Generative Engine Optimization (GEO) is the practice of improving how clearly and credibly a brand, website, product or idea can be discovered, understood, cited and represented inside AI-generated answers.
That definition matters because GEO is often described too narrowly as "ranking in ChatGPT." AI visibility is not one ranking. It is a chain of events: a page has to be crawlable or otherwise available to a retrieval system, relevant material has to be retrieved, the source may or may not be cited, and the generated answer may or may not mention or recommend the brand.
The useful question is therefore not "How do I hack an LLM?" It is: How do I make my information easy to discover, verify, retrieve and use when an AI system needs to answer a relevant question?
Where the term GEO came from
The term Generative Engine Optimization was formalized in the research paper GEO: Generative Engine Optimization. The authors studied ways of changing source content to improve visibility inside generated answers and reported meaningful gains in their experimental setting.
That result is important, but it should not be turned into a universal promise. A 2026 critical survey of GEO research points out that many experiments study what happens after a source is already available to the generative system. They do not prove that a rewrite will cause a page to be organically discovered, retrieved and cited across every AI product.
For practitioners, that is actually useful. It suggests that GEO should be treated as a measurable system rather than a bag of formatting tricks.
GEO is a pipeline, not a magic ranking
A practical model looks like this:
Crawl / access
↓
Index / discover
↓
Retrieve for a relevant question
↓
Use as evidence
↓
Cite or attribute
↓
Mention / compare / recommend
↓
User actionA weakness at any stage can reduce visibility.
A brilliant article that cannot be crawled may never enter the retrieval set. A crawlable page with generic information may be ignored for a more specific source. A cited source may support an answer without causing the brand itself to be recommended. A brand may be mentioned without receiving a citation to its own website.
This is why a useful GEO program measures more than one number.
Does traditional SEO still matter for GEO?
Yes. In fact, the major search platforms are increasingly explicit about this.
Google's guidance for AI features says the same foundational SEO practices remain relevant to AI Overviews and AI Mode. A page must be indexed and eligible to appear in Google Search with a snippet before it can be eligible as a supporting link in those AI experiences.