Query Intent, Not Google Rank: What Best Predicts AI Citation Behavior

The rapid integration of AI chatbots into consumer search behavior has spawned a cottage industry of Generative Engine Optimization (GEO) advice, much of it built on untested assumptions about how AI platforms select sources for citation. Industry practitioners widely assert that Google ranking determines AI visibility, that community-consensus platforms like Reddit confer citation advantages, and that AI recommendations are too inconsistent to warrant optimization efforts. We tested these claims empirically across four major AI platforms - ChatGPT, Claude, Perplexity, and Gemini - using a multi-study design that combined large-scale query intent classification (n = 19,556 queries across 8 verticals), Google rank cross-referencing (120 queries via API, plus 100 queries via web UI against both Google and Bing Top-3 results), server-side fetch verification via Vercel middleware logging, and page-level technical analysis of 479 cited and non-cited pages. Our results challenge all three prevailing claims. These findings suggest that effective GEO strategy requires intent-aware, platform-specific optimization rather than the one-size-fits-all approach currently advocated by industry practitioners.