Are we nearing the time where computers with AI (Artificial Intelligence) will be taking over the world? Well, we can say that when we talk about SEO (Search Engine Optimization) to the least. An article written by Scott Stouffer elaborately discusses the utilization of artificial intelligence to basically solve SEO problems.

SEO management has significantly changed through the years due to the changes in the algorithms of the search engines. To adapt to the constant evolution of SEO, Stouffer suggests establishing a “self-calibrating” search engine model to correlate the modeled data with that of the real world. To put it simply, a program built within the context of SEO and be able to aggregate, segregate, and correlate data, is the answer to most, if not all of the SEO challenges that can be faced.

Particle Swarm Optimization



One solution Stouffer presented was the Particle Swarm Optimization (PSO), which according to him was modeled on the concept of bird-flocking.

According to Stouffer:

“The optimization is really quite remarkable. In fact, all of our rules-based algorithms that we have invented to-date still cannot be used to find approximate solutions to extremely difficult or impossible numeric maximization and minimization problems.
Yet, using a simple model of how birds flock can get you an answer within a fraction of time. We have heard the gloom and doom news about how AI might take over the world someday, but in this case, AI helps us solve a most amazing problem.”

The PSO was actually developed way back in 1995 as a model of social behavior. Now, using the same principle, it may be used in SEO by transparently connecting scoring inputs with non-personalized search results. This gives us the ability to connect correlation and causation.