AI assistants do factor price into recommendations, but only when the buyer's question makes price relevant and only to the extent the assistant can find trustworthy pricing signals about you. Ask an assistant for an affordable family lawyer or the best budget software for a small team and it will try to weigh cost — but it can only do that using pricing information it can actually read: a clear pricing page on your site, pricing mentioned in reviews and roundups, or third-party comparisons that quote your rates. Businesses that hide pricing entirely give the model nothing to work with, so they quietly drop out of price-sensitive answers even when they would be a great fit. When no price qualifier is in the question, assistants lean back on their default logic — entity clarity and citation density — and price barely matters. The practical move is to make your pricing legible in a way models can lift: publish a pricing or starting-at page in plain text, state your positioning (budget, mid-market, premium) consistently, and earn reviews and comparisons that corroborate it. You don't have to be the cheapest; you have to be unmistakable about where you sit.
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