1. Understanding how Google's algorithms analyze queries

When you launch a search on Google, the query undergoes various processing operations based on artificial intelligence methods. Introduced in 2015, RankBrain is a component of Google's search algorithm that uses machine learning to interpret and process queries. This algorithm learns continuously, based on previous queries or results selected by web users. This enables predictions to be made about the intentions corresponding to queries, even unusual or never-before-seen queries. RankBrain converts queries into "vectors", i.e. sets of words or concepts expressed in numerical form.

Appearing in 2019, the BERT algorithm complements RankBrain with a better "understanding" of the context and relationships between words in the query.

The engine's aim is to provide users with relevant results, even if the exact words of the query do not necessarily...