Generative Engine Optimization, or GEO, is the process of improving content so generative AI systems can understand, trust, and reference a business in their answers. Traditional SEO focuses on ranking pages in search engine results lists. GEO focuses on ensuring that when AI tools like ChatGPT, Google Gemini, Perplexity, or Microsoft Copilot generate a response to a relevant question, the business is included—cited, mentioned, or recommended—rather than overlooked in favor of competitors. 

The tactics that drive GEO results include building clear entity signals (helping AI systems understand exactly what a business is, what it offers, and where it operates), publishing content that directly answers the questions AI systems are asked most often, earning mentions from credible third-party sources, and structuring pages so that AI systems can easily extract accurate information rather than guessing or hallucinating details. 

GEO and traditional SEO are complementary. A strong SEO foundation—technical health, content quality, backlink authority—supports GEO results because AI systems tend to draw from pages that search engines already consider credible. But GEO requires additional work beyond what SEO alone produces, particularly around entity clarity, structured content, and the breadth and quality of third-party citations.