factors were selected as evaluation criteria based on actual geological characteristics: fracture influence intensity, geological interface influence intensity. Au geochemical anomalies, magnetic anomalies, fracture spatial clustering, and geological interface spatial clustering. A total of 69 prediction grids generated were ranked and filtered, ultimately identifying 2 prioritized prospecting target areas with significant gold mineralization potential. These target areas provide guidance for subsequent exploration efforts.