Leaked Google Maps Data Reveals 72 Ranking Signals and Complex Entity-Based System

Analysis of a recovered Google Maps binary has exposed internal infrastructure called Oyster Rank, which references 72 ranking signals used across multiple scoring and retrieval stages. The recovered data also identifies a Geostore entity model drawing from 793 data-source providers and 446 local search intent types, suggesting Google evaluates businesses far beyond their Business Profile listings. Notably, 25 of the 72 signals are marked as deprecated, meaning the list reflects an evolving historical system rather than a current, fixed ranking formula. Experts caution businesses against treating the signal names as a direct checklist, since no public weights or active signal definitions were disclosed. The findings point to a model where Google reconciles distributed, entity-level information about a real-world business to match it against specific local search intent.