Generative Engine Optimization
Build a Measurable GEO Workflow
Generative Engine Optimization improves the clarity, credibility, and availability of information AI assistants use when forming answers.
GEO does not guarantee a recommendation. It combines technical access, clear content, consistent brand facts, and credible third-party signals with ongoing measurement.
GEO starts with an answer gap
Define the prompts that matter, record which brands appear, and identify whether the problem is absence, weak position, unfavorable framing, or missing source coverage.
SEO remains part of the work
Crawlable pages, clear information architecture, useful content, and genuine authority still matter. GEO adds measurement of the generated answer and the external sources shaping it.
Optimize facts, not keyword density
Make product category, audience, capabilities, comparisons, and evidence easy to find and consistent across first-party and credible third-party pages.
Measure after implementation
A GEO workflow needs a baseline and repeat runs. GeoSurfaced links recommendations to relevant prompts and checks whether later visibility moves.
Questions agencies ask
What is Generative Engine Optimization?
GEO is the practice of improving the information and authority signals that help generative AI systems understand, cite, and accurately discuss an entity.
Does GEO replace SEO?
No. The disciplines overlap. Technical accessibility, useful content, and authority support both, while GEO also evaluates generated answers and their sources.