With all the Google search algorithm changes, you will never know when and where your site will appear in Google search results. According to Google’s John Mueller, the search engine giant rolls out hundreds of SEO updates to its core algorithm throughout the year. Nothing scares more than the unknown. There were times, when we knew menace by sight, we were given a heads up on upcoming updates and knew how to recover from them. Now Google search is frequently invaded by a legion of search algorithm updates, which are like Agents Smith who keep order within the google search ecosystem by eliminating SEO threats assumed to be coming from humans’ never-ending desire to implement black and grey-hat SEO techniques. Welcome to the Google Search Matrix.
It’s already February and you have heard a lot of SEO and Marketing predictions out there. However, repetition is the mother of skill, so let’s recap some of the key trends that you can’t afford to ignore this year. Wake up from your winter hibernation, grab a coffee and listen to the top 4 most timely SEO & Marketing actions you can make in order to adjust your business strategy to the latest Google search changes and SEO experts’ prognostications.
(Download a Free SEO Guide Handbook)
The following SEO Guide is not a Bible, but rather a list of recommendations and SEO trends listed in our actionable Semantic SEO Strategy guide. You can download this for FREE and use it alongside the 14+ free SEO tools which you will need for your website optimization and promotion in 2017.
What you’ll learn from this step-by-step handbook:
In the free 19 page handbook we’ve collected some up-to-date practical advice and how-to’s backed by 14+ free SEO tools hand-picked by our editors which will help you understand and implement the latest Google search optimization trends:
Continue Reading >>
RankBrain represents one of the most intriguing changes in the world of SEO in the last year. Initially introduced in October 2015, it still remains a mystery for most experts. However, due to numerous studies performed since then, we are able to understand some basics features of this machine learning system.
Even though the name may imply otherwise, its priority is to provide more relevant results to searches that are completely new. After initial trials, people from Google realized that this system is actually great when dealing with ambiguous and poorly defined queries as well as natural language.