Researchers trained a machine‑learning model to detect AI‑generated web content using only structural features of the pages, such as HTML layout and tag patterns. The method avoids reliance on lexical or semantic cues, aiming for robust detection across diverse sites. Experiments show the model can distinguish synthetic from human‑written content with promising accuracy.