When Google Says GEO = SEO (www.aivojournal.org)

Google product VP Robby Stein told Lenny’s Podcast that Google’s AI search still performs a “query fan‑out”—it expands a user prompt into dozens of background searches and applies the same ranking and quality signals (intent satisfaction, originality, source citation, authoritativeness) that power traditional SEO. In other words, Google frames GEO/AEO as an extension of SEO: retrieval and ranking remain governed by the same infrastructure, and AI sits on top of that engine rather than replacing it. AIVO argues that stops short of the real visibility problem: once a model generates text, ranking dissolves into probabilistic recall and entropy can erase or re‑weight entity mentions across sessions. GEO dashboards measure inclusion at retrieval; they don’t capture assistant volatility. The AIVO Standard introduces a governance layer and a Prompt‑Space Occupancy Score (PSOS™) to quantify how often and how prominently entities surface, model interventions to stabilize exposure, and verify statistical reproducibility (example: a five‑day Gemini audit saw a brand’s inclusion rate fall from 62% to 41% with identical prompts and model versions). The takeaway for AI/ML practitioners: optimization must be complemented by reproducible governance—fixed prompt libraries, version logging, entropy‑weighted normalization and continuous PSOS monitoring—to turn stochastic recall into auditable visibility.