In a hyper-connected and hyper-competitive world, the misconception ‘SEO is dead’ keeps surfacing repeatedly. However, the reality is far different than this. You can say that ‘old SEO tactics are a gone breed,’ but search engine optimization is becoming future-proof now.

How come?

Unless you are living in the cave age, you cannot be naive about technological advancements, including artificial intelligence (AI), machine learning (ML), deep learning (DL), and natural language processing (NLP). AI is an umbrella term for all these technologies and many others still emerging.

 

AI – An Incredible Game-Changer:

Many big organizations are adopting AI solutions for faster and easier business operations. For instance, in 2019, JPMorgan Chase & Co. started using an AI copywriting tool for the company’s marketing communications.

With the trend of leading brands ushering in AI-based content creation, personalization, marketing, and digital transformation, it is impossible to miss the significance of AI in optimizing and ranking your websites high on SERPs (search engine results pages).  

AI has proved its worth in increasing revenue for businesses.

According to Statista, 30% of AI adopters in marketing and sales cited up to 10% increase in revenue after using this technology.”

impact of AI

Isn’t it impressive?

These convincing results denote AI as the most beneficial solution to your SEO.

 

AI-Driven Tools for SEO:

We now have a hard-to-miss set of AI-powered tools and software solutions, making modern SEO much more effortless.

These software solutions use innovative data intelligence to:

  • Create and optimize content that matches Core Web Vitals (e.g., Surfer)
  • Find keywords and topic ideas that hit the mark (e.g., BrightEdge)
  • Make effective marketing messages for customer engagement (e.g., Persado)
  • Automate SEO and self-adjust the websites to the algorithms (e.g., Alli AI)
  • Prevent content-decay and optimize it for voice search (e.g., Frase
  • Improve user experience with search engine modeling (e.g., Market Brew)
  • Find authority sites, perform link building, and track performance (e.g., LinkHunter)
  • Perform website SEO, security, and overall performance analysis (e.g., Web Analyzer)

Perform website SEO

 

What’s the point?

These AI tools, and many others are taking over the world, so you also need to up your search engine optimization game.

The primary goal of artificial intelligence is to perform cognitive and laborious tasks faster and better than humans. 

The primary Google algorithms, including BERT and Rankbrain, greatly depend on AI. As a result, it has become a core component of search engines and an excellent tool for data analysis.

 

Boost your SEO with AI Technologies:

Search engine optimization has become more data-driven than ever before, with Google tightening up its search algorithms using machine learning.

However, you cannot rely on massive data collection alone. ML-driven tools are necessary to make sense of this data and use it logically to improve keyword planning, website traffic, rankings, content optimization, and more.

It’s only a matter of adoption and time to dive right into these technologies. 

You can leverage machine learning for your SEO strategy and content optimization to drive maximum search engine results and higher rankings.

Machine Learning


Let’s see how you can do this.

Use machine learning to optimize content for SEO:

Analyze your content marketing efforts through Google’s BERT. However, it doesn’t help to create content with quality to the fullest. It usually lacks context and provides irrelevant words and phrases. Nevertheless, AI content ranks exceptionally well in search engines because of thousands of impressions generated per month.

NLP API is the solution to this limitation of general-purpose content development. It not only helps optimize your existing content, write SEO-optimized articles from scratch, and make your search engine optimization efforts more effective.

 

Level up your SEO with AI-driven keyword research:

Keyword research is vital to rank in competitive markets. Get rid of keyword dump and take advantage of clustering in machine learning. It makes your keyword hunting easier.

Topical clusters (or content/topic clusters) and relevant keyword groups provide the foundation for good ranking in search engines. Create a full-blown and always-ready content strategy and break it down into small clusters to build your site’s topical authority. AI-driven keyword research and segmentation will add accuracy to it.

 

Use AI technologies to detect & analyze user intent:

Specific search intents of users make up keyword and content clusters. Here comes another daunting task – predicting the user intent. Get machine learning and deep learning to work for you. There are four types of search data;

  • Informational
  • Local services
  • Online Shopping  
  • Customer investigation

Determine and analyze the user intent using neuron networks that depend on search data such as URLs, search queries, meta tags, etc.

 

Wrap Up:

SEO is an evergreen field. We cannot stop practicing it. We have to plan and implement SEO strategies formulated on the new norms of the digital ecosystem and Google updates. Build a high-performing marketing strategy and make your work easier and life contented with Machine Learning SEO. Cauterization and NLP are commonly used types of ML used in search engine optimization, providing great insights for content.

 

Bottom Line

If Google uses AI technologies for more intelligent algorithms, it is unfair that the SEO service providers don’t.