Google RankBrain
A machine‑learning component of Google‘s ranking algorithm that handles unique queries.
RankBrain is an AI system that helps Google process search queries it has never seen before (about 15% of all queries) and adjusts results based on user behaviour signals (CTR, dwell time).
What is Google RankBrain
RankBrain is a machine‑learning system introduced by Google in 2015. Its job is to interpret complex or unique queries the algorithm hasn‘t seen before. RankBrain tries to guess what the user meant and match the query to the most relevant pages, even if they don‘t contain exact keywords.
Importance in ranking
In 2015, Google representatives called RankBrain the third most important ranking factor (after content and links). This highlights how much AI algorithms influence search results. Other signals (e.g., Core Web Vitals) may have shifted the order since then, but RankBrain remains a core component.
How RankBrain uses behavioural signals
RankBrain analyses user behaviour after a click:
- CTR (Click‑Through Rate): How often users click on a result.
- Dwell time: How long users stay on the page after clicking before returning to search results.
- Pogo‑sticking: If users quickly bounce back to the SERP, it signals the page didn‘t satisfy the query.
Based on this data, RankBrain adjusts page rankings in real time, promoting pages that better retain users.
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