GEO for local business

Local intent - find me someone nearby who does X - is one of the most common and highest-converting search types, and it's moving into AI answers. When someone asks an engine for a recommendation in their area, the engine synthesizes one from the local information it trusts. For a local business, being part of that answer is the new version of showing up in the local pack.

Local recommendations rest on the engine being confident about who and where you are. The single most important thing is consistent, accurate business information - name, address, phone, hours, services - everywhere it appears online. Conflicting details across listings make an engine unsure, and uncertainty means it's less likely to recommend you with confidence.

For local services, social proof carries enormous weight - both with customers and with engines synthesizing a recommendation. A steady stream of genuine reviews signals an active, trustworthy business. The point isn't to manufacture ratings (which backfires) but to earn real ones consistently and respond to them, building the reputation an engine can lean on when it decides who to suggest.

Generic service pages don't answer the specific local questions people ask. 'Do you offer emergency service in [area]', 'how much does [service] cost in [city]', 'are you open on Sundays' - real, location-specific questions deserve real, location-specific answers. Content that addresses them, grounded in your actual service area and offerings, gives an engine genuine local substance to cite rather than boilerplate.