CASE STUDY
Building Visibility Beyond Traditional Search
Traditional SEO reporting doesn't show whether a brand is visible when customers ask AI assistants for answers or recommendations. This framework does.
OUTCOMES
The results
Direct commercial and organic search impact delivered during the engagement.
A repeatable framework for understanding where brands appear in AI answers — and where competitors are recommended instead.
A baseline and tracking method that makes GEO work measurable over time.
BACKGROUND
The context
Brands with healthy Google rankings were discovering that AI assistants recommended competitors for the questions their buyers asked. SEO dashboards had no way to show this.
EXECUTION
What we changed
Prompt research
Built prompt sets around commercial, comparison and brand questions buyers actually ask.
Entity visibility
Checked how consistently AI systems identify the brand, its category and its offering.
Competitor analysis
Measured which competitors are mentioned and recommended instead, and for which prompts.
AI citation monitoring
Tracked which sources AI systems cite, to find where the brand needs presence.
STRATEGIC LESSON
The takeaway
You can't improve AI visibility you don't measure — and a single ChatGPT screenshot isn't a measurement.
RELATED READING
Related guides
More case studies
1,400+ hours
Of manual reporting effort saved in one reporting-automation programme within an international operation I led.
From Manual Marketing Workflows to Intelligent Systems
Digital Growth Across SEO, Paid Media & Web
~70% → 98%
Execution quality across international campaigns.
Scaling SEO Operations Across International Markets
Facing a similar problem?
Tell me where you're stuck. On a 30-minute intro call I'll tell you where I think the constraint is and what I'd look at first — whether or not we end up working together.