Google utilizes a machine-learning framework to identify what constitutes helpful content. This system is trained on examples categorized as either 'helpful' or 'unhelpful,' which are provided by Google's quality raters. While the specific algorithms and complexities behind this model are not publicly disclosed, we do know its intended purpose: to reward content that aligns with Google's criteria for being helpful. The more closely our content adheres to these guidelines, the more likely it is to be favorably ranked within Google's intricate algorithms and systems.