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FOCUSAMAZON ·O+O ·AI SHELF
COMPOUND COMMERCE
22
CategoryAI & Discovery
UpdatedApril 2026

What are GEO and AEO?

Definition

GEO (Generative Engine Optimization) is the practice of structuring content so that large language models — ChatGPT, Claude, Gemini, Perplexity — cite it as a trusted source when generating answers. AEO (Answer Engine Optimization) is the narrower discipline of optimizing for AI-powered answer features inside search engines, like Google's AI Overviews. Most practitioners use the terms interchangeably; AEO is technically a subset of GEO, focused on the answer-retrieval layer.

What's actually different from SEO

Traditional SEO optimizes for ranking on a results page. GEO and AEO optimize for being the source an AI cites in a generated answer. The mechanics shift: keyword density matters less, semantic clarity and structured information matter more. Content has to be unambiguous, machine-parseable, and traceable. Schema markup, clear topic structure, named-entity precision, and authoritative source citations all matter more than they did in classical SEO.


What this means for commerce specifically

Most GEO/AEO writing addresses a general marketing audience. Commerce changes the stakes. When a shopper asks what's the best moisturizer for sensitive skin under €30 and Rufus or ChatGPT answers with three product recommendations, your appearance in that answer is binary — you're cited or you're not. There's no second page. The brands building durable presence across AI-driven discovery are doing three things consistently: ensuring product detail pages contain machine-readable claim hierarchies (not just images), structuring schema markup at the product and brand level, and building authoritative third-party content (reviews, expert citations, structured comparison tables) that LLMs can reference back to.

Frequently Asked Questions

Is GEO/AEO the same as SEO?

No. They overlap but optimize for different outputs. SEO targets search rankings; GEO targets LLM citation; AEO targets AI answer-feature inclusion. A brand needs all three, run as related but distinct disciplines.

Which AI assistants matter most for commerce?

Rufus on Amazon, ChatGPT (with shopping features rolling out in select markets), Google AI Overviews, Perplexity, Gemini. The relative importance is shifting fast — measure presence in all of them at least monthly.

How do I measure GEO/AEO success?

Direct citation tracking (does the AI cite your URL or product?), branded mention monitoring (does the AI mention your brand by name?), and conversion tracking (do AI-driven sessions convert at the same rate as classical SEO traffic?). Tooling is early — most measurement is manual or semi-manual today.

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