Among other things, Machine Learning algorithms are known for their ability to analyze large data sets and learn from user behavior. But what we’d like to focus on in this post is their breakthrough ability to improve search rankings. If you want your company to stay ahead of competitors, quickly adapt to new market realities, and create content that isn’t just high quality but also user-centered, incorporating ML in SEO is a must.
Google, AI, and ML
The world’s biggest search engine company has tightened up its algorithms. Today, it is focused on using Machine Learning and Artificial Intelligence. The task of these algorithms is to evaluate user behavior when searching for relevant content.
What does this do to marketing in general? Marketing has become more data-driven, going far beyond simple data collection. For Google, Machine Learning makes sense of collected data. And even though Google is one of the early adopters, it’s a matter of time before SEO express and content makers adopt this technology for data-based insights on rankings, keywords, content, traffic, etc.
Web platforms built on C# vs Python will be next in line to incorporate AI and ML tools for SEO. How so? Python is the top coding language for AI and ML-based projects dealing with large data sets. The language’s versatility and syntax simplicity make it less challenging to study. For its part, C# is also highly competitive, helping to implement ML into desktop, mobile, and web apps.
How to Use Machine Learning in SEO?
There are several ways you can include Machine Learning in your SEO strategy.
Keywords: Research & Selection
How long does it take your team to check through endless keywords before they choose the best matches? With Machine Learning algorithms, it’s easy to complete. Once you have a spreadsheet of keywords, ML can be used to analyze relevant and long-tail keywords, trends, user intent, competitiveness, and more.
On-Page Optimization: Enhancement
ML algorithms can work around the clock to refine your website for users and search engines like Google. Machine Learning is perfect for tuning up tags and titles, checking the website’s structure and layout, flagging layouts, delivering insights, and analyzing all the whys behind clicks.
Content: Creation and Optimization
ML algorithms can even be applied to content. They help generate content automatically, create personalized recommendations, apply natural language processing technologies, optimize images and video, implement A/B testing, predict trends, integrate chatbots, leverage voice search, and translate.
UX and Engagement: Improvement
What does SEO success rely on? It’s about user experience. The thing is that Google and other search engines give preferences to websites that can deliver captivating UX. Thanks to ML algorithms, it’s possible to quickly analyze end-user behavior via a set of metrics. These are the conversion rate, click-through rate, bounce rate, user segmentation, session duration, and optimization of A/B tests.
Off-Page SEO and Linkbuilding: Boost
It takes time, effort, and nerve to find good link partners. To save time, Machine Learning can analyze the web and hidden links by applying quality checkers and competitor checkers. This will help to 1) detect web pages with high domain authority and relevant content and 2) reveal competitors’ backlink profiles.
SEO Performance: Tracking & Analysis
AI and ML are super helpful for measuring a marketing strategy’s effectiveness. Machine Learning delivers highly detailed analytics as well as insights beyond traditional SEO metrics (patterns, sets of data, and predictive analytics).
What Future Has in Store
Artificial Intelligence and Machine Learning are expected to become cornerstones of SEO. However, marketing managers believe this could raise ethics, user security, and privacy concerns. In the future, marketing teams will need to navigate these waters slowly and carefully to guarantee user safety and transparency.
Here’s a brief list of future AI & ML in SEO:
- Visual/voice search
- AI-generated articles
- Extremely high personalization
- Ethical use of AI
Yet, the future holds some ML-related secrets we don’t know yet, and the probability is high that AI and ML will contribute positive results to the marketing and SEO world.
Summing Up
We are lucky enough to live in an era of the world’s best technologies. Machine Learning is one of them. ML helps to develop, stay competitive, grow, and achieve better results. It shifts the attention from content only to user-focused content. Embracing the best sides of Artificial Intelligence and Machine Learning to navigate the ever-changing digital world will lead to corporate and personal success. Don’t hold back. Move forward, support development, and witness results others can only dream about.
