Method in one clause: 2,240 answers from ChatGPT Instant and Meta's Muse Spark with web search on, 14 consumer-electronics shopping prompts, seven synthetic user memory profiles plus one empty control, 10 runs each, collected on 19 October 2026. Repeat answers for the same user overlapped about 42% on named products for ChatGPT and 18% for Muse Spark; between a user with relevant memory and one with none, overlap was roughly half that, for both models. Relevant memory showed up in 19% of ChatGPT's search queries and in 88% of its answers. ChatGPT's number of options and cited domains barely moved (2.5 against 2.7 domains per answer), while Muse Spark narrowed to fewer options and fewer sources.
Profound sells an AI visibility tracker; the users are synthetic, the products are electronics, and it is one collection date. It does not say whether the runs were through the app or the API.