GEO (Generative Engine Optimization)
Generative Engine Optimization (GEO) is the practice of improving how your brand appears in AI-generated answers the AI-era counterpart to SEO.
What is GEO?
Generative Engine Optimization (GEO) is the discipline of getting your brand named, cited and accurately described in the answers AI engines generate across ChatGPT, Gemini, Perplexity, Google AI Overviews and Copilot. Its goal is to grow your AI Visibility.
You will also hear it called answer-engine optimization (AEO) or LLM optimization. The terms overlap: all describe optimising for AI answers rather than ranked lists of links.
GEO vs. SEO
SEO optimises for where your pages rank in a list of links. GEO optimises for whether your brand is part of the generated answer itself, and how it is portrayed there.
They share foundations quality content, authority, and crawlable pages but a strong organic ranking no longer guarantees the model mentions you. GEO exists precisely to close that gap.
How GEO works
GEO works by influencing the inputs behind AI answers: the sources models ground on, the content that earns citations, and the signals that shape how you are described then measuring the results.
Like SEO, it is a measurement discipline first. You cannot improve what you cannot see, so GEO starts with tracking how models answer in your category today.
How Prominence AI supports GEO
Prominence AI is built for GEO end to end: track prompts in Prompt Explorer, measure Share of Answers and competitive position in Metrics & Benchmarking, and map the sources behind answers with Grounding Source Prominence.
GEO vs SEO
SEO (Search Engine Optimization) and GEO (Generative Engine Optimization) share DNA but optimize for different outputs.
AI Visibility
How present and prominent your brand is across AI assistants and AI search engines.
AI Search
Finding information by asking AI assistants that answer directly, instead of searching a list of links.
Answer Engine
An answer engine is a search system that returns a single synthesized answer to a question, rather than a page of links for you to evaluate yourself.
Content Gap Analysis
Finding the topics where competitors are cited in AI answers and you are not, turning each gap into a content brief.
Citations
The sources an AI model links to or references to support the answer it generates.
Written by
Andreas Niessen
Co-Founder, Prominence AI
Andreas Niessen is Co-Founder of Prominence AI, the brand rank tracker for AI search engines. He works daily with how ChatGPT, Gemini, Perplexity and Copilot describe brands, and writes about Generative Engine Optimization (GEO), AI Search and brand visibility in the AI era.
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