Information Gain Score is a metric used in information theory and machine learning to measure the effectiveness of a feature in splitting a dataset into classes, or the reduction in uncertainty or entropy after a dataset is divided based on that feature. In SEO and content optimization, it can refer to the value added by specific content elements or keywords in terms of user engagement or satisfaction, though its direct application in SEO is less common and more conceptual.