In 2015, Google announced the integration of a new component in its ranking algorithm named "RankBrain". This update has proven to be a game-changer when it comes to search engine optimization. In this post, we'll dive into the definition, impact, and function of RankBrain.
RankBrain is an artificial intelligence system developed by Google that utilizes machine learning to enhance search results. It's built to interpret complex phrases and provide relevant results from vast amounts of unstructured data that Google's algorithm typically struggles with.
RankBrain has significantly altered the landscape of Search Engine Optimization (SEO). Its ability to understand complex queries and user intent has transformed how content creators produce content. The focus has shifted from producing content optimized for specific keywords to creating high-quality content that answers users' queries clearly.
Artificial intelligence (AI) is the simulation of human intelligence processes by computer systems. These processes include learning, reasoning, and self-correction. AI is rapidly evolving and has already found its way into many industries.
Machine learning refers to a process where machines learn from historical data without being explicitly programmed. The computer algorithms identify patterns in the data and use these patterns to make predictions or decisions about new data.
Search ranking factors are elements that search engines use to determine the relevance of a web page's contents concerning specific keywords or phrases. These factors include on-page elements such as content quality and structure, backlinks, user behavior, mobile-friendliness, and more.
The best way to optimize for RankBrain is by creating quality content that resonates with your target audience. Embrace a user-first approach when developing your pages rather than prioritizing keywords.
Here are some useful resources to learn more about RankBrain:
