Generative engine optimization (GEO)
Generative engine optimization (GEO) is the practice of improving how often and how prominently content appears in answers written by generative AI search engines. The term was introduced in a 2023 research paper by Aggarwal and colleagues, which defined GEO as a framework to help content creators improve their visibility in generative engine responses.
Why it matters for CPG brands
GEO and AEO describe the same goal from slightly different angles: GEO is the term more common in research, AEO in marketing. For a CPG brand both come down to the same work: product facts that are clear, consistent and easy to quote, available on pages AI engines can read and cite.
Example
The GEO paper built a benchmark of real queries (GEO-bench) and tested content changes against it. It reported that GEO methods can boost visibility by up to 40% in generative engine responses. A brand applying the idea would test whether adding specific facts, figures and cited sources to a product guide changes how often the guide is quoted.
Read more
- SEO vs AEO vs GEO: What's the Difference, and Which Should Your Brand Prioritize?
- What Is Answer Engine Optimization (AEO)? A Plain-English Guide for CPG Brands
Related XENA products
- SearchPanel: SKU-level AI visibility tracking and fixes
Frequently asked questions
Is GEO different from AEO?
In practice, not much. Both aim to get content named in AI-generated answers; GEO is the research term and AEO the more common industry term.
Related terms
Sources
Third-party facts are from the linked pages, checked Oct 27, 2026. Examples are illustrative unless they link to a published XENA case study.