A Complete Guide to the Google RankBrain Algorithm

What is Google RankBrain? How does it work? Can you optimize for it? Here’s everything you need to know about the Google RankBrain algorithm.

It is no exaggeration to say that Google RankBrain is revolutionizing search results.

In 1996, search changed with the idea of ​​using links as a ranking factor, which later became Google PageRank.

What Is RankBrain?

RankBrain is a system that allows Google to better understand user preferences for search queries. It was launched in spring 2015 but was announced on October 26 of that year.

In the beginning, RankBrain was asked questions that Google had never encountered before, and it still encountered, affecting 15% of all searches.

At the heart of RankBrain is a Hummingbird-based machine learning system that Google transformed from a “strings” environment to a “things” environment.

That is, it comes from “reading” the actual form, but “seeing” the entity it represents.

A Quick Aside About Entities & Things Over Strings

To explain this important advancement and its role at RankBrain, let’s just look at the letters that make up the names of my colleagues and friends.

“Jason Barnard”

Before Hummingbird, Google saw these characters in combinations of 2 words and 13 characters, in that order and most frequently used on the page, that affected the search string “Jason Barnard.”

Jason is a normal person, but that doesn’t matter.

Why Did Google Introduce RankBrain?

RankBrain was originally introduced to solve a simple but big problem.

Google had not seen 15% of queries used, and as such had no context for them, nor past analytics to determine if their results were good or not at satisfying the user’s intent.

Enter RankBrain.

This system focuses on things that are not strings.

RankBrain also considers the environmental context (such as the searcher’s location) and determines the meaning of what has been done.

This is a simple process, and understanding the word order is a function of discovery rather than desire.

How Does RankBrain Work?

It’s no surprise that Google hasn’t explained exactly how RankBrain works.

However, we can still imagine what happened behind the scenes.

New Search Function

As mentioned above, we need to stop thinking in terms we understand and start thinking like a machine.

Why Is RankBrain Important?

RankBrain is important not only for what it is, but also for what it stands for.

This is the first time Google has applied machine learning to search results. This is not the last time.

What Is Schema Markup & Why It’s Important for SEO?

Schema markup is a great way to help your website stand out from your SEO competitors. Here’s why you need a schema and how to add it to Minibot Media Solution’s webpages.

Schema markup, found at Schema.org, is a form of microdata. Once added to a webpage, schema markup creates an enhanced description (commonly known as a rich snippet), which appears in search results.

Top search engines – including Google, Yahoo, Bing, and Yandex – first started collaborating to create Schema.org, back in 2011.

Schema markup is especially important in the age of Hummingbird and RankBrain. How a search engine interprets the context of a query will determine the quality of a search result.

Does Schema Improve Your Search Rankings?

There is no evidence that microdata has a direct effect on organic search rankings.

According to a study, less than one-third of Google’s search results include a rich snippet with Schema.org markup. This exposes a huge opportunity for the rest.

Very few things in SEO, today, can move the dial quickly.

What Is Schema Used For?

Above are some of the most popular uses of schema. However, there’s a good chance that if you have any sort of data on your website, it’s going to have an associated itemscope, itemtype, and itemprop.

Conclusion :

Hopefully, any fears that you might have had when you heard the word “Schema” or “Structured Data” have been put to rest.