Since fall 2013, the Google Hummingbird algorithm has been leaving its Image Manipulation mark on search results for billions of queries and offering end users another small step towards a more intimate and personal search engine results page. It's easy to forget that today's micro-moments and Google answering contextual questions is a massive departure from the first 20 years of search, where specific keywords dictated results rather than Image Manipulation considering the entire query. To fully grasp the significance of the Hummingbird update, let's see what research was like before release, what Hummingbird was designed to do, and why it really changed our lives.

What Research Was Like Before Hummingbird In the Image Manipulation summer of 2013, the basics of SEO were still more or less the same as they are today. We still lived in an age of “quality content” and earning links (rather than buying or scheming for them), and being able to answer questions that people cared about was always the goal. Advertising Continue reading below However, the search results landscape was dramatically different, even just a year before Hummingbird was launched. Nutrition Research Image Manipulation Results Before Hummingbird 2012: The beginnings of the Knowledge Graph A year before Hummingbird, search results gave you exactly what you put in – whether it was a single word (“games”), a long-tailed string (“who is the mayor of Burlingame, CA?”) , Or even a well-known abbreviation (“NBA”).

It came with a catch. The results were often spontaneous, not providing in-depth answers or resources on the query. Advertising Continue reading below Being able to analyze intent was always a challenge Google faced, especially when it came Image Manipulation to being able to tell two similar but different queries apart. A good example concerns music and theatre. If I now ask Google about the "Globe", I get information about the famous Globe Theater associated with William Shakespeare.