Generative Engine Optimization (GEO) is the practice of making your brand visible, quotable and recommended inside AI-generated answers — from ChatGPT, Gemini, Perplexity and Google’s AI Overviews.
As buyers increasingly ask an AI assistant instead of scrolling search results, being the answer the AI gives — or being named in its recommendations — becomes its own discipline. GEO makes your brand the kind of source these engines quote and trust: clearly stated facts, corroboration across the web, and strong structured data.
SEO optimises for ranking in search results. AEO optimises for winning the direct answer or snippet. GEO goes further: making your brand the one an AI model recommends when a buyer asks it to shortlist options. They overlap, and a modern programme does all three.
See the GEO playbook and AI visibility.
SEO improves your ranking in traditional search results. GEO makes your brand visible and recommended inside AI-generated answers. As buyers shift to AI assistants, GEO becomes a distinct and increasingly important discipline alongside SEO.
State your brand facts in clear crawlable text, earn consistent mentions and reviews across the web, use structured data, and publish specific, genuinely useful content. AI engines recommend sources they can quote and corroborate.
They are related but not identical. AEO focuses on winning the answer or snippet; GEO focuses on being surfaced and recommended within generative AI answers. A modern strategy addresses both.
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