Generative Engine Optimization

Generative Engine Optimization (GEO) is the practice of structuring your content, brand signals, and technical setup so that generative AI engines mention, cite, and recommend you in their answers. It is the AI-era counterpart to SEO, aimed at the generated answer rather than the ranked link. Rankry measures GEO outcomes and guides the work to improve them.

What this page covers

What GEO means
How GEO differs from SEO
How GEO is measured
How Rankry supports GEO

How GEO differs from SEO

SEO optimizes for ranked links on a results page. GEO optimizes for being mentioned and recommended inside a generated answer. Strong SEO helps GEO, especially on Google-grounded engines, but GEO adds concerns that SEO tools do not cover, such as whether AI crawlers can read your pages and whether your claims are corroborated.

How GEO is measured

GEO is measured through AI visibility metrics: recommendation rate, citation share, position, and share of voice, tracked per model and over time. A single snapshot is not enough, because AI answers vary.

How Rankry supports GEO

Rankry tracks every GEO outcome, audits your site for AI readiness, surfaces the prompt and source gaps to close, and drafts content to close them. The work moves from measurement to a prioritized action plan.

Frequently asked questions

Is GEO the same as SEO?

They overlap but differ. SEO targets ranked links; GEO targets mentions and recommendations inside generated answers.

How do I do GEO?

Be crawlable to AI bots, position your brand clearly, publish category and comparison pages, earn third-party corroboration, add structured data, and keep content current. Then measure and close the gaps.

How is GEO measured?

Through recommendation rate, citation share, position, and share of voice, per model and over time.