Is GEO the same as AEO or LLMO?

The terms overlap strongly. GEO is the most common umbrella term. AEO (Answer Engine Optimization) emphasises direct answers, LLMO (Large Language Model Optimization) the technical optimisation for language models. The goal is the same: to be cited in AI answers.

How long does GEO take?

First citations on long-tail questions often after 6-12 weeks, robust visibility on competitive queries after 6-12 months - depending on your starting point, industry and external mentions.

Yes, via citation tracking: you systematically check for which questions and in which AI systems a brand is cited, compared to the starting point and to competitors.

Does GEO replace classic SEO?

No. GEO builds on SEO fundamentals and extends them to generative search. Both share technical foundations but pursue different target metrics - ranking versus citation.

Generative Engine Optimization (GEO): the complete guide

Q: What does GEO mean?

GEO stands for Generative Engine Optimization - preparing content and entities so that generative AI systems like ChatGPT, Perplexity, Gemini and Google AI Overviews cite them as a source.

This guide explains what GEO is, how AI systems decide which sources to cite, how GEO differs from SEO, and which levers make B2B companies visible in AI answers.

What is GEO?

Generative Engine Optimization (GEO) is the discipline of preparing content and entities so that generative AI systems like ChatGPT, Perplexity, Gemini and Google AI Overviews cite them as a source. Unlike classic SEO, GEO does not aim for a click from a list of links but for the mention in the AI answer itself.

Why GEO matters now

B2B buyers increasingly research in AI systems before visiting a website. According to a Gartner survey, 45 percent of B2B buyers already use generative AI specifically to evaluate providers and products. Whoever does not appear in those answers effectively does not exist for those decision-makers. The shortlist is formed in the AI - long before the first contact.

GEO vs. SEO

GEO does not replace SEO, it builds on it. The core difference lies in the target metric:

Aspect	SEO	GEO
Goal	Ranking in the list of links	Citation in the AI answer
Success	Click on the website	Mention as a source
Format	Keyword-optimised	Answer-first, fact-dense
Measurement	Position, clicks	Citations per query

How AI systems choose sources

Generative AI produces answers by retrieving suitable sources at runtime and summarising them - a mechanism known as Retrieval-Augmented Generation. What gets cited is what is technically readable, fact-dense and externally confirmed. These three conditions are the common thread of every GEO measure.

The key GEO levers

In practice GEO pays into seven levers, from the technical base to external confirmation:

Technical foundation: llms.txt, Schema.org, crawler permissions
Clear entity: a canonical entity description and knowledge-graph presence
Answer-first content along a question catalogue
Internal linking into thematic clusters around this pillar page
External citations from trade media and directories
Measurement via continuous citation tracking

How we implement this systematically is shown on our services page.

GEO terms

The language around AI visibility is new. Clear definitions of GEO, AEO, LLMO, llms.txt, citation, entity, knowledge graph and more are in the glossary.

Generative Engine Optimization (GEO): the complete guide.