AI assistants are becoming the front door to local service search. What placement looks like today, and how to be the recommended answer.
A growing share of buying research never touches a search results page. People ask an assistant, get one synthesized answer, and act on it. For local services that means the recommendation itself is the funnel.
Being recommended is partly earned and partly structured. Assistants pull from structured service data, coverage areas, pricing bands, review signals and consistent business information across the web. Businesses that publish that data cleanly get surfaced. Businesses whose details live only inside a PDF brochure do not.
Sponsored conversational placements sit on top of that foundation. The unit is not a banner — it is an inline, contextual recommendation attached to a specific question with real purchase intent behind it.
The window matters. Costs in a new placement are always lowest before the category floods in, and the accounts that build history early keep an advantage on relevance long after prices normalize.