Clicks are considered raw signals in Google's ranking system, but they do not directly influence search rankings; instead, they are aggregated and processed to train AI models like RankEmbedBERT, which help determine relevance and quality for ranking decisions. The distinction between raw data and processed signals is crucial in understanding how Google uses click data in its algorithms.
The key insight from this content is that clicks are not direct ranking factors in Google's search algorithm; instead, they serve as raw data inputs used to train AI models like RankEmbedBERT. This understanding allows you to focus on creating quality content that aligns with user intent and engagement, leveraging clicks as part of broader data sets that enhance AI training for relevance and quality signals rather than directly influencing search rankings.