Semantic search refers to the ability of search engines to consider the intent and contextual meaning of search phrases when serving content to users on the web. At one time, search engines could only analyze the exact phrasing of a search term when matching results with a search query.
SEO specialists spend massive amounts of effort trying to get Google on our side — to see the brilliance of our content, the ingenuity of our meta elements, and the genius of our organic strategies. We spend so much time treating Google as a metaphorical friend that we sometimes lose sight of the overarching picture: that Google’s (sometimes magical) results are built upon an algorithm seeking conversation.
Since its beginnings, Google has been pushing search results into the realm of natural conversation, and a huge component of its strategy has been categorized under the umbrella of semantic search and, subsequently, machine learning algorithms (think: RankBrain).
So, when it comes to showing up in Google, what does it take to rank #1 now? Many of the following elements will come back to the idea of a simple conversation
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