No more than just a couple of years ago, Google built a reviews system with Yelp Elite Squad, called City Experts. It was planned to quicken the procurement of local business reviews of quality. The name of the project was changed in January of this current year to Local Guides, according to ScreenWerk.

The first program offered prizes that took into account the quantity of reviews submitted. After 50 reviews, for instance, users got the opportunity to be a part of a Google+ group and be welcome to nearby selective occasions, and that's just the beginning. Reviews were required to meet quality guidelines.

With the shift far from Google+ and the renaming of the system, Google has likewise patched up its motivating forces. What's more, the organization is attempting to widen interest and the sorts of substance gathered.

Here are the levels and new point framework:

  1. Level 1 (0 - 4 points): Enter elite challenges (think new Google gadgets!) in favored nations.
  2. Level 2 (5 - 49 points): Get early access to new Google items and components.
  3. Level 3 (50 - 199 points): Show up in the Google Maps application with your official Local Guides identification.
  4. Level 4 (200 - 499 points): Receive a free 1 TB update of your Drive stockpiling, permitting you to keep every one of the stories, photographs, and recordings from your goes in one safe spot.
  5. Level 5 (500+ points): The exceptional Local Guides will have to be qualified to apply to go to our inaugural summit in 2016, where you'll have the capacity to meet other top Guides from around the globe, investigate the Google grounds, and get the most recent information about Google Maps. Pay special mind to points of interest ahead of schedule one year from now.

As showed, the prize system is currently in light of points that can be earned in different ways, not simply by contributing surveys. At the end of the day, the organization has expanded the capacity of Local Guides to give reviews, photographs and tips as well as to banner and fix fragmented or mistaken data.