The GeoToken method presents a hierarchical approach to image geolocalization by employing next token prediction, which mirrors the human process of identifying locations from broad regions down to specific addresses. This technique aims to address the challenges involved in accurately determining the geographic origin of images, enhancing both efficiency and precision. By structuring the prediction sequence hierarchically, GeoToken improves the localization task compared to traditional methods. The approach is detailed in recent research published on arXiv, emphasizing its potential application in computer vision and geographic information systems. This method's design reflects a novel way to model spatial information, potentially benefiting various fields requiring precise image localization. The continuity of coverage around GeoToken highlights its significance in advancing AI-driven geolocalization techniques. Overall, GeoToken represents a promising development in the intersection of machine learning and geospatial analysis.