AEO for Local Businesses: How to Get Cited in AI Answers for Local Searches
AI systems are increasingly answering local search queries — recommending plumbers, dentists, and contractors by name. Here are the specific steps local businesses take to get cited in AI answers and the local AEO factors that differ from general AEO strategy.
Ask ChatGPT "who's the best HVAC company in [city]" and it will give you a specific answer. Ask Google "what plumber should I call for an emergency" and an AI Overview may appear recommending how to evaluate plumbers — and sometimes naming specific businesses.
Local businesses appear in these AI answers because of something specific — not because they paid for it, not because they were lucky. They appear because they've built a set of signals that AI systems recognize as authoritative for local queries.
Here are those signals and how to build them.
How AI systems handle local queries
Local queries — searches with geographic intent — are handled differently by different AI systems:
Google AI Overviews: Pull from GBP data, Google Maps reviews, and indexed website content. For queries like "best dentist near me," Google's AI may generate a response that names businesses or recommends evaluation criteria. GBP completeness, review volume, and category accuracy are the primary signals.
ChatGPT with web search: Searches the web in real-time, pulling from business websites, review platforms (Yelp, Google), and local directories. A business with a well-structured website, strong review presence across platforms, and clear content about their services and location is more likely to surface.
Perplexity: Aggregates from multiple sources simultaneously — your website, your GBP (via data partners), Yelp, local directories. It cites sources, so you can see exactly where it's pulling your business information from.
Claude: Relies on training data plus real-time web search (for Claude.ai with search enabled). Citation patterns favor authoritative, clearly structured content from domains with established link profiles.
The local AEO checklist
GBP as AEO signal (highest impact)
For local AI recommendations, your GBP is the primary data source AI systems use to identify and assess local businesses. Every GBP optimization is simultaneously an AEO optimization.
- Review count and velocity: AI systems surface businesses with strong, recent review signals. A business with 100 reviews getting 8 new per month has a fundamentally different AI citation profile than one with 15 reviews getting 1 per month.
- Primary category precision: AI systems use your GBP category to match you to local queries. The more specific your category, the more precisely you match the query's intent.
- Profile completeness: Services list, attributes, description, photos — each field contributes to the completeness of your entity profile that AI systems reason about.
Website structure for AI citation
Your website is the source AI systems pull when they want to say something specific about your business. Structure it to answer questions AI is likely to be asked about businesses like yours.
Service pages as answers: Each service page should open with a direct answer to the most common question about that service. "How long does a roof replacement take?" answered in the first paragraph of your roof replacement page is more citable than a page that buries the answer in paragraph 8.
FAQ sections: Add FAQ sections to your homepage, service pages, and about page. Structure questions as customers would ask them conversationally. This is the single most consistent citation trigger across all AI systems — AI systems are literally designed to find answers to questions, and a well-structured FAQ section is pre-packaged answers.
Provider credentials: AI systems responding to healthcare, legal, and financial queries weight credential information heavily. If your business has licensed providers, board certifications, or specific qualifications, these should appear in your website text — not just buried in a bio page.
Schema markup: the machine-readable layer
Schema markup translates your website content into a format AI systems read directly, without having to interpret unstructured text. For local businesses, the priority schema types:
LocalBusiness (or the specific subtype): Defines your business as an entity — name, address, phone, category, hours, geographic service area.
FAQPage: Marks up your FAQ sections so AI systems can pull your question-answer pairs directly.
Service: Defines each service you offer as a distinct entity with a description, area served, and provider.
Review / AggregateRating: Passes your review data to AI systems in a structured format they can cite.
A local business with complete, accurate schema markup is essentially briefing AI systems on exactly who they are, what they do, and how many customers have vouched for them — before any text analysis happens.
Cross-platform consistency
AI systems that aggregate from multiple sources — Perplexity, ChatGPT — assess consistency across those sources as a trust signal. A business that appears with the same name, address, and description across Google, Yelp, Facebook, and their own website is more confidently cited than one with inconsistent information across platforms.
This is the same NAP consistency principle that drives local SEO ranking — it serves double duty as an AEO trust signal.
What good local AEO looks like in practice
A plumbing company with:
- 95 Google reviews, getting 7 new per month
- Primary category: "Plumber" (not "Home Services")
- Services listed explicitly: water heater repair, drain cleaning, emergency plumbing, pipe repair, sewer line
- A service page for emergency plumbing that opens: "For emergency plumbing in [city], our licensed plumbers respond within [X] hours, 24/7. Here's what to expect when you call."
- LocalBusiness + FAQPage schema on the homepage
- Consistent NAP across 40+ directories
When someone asks ChatGPT "who should I call for an emergency plumber in [city]," this business has every signal AI systems look for to generate a confident recommendation.
Get a free local SEO audit that includes an assessment of your AI citation readiness — where your business currently appears in AI responses and what's holding you back from appearing more.
Related: Answer Engine Optimization | AEO vs SEO | How AI Recommends Businesses | Google Business Profile Optimization
Charles Lau
Founder, Formula Won Labs
Charles Lau is the founder of Formula Won Labs, an AI visibility infrastructure company that helps local businesses rank on Google Maps and get recommended by AI platforms. He works with home service companies, med spas, dental practices, and other local businesses across the US.