Leveraging AI for Topical Authority in the US

No one on the outside has a complete understanding of how these algorithms work, but frequently try to discover elements of these algorithms in order to do good SEO. However, Google frequently provides guidance on how this AI system processes search results. And what's clear is this: The AI that powers Google search is optimized to provide the best result for every search.

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Today, there's no genuine way to "beat the algorithm" outside of creating exceptionally high quality content created for human beings. RankBrain is a core piece of AI at the heart of Google search. This system helps Google browse comprehend which subjects belong to your search. This enhances search engine result accuracy, because Google is often able to identify what you're looking forand prevents confusing your search terms with similar sounding subjects that have absolutely different meanings.

BERT utilizes AI in the form of natural language processing (NLP), natural language understanding (NLU), and sentiment analysis to process every word in a search query in relation to all the other words in a sentence. This is different from how Google search utilized to work. In the past, Google's AI processed words one-by-one in order.

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Google shares that a search like "2019 brazil tourist to u.s.a. require a visa" would have been translated in the past as an US traveler desiring a visa to Brazil. In that scenario, Google didn't account for prepositions that change the context of searches. It wouldn't have taken the word "to" into account, which fundamentally alters the search intent.