How H&M Turned AI Search Into a New Customer Acquisition Channel with Rebbiton

Millions of shoppers now ask ChatGPT, Claude, Gemini, and Perplexity for fashion advice, brand recommendations, and shopping inspiration before visiting a website.

For H&M, this created a new challenge.

The team could measure website traffic, conversions, and ad performance, but they had limited visibility into how AI platforms influenced customer decisions before users reached their site.

The shift was clear: AI was becoming a discovery engine.

The question was how to win inside it.

"We knew shoppers were using AI to discover products and brands. We needed a way to understand how often H&M appeared in those conversations and what influenced those recommendations."

The H&M team lacked answers to critical questions:

• Which AI prompts recommend H&M?
• Which competitors appear more frequently?
• What fashion topics drive AI visibility?
• Which content influences AI citations?
• How does AI visibility impact customer behavior?

Traditional analytics showed the result. They didn't show what happened before the click.

For a global brand competing in a crowded market, that visibility gap represented a major missed opportunity.

After implementing Rebbiton, H&M gained a unified system for monitoring AI visibility and customer engagement.

Monitor: Track AI citations, rankings, prompt visibility, and share of voice across major AI platforms.

Create: Generate AI-optimized fashion content designed to improve discoverability and brand mentions.

Analyze: Monitor live visitors, user behavior, traffic sources, and customer journeys in real time.

Optimize: Identify visibility gaps, content opportunities, and technical improvements to strengthen AI rankings.

By connecting visibility, content creation, analytics, and optimization into a single platform, H&M gained a clearer understanding of how AI influenced customer discovery and engagement.

With Rebbiton, H&M transformed AI visibility from an unknown metric into a measurable marketing channel.

The team could now see:

• Which prompts generated brand mentions
• Which content drove citations
• Which AI platforms influenced traffic
• Which visitors converted into customers
• Which competitors dominated key fashion conversations

The biggest transformation wasn't simply higher visibility.Beyond visibility gains, Rebbiton changed how H&M approached digital growth.

Instead of reacting to search trends, the team could proactively identify emerging fashion conversations, optimize content faster, and measure the direct impact of AI visibility on customer acquisition.