How is Local AEO different from Local SEO?

Local SEO focuses on Google Maps ranking and local pack placement. Local AEO focuses on AI-generated recommendation answers. The signals overlap significantly — reviews, GBP, and citations matter for both — but AEO adds schema markup, content structure for AI parseability, and entity mentions that traditional local SEO doesn't prioritize.

Do I need separate local AEO for each city I serve?

For AI search, location-specific content matters more than for traditional local SEO. A business serving Edmonton, Spruce Grove, and Sherwood Park benefits from separate location pages for each, with local-specific content, local reviews mentioning the city, and local citations. The investment scales with the value of each market.

What if I'm in a new city and have no reviews there?

Build reviews in the new market first, before other AEO investment. AI systems validate location by looking at reviews that mention the location and GBP verification for that address. A business entering a new city needs 20+ reviews from that market before AI citation for that city's queries becomes reliable.

How do I measure local AEO progress?

Manual query testing: run your target local queries in ChatGPT, Perplexity, and Google AI Overviews monthly and track whether your business appears, and where. Also monitor Google Business Profile insights for search appearance data. There is no automated local AEO tracking tool equivalent to Search Console at this stage.

✦ Local AEO

Local AEO: Getting Found in Local AI Search

Local AEO is the practice of optimizing a local business to appear in AI-generated answers for location-specific queries — 'best contractor in Edmonton', 'dentist near me', 'who should I call for HVAC repair in Calgary'. The signal set overlaps with Local SEO but includes elements specific to how AI systems select and validate local businesses.

Local AI search is growing faster than non-local AI search because recommendation queries — 'who should I call', 'what's the best' — are inherently local when they involve services. A homeowner asking ChatGPT for a reliable electrician expects a recommendation in their city, not a national name. This is where local businesses have a structural advantage over national brands if they build the right signals.

The local AEO signal stack: Google Business Profile completeness and review volume, consistent NAP across local directories, location-specific service pages, and LocalBusiness schema. Businesses that complete this foundation are positioned in a category where national brands cannot easily compete — they have the local specificity that AI systems need to make confident local recommendations.

Google Business Profile

Highest

Verified GBP with complete information: hours, services, photos, and Q&A answered. A verified, complete GBP is the most direct signal AI systems have for local business information.

Local review volume

Highest

40+ Google reviews in your specific city or service area. AI systems that recommend a contractor 'in Edmonton' are looking for review data that corroborates the Edmonton location, not just a national review count.

Location-specific service pages

High

Service pages that mention the city and service area in headings, meta, and body content. 'Edmonton plumber' and 'Calgary plumber' need separate pages — a generic services page doesn't provide the location specificity AI needs.

Local citation consistency

High

NAP consistent across local directories: Yellow Pages Canada, Yelp, BBB, local business associations, and city-specific directories. Inconsistency in local citations reduces AI confidence in your location data.

✦ FAQs

Questions about local aeo: getting found in local ai search

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Get found in local AI search

We test your local AI search visibility across ChatGPT, Perplexity, and Google AI Overviews, then build the signals your city-specific queries need.