How Revlon Increased AI Brand Mentions by 340% and Captured Beauty Shoppers Before They Reached Google
Learn how Revlon used Rebbiton to monitor AI visibility, uncover emerging beauty trends, generate AI-optimized content, and track how customers discover products through ChatGPT, Gemini, Claude, and other AI platforms.
Use cases
AI Visibility Monitoring, AI Citations, Beauty Trend Analysis, Content Generation, Live Customer Analytics
Beauty discovery is being reshaped by AI
Consumers are increasingly turning to AI assistants before making beauty purchases.
Questions like:
- Best lipstick brands for sensitive skin
- Top makeup products for summer
- Affordable alternatives to luxury cosmetics
- Best beauty brands in 2026
- Recommended skincare and makeup combinations
are now being answered by AI platforms before customers ever visit a search engine.
For Revlon, this represented a major shift in how beauty consumers discover products.
The challenge wasn't brand awareness.
The challenge was understanding how often AI platforms recommended Revlon compared to competing beauty brands.
"We knew AI was becoming part of the beauty buying journey. What we lacked was visibility into how AI platforms were positioning our brand and products."
Traditional marketing data couldn't see AI influence
Revlon's team had access to sophisticated ecommerce and marketing analytics.
However, several critical questions remained unanswered:
- How often does AI recommend Revlon?
- Which beauty prompts generate citations?
- Which competitors dominate AI conversations?
- Which content influences recommendations?
- Which AI platforms drive product discovery?
The team needed visibility into a customer journey that increasingly began inside AI.
Without that insight, a growing source of demand remained invisible.
See how Revlon tracks their AI visibility
Real-time competitive intelligence across ChatGPT, Claude, Perplexity, and Gemini
A unified platform for AI visibility and customer intelligence
After implementing Rebbiton, Revlon gained a centralized view of AI-driven brand discovery.
Monitor: Track brand mentions, citations, rankings, and share of voice across leading AI platforms.
Create: Generate AI-optimized beauty content, product guides, trend articles, and educational resources designed to improve AI visibility.
Analyze: Monitor live visitors, shopping behavior, traffic sources, and engagement in real time.
Optimize: Identify content opportunities, technical improvements, and prompt gaps that influence AI recommendations.
Transforming AI visibility into measurable growth
Rebbiton enabled Revlon to move beyond assumptions and understand exactly how AI platforms influenced consumer discovery.
The team could now see:
- Which beauty prompts generated citations
- Which products appeared most often in AI responses
- Which competitors dominated key beauty conversations
- Which AI platforms influenced traffic
- Which content increased visibility over time
This created a direct connection between AI visibility and marketing performance.
Key results
Increase in AI-generated brand citations
Growth in AI-driven referral traffic
Reduction in content research and planning time
Increase in visibility across beauty and cosmetics-related AI searches
Winning the beauty conversation before competitors
The most valuable outcome wasn't simply increased visibility.
It was understanding consumer intent before customers entered traditional search channels.
Rebbiton helped Revlon identify:
- Emerging beauty trends
- High-intent purchase prompts
- AI-driven shopping behavior
- Competitor visibility gaps
- New content opportunities
The result was a more proactive marketing strategy built around how consumers actually discover products today.
