The Future of SEO with Machine Learning and AI

The Future Scope of SEO with Machine Learning and AI

Machine Learning and AI have impacted the digital marketing space tremendously. As a result, one such dynamic and

Machine Learning and AI have impacted the digital marketing space tremendously. As a result, one such dynamic and core technology is SEO. Moreover, Machine Learning and AI have transformed SEO and revolutionized it.  

Although, due to the Pandemic businesses are unable to reach their audiences through regular networking channels. Therefore, SEO has pushed the content ahead and helped businesses expand organically and digitally.

In this article, we will understand the Future of SEO with Machine Learning and AI. As a result, we will also learn the different aspects that would empower SEO and its various strategies.

Although, before we jump right ahead to the topics let us revise our basics in understanding the terms like Machine Learning, AI, and SEO.

Future Scope of SEO with Machine Learning and AI

Understanding the term Artificial Intelligence

Artificial Intelligence aka AI is a vast computer science subject. Moreover, it is a subject that builds smart machines.

Firstly, AI-enabled machines and software perform typical tasks at a human intelligence level. Most importantly, it is a versatile science and deals with multiple approaches. 

Additionally, AI’s programming depends on these cognitive skills: learning, reasoning, and self-correction. Although, the progress in machine learning and deep learning are creating alternative patterns. Therefore, making a great impact on all sectors.

Learning about Machine Learning

As seen, Machine Learning is a subsidiary of AI. Moreover, it is a subject of computer science that depends on utilizing data and algorithms. As a result, it mimics the manner in which humans learn to continuously improve their accuracy and skills.

Additionally, Machine Learning develops various computer programs. Hence, enhancing its ability to automatically learn and improve from experience without human interference. 

Moreover, learning is a process that starts by collecting observations and data. Consequently, look for any patterns in data and make decisions using actionable information.

Moreover, Machine Learning focuses on enabling computers, programs, and devices to learn and adapt automatically.  Hence, the approach imitates the human ability to interpret and use data.

What is SEO?

SEO stands for Search Engine Optimization. It is an approach to increase the visibility of a website.

Moreover, SEO is an organic way to engage with audiences. As a result, businesses utilize certain keywords to enhance the quality and quantity of website traffic.

For instance, most audiences click on the websites on the first pages of Google and Bing. As a result, websites with better visibility and reach for relevant keywords bring in an organic and unique business.

The Terms that build SEO

Above all, it is important to understand SEO through its components like:

  • Quality of Traffic: SEO attracts and gains attention from audiences looking for the right key phrase. For instance, when someone types “Apples” they may be referring to the fruit. Although, when the same person types “Apple” or “Apple Computers” they are directed to the relevant websites.

Similarly, learning and developing the content on the website can help businesses reach the right set of audiences.

  • Quantity of Traffic:  The quantity of traffic attracted by any website is important. For instance, the number of target audiences that stumble upon websites creates more engagement and business opportunities.

Moreover, search engine result pages or SERPs are pivotal because the higher ranked a website the more chances it has to gain relevant traction.

  • Organic Results: Above all, SEO helps reach the audiences organically. As a result, organic traffic is any website traffic that is generated without advertisement or push marketing.

    Moreover, businesses gain more trust and loyalty through pull marketing. Hence, increasing the significance of any business in the market.

Steps to Remember while Executing and Planning SEO

  • Firstly, Learn and know the relevant keywords to build your content on.
  • Secondly, maintain the quality and flow of content.
  • Consequently, make sure to use the keywords on the Website Page URLs
  • Moreover, keep a keen eye on the titles. Create engaging, interesting, and relevant titles for the content.
  • Above all, it is pivotal to review each page on the website for any additional placement of keywords.
  • Most importantly, creating content for the website that improves a user’s experience. Hence, leading to a strong SEO ranking.

How are Machine Learning and AI impacting SEO?

AI and Machine Learning are used for various applications within SEO. Today, almost all search engines heavily use these technologies.

AI and Machine Learning have transformed not only SEO but also content creation. 

Krish Kumar, COO at BrightEdge recently stated “AI is able to extract insights from data at scale.” He continued, “That makes the technology perfect for SEO, which generates tons of data and is driven by insights. And AI isn’t just making it easier to extract better insights from search data-it’s making it possible to do so in real-time.”

To understand the impact of AI and Machine Learning in SEO, here are a few of the applications:

Text and Speech Search

Search Engines depend on AI and Machine Learning to bring audiences the best result. Hence, sophisticated AI, Machine Learning, and Deep Learning technique are used.

Moreover, the techniques help resolve search queries and help predict results that satisfy the search criteria.  Although, search engines do not truly reveal the method the AI system works. However, it does provide certain clues and insights, as the job done by the AI and Machine Learning components would be basic.

Above all, AI and Machine Learning impact SEO through content ranking. Moreover, the text and speech search of relevant keywords helps AI categorize and optimize the content.

Hence, text searches and predictions rely on Machine Learning algorithms. Whereas, Speech search or Voice Search depends on AI technologies like Natural Language Processing and Generation. 

Topic Discovery, Keyword Research, and Optimizing the Content

Firstly, businesses should learn about the relevant topics, keywords, and the type of content their audiences want to consume. Most importantly, using keywords on a regular basis to improve and build the network is an important strategy.

As a result, AI tools and techniques can help build content. Moreover, Machine Learning and AI are proficient in discovering patterns from heavy data sets.

Above all, AI helps extract topics from various search data. As a result, providing insights on practices other top-ranking sites are executing.

Furthermore, Machine Learning offers its services for topic discovery and keyword search. Hence, it runs through mundane and repetitive tasks on a bigger and better scale.

Content Marketing

Content is definitely the King in SEO. Moreover, Content Marketing has reached a stage where people recognize brands and their offerings through the content they offer.

Mostly, the use of AI in content strategy, creation, personalization, and optimization enhances the quality of the content. As a result, AI paves the way for content creators and marketers to reach their objectives easier and faster.

Above all, AI and Machine Learning help to improve the process of competitive analysis. It further investigates and discovers the strategies and tactics by collecting the data from various sources.

Improving User Experience

Machine Learning has played a very important role in SEO, by reducing costs. Moreover, it is helping businesses generate customer insights and intelligence. As a result, improving their experiences.

Consequently, Machine Learning provides real-time insights into a customer’s behavior. Hence, increasing the chances of improving the experience without direct feedback.

Above all, this aspect goes a long way while creating quality content for better interaction and results. As a result, creating popular and in-demand content can help websites dominate the SERPs.

How will AI and Machine Learning shape the Future of SEO?

AI and Machine Learning are evolving the face of SEO. As a result, the use of algorithms helps machines make decisions, process data, and applications.

Here is the Future Scopes of SEO with the help of Machine Learning and AI:

Optimizing Video Content

Search engines can now distinguish between a video, audio, and image. As a result, visual content will have a great influence on SEO.

Moreover, search engines are now using Machine Learning and AI techniques to analyze visual content. Therefore, content creators are now optimizing heading and keywords in their content.

Hence, using SEO while creating the contents of a video and image to reach audiences. 

Here are a few facts about video consumers:

  • 78% of people watch online videos on a weekly basis. 55% of these users watch videos online daily.
  • 68% of viewers state they would like to learn about new products and services while watching short videos.
  • 54% of subscribers want marketers to stream more video content.

Web Optimization using Mobile and Voice Search

Mobile devices and voice searches are changing the game for SEO and websites. 

Recently, a Google study states that 40% of searches are now done via Mobile devices. Moreover, this paves the way for brands and businesses to utilize an opportunity and make their content and website more user-friendly.

This activity would certainly help websites, especially now that Google has announced its mobile algorithm for users. As a result, Search engines are completely utilizing AI and machine learning to help businesses reach their audiences. 

Above all, voice searches have also been on the rise. Moreover, voice search assistants like Siri, Cortana, and Google Assistant have become dynamic with demands. 

According to Aleh Barysevich, the Founder and CMO of Link-Assistant state that we should “seriously incorporate voice search strategy into our websites because voice search optimization is the future of SEO.”

In short, businesses need to reduce their content and replace it with keywords for conversational queries.

Search Ranking Factors

RankBrain is an AI solution by Google that aims to comprehend the context and intent of the website content. Moreover, it helps analyze the search intent and then helps users discover various websites.

Further, the content needs to be crisp and to the point to serve the searchers’ intent. Hence, moving forward from older factors like keyword density, content relevance, context, and value are being developed for ranking.

Impact of Virtual Reality

Virtual Reality is also an evolving technology that helps multiple industries. Audiences have now leaned towards creating a virtual world, especially at a time like this.

As a result, marketers, and businesses are now optimizing content for audiences that can be accessed from the comfort of their homes and leave a memorable impact.

For instance, IKEA introduced its application that allows users to view any furniture in the space of their home. Hence, resolving the issue of the audience visiting stores. Moreover, providing a sense of trust and loyalty for the audience.


In conclusion, Machine Learning and AI offer SEO with futuristic advantages. Moreover, these technologies are expanding the horizons and evolving the stream of Marketing.

Hence, Machine Learning and AI help SEO develop engaging content and maintain great relations and interaction with the target audience.

Also Read:

Artificial Intelligence Security Issues You Need To Be Aware Of

Applications of Machine Learning for Data Center Optimization

Web Application Security Best Practices: You Need To Know About


About Jason Hoffman

I am the Director of Sales and Marketing at Wisdomplexus, capturing market share with E-mail marketing, Blogs and Social media promotion. I spend major part of my day geeking out on all the latest technology trends like artificial intelligence, machine learning, deep learning, cloud computing, 5G and many more. You can read my opinion in regards to these technologies via blogs on our website.