How brands across every industry improved their AI visibility — and what they did to get there.
8
Published case studies
+52
Avg score improvement
7
AI platforms tracked
Before
After
340% increase in AI citations
CloudMetrics implemented structured data and schema markup across their documentation. Within 3 months, ChatGPT and Perplexity cited them 340% more often in SaaS analytics queries.
Before
After
$180K monthly AI-attributed revenue
StyleHub Fashion optimized their product pages for AI search engines. Perplexity and Gemini now recommend their products in fashion queries, driving $180K in monthly attributed revenue.
Before
After
2x MQL volume from AI channels
DataVault Solutions restructured their content strategy around AI visibility. Their MQL volume doubled as ChatGPT began recommending them in B2B data management queries.
Before
After
200% citation increase, no new content
Meridian Capital Group's AI visibility score jumped from 31 to 78 after a focused schema markup overhaul — no new content, no link building, just structural fixes.
Before
After
12 brands tracked, 34% retainer increase
Visible Growth went from manually screenshot-checking AI responses for clients to running a full GEO program for 12 brands — with monthly reports that justify retainer fees in one slide.
Before
After
Most-cited telehealth platform on Perplexity
ClearPath Health turned a 22/100 AI visibility score into 81/100 in four months — becoming the most-cited telehealth platform on Perplexity for their target conditions.
Before
After
#1 recommended on ChatGPT in category
Lumara Skincare was spending $40K/month on Meta ads while AI engines recommended their competitors for free. A 90-day GEO program changed that.
Before
After
3x citation rate in 60 days
A project management SaaS went from being ignored by AI engines to cited in 72% of relevant queries in just 60 days — without changing a single line of product code.
