GEO Score — How AI Understands Your Content

Generative engines do not copy your page. They read it, place it in context, then rewrite what they learned in their own words. Generative Engine Optimization (GEO) asks whether a model will understand your content well enough to reuse it correctly and credit you for it. The NOXEL GEO Score measures exactly that.

AEO answers clearly, GEO is understood correctly

The AEO Score checks whether a passage can be quoted as a direct answer. GEO goes one level deeper: how an AI model understands, contextualizes and reformulates your content. Both matter, and NOXEL keeps them as separate scores so you can see which one is holding a page back.

What the GEO Score analyzes

The score is built from eight categories, each with its own result:

Named Entities: entity schemas and sameAs links that connect your brand, people and products to known identities.
Semantic Context: vocabulary richness and the connectors that make reasoning explicit.
Knowledge Graph: connections to external authorities that a model already trusts.
Topical Authority: signals that the page goes deep on its subject.
Machine-Readable: the quality of JSON-LD, Open Graph and microdata.
Citation Worthiness: original data and quotable statements worth attributing.
Semantic HTML: elements that describe the role of each part of the page.
Topic Depth: content clusters and breadth around the main topic.

Turning the result into changes

A low Named Entities result usually means adding Organization schema with sameAs links to your official profiles. A weak Citation Worthiness result points to the lack of figures, sources or first-hand findings. Because each category is scored on its own, you can fix one area, scan again and see the effect on that category alone.

Learn the concepts

Scan your site with NOXEL → Then open GEO Score to see how AI models read your pages.