Structural Feature Engineering for Generative Engine Optimization: How Content Structure Shapes AI Citation Behavior
arXiv·medium signal
Empirically investigates how the structure of web content (headers, lists, tables, formatting) influences whether AI-powered search engines cite it. Finds that structural features significantly predict AI citation behavior, independent of content quality. Directly relevant to anyone publishing technical content or documentation who wants AI systems to surface and cite their work — a new SEO discipline emerging around generative engines.