421% More AI Visibility: Loop Earplugs x AI Monitor

Loop Earplugs is not your average earplug company. Based in Europe and now expanding aggressively into Asia, they’ve built a lifestyle brand around hearing protection. Instead of cheap foam plugs, Loop designs reusable, stylish earplugs that people actually want to be seen wearing, whether that’s at a music festival, on a long-haul flight, or sitting in a noisy open office.

Overview:

• The Client:
  Loop Earplugs, a lifestyle-focused audio accessory brand providing stylish, reusable earplugs for concerts, travel, focus, and wellness.
• The Challenge:
  Despite strong e-commerce traction and a loyal social following, Loop was largely invisible in AI answer engines. High-intent buyers using ChatGPT, Gemini, and other AI tools kept discovering competitors instead. This caused lead growth to stall and customer acquisition costs to rise, definitely not ideal.
• The Solution:
  AI Monitor implemented a comprehensive Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) strategy. The goal? To restructure Loop’s content and product data so it was clear, trustworthy, and easy for Large Language Models (LLMs) to understand and reference. In short, we made sure Loop showed up when consumers asked AI platforms for earplug recommendations.
• The Results:
  • 41% increase in CAC driven by AI-led organic discovery
  • +460% surge in brand mentions across AI-powered answers
  • +71% boost in high-intent leads entering Loop’s funnel
  • Nearly 2.5x growth in revenue from unpaid acquisition channels

The Challenge

By early 2025, Loop was doing well in e-commerce. They had strong traction on Amazon, good SEO rankings, and a loyal Instagram following. But something strange was happening.

When consumers asked ChatGPT or Gemini questions like:

• “What are the best earplugs for concerts in India?”
• “Which earplugs help me focus at work without blocking voices?

…Loop wasn’t showing up. At all.

Instead, competitors like Alpine or even generic foam plug brands were being recommended. Worse, sometimes AI platforms highlighted random Reddit threads instead of Loop’s own product pages.

This created three issues:

• Missed Discovery – High-intent buyers were literally asking for solutions Loop sold, yet AI wasn’t recommending them.
• Rising Costs – Without organic visibility in AI search, Loop relied more heavily on ads and influencer campaigns, which kept driving up customer acquisition costs.
• Authority Gap – Competitors were being positioned by AI as the “go-to” options, giving them instant credibility that Loop lacked.

As one Loop marketer put it: “It felt like we were invisible in the very conversations where we should have been leading.”

The Solution: Generative Engine Optimization with AI Monitor

Loop partnered with AI Monitor to close its AI discovery gap and secure its position as a top-cited consumer brand across AI platforms. Our solution combined data-driven optimization, content restructuring, and continuous AI visibility tracking.

Phase 1: Entity Mapping & Lifestyle Knowledge Graph

• Conducted a comprehensive audit of Loop’s brand identity, product range, and key use cases spanning concerts, travel, focus, and sleep scenarios.
• Developed an interconnected knowledge graph tying Loop’s standout features, such as modern design, user comfort, and reusability, to primary consumer intent categories like wellness, productivity, and hearing health.
• Transformed brand insights into structured, machine-readable formats, enabling language models to accurately interpret and recommend Loop’s offerings to target audiences.

Phase 2: Answer-Centric Content Engineering

• Reviewed a substantial number of consumer queries submitted to ChatGPT, Gemini, and Perplexity.
• Identified multiple opportunities where Loop could have been recommended, yet wasn’t mentioned at all.
• Updated product descriptions, FAQs, and blog content to address real consumer questions more directly, such as:
  • “What earplugs are best for long flights?”
  • “Which earplugs block noise but still allow conversation?”
  • “What’s an effective alternative to noise-canceling headphones for improved focus?”

This approach ensures Loop is properly represented and positioned as a relevant solution for these specific needs.

Phase 3: AI Visibility Monitoring & Optimization

• Monitored Loop’s AI visibility score across platforms using the AI Monitor dashboard to ensure we were capturing attention where it mattered.
• Regularly benchmarked Loop against key competitors by tracking AI-generated answers, staying alert to shifts in market presence.
• Continuously refined prompts based on real consumer queries, updating content each week with new insights, kept optimizing until Loop consistently appeared in AI-driven product shortlists.

Results: Loop Moves from Invisible to Indispensable

Within 120 days, Loop’s AI visibility dramatically improved across multiple consumer discovery touchpoints.

"AI Monitor helped us understand that discovery isn’t just happening on Google or Instagram anymore. Today, when customers ask ChatGPT or Gemini about the best earplugs, Loop is part of the answer. That credibility has transformed not just our visibility, but how consumers perceive us as a lifestyle brand. It’s like having AI work as our best brand ambassador.”

— Dimitri O, Co-Founder

Why This Worked: Shaping Consumer Authority in the AI Era

Loop’s transformation highlights key strategic lessons for consumer brands:

1. Consumers Now Discover Through AI Conversations
   Purchase journeys start with natural queries like “What’s the best product for X?” If your brand isn’t recommended, you’re not even in consideration.
2. Authority is Algorithmic
   In 2025, authority isn’t only built via influencers or reviews. It’s built when AI platforms cite your brand as the answer.
3. Lifestyle Context Drives Recommendations
   Loop succeeded because its positioning wasn’t just “earplugs”, it became contextualized in lifestyle use cases (focus, travel, concerts, wellness) that AI could map to consumer intent.

The Broader Implications for Consumer Brands

Conclusion: The New Frontier of Consumer Discovery

Loop’s story is a pretty sharp case study in how consumer discovery is shifting with AI at the wheel. Instead of dumping money into endless ads, they focused on making sure their brand shows up where it matters right in those generative engine results. Not only did that cut down their reliance on paid channels, but it also gave organic discovery a serious boost.

The results? Loop’s now the first name that comes up in its category. By leaning into this AI-first strategy, they’ve carved out a spot as the top lifestyle brand for AI-savvy shoppers. Honestly, they didn’t just adapt; they set the standard for how brands can own their niche in the age of AI-driven discovery.