What is GEO (Generative Engine Optimization)?

Definition

GEO refers to all practices aimed at optimizing a brand's visibility in responses generated by LLMs such as ChatGPT, Claude, or Perplexity. The goal is not only to drive direct traffic, but to be cited as a reliable reference in AI-generated answers.

GEO (Generative Engine Optimization) is an emerging search discipline that extends SEO logic to AI-powered answer engines. Where SEO aims to rank pages in Google's SERPs, GEO seeks to influence the responses generated by LLMs.

Why GEO changes the rules

AI search engines don't return a list of links: they synthesize a response. Being cited in that response shapes brand perception before any click occurs. It's a presence in the messy middle of the buying journey.

The levers of GEO

GEO relies on the credibility of sources mentioning the brand, the consistency and frequency of web mentions, the quality of owned content (structure, data, factual accuracy), and presence in the publications and databases LLMs draw from.

GEO and SEO share fundamentals (content quality, authority, structure) but have different goals. SEO targets measurable organic traffic. GEO targets citation and mental presence in AI responses, influencing decision-making without necessarily generating a direct click.

You need to systematically test LLMs (ChatGPT, Claude, Perplexity, Gemini) with queries representative of your sector and measure the frequency and sentiment of citations. This is what's called an AI visibility audit.