Last updated 2026-06-30
ConceptGenerative Engine Optimization (GEO)
Generative Engine Optimization (GEO) is the practice of improving how often and how favourably AI assistants recommend your brand in their generated answers — the AI-era counterpart to SEO.
What GEO covers
GEO spans the work that makes AI assistants associate your brand with the specific jobs buyers ask about: clear, consistent entity signals across the web, comparison and category content, documentation, and the citations models draw on. For the full primer, see our complete guide to GEO.
Why GEO matters
As buyers shift from search engines to AI assistants, being recommended in a synthesized answer matters more than ranking among ten links. GEO is how brands compete for that recommendation, and it is measured by whether AI actually names you.
How GEO results are measured
You can't manage what you don't measure. CiteMatrix.ai scores your AI Visibility (0–100) and AI Share of Voice from real responses across the major models, so GEO work is tied to a number that moves — never an estimate.
Run a free CiteMatrix.ai AI-visibility audit across ChatGPT, Claude, Gemini and Perplexity.
Run a free AI-visibility auditFAQ
- What is generative engine optimization?
- Generative engine optimization (GEO) is the practice of improving how often and how favourably AI assistants recommend your brand in their answers — the AI-era counterpart to SEO.
- Is GEO the same as SEO?
- No. SEO optimizes where links rank; GEO optimizes whether AI assistants name and recommend you in a written answer. They overlap because models read much of the same web, but they are measured differently.
- How do I measure GEO results?
- Track your AI Visibility Score and AI Share of Voice across ChatGPT, Claude, Gemini and Perplexity, computed from real responses. CiteMatrix.ai reports both from real model output.