Local AEO: How to Get Your Local Business Found in AI Search
Local search is the use case where AI engines are replacing traditional search most aggressively. When someone asks ChatGPT or Perplexity for a restaurant, contractor, dentist, or gym near them, that query used to drive a Google Maps search or a Yelp browse. Now it drives an AI answer with two or three specific recommendations. Local businesses that are not AEO-ready are invisible in this new local discovery layer.
Why local businesses are most at risk
Local service queries are perfectly suited to AI answers: the user has a specific need, a specific location, and wants a confident recommendation rather than a list to research. AI engines handle this well. The consequence for local businesses without AEO is severe: a competitor that has implemented LocalBusiness schema, has consistent entity signals across directories, and allows AI crawlers will consistently appear in recommendations while a nearby competitor with an unconfigured site will not. Local AEO creates a winner-take-most dynamic in individual markets that is already playing out.
LocalBusiness schema: the foundation
LocalBusiness JSON-LD schema is the single most impactful AEO addition for any location-based business. Include: name (exactly as it appears everywhere), address in PostalAddress format with streetAddress, addressLocality, addressRegion, postalCode, and addressCountry; geo (latitude and longitude); telephone; openingHoursSpecification for each day of the week; priceRange; and the most specific LocalBusiness subtype that applies. Use schema.org's LocalBusiness hierarchy to find your subtype: Restaurant, Dentist, Plumber, LegalService, HealthClub, RealEstateAgent. The subtype tells AI engines your category precisely.
NAP consistency across the web
NAP stands for Name, Address, Phone: the three pieces of business identity information that must be identical everywhere they appear. AI engines build entity models by aggregating information about your business from dozens of sources. If your business is listed as 'Mike's Plumbing LLC' on your website, 'Mikes Plumbing' on Yelp, and 'Michael's Plumbing Services' on Google, AI engines treat these as potentially different businesses or assign low confidence to the entity. Audit every citation of your business online and standardize the exact name, address format, and phone number. Update every inconsistency before expecting AI engine citation improvement.
Google Business Profile as an AI signal
Google Business Profile is one of the highest-authority sources for local business information used by AI engines. Complete every field: business category, description, service area, hours (including holiday hours), phone number, website, and photos. Add your products and services with descriptions. Enable the Q&A section and pre-populate it with the common questions customers ask, with answers written as if responding to an AI query. Keep your hours updated: outdated hours are one of the most common reasons AI engines give wrong information about a local business, which reduces citation confidence over time.
Location-specific FAQ and service content
Local businesses that are cited most consistently in AI local queries have location-specific content on their websites. A plumber in Phoenix should have pages addressing Phoenix-specific concerns: water hardness effects on pipes, monsoon-season drainage issues, city permit requirements for plumbing work. A restaurant in Nashville should describe its connection to Nashville culture and local sourcing. This hyper-local content is what differentiates you from out-of-market competitors and signals to AI engines that you are the authoritative local resource for your category. Add FAQPage schema to every location-specific page to make the content directly citable.
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