VMware needed to adapt to the shift from traditional search towards AI answer engines and establish consistent visibility across multiple AI-powered platforms.
We developed a structured GEO framework connecting product clusters, keywords, prompts and content to measure and improve VMware’s presence across AI search environments.
Built a structured system connecting product clusters with keywords, prompts and relevant URL architecture.
Tracked visibility score, share of voice, average position, cluster rankings and citation share across AI platforms.
Scaled a content-seeding pipeline to support ongoing visibility across targeted AI prompts and product clusters.
Implemented monthly brand audits to identify changes in AI visibility, citations and representation across the monitored search environments.
Whitevox created a structured framework connecting product clusters, keywords, prompts and URL architecture to improve the consistency of VMware’s presence across AI answer engines.
The framework tracked visibility across ChatGPT, Perplexity, Gemini, Google AI Overviews and Claude.
The framework tracked visibility score, share of voice, average position, cluster rankings and citation share.
Product clusters provided a structured way to connect specific products with relevant keywords, prompts, URLs and content assets.
Content seeding created a scalable pipeline for developing and distributing relevant content mapped to the prompts and product clusters being monitored.
Regular prompt tracking, citation monitoring, cluster-level analysis and monthly brand audits provide a structured way to identify changes in AI visibility and continuously optimize the content ecosystem.
Let’s build a GEO framework that connects your keywords, prompts, content and digital authority to how your brand appears across AI-powered search.