EO is the backbone of digital marketing and its integration of machine learning is making it stronger. Here are the top 5 reasons to empower your SEO with ML
Being under a lockdown makes you appreciate all the little things in life that you used to witness in everyday scenarios. You start to miss even the situations that probably instilled irritation such as traffic. Remember how being in the middle for a jam you looked at maps and wished you would have checked them before taking the particular route? Always happened to me! Well, those revelations about where there’s high traffic and which would be the fastest route are based on machine learning technology. It makes use of real-time as well as historic data to provide you with recommendations for the best way to reach a spot. Machine Learning is now also being used for SEO marketing. The neural networks and deep learning that are a part of machine learning applications are a great source to enhance the overall process of search engine optimization According to Think with Google, 66% of marketing leaders agree automation and machine learning will enable their team to focus more on strategic marketing activities.
The total funding allocated to machine learning worldwide during the first quarter of 2019 was $28.5 billion, states finacesonline.
There are marketers out there that are still unaware of the wonders that AI and machine learning can do for their organic traffic building.
Data science and machine learning combined with SEO can get you clean and churned results for increasing your Click Through Ratio.
The question arises how can SEO with machine learning algorithms be utilized to achieve outstanding outcomes? And more importantly, why should this combination be put in place to start with?
Let us look at the top 5 reasons why combining your SEO with machine learning is a good idea.
1) Automated Suggestions
Machine Learning is known for its ability to learn and adopt patterns and behaviors. The machine learning language is directed in such a way that it cleanses the system by blocking spammy content or links. This combing activity helps in delivering relevant and clean data. This data is further studied by the machine and patterns are drawn out. These patterns are used to identify the most used keywords and their surrounding meaning. The machine learning search engine then shows automated suggestions in response to the meaning of the query, rather than just the keyword installation.
The Search Engine Results Page has been upgraded several times to make it more accurate. There are a variety of ranking factors that are used based on AI machine learning algorithms for understanding the context of the query as well as studying user engagement to seek the most optimized and quality content and visitors with the same. The regular up-gradation makes the machine smarter and makes it difficult for someone to outsmart the machine using unethical tactics.
The latest Google algorithm that makes use of ML tech offers SEO marketers a wide scope of personalization. It is because of the SEO with machine learning combination that we see personalized results. Let’s take an example – Pixel generally means a picture element in a graphic image. But let us see what happens when I first look for “Upcoming Google Phones in the USA” as my query.
After this, I looked up the word “Pixel”
The algorithm realized I was looking for information on Google mobile phones, and gave me the result of Pixel phones as those the mobile device products by Google.
4) Voice Searches
If you have read anything about the Voice Assistants, you will know that these are all based on the machine technology. For machine learning search engine optimization, voice searches are a great source to rank your product at the top of the engine. A number of now search their queries using voice searches. And optimizing those searches with ML will help you increase your CTR.
5) ML Feedbacks
There are ML and analytics plugins available in the market which can be leveraged and used with your excel sheet for deriving prediction models and functional patterns. Machine learning with SEO can declutter the patterns and give you feedback about your meta tags and meta descriptions for designing your future models and strategies.
You don’t have to know a ton of coding to harness machine learning for SEO purposes! It just has to be put to use in an effective manner to generate efficient results.
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ABOUT THE AUTHOR
Chandrima is a Content management executive with a flair for creating high quality content irrespective of genre. She believes in crafting stories irrespective of genre and bringing them to a creative form. Prior to working for MartechCube she was a Business Analyst with Capgemini.