GEO optimisation: content that AI systems cite.
AI systems break questions down into sub-questions, read pages without JavaScript, look for unambiguous answers and cite sources whose statements can be clearly attributed. Generative Engine Optimization therefore takes more than an after-the-fact check.
From measurement to structured content.
Measure where the brand stands in AI answers
Prompt tracking queries ten AI platforms weekly and on demand. The answers are analysed for who is mentioned and who is cited – including in relation to the confirmed competitors.
Check whether the website is citable
Citability checks whether AI systems can read and understand the pages, attribute them to the brand and use them as a source. A visibility measurement becomes a concrete work list.
Understand what AIs ask in the background
Query fan-out analysis reveals the sub-questions AI systems ask for a prompt – and shows whether one of your pages answers them and which page is responsible.
For every page a GEO profile.
Each confirmed row of the target sitemap produces a GEO profile and a brief in one step. The two are stored separately by subject – so no generic GEO pattern is applied to every URL.
Implement GEO directly in the content.
AI content creation writes to the GEO profile. On completion, BrandZaps calculates the structured data from the finished content – the JSON-LD is not written freely.
This keeps the structure tied to the content that was actually written.
After publication, AI visibility shows whether the brand is mentioned and cited more often. So GEO does not end with creating a single text.
BrandZaps knows the confirmed company profile, the approved claims, the competitors and the actual pages. That is why you get no generic GEO tips.
View brand profile →Measure. Understand. Implement. Measure again.
The end-to-end path from AI visibility to finished content with structured markup – and back to measurement.




