Local AEO: Winning the AI Maps and Near Me Game

AI answer engines process local queries differently from informational ones. They combine several data sources: Google Maps and Business Profile data, local citation databases (Yelp, TripAdvisor, industry directories), review aggregations, location-specific web content, and real-time data where available. ChatGPT and Perplexity can search the live web, so directory listings, reviews, and your own pages all feed their answers. Google also exposes its place data to Gemini: its Grounding with Google Maps documentation describes connecting Gemini to Google Maps data for local recommendations and "near me" questions. The common thread is that all of these systems prioritize businesses with complete, consistent, and frequently-validated local data. If your business information is fragmented or outdated across these sources, AI models will either recommend a competitor or hedge their response with uncertainty.

Your Google Business Profile (GBP) is the single most important asset for local AEO. Complete every field: business name (consistent with your website), address, phone, hours (including special hours), categories (primary and secondary), attributes, service areas (see Google's guide for service-area businesses if you visit or deliver to customers), and products/services. Add high-quality photos regularly. Respond to every review, positive or negative. Keep your GBP posting schedule active with weekly updates. Beyond GBP, implement comprehensive LocalBusiness schema markup on your website. Google's LocalBusiness structured data documentation recommends geo-coordinates (with at least five decimal places) and openingHoursSpecification for business hours; add schema.org's areaServed property to define the geographic area you cover. Ensure your NAP (name, address, phone) is identical across your website, GBP, and all citation sources.

AI models build local entity authority through cross-source corroboration, just like they do for non-local brands. Maintain listings on all major citation sources for your industry: Yelp, TripAdvisor, industry-specific directories, the Better Business Bureau, and local chamber of commerce directories. Consistency is paramount — every listing should show exactly the same business name, address, and phone number. Reviews are a particularly powerful local signal. Google states in its explanation of how local ranking works that results are based on relevance, distance, and prominence, and that more reviews and positive ratings can help a business's local ranking. AI answers that draw on Google's local data are likely to reflect the same signals, so keep earning recent, genuine reviews rather than relying on an old, static rating. Implement a systematic review generation strategy and respond thoughtfully to all feedback. For a broader understanding of how authority works in AEO, see our AEO ranking factors guide.

Create content that answers the natural language questions local searchers ask. For each location you serve, develop pages that address queries like "What are the best [services] in [city]?", "How much does [service] cost in [area]?", and "Is [your brand] open on [holiday] in [location]?" Use question-based headings and concise answer blocks, following the AEO content strategy framework. If you have multiple locations, each should have its own page with unique content — not just a template with the city name swapped. Include local landmarks, neighborhood references, and community involvement mentions to demonstrate genuine local presence. This location-specific content signals to AI models that your business has deep roots in the area, not just a pin on a map.