Search Engine Optimization (SEO) has to do with getting your website to rank as high as possible for a specific term. This multi-faceted process involves both on-page and off-page factors (e.g., generating a link-building strategy, optimizing page loading speed, and reverse engineering Google’s AI). Since Google doesn’t share its algorithm with anyone, we must dive into what’s known as computational thank you (a.k.a. deep learning) to understand how to work our way to the top of Google’s SERPs.
What is the deep mind?
In 2010 the deep mind was launched based on a new AI algorithm known as reinforcement learning. By 2013, it could beat humans at Atari games Because of how it was able to mimic the human brain in learning from training and repetition. In 2014 Google acquired access to this technology. By 2017, A new model was released that didn’t require any human training or labeling of data. This model is known as AlphaGo.
While all of this was happening, the search engine optimization world was hyper-focused on Google’s backbone: PageRank. This is because, in 1995, Larry Page and Sergey Brin started collaborating on a project nicknamed “BackRub.” Their goal was to build a search engine that used backlink data to rank web pages by importance. Hence a whole new world of search engine optimization was born.
What is deep learning?
This is the most common type of machine learning used today. In fact, it’s so common that it’s impossible for Google not to use it. Deep learning is significantly influenced by the deep mind. Essentially, it’s a form of machine learning architecture with many hidden layers. Its deepest layer contains the most sophisticated patterns it’s learned. You can combine a fully connected network with other machine learning functions. In doing so you’ll be able to create a variety of deep learning architectures. As complex as this may sound, you may find yourself wondering what this has to do with search engine optimization.
How does Google use deep learning?
Google’s spiders (a.k.a. bots) follow hyperlinks which are like neurons in how they connect websites together. Google started using this in the early days of search engine optimization and still uses it today.
Once Google finds a web page, it uses a variety of AI to help it analyze and prioritize the information it’s found. This is done based on internal metrics and very little human help.
Unfortunately, people who attend search engine optimization conferences find themselves becoming frustrated by Google’s engineers. This is because the engineers can’t properly articulate how Google works. In fact, it’s quite common for them to repeatedly give the same answer. They’re told to focus on building valuable content. While this answer contains important information, it’s far from being comprehensive.
So why do Google’s experts fail to be helpful with their answers? It’s because these executives can’t properly answer the question. All they know is that deep learning operates based on input and output, but they themselves don’t have any real answers either.
How can you put all this to work for your website?
There is a lot to be said about the deep learning technologies that Google uses. The point here is that instead of trying to game the system, your search engine optimization strategy should be to provide your users with as much value as possible. With so many ways of doing this (e.g., keeping your content updated, acquiring backlinks, and providing users with valuable information), it can be challenging to keep up with everything. Therefore, we’re here for you at Local SEO Tampa Company in Tampa, FL, so contact us today.