Date: October 29, 2018 | Author: infotech | Category: Digital Marketing

In Future Google’s RankBrain Impact on SEO

RankBrain is a machine-learning artificial intelligence system that helps Google process some of its search results, in particular rare or one-of-a-kind queries. It was launched in early 2015 and is used globally by Google.

RankBrain is primarily focused on helping refine queries that Google processes, but the company says that the system is also used to help rank web pages. In fact, Google says RankBrain is its third most important ranking factor.

SEO Is being Changed For Good

The vitality of RankBrain in search results is evident from the fact that after links and content, it is the third most important factor in ranking algorithm. So what does this mean for Keywords?
Well, as the trend is emerging keywords will become less effective over time. Yes, they will.

Google has already hinted at the move away from keywords with subsequent algorithm updates of Panda and Penguin. The fact of the matter is that within Google, several algorithms exist. The main aim behind the conception of RankBrain is to learn to mix these core algorithms in the best possible way to give most relevant search results. For example, in some search results RankBrain might give META Title the highest preference, while in others it might give PageRank an upper hand. This means that search results will never be the same again.

There are many verticals at play here and Google is making it even harder for SEO managers to manipulate the system. In order to understand the approach being taken by RankBrain in a particular search result, one needs to carefully measure Google Algorithmic Shifts. With careful analysis of this, a pattern might emerge, which could throw some light on which particular algorithm is being promoted or demoted. This knowledge would help you focus on that part of SEO for a particular search result.

It’s about Relevant Content

Nowadays, rather than looking for relevant content, users are being fed content through respective recommendation engines. Social networks like Twitter and Facebook are also employing the same strategy, where they are highlighting content in accordance to the user preference. As more and more users are going online and accessing information on a larger scale, big data is helping data scientist formulate better machine learning algorithms to find out the next article or video the users would like.

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Currently, RankBrain is on a learning spree, going through hoards of data, observing and responding to user behavior when they interact with the SERPs. Google wants to limit the fluctuation of website ranking after every algorithm update. It has always said that website should just focus on serving useful and relevant content, instead of just SEO focused stuff.

Nowadays SEO managers are focusing more on long tail keywords, but soon even those will become redundant. Machine learning will give Google a better idea about the authoritative sites for a particular search phrase, regardless of whether that website uses that specific phrase or not.

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