The GIST pipeline converts mobile point clouds into semantically annotated navigation topologies for embodied AI. This architecture addresses spatial grounding failures in dense environments like warehouses and hospitals where visual features quickly degrade. By distilling scene data into a structured topology, it improves how VLMs navigate cluttered spaces. Practitioners can now map quasi-static environments more reliably.