GEO playbook

GEO for local businesses: how to get cited by AI

Local search is moving into AI: 'best coffee near me', 'where to fix a phone in <city>'. To get named, you need accurate business data (NAP), local schema and reviews — what the engine uses to pick local results.

GEO for local businesses: how to get cited by AI

Where you lose AI answers

  • AI recommends competitors for 'near me' and 'in town', not you.
  • Inconsistent address/phone across the site, maps and directories — the engine gets confused about the entity.
  • No reviews or opening hours in the data — nothing to show in the answer.

How people ask AI

«best … near me»«where to … in city»«… with good reviews nearby»«… near me open now»

GEO checklist for this niche

Consistent NAP

Same name, address, phone across the site, maps and directories — the key local-entity signal.

LocalBusiness schema

Schema with address, geo-coordinates, opening hours and business type.

Reviews and rating

AggregateRating + real reviews; local choice leans heavily on social proof.

Geo-topicality

Mention the area/city in the body, not just the footer — the page should be 'about this place'.

Location pages

Multiple branches → a page per address + a hub.

Want this done for your site — end to end?

FAQ

What matters most for local GEO?

A consistent, accurate NAP (name/address/phone) everywhere + LocalBusiness schema and reviews. Data mismatches are the top reason AI isn't sure about your entity.

Where do I start?

Reconcile NAP across the site and maps, add LocalBusiness schema with hours and geo, gather reviews — and run the page through the GEO checker.