AIO Terminology: AEO, GEO and LLMO explained

AIO (AI Optimization) is the umbrella covering all AI surfaces. Inside it sit three distinct disciplines with different goals. Here's how to tell them apart — and the one metric that ties them all together.

The landscape

AIO is the umbrella over every AI surface

AIO (AI Optimization) covers optimization across ChatGPT, Gemini, AI Overviews and every other AI surface — AEO, GEO and LLMO are the three disciplines inside it. (Some articles use "AIO" narrowly as "AI Overview Optimization"; we use it as the umbrella term.) SEO remains the foundation beneath them all.

Definitions

Five terms, clearly defined

Term Full name Goal (what "winning" means) Main surfaces Origin
SEO Search Engine Optimization Rank in the list of links. "#1" = first blue link. Google / Yahoo SERP Classic
AEO Answer Engine Optimization Get into the direct answer, not the link list. Fastest to show results (1–3 months). Featured snippets, voice assistants, AI Overviews block Predates generative AI
GEO Generative Engine Optimization Become a source the generative engine cites in its synthesized answer. Not "#1" — one of the few sources the AI picks. ChatGPT, Perplexity, Gemini Academic paper, 2024
LLMO Large Language Model Optimization The longest horizon: the model itself knows your brand correctly, via training data and durable web-wide signals (6–12+ months). The LLM's own knowledge Olaf Kopp (2023)
AIO / GAIO (Generative) AI Optimization Umbrella: optimize across all AI surfaces at once. All AI surfaces GAIO coined by Philipp Klöckner

The north-star metric is AI visibility

AI visibility is the measurable outcome: how much and how your brand appears in AI answers. The core metric is share of voice in AI answers. AEO, GEO and LLMO are all methods that point to this one number. It is exactly what Suparanku measures — the Visibility axis in its five-axis analysis.