Older material, never carried here, and it is the parent of the 3 August study already on this desk (the 74% cited versus 44% named finding). Same tracking, different question. Method stated on the page: 1,094 US categories tracked monthly in ChatGPT from January through June 2026, five representative buyer prompts per category, over 50,000 brands, over 220,000 domains, over 220,000 URLs and over 600,000 citations. An owner is defined verbatim as "the brand with the highest share of mentions, named in at least four of five prompts, with at least a five-percentage-point lead over the runner-up."
The figures, verbatim: "Only 15.2% of the 1,094 categories we analyzed had a clear owner", and "85% remain open to competitors that can build consistent visibility". Split by category size: "Only 11.3% of the top-half topics had a clear brand owner", against 19% in the bottom half. On stability: "Owners with a 5-percentage-point lead retained first place in 90% of month-over-month comparisons", with leadership changing hands regularly in categories where the lead was small. And on the link to conventional metrics: "Owners had higher branded search volume in 55.7% of pairs", which is barely better than a coin toss. Indig's own caution, verbatim: "Treat that as a hypothesis, not a finding. What the data actually shows is: traditional SEO metrics aren't enough to explain who owns a topic."
Limits that must travel with it. It is one engine, ChatGPT, of the five we run. The page does not state runs per prompt or whether capture was through the API or the consumer interface, which are the two facts that decide reproducibility. The categories are commercial product and service categories, not coaching. Semrush sells an AI visibility product. And the authors say plainly that the data cannot explain why leadership switches: "Why the switches happen isn't something this data can answer."