The GIST pipeline converts mobile point clouds into semantically annotated navigation topologies. It targets dense environments like warehouses where traditional vision models struggle with stale features. This research distills scene data to help embodied AI navigate cluttered spaces. Practitioners can use this method to improve spatial grounding in quasi-static retail or hospital settings.