What are Search Engine Algorithms?

Search Engine Algorithms are the secret sauces Google and Microsoft have cooked up to steer us to the websites they believe we are seeking, via the search parameters we entered into their single-line search boxes.

Search engine algorithms are complex predictive data processes driven by machine learning and artificial intelligence (AI), based on the billions of data inputs from around the world have entered into these companies’ data repositories.

In theory, the process is simple. Search algorithms fetch and display content based on the words we entered in the search bars. That is called search intent, and algorithms get more refined and sophisticated based on the quantity of inputs provided, our geolocations, and search intent history.

Typically, search intent means a user’s internet search behavior enacted for the purposes of seeking information. One kind of intention, for example, is seeking to purchase branded products or services. A second intention could be directed towards trying to solve a specific problem, like how to repair leaky plumbing or replace a head gasket. Lastly, users could be conducting general online research to broaden their understanding and knowledge about their own personal interests, for example cooking, traveling, religion and world cultures.

Search engine algorithms work in a similar way as physical book libraries; information is stored or indexed, then retrieved when someone requests it. Search engine results that appear on search pages following an executed search are influenced by paid advertising and organic content marketing.

To learn more about improving your organization’s search engine results, read the Knowledge Base entry ‘How Do I Optimize My Website for AI?’