GEO (Generative Engine Optimization) is the practice of optimizing content so generative AI engines (ChatGPT, Claude, Perplexity, Google AI Overviews, Apple Intelligence) cite and reference it inside their synthesized answers. The term was coined alongside AEO in 2024 and is used interchangeably by most practitioners.
The shorthand most teams use: GEO targets the citation inside the AI answer; SEO targets the citation list below it; AIO is the umbrella covering both plus AI crawler indexing infrastructure.
Effective GEO work overlaps heavily with AEO: FAQ JSON-LD, llms.txt, opening robots.txt to AI crawlers, writing question-answer-shaped content, and adding E-E-A-T signals through structured author and Article schema.
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Frequently asked
What's the difference between GEO and AEO?
Functionally, almost none. Some practitioners define GEO as the broader brand-presence game inside generative engines, while AEO is the narrow citation-inside-the-answer game. Most teams use the terms interchangeably.
Is GEO the new SEO?
GEO is additive, not a replacement. Traditional SEO still drives the citation links AI engines display below answers and still drives Google Search traffic. Run both.
What's the highest-leverage GEO move?
Ship FAQ JSON-LD on your top 3 to 5 pages. Single fastest move with measurable citation rate lift inside 30 days.
More from AIO and AEO
All termsAI Visibility
How often and how accurately a brand appears inside AI engine answers (ChatGPT, Claude, Perplexity).
ReadGPTBot
OpenAI's web crawler that indexes content for ChatGPT and the OpenAI training corpus.
ReadClaudeBot
Anthropic's web crawler that indexes content for Claude's search and citation features.
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