queries. At the heart of Rank rain is a goal to better interpret the user intent behind search queries to surface the most relevant search results. This is a long-standing goal of Google search. Mobile: a main driver of Rank Brain's existence Mobile has taken the need for Rank rain even further. Mobile search behavior has been a game changer, especially when it comes to voice search, which many mobile users are taking advantage of. As you may know, queries tend to be much more conversational using voice search rather than typing.
Rank rain handles long-tail queries that are common in voice search today well, although there are also many long-tail searches typed into a search bar. I believe Rank rain is preparing for a world where voice search will increasingly become the norm. Remember that company employee list voice search is already on the rise. In a presentation by Mary Meeker on the popular 2016 Internet Trends Report, she reported that voice search has grown 7x since 2010. search-voice-queries-kpcb-internet-trends And it's not just voice search from mobile devices. Now we have to consider things like voice assistants like
Google Home, where it remains to be seen how device responses will pull web results. This is what RankBrain does Rank rain was designed to better analyze the language of websites in Google's index and then apply that analysis to a search query. By better understanding the search query, it can better match users with websites and pages. The goal is to better understand the content meaning and intent behind a search query. Once RankBrain understands the intent better, it can then likely apply the appropriate Google algorithm signals that deserve the most weight