Semantic search launched in 2013 with the release of Google's Hummingbird. Since then, Google's search engine has become more complex at a rapid rank. The integration of ML, with RankBrain, and NLP, with B.E.R.T, has enabled the search engine to better understand the context of a query and deliver more personalized and targeted results.
In this video, I share what SEOs need to do today to thrive in the age of Semantic Search. I'll discuss the importance of creating machine-readable content using structured data and the power of leveraging linked open data to help search engines better understand your content.
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🎬 An Introduction to Structured Data: How Markup Helps Search Engines Understand Context: [ Ссылка ]
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