How to Predict Google’s Algorithm Changes

One of the ways you can become an SEO expert is to learn all about Google’s secret algorithm. Its algorithm dictates everything that happens in Google’s search result. The algorithm is the key that can unlock insane amounts of wealth, but it can also be the penalty that can ruin your online business.
It sounds like a crazy task to try to understand the algorithm, but there are ways. After years of learning, teaching, and watching SEO in action on thousands of different websites, I have developed a process for predicting Google’s algorithm changes.
And no, I don’t have all the answers. I’m not pretending to have some prophetic insight into Google’s next move, and this isn’t some scammy tell-all about the latest algorithmic loophole.
This is a practical how-to guide that equips you with knowledge that will help you make a good guess at how the algorithm is going to change over time.

Discover the known facts about the algorithm

In order to understand how the algorithm will change in the future, you first need to understand what it looks like right now.

Many articles have been written on the Google Knowledge Graph and its impact on SEO, but have you given thought to how the Knowledge Graph potentially impacts your content strategy — or even your entire revenue model?

For many publishers, it’s time to take stock of how to work with the Knowledge Graph and how content strategy and revenue models may need to adjust with this shift in organic search.

The Knowledge Graph was designed to provide information about people, places and things (i.e., entities). Google gathers information to supply answers via the Knowledge Graph from a variety of sources, including Freebase, Wikipedia and select websites Google has indexed. When Google pulls Knowledge Graph information from websites, it does so without permission from website owners.

While the Knowledge Graph is potentially helpful for searchers, helping them find information faster, the addition of this information to the search results may likely mean a reduction in clicks to the websites in the SERPs. Take this search for [bengal tigers], for example. If a searcher can glean the information needed from the knowledge graph, why click on the Wikipedia entry?