Ecommerce AI Visibility

Most ecommerce teams track Google rankings religiously but have zero visibility into whether AI shopping agents can find, parse, and recommend their products. A Digital Applied study analyzing 23,000+ LLM citations found that 92% of brands are invisible in AI search results. The problem is not just optimization. It is measurement. Without a structured scorecard, you cannot fix what you are not tracking. This guide defines 8 specific metrics that determine your store’s AI discoverability health. For each metric, you get a free tool to measure it, a benchmark to aim for, and a fix when you fall short. Run the full scorecard once, then track weekly. The entire audit takes under two hours the first time and under 30 minutes on follow-ups. ...

92% of brands are invisible in AI search results, according to a May 2026 analysis of over 23,000 LLM citations across ChatGPT, Perplexity, Gemini, and Claude. For ecommerce stores, this means products that rank on page one of Google might as well not exist when a shopper asks ChatGPT to recommend them. The gap is not always technical. Many stores have decent schema markup and even a Google Merchant Center feed, but fail at one of the other layers AI agents need: crawl access, structured content, or a clear llms.txt instruction file. The problem is that most store owners have no idea which layer is broken because they never test the full chain end to end. ...