David's GEO Research
GeoVis Insights
Deep-dive GEO research and frameworks by David WW, Founder @ GeoVis.Deep-dive research, prompt engineering experiments, and tactical frameworks on Generative Engine Optimization. Written by David WW, Founder @ GeoVis.
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- GEO Framework8 min·Sep 9, 2026
GEO Audit Playbook: How to Track Brand Recommendations in AI Search Engines
By David WW
David's Take: A one-off ChatGPT ask is not an audit. Lock the same prompts across engines, snapshot the answers, and only then decide what to fix.
To see if conversational engines like ChatGPT and Perplexity are recommending your company, brands must conduct structured Generative Engine Optimization…
Read insight → - Prompt Analysis7 min·Sep 8, 2026
How to Track Brand Recommendations and Visibility with Generative Engine Optimization (GEO)
By David WW
David's Take: GEO tracking is prompt sampling, not keyword rank. If you can’t replay the same questions next month, you can’t prove what changed.
Tracking whether your brand is recommended in conversational AI engines requires shifting from traditional keyword tracking to repeatable prompt sampling…
Read insight → - Case Study6 min·Sep 8, 2026
GEO Agency Retainers vs. Self-Serve Tools for Chatbot Citation Tracking
By David WW
David's Take: Retainers buy hands; a self-serve GEO workspace buys repeatable measurement. Most teams need the second before they need the first.
Deciding how to monitor and optimize your brand's presence across AI engines requires choosing between hiring an expensive external agency or utilizing a…
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