February 18, 2026

How We Are Improving Our AI Visibility as a Small Brand

Last fall, one of our team members asked ChatGPT to recommend climbing harnesses for trad climbing. The response listed four brands. Ridgeline was not one of them. That was a wake-up call for us, because we know our harnesses compete well on quality and value, but if AI assistants do not know we exist, a growing number of potential customers will never find us.

Understanding the Problem

Traditional search engine optimization focuses on keywords, backlinks, and page speed. AI search works differently. When someone asks an AI assistant for a recommendation, the model draws on its training data and any real-time search results to construct an answer. If your website content is not structured in a way that AI models can easily parse and cite, you are essentially invisible to that channel.

We started by trying to understand what factors influence whether an AI model includes a brand in its responses. The research pointed to a few key areas: content structure, fact density, brand mentions across the web, and whether the website provides clear, extractable passages that an AI model can use when constructing an answer.

What We Tried

Our first step was running an audit of our website using GeoScored, an AI visibility auditing tool that scores websites on the factors that matter for AI search. The report gave us a baseline score and pointed to specific areas where our site was falling short. Some of the issues were straightforward, like missing structured data. Others were more nuanced, like the fact that our product descriptions were written in a style that works for human shoppers but does not give AI models the factual density they need to construct a recommendation.

Based on the audit results, we made a few changes over the following weeks. We rewrote our product descriptions to include more specific facts: materials, measurements, certifications, and performance characteristics. We added more detailed content to our About page so that AI models have a clear picture of who we are and what makes us different. And we started writing blog posts like this one that address questions climbers actually ask AI assistants.

Results So Far

It has been about three months since we started making these changes. The results are mixed but encouraging. We have seen an improvement in how consistently AI assistants mention Ridgeline when asked about climbing gear in our category. It is not universal yet, and the responses vary depending on the model and how the question is phrased, but we are showing up in conversations where we were completely absent before.

The biggest lesson for us has been that AI visibility is not a one-time fix. It is an ongoing process of making sure your website communicates clearly about what you do, who you are, and why you are worth recommending. For a small brand like ours, that means being deliberate about the content we create and making sure it serves both human readers and the AI models that are increasingly guiding people toward their purchasing decisions.

What We Would Tell Other Small Brands

If you are running a small or mid-sized brand and you have not thought about AI search visibility, it is worth looking into. The landscape is changing quickly, and the brands that figure this out early will have an advantage. Start by understanding where you currently stand. Run an audit, look at what AI assistants say about your brand, and identify the gaps between what you offer and what these models know about you.

We are still early in this process ourselves, and we do not have all the answers. But we are seeing enough improvement to know that the effort is worth it, especially as more consumers start using AI assistants as their first stop when researching purchases.