How often an AI assistant refreshes what it knows about you depends on which of two paths it is using, and only one of them is on a schedule you can move. The trained model itself — the memory the assistant answers from when it does not browse — changes only when the provider retrains or refreshes it, which happens on the order of months, so a business that exists only in training data waits for the next cycle and cannot hurry it. The live-retrieval path is the opposite: when an assistant fetches current web pages before answering, it reads whatever your site and listings say at that moment, so an accurate, crawlable page can change what it repeats about you within days of a crawl rather than months. The practical takeaway is to stop waiting on the slow clock and feed the fast one: keep your live site factually current, crawlable and clearly structured, because that is the copy the live-retrieval path reads and the source the next training refresh will eventually absorb. You do not control the retrain calendar, but you fully control what the live page says today.
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