RankBrain is one of the most profound changes that have happened to how Google processes and understands the search query. It is not just about matching keywords, but it uses machine learning to understand what a search means, especially when a query is complex, conversational, or confusing. Instead of just using algorithm processes alone, RankBrain eats up terabytes of data and correlates lucky patterns through words, phrases, and concepts. That way, it understands more of the intent of the user, which can be intuitively well-refined search results even when the query does not have the specific keyword that the page has been optimised for. For example, the long-tail search is the most efficient employee of RankBrain among other types. Long-tail search contains specific queries that are often longer and quite different types of queries that usually mirror something very specific the user is looking for. The search itself understands context, combining previous searches and other signals to analyse the user’s searching intentions better. That is more personalised, intuitive, and high-quality content user-oriented addressing real users’ needs in every search result. Even if best practices in SEO still apply, it conveys that keyword stuffing would not suffice when seen through RankBrain, but rather offers the need to create genuinely helpful and informative content.