Definition: RankBrain is a machine learning-based algorithm used by Google to help process and understand search queries, particularly those that haven’t been seen before.
Alternative Names: Google RankBrain
Expanded explanation: RankBrain is a part of Google’s overall search algorithm, using machine learning to translate written language into mathematical entities. This allows the algorithm to understand the intent behind search queries and provide relevant search results, even for unique or uncommon queries.
Benefits or importance: RankBrain improves the accuracy and relevance of Google’s search results. It’s capable of understanding nuanced or ambiguous queries, helping to deliver more accurate results for users. For businesses, understanding the workings of RankBrain can help in optimising SEO strategies to align with its functioning.
Common misconceptions or pitfalls: A common misconception is that RankBrain can be optimised directly. In fact, RankBrain is not a standalone algorithm that can be optimised separately. Instead, SEO strategies should focus on creating high-quality, relevant content that aligns with user intent.
Use cases: RankBrain comes into play when users make unique or ambiguous search queries. For example, if a user searches for a non-specific phrase, RankBrain helps interpret what the user may be looking for based on similarities to other queries and additional context.
Real-world examples: Suppose a user types in ‘space film released in 1977’. While the user doesn’t mention ‘Star Wars’, RankBrain is able to infer that ‘Star Wars’ would be the most likely result that the user is searching for.
Best practices or tips:
- Focus on User Intent: Try to understand what users are likely to be looking for when they type in certain search queries.
- High-Quality Content: Produce high-quality, engaging content that answers user queries effectively and thoroughly.
- Use Relevant Keywords: Including relevant keywords that align with user intent can help RankBrain identify your content as a match for specific queries.
Limitations or considerations: RankBrain is just one part of Google’s search algorithm and not all queries are processed by it. It’s most effective with unique or ambiguous queries. For commonly searched terms, traditional SEO factors are likely to have a greater impact.
Comparisons: Other search engines like Bing or Yahoo may use similar machine learning techniques for their algorithms, but their exact mechanics and efficacy differ.
Historical context or development: Google introduced RankBrain in 2015 as part of its efforts to improve the relevancy and accuracy of search results.
Resources for further learning:
- Search Engine Journal: How Does Google’s RankBrain Affect SEO in 2016?
- Moz: What is Google RankBrain?
- SEO Services: Our digital agency provides comprehensive SEO services, which include creating content that aligns with user intent and Google’s search algorithm, including RankBrain.
- Content Marketing Services: Turn to our experts in content marketing to help improve your SERPs ranking.
- Optimisation Services: Ask us about on-page optimisation to help your website offer more relevant information.
Related terms: Machine Learning, SEO, Google’s Search Algorithm, User Intent