This study examined whether rubric-aligned generative-AI features could augment established linguistic features in trait-based automated essay scoring. Features from both sources showed meaningful associations with human scores and only partial overlap with one another. Scoring models combining both feature sets produced modest improvements that varied across traits and evaluation metrics.