Query Intent and Google Rank as Joint Predictors of AI Citation: A Multi-Platform Observational Study

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 refine all three prevailing claims. Query intent shaped citation source-type distributions across verticals, but at the individual-page level Google rank dominated all other predictors: a logistic regression with log(Google position) alone achieved cross-validated AUC = 0.802 and McFadden R² = 0.203, far exceeding intent-only (AUC = 0.462) and page-feature-only (AUC = 0.594) baselines. A larger replication on 94,599 citation events (Lee, 2026c — the SEO Floor study) found a steep monotonic position gradient: URLs at Google position 1 were cited 54% of the time, dropping to ~2% at position 100, with every platform showing a 13–22× citation-rate ratio between Top-3 and positions 31–100. Reddit received zero AI citations via API despite occupying 38.3% of Google Top-3 positions, though web UI responses cited Reddit at 8.9–15.6%. We further document an architectural divide between live-fetching platforms (ChatGPT, Claude) and index-only platforms (Perplexity, Gemini). These findings suggest that effective GEO strategy requires intent-aware, platform-specific optimization grounded in the real per-page rank gradient, rather than the one-size-fits-all approach currently advocated by industry practitioners.