Overview
We are working with a well-know fitness brand who was facing a challenge that felt urgent. The product was strong, their presence on Amazon was well-established, yet they were nearly invisible in the AI search answers. When consumers turned to AI platforms to ask about fitness equipment, their name was absent in the top list. We worked with them to rebuild their foundation for AI visibility: creating a well-formatted and citation-friendly landing page, optimizing their domain, and adding a simple FAQ section that aligned with the way AI obtain information. Within a week, their visibility score had jumped to 46%, which is a 54% increase growth.
The story
When we first met this fitness equipment brand, they were eager to grow their market reach. They have tried exhaustedly on marketing: marketplace dominance and traditional SEO to bring in customers. In fact, their Amazon product pages ranked well in product search on Google, whereas in the new era of AI answer engine answers, they were barely visible.
Marketing nowadays isn’t about traffic; it was about trust: from both AI and consumers. Consumers were asking ChatGPT, Gemini, or Perplexity for recommendations all the time. However, the brand name didn’t show up in the top A list; their AI visibility score was stuck at 30%. Their product detailed pages that contain all the important product information weren’t even citable.
Even worse, their citation domain didn’t even have an LLMs.txt file, meaning the website kept the door shut for the AI that large language models had no clear route on how to treat their content. Meanwhile, competitors were rapidly making their visibility into the generative answers, whereas they had no way to measure their position against competitors, which felt like they were competing blind. Watching competitors appear in the AI answers while they were shout out was agitated, despite having well-reviewed products.
At the beginning, the team wasn’t sure whether this Answer Engine Optimization (AEO) process would even work. They had heard the term, but it still felt new and unproven. They didn’t know how to get started, and they weren’t convinced it could deliver real business growth. Moreover, the question kept coming up internally:
“Why are we investing so much in SEO but not performing well in AEO?”” — Fitness Brand Marketing Lead
That is when Frevana stepped in.
The turning point
The team’s concern narrowed down to one simple question: what is the major operational difference between SEO and AEO? They had spent years optimizing for traditional search, but the rules of visibility had changed. Even though they were doing everything “right” for SEO, they weren’t showing up where customers now look first.
First, Frevana showed them how the industry operated to make themselves visible. We provided an in-depth AEO insights report that laid out why the top brands rank in AI answers, their advantages and drawbacks, and their visibility. We also included the queries consumers often ask when making buying decisions. The visibility score is calculated by how frequently a brand appears in the top-A list of AI answers across a series of relevant queries. From there, we ran a workflow to collect their Amazon product page information and created a landing page outside Amazon that is citable by AI engines—a purposeful “middle layer” connecting the AI answer and the product—with rich product details and customer reviews formatted for AI consumption.
We then helped them configure and optimize their domain by diagnosing the problem (missing LLMs.txt file) and providing practical fixes (optimized error data structure); as a result, their domain finally sent the right signals to AI systems. To make the content even more useful and straightforward for AI, we added an FAQ section that answers the kinds of questions customers are likely to ask. Finally, we set them up with an AEO visibility dashboard so they can track progress and benchmark against competitors on demand.
The outcome
The result was surprisingly outstanding. Within just a week, their visibility score rose from 30% to 46%, and the new landing page we built for them has gradually appeared in the AI search results. For the first time, the brand could see evidence that their products were not only well-ranked in Amazon, but actually recommended in AI, where their customers were searching. Moreover, the dashboard we built also help them projecting what future outcomes would look like, which we both are looking forward to a 70% visibility score in less than a Quarter season. By tracking frequency over time, they could see opportunities to boost their visibility score even higher, be seen in more queries, and eventually dominate the AI visibility in their product category.
The future look
This case study is just the beginning. The brand has committed to continue investing in building its AI visibility, by recognizing that AEO is not a one-time project but a continuously ongoing discipline. Every edition they make based on our AI team audit will lay the groundwork for stronger long-term performance in AI search.
At Frevana, we believe this future is inevitable. Just as a few years ago the rise of SEO, which became a benchmark for webpage visibility, AEO will, in the future, redefine how brands are discovered and trusted in AI era. Helping this fitness brand make the leap in their AI visibility score reinforces our faith in the AEO future, where brands that adapt this evolution early will lead the way in visibility, trust, and growth.