Thus an algorithm that uses nlp is capable

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What does natural language processing at Google actually change for SEO? What you need to understand is that the integration of NLP into Google's search engine aims to improve the services provided to Internet users. Natural language processing technologies help algorithms better understand user queries and provide more relevant answers that are likely to satisfy them. This is all the more important for Google as these needs are dictated by changing behaviors, in particular by the growing use of voice search – itself enabled by NLP applications.

A large survey conducted inby Uberall and relayedhere shows that % of respondents use voice search every week. However, queries formulated orally use natural language and are therefore much more complex for engines to understand than generic BTB Directory queries made up of a few keywords. Consequently, as Google's work on NLP intensifies and the algorithm increasingly integrates criteria linked to natural language, it becomes essential for webmasters to optimize their pages taking these changes into account.

Since the launch of BERT, natural referencing experts have not been short on recommendations for adapting content to this new situation: write for users rather than crawlers, learn to know your audience better to respond more relevantly to their expectations, simplify the language and use a more conversational tone, work on the semantic field of the page to consolidate the context and help the algorithm understand the issues of the subject covered.