Full Answer

The shift is in how questions get asked. Traditional local search worked on keyword fragments — "best pizza downtown" — and returned a ranked list of links. AI search works on conversational intent — "where can I get good deep-dish pizza near me that's open past 10pm" — and returns a synthesised answer, often citing specific businesses by name with reasons drawn from their structured data and reviews.

This changes what determines visibility. In traditional search, ranking factors like backlinks and domain authority decided who appeared first. In AI search, the deciding factors are whether the AI engine can parse your business data — operating hours, service categories, review sentiment, location schema — and assemble a direct answer from it. 58% of consumers now use AI tools for local business research (BrightLocal, 2025), and that number is climbing.

The practical consequence for local businesses is straightforward: if your structured data is incomplete, you don't exist in AI search results. A business with a fully marked-up Google Business Profile, schema-validated service pages, and review markup gets cited. One without those signals gets skipped — even if it ranks well in traditional results. The data on small business AI search readiness shows that 88% of small businesses still have no strategy for this channel, which means the window for early movers is wide open.