Larry Page, Google’s CEO could have been speaking about his vision for Google’s search engine when he described the perfect search engine as “understanding exactly what you mean and giving you exactly what you want.”
Google’s wants to understand exactly what we mean when we perform a search. In other words, when I type in the term “apple,” am I referring to a fruit or the biggest electric goods company in the world? It’s Google’s job to figure that out.
In Google’s most recent updates, the search engine announced it was using an Algorithm called BERT in 100% of its searches. BERT helps Google understand the search intent for longer-tail keywords in the form of questions or phrases. This update reflects Google’s emphasis on understanding searcher intent - what is the intent behind the words.
Let’s do a comparison between Google and something that would focus on ore defining results - a stock image website for example. When you search for “happy white women” on a stock photo website, it's job is to say, "Happy White Women? I know what that looks like. Here's all of the images I have of happy white women."
Now let's say you make the same search on Google. Google's Algorithm, Bert, is going to say "Happy White Women? I've had _______ many people make searches that include that phrase, and they've ended up to be looking for one of these things. Here's all those things!"
This is heavily affected by volume! Let's say "happy black women" is a much more often used term than "happy white women." If that's the case, the images, articles, and videos that show up for these two searches are going to be very different!
You can see these vast differences yourself with a practical exercise:
Special thanks to Jon Gordon who contributed to the original version of this article.