Findable glossary
What is GEO?
GEO (generative engine optimization) is the practice of making information easier for generative AI services to find, explain, and cite when answering questions about a brand or topic.
How is it different from SEO?
SEO mainly tracks visibility and clicks in search results. GEO also examines mentions, descriptions, and citations in AI-generated answers. Many users read the answer and never click, so whether you appear inside the answer becomes its own question.
What do you optimize?
Verifiable facts, clear explanations, links to sources, authorship, and freshness. Above all, the same description of what the brand is and who runs it should be confirmed in several places.
Two ways an AI builds an answer
An AI answers from learned knowledge or reads current pages through web search. A new brand is unlikely to be in learned knowledge, so being found in answers that use web search is a realistic first goal. The same question can give different results depending on which way the AI answered.
How do you measure it?
Repeat the same questions and record whether the brand appears, how it is described, which sources are cited, and how answers change over time. Separate questions that include the brand name from questions that only ask about the category.
Order of work
1) Decide one sentence that describes the brand. 2) Use the same sentence and name on the official site and outside profiles. 3) Publish pages that directly answer questions customers ask. 4) Measure repeatedly to see change.
A simple example
Ask several AI services the same brand question, then compare mentions and the pages they cite.
Frequently asked questions
Are GEO and AEO the same?
They overlap but are not identical. AEO covers being chosen as an answer in general; GEO focuses on discovery and citation in generative AI answers. Practitioners often use them interchangeably.
Can GEO results be guaranteed?
No service can guarantee AI answer visibility. Answers vary by question, model, and date, so tracking trends through repeated measurement is the realistic approach.
Where should I start?
Measure how AI describes the brand today. If it gets the name wrong or confuses you with another service, fix information first. If there is no mention at all, build outside sources and answer-style pages.
Related terms
For more measurement methods and case studies, visit Findable insights.