Generative engine optimization (GEO)
SEO & AI searchDefinition
Generative engine optimization (GEO) is the discipline of earning visibility inside AI-generated results: getting your brand named, quoted, and linked when tools like ChatGPT, Claude, Perplexity, and Google AI Overviews compose an answer. It extends SEO from ranking web pages to influencing model outputs.
Generative engines synthesize answers from training data plus live retrieval. GEO works both surfaces: publish clear, extractable, well-structured facts for retrieval, and build the consistent entity footprint (same claims, same numbers, same naming everywhere) that models learn to repeat.
GEO rewards different assets than classic SEO. Comparison tables, crisp definitions, original data, and consistent product facts get cited; thin duplicative pages do not. Measurement shifts to LLM mentions, AI referral traffic, and citation share.
How Savra puts it to work
Savra tracks the AI-search shift inside its SEO domain and structures your site for it, from schema to glossary corpora, so generative engines have something unambiguous to cite.
People also ask
What is the difference between GEO, AEO, and SEO?
SEO ranks pages, AEO wins the extracted answer, GEO wins presence across generative results broadly. Teams usually run them as one program.
How do I measure GEO?
Track brand mentions in LLM answers, AI referral sessions in analytics, and which of your pages engines cite. Several SEO platforms now report LLM mentions directly.
Where this lives in Savra
See how Savra puts generative engine optimization (geo) to work.
Does your brand sound like itself?
Run the free 90-second Brand Genome audit and see where your marketing drifts off-voice.