Generative engine optimization is the practice of improving how public content and entity signals can be found, understood, and represented by generative systems. It is an optimization discipline, not a promise that a model will mention or recommend a business.
Generative Engine Optimization (GEO)
The operational definition, the public evidence boundary, and the nearby concepts an operator needs before using the term in a diagnosis.
Definition before diagnosis.
What the term can—and cannot—support.
Read the definition as a contract. It keeps a useful public observation from expanding into an outcome the scan cannot see.
- 01
GEO overlaps with AEO through crawl access, clear source language, structured data, corroboration, and attributable claims. The work focuses on controllable public inputs while recognizing that generative systems assemble answers from sources and rules the website owner does not control.
- 02
Evidence of change requires repeatable prompt sets, dated runs, captured answers, and explicit citation checks. Revvye separates those observations from forecasts and does not convert a sampled result into a universal ranking claim.
The term travels with its limit.
- 01Observe
Inspect the submitted public surface and the declarations it returns.
- 02Preserve
Keep the rule, page signal, severity, and stated limitation together.
- 03Exclude
Do not infer private revenue, conversion, delivery, or customer behavior.
Inspect the public path. Keep the private result private.
The free scan begins with the page you submit and routes its result through a private email-linked intake. It does not access private analytics or CRM data.
Public pages only. The $97 report comes after the result.