AIS ARE HIGHLY INCONSISTENT WHEN RECOMMENDING BRANDS OR PRODUCTS

Summary from the TLDR Marketing newsletter

Large-scale testing across ChatGPT, Claude, and Google AI shows brand recommendations change almost every run. Lists, order, and result counts vary widely, which makes ranking positions meaningless. When prompts repeat at scale, certain brands still appear often. That makes visibility percentage across many runs a usable signal. Even with very different human prompts, AIs surface similar core brands. Avoid ranking-based AI tracking and use visibility rates instead. Demand transparent, stats-backed methods before spending on AI measurement.