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Even in 2012, I think Google was lying to the white hat world. But things have changed over the past three years. Google has eliminated old SEO practices. Google has introduced an effective algorithm that targets intentional links and content. In addition, it has created fear and uncertainty for webmasters regarding penalties. Evolution of understanding search intent Amidst these changes, Google has also evolved in other ways. Understanding search intent. Let's take a few examples. Example 1: Understanding search intent Query: best beef in seattle Google: I don't think you're looking for pages that have a lot of the word "beef" in them. Search results: Steakhouse special pages on gourmet sites, etc.
Example 2: Understanding language, not keywords Query: movie where they make fun of star trek Google: Oh, I know this movie! Search results: Galaxy Quest movie page etc. Example 3: Understanding information freshness Query: best marketing conferences Google: I don't think we need an old page about India Phone Number this. Search results: information page for upcoming conferences, etc. Google can now distinguish navigational queries from informational queries. It also allows entities to be associated with topics and keywords. During that time, brands also began to take the form of entities. These efforts are making Google more consistent with its public claims. Much of what they advocate is consistent with today's best practices in search marketing.
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Introducing Machine Learning While making these improvements, Google's search quality team was also making changes. It's machine learning. Early on, Google denied using machine learning in its ranking algorithms. However, in 2012, Google published a paper that utilized machine learning to predict the CTR of advertisements. Engineers were working on building a system called "SmartASS." Then Google started talking about machine learning and natural search in public.
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