Welcome to the blog millionaire, where we break down the essential strategies of today's most successful bloggers

to take your blog to the next level with top-notch content, monumental traffic growth, and multiple revenue streams to go beyond your wildest goals.

So get ready to blog like a pro and make your traffic explode with your host whose blog gets more than one million visitors every single month, Brandon Galey.

My name's Brandon Galey and welcome to episode 72 of the blog millionaire.

In this episode, I'm going to be going over 11 ways to optimize

your blog post for Google RankBrain. Last year, Google announced that RankBrain was the

third most important factor of Google's algorithm. In the next year, it is expected to become

even more important. So what is Google RankB Brain? In a nutshell, RankBrain is a

machine learning system that assists Google in identifying what search results their users interact best

with. These are known to Rank Brain as the user interaction statistics. The Google Rank Brain Factors have over an 1100% greater influence

on rankings than the relevance of the content in a blog post to a specific keyword phrase search.

So essentially, they're pretty darn important. Let's take a look at a real-life example so you can get a better understanding

of how Google Rank Brain works. Someone goes to Google and types in jewelry industry statistics.

As they scan through the results on the first page, they see a post that jumps out to them.

That post, which is mine, is the only result that displays a strong

title and leads with a number. The title of that result reads, 14 jewelry industry statistics

and trends. Once they click on that search result, my post pulls them in and keeps them on the

page for over four minutes before

they return back to Google.

That same person hits the back button and goes to another search result on the page with

a weaker title for jewelry industry statistics.

The content on that page is much weaker than mine, and the individual only stays for two minutes before returning to Google.

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