We detect suspicious audiences and fake engagement by combining behavioral and content signals from the rolling L30D window - abnormal follower churn, engagement spikes vs. cadence, bot-like comment patterns, view/like ratios, audience geo/language mismatches, and subnet/source concentration. Semantic AI flags irrelevant or recycled content; results yield fraud scores and engagement-quality diagnostics for each profile.