Alexis Sanders says, “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 we lose sight of the overarching picture: that Google’s (sometimes magical) results are built upon an algorithm seeking conversation.

Algorithms can (and do) solve many problems, but having one match the conversational level of human beings presents an enormous challenge. Engineers at top Mountain View companies have pushed and pried to move computer science into the realm of artificial intelligence. Their wins in the world of artificial intelligence and machine learning have been impressive, resulting in a new champion in Go, appearing in local stores as pseudo-employees, and has been predicted to drive even more fruitful conversations with our now personal assistant phones. Search engines have always been at the forefront of driving the AI initiative.

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)”.

What Is Semantic Search and What Should You Do About It?

MOZ

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