GEO Testing

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. ...

Schema validators confirm your structured data is syntactically correct. They do not tell you whether AI agents will actually cite, recommend, or surface your products. A 92-domain audit published by Digital Applied in April 2026 found that schema-only optimization produced just a 3.1% citation lift, while opinion-rich prose generated a 47% lift. The gap between “valid schema” and “AI-visible store” is enormous, and most ecommerce teams are testing the wrong thing. ...