What is Content Relevance in SEO?
Google tries to understand the page content and natural language better. The goal is to offer the best answers to people using the engine and benefit its paid program (Google Ads). The BERT algorithm focuses on content relevance via assessing the context of words in searches and matching those queries with HQ results. BERT is a natural language processing NLP framework trained on Wikipedia and tweaked with questions and answers datasets. BERT changes the way Google interprets queries because people are using longer, natural, and complex questioning queries. It will benefit international SEO when the datasets are ready to run in the algorithm. We are way past the artificial copy used in SEO to game the rankings. To recap, creating content in natural language, not focusing on keywords in a text that doesn't make sense, and writing in the current language of the targeted country, are best practices.