Generative Engine Optimization (GEO): SEO for the age of artificial intelligence.

Generative Engine Optimization (GEO) (AI Search Optimization) is the strategy designed to increase brand visibility in search environments powered by artificial intelligence, such as generative search engines and AI answer systems. GEO goes beyond traditional SEO by focusing on context, semantics, authority, and clarity, ensuring that a brand is correctly interpreted, cited, and recommended by AI systems. Rather than optimizing only for rankings and links, GEO prepares brands to be present where answers are generated, shaping how AI understands and references digital authority.

No. GEO complements SEO. While SEO focuses on classic search engines, GEO prepares your brand for AI-driven search environments.

It works for most businesses, but delivers the strongest results for brands that produce content or seek thought leadership.

It depends on your current authority. In most cases, early impacts appear between 30 and 90 days.

No. We focus on strategic optimization for existing platforms like ChatGPT, Gemini, and Perplexity.

No. LLM and GEO are related, but they are not the same thing. LLM (Large Language Model) refers to the technology itself, large-scale language models powered by artificial intelligence, such as those used in AI search engines and assistants. These models interpret questions, context, and natural language to generate answers. GEO (Generative Engine Optimization), on the other hand, is the strategy. It is the set of practices that prepares content, brands, and websites to be correctly understood, cited, and recommended by these AI models during generative searches and AI-driven responses. In simple terms: • LLM = the engine (the technology) • GEO = the optimization for that engine Just like: • Google is the search engine • SEO is the strategy to appear in it LLMs are the foundation of generative search, and GEO is the strategic way to work brand visibility within this new search landscape.