AI in SEO, SEO Old Fashion in the Era of Artificial Intelligence

[hmonower921]

AI in SEO has been my hobbyhorse for 9 years. I wondered how it would be possible to outsmart the system and in an automated way, using artificial intelligence, predict the effects of actions taken by SEO specialists and website positioning. Until now, everything is based on trust in the knowledge and experience of an SEO Specialist. Because I also belong to this group, I know that all good practices are based on very questionable tests, analyses or comparisons. All kinds of tables with listed parameters affecting our visibility, positions in search results are based on tests conducted in questionable conditions. The Google algorithm ( RankBrain Artificial Intelligence ) is changing.

The conditions in which these tests are conducted are therefore not comparable. Such results certainly cannot be considered as conducted in conditions that entitle them to be called scientific. At one time I had a short discussion with one of the key members of my team about whether we should rely on the tests, comparisons of our dear colleagues from MOZ, Elephant or the PIO forum.

You can imagine that, given the introduction and my approach, I opted to focus on our data, on collecting it and making the conditions in which we relate it to each other and compare it australia whatsapp data credible. I suggested that published tests and analyses on how important this or that parameter is be put in the category “look for inspiration here” and direct all attention to the category “Let’s collect reliable data in bulk”.

How can SEO use Artificial Intelligence?
Artificial intelligence (AI) is a field of computer science focused on creating systems that can perform tasks that require human intelligence, such as pattern recognition, language understanding, or planning. In short, it is the process of imitating human thinking using computer algorithms. Machine learning, a subfield of AI, focuses on creating models that learn and adapt based on available data without the need for explicit programming.

In the context of SEO, the importance of AI is growing rapidly. Search engines like Google are increasingly relying on AI technologies to improve their algorithms, better understand user intent, and deliver more precise and personalized search results. This means that SEO professionals must embrace advanced technologies and adapt their strategies to keep up with the evolving search landscape, where AI plays a key role.

History of AI in SEO
The history of artificial intelligence (AI) in the field of search engine optimization (SEO) is a fascinating journey through technological evolution. In the early years of search engine development, algorithms were relatively simple and mainly based on keywords and their density in the content. However, over time, as the complexity and amount of content available on the web increased, the need for more advanced techniques arose to provide users with the most relevant results. This is when the era of using AI in SEO began.

One of the first breakthroughs in this regard was Google’s RankBrain algorithm in 2015. It was a machine-learning-based system that helped interpret user queries in the context of all the content available on the web, rather than just based on literal word matching. RankBrain became one of the most important ranking factors, and its success encouraged other industry giants to explore the possibilities of AI.

In the following years, search engine algorithms have become increasingly advanced, integrating deep learning techniques, semantic analysis, and context understanding. As a result, today's SEO requires not only keyword optimization but also an understanding of complex algorithms that are largely driven by artificial intelligence technologies.