Research: Google local algorithm uses 2:1 clustering formula
An investigation from RankRanger’s Mordy Oberstein identifies a distance and clustering pattern in Google’s local algorithm that the author says is consistent regardless of user location. In other words, it appears whether the user is searching from a nearby location or remotely (e.g., resident vs. tourist).
The pattern shows two local results near one another, and then a third result at a greater distance within the initial local pack presentation. It’s consistent on the desktop and in mobile, although once the map is expanded or more results clicked, many more locations are shown.
The pattern held after many…