If you think getting high SERP ranking and deriving traffic to your website is all about SEO, think again.

Even the best SEO Company in Ahmedabad like Studio45 has addressed the importance of Machine Learning & Big Data in Google searching and ranking.

ML and BigData are used by Google to find out what searchers are really looking for. Searches are turned to concept-driven instead of being just a keyword – thanks to Machine Learning.

If you acquire high ranking with tremendous bounce rate by tricking unexpected searchers, the day is not far when all of this going to fall.

Without more discussions, let’s dive into why and how Machine Learning is playing a bigger role in getting high ranking.

What exactly is Machine Learning?

Theoretically, machine learning is simply a data analysis method in which machine snot only analyse the data but also learn from each analysis to enhance future methods and motives of analysis.

You can count machine learning as a kind of Artificial Intelligence which use statics for programming in a specific way that allows machines (computers) to learn without having any need to give manual commands from the keyboard.

What Google’s Machine Learning has to do with SEO?

HTML Tags focusing on Concepts

Nothing is more important than Meta, URLs, Titles, and headings. Machine learning provides a high-level conceptual understanding of Google systems. That’s why tags and metadata are crucial to help Google decide what the context of your page is, and if this context is suitable for the users.

Gone are the decades when keyword stuffing was everything. Now, keywords are less important. Today’s concept-driven search engine focuses on quality and precise content which might rank high even if it has ‘0-keyword’.

Click-through, links and Bounce Rate

Machine learning is useful for making Google searches more dynamic than ever. With meaningful and relatable links, it’s possible to help Google system understand and interpret these links and augment authoritative backlinks.

Content Width

Google algorithm changes quicker than you update your SEO strategies or content.

Just keep one thing in mind that “don’t fight Google, win it.” If Google is focusing on quality content and more sensible content, you have to focus on that too.

Content width indicates a web space that contains all kinds of content that a seeker might have searched a text, graphic, image, products, video, link, etc. This is the foundation of organic search.

How to Use ML for SEO?

Gathering Quality Data

You can easily maximise data collection rate by pulling Google Search Console and plugging individual URLs and domain to explore all the relevant data. For better results, install an easy plugin for Sheets or excel that can help you to collect data into tabular form. In this way, you can keep a track of how machine learning is affecting your SERP ranking.

Data Analysis

Many SEO tools for Excel come with a useful plugin that directly takes data from Google Search Console and insert it into the Excel spreadsheet. Search Analytics offers the same for Google Sheet.

Feedback loop

Machine Learning can help you to find out what you should focus on. You might have been familiar to the fact that the title and meta description length must correlate to rank or CTR. You can gather data in loop form by pulling more data from previous Google Search Consoles such as CRM or Ads and marketplace data. Machine Learning can be your best tool for this entire procedure.

To get the most of SEO, Studio45 – the experts of SEO Ahmedabad – is there to help you with all the latest strategies.