How Will Google Rankbrain Have An Effect On Your Rank In Search Engine?

“For the past few months, a “very huge fraction” of the immeasurable queries a second that individuals kind into the company’s computer program are taken by an artificial intelligence system, nicknamed RankBrain.”


What Is Google’s Rankbrain?

‘RankBrain’ isn't a search algorithmic rule however a section of it.RankBrain is an artificial intelligence system designed to assist Google deliver its search results. The system operates by teaching itself the way to interpret what the user is looking for so as to seek out and deliver the most relevant and valuable result. In short, if RankBrain sees a word or phrase it isn’t familiar with, the system can create an educated guess on what alternative words or phrases might need the same meaning, and filter results correspondingly.

What AI in Google’s RankBrain?

RankBrain uses AI to plant large amounts of written language into mathematical entities, referred to as vectors, that the computer will understand. If RankBrain sees a word or phrase it isn’t familiar with, the machine will create a guess on what words or phrases might have the same meaning and filter the result accordingly, creating it more effective at handling never-before-seen search queries. RankBrain favoured completely different results in Australia versus in Malaysia for that query as a result of the measurements in every country are different, despite the similar names.

Are Machines Going to Take Over the World?
Firstly, Google’s AI is not sentient. Saying that RankBrain can “learn” doesn’t mean that you can sit down with the AI, teach it the basic rules of physics and expect it to determine the velocity of a moving car. Instead, RankBrain has access to tremendous search data and uses this information to make educated predictions about future searches. Although we’d like to think that a company that is worth hundreds of billions of dollars can create intelligent machines, Google’s AI will not soon rule the world. The truth is that engineers still have to do a lot of manual processes and code the search algorithms. For Google, RankBrain means that engineers won’t need to update an algorithm manually to keep up with changes and ensure relevance and they have been struggling to deliver better, more relevant results to web users. Nowadays, Google still relies on manual updates and uses an army of engineers to make sure that searchers are getting quality relevant results. Taking the human out of the equation might mean that search engines will get better at making predictions. It can also mean that SEO as you know it might change.

How does RankBrain Work?

Figure 1: Source, Stone Temple Consulting

Figure 2. Source, Stone Temple Consulting

RankBrain is used to analyze searches and to match them with pages that may not feature the exact keyword that the users typed.Rankbrain be a way to interpret and categorize these queries to deliver better results for Internet users everywhere. It also able to read complex sentences, instead of just looking at keywords. The system lets Google create connections between words in a more advanced and educated way than Latent Semantic Indexing (LSI). For example, in the past, Google might have interpreted a search query like, “Whoever thought this is a great album is an idiot”, as a positive review because of the key phrase “great album”, but now it able to understand the whole sentences.
Thanks to RankBrain, Google will be able to look at the context and interpret the search query accordingly. That means that it will be harder to manipulate content to rank high for competitive keywords without understanding the relationship that RankBrain is creating between search terms and context.

How the Google’s RankBrain work technically?

Google RankBrain, is about word “vectors” — the way words and phrases can be mathematically connected. There is some of Google’s RankBrain Algorithm being publish for an Open Source community that inside Machine Learning Framework “TENSORFLOW” and more specifically is word2vec model (Vector Representations of Words). Word2vec is a particularly computationally-efficient predictive model for learning word embeddings from raw text. It also is part of Natural Language Processing(NLP) that understand the searchers query on Google Search.