AEO for local businesses: local search meets AI

Local search queries are shifting to AI

Imagine this: someone in Amsterdam asks ChatGPT "where can I eat the best Italian pizza in De Pijp?" or a business owner in Rotterdam asks Perplexity "which accountant in Rotterdam-South has experience with e-commerce?". This type of local search query is shifting faster and faster from Google Maps and traditional search results to AI answer engines.

For local businesses this shift brings both risks and opportunities. The risk is becoming invisible if you take no action. The opportunity is that with relatively simple optimizations you can build an advantage over local competitors who are not yet working on AI visibility. The basic principles of Answer Engine Optimization also apply to local businesses, but specific techniques come into play that we cover in this article.

The good news: local AEO is achievable for most businesses without enormous investment. The techniques we discuss are immediately implementable, even if you do not have a large marketing department.

LocalBusiness schema: your digital business card for AI

The foundation of local AEO is comprehensive LocalBusiness schema markup. This Schema.org type tells AI models everything they need to know to recommend your business for local queries: what you do, where you are located, when you are open and how customers rate you.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Restaurant",
  "name": "Pizzeria Bella Napoli",
  "description": "Authentic Neapolitan pizzas baked in a wood-fired oven. A local landmark in Amsterdam-South for over 15 years.",
  "image": "https://bellanapoli.example.com/images/restaurant-exterior.jpg",
  "url": "https://bellanapoli.example.com",
  "telephone": "+31-20-555-0123",
  "email": "info@bellanapoli.example.com",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "Ferdinand Bolstraat 42",
    "addressLocality": "Amsterdam",
    "addressRegion": "North Holland",
    "postalCode": "1072 LR",
    "addressCountry": "NL"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 52.3547,
    "longitude": 4.8936
  },
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Tuesday", "Wednesday", "Thursday"],
      "opens": "12:00",
      "closes": "22:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": ["Friday", "Saturday"],
      "opens": "12:00",
      "closes": "23:00"
    },
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": "Sunday",
      "opens": "13:00",
      "closes": "22:00"
    }
  ],
  "priceRange": "$$",
  "servesCuisine": "Italian",
  "menu": "https://bellanapoli.example.com/menu",
  "acceptsReservations": "True",
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.7",
    "bestRating": "5",
    "ratingCount": "486"
  },
  "sameAs": [
    "https://www.google.com/maps/place/...",
    "https://www.instagram.com/bellanapoli_ams",
    "https://www.facebook.com/bellanapoliamsterdam"
  ]
}
</script>

GeoCoordinates: the exact location for AI

The geo field with GeoCoordinates is at least as important for local AEO as the address field. While an address is sufficient for humans, AI models need coordinates to calculate proximity. When a user asks for a recommendation "nearby", the model uses coordinates to weigh which businesses are relevant. Without GeoCoordinates this information is missing and your business may be skipped. This aligns with the broader principle of Schema.org markup: the more precise and complete your data, the better AI understands you.

Make sure your coordinates are accurate. Use Google Maps to look up the exact latitude and longitude of your business premises and copy these values into your schema. A difference of a few decimal places can mean being placed in the wrong street or even neighborhood.

Businesses with multiple locations

Do you have multiple locations? Create a separate page per location with its own LocalBusiness schema. Each location gets its own GeoCoordinates, opening hours and preferably its own reviews. Use a shared Organization schema on your main page that references all locations via the "department" property.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Bella Napoli Group",
  "url": "https://bellanapoli.example.com",
  "department": [
    {
      "@type": "Restaurant",
      "name": "Pizzeria Bella Napoli - De Pijp",
      "address": {
        "@type": "PostalAddress",
        "streetAddress": "Ferdinand Bolstraat 42",
        "addressLocality": "Amsterdam"
      },
      "geo": {
        "@type": "GeoCoordinates",
        "latitude": 52.3547,
        "longitude": 4.8936
      }
    },
    {
      "@type": "Restaurant",
      "name": "Pizzeria Bella Napoli - Jordaan",
      "address": {
        "@type": "PostalAddress",
        "streetAddress": "Westerstraat 98",
        "addressLocality": "Amsterdam"
      },
      "geo": {
        "@type": "GeoCoordinates",
        "latitude": 52.3795,
        "longitude": 4.8810
      }
    }
  ]
}
</script>

Google Business Profile as an AI source

Your Google Business Profile (formerly Google My Business) is one of the most important sources AI models consult for local business information. Google Gemini uses this data directly, but other AI models also index information available through Google's infrastructure.

• Ensure your Google Business Profile is 100% complete: all categories, attributes, services and products.
• Regularly upload new photos of your business, products and team.
• Actively and professionally respond to all Google Reviews, both positive and negative.
• Use Google Posts to share news, offers and events.
• Always keep opening hours current, including holidays and exceptions.
• Add a comprehensive business description that names your specializations and unique characteristics.

The consistency between your Google Business Profile and your website schema is crucial. If your address, phone number or opening hours on your website differ from your Google profile, you create conflicting signals that confuse AI models. Use the sameAs property in your schema to explicitly link your Google Business Profile to your website entity.

Local FAQ patterns that AI answers

Local queries to AI models follow recognizable patterns. By understanding these patterns and proactively creating content for them, you increase the chance that your business is cited in the answer.

The five most common local AI questions

1. Recommendation questions: "What is the best [business type] in [city/neighborhood]?"
2. Comparison questions: "What is the difference between [business A] and [business B]?"
3. Availability questions: "Which [business type] is open now in [city]?"
4. Specialization questions: "Which dentist in [city] has experience with anxious patients?"
5. Experience questions: "What are the experiences with [business name]?"

Create FAQ content on your website that answers these question patterns. Not only in a FAQ section, but also weave the answers into your regular page content. An about page that tells visitors you have been specializing in Neapolitan pizza for over 15 years indirectly answers the question of who the most authentic pizzeria nearby is.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "Is Bella Napoli suitable for large groups?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Yes, we have a separate room for groups of up to 30 people. Reserve at least 48 hours in advance for groups larger than 8. We offer a special group menu starting at 25 euros per person."
      }
    },
    {
      "@type": "Question",
      "name": "Does Bella Napoli offer gluten-free pizza options?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Yes, we offer gluten-free pizza dough for all our pizzas. The gluten-free dough is prepared separately to prevent cross-contamination. Please indicate when reserving that you want to eat gluten-free."
      }
    },
    {
      "@type": "Question",
      "name": "Is there parking near the restaurant?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "We do not have our own parking, but paid parking is available on Ferdinand Bolstraat and surrounding streets. De Pijp parking garage (5 minutes walking) offers 24-hour parking. The restaurant is also easily reachable by tram (line 24, stop Marie Heinekenplein)."
      }
    }
  ]
}
</script>

Reviews and local authority

For local businesses, reviews are the most powerful AI signal. AI models use reviews not only for the average score but also analyze the review texts to identify specializations and strengths. A restaurant that is consistently praised for "the best pizza margherita in Amsterdam" will be cited by AI models when someone asks exactly that.

Actively encourage reviews on Google, but also on platform-specific review sites relevant to your industry: TripAdvisor for hospitality, Yelp for restaurants, industry-specific directories for professional services. The more review sources you have, the more robust the picture AI models build of your business. This strengthens your E-E-A-T profile: real customer experiences are the ultimate proof of expertise and trustworthiness.

Respond to every review, positive or negative. Your responses are also indexed and give AI models extra context about how you interact with customers. A professional response to a negative review can actually strengthen your trustworthiness signal.

Key takeaways

• LocalBusiness schema with the most specific subtype, GeoCoordinates and opening hours is the foundation of local AEO.
• GeoCoordinates with accurate latitude and longitude are essential so AI models can calculate proximity.
• Your Google Business Profile is a primary information source for AI models and must be 100% consistent with your website schema.
• Local FAQ content that answers common question patterns increases your chance of citation in AI answers.
• Reviews across multiple platforms build the trustworthiness profile AI models use to make local recommendations.

Frequently asked questions

The local business owner who invests first in AI visibility builds an advantage that competitors will find hard to catch up with. In local search it is not about the biggest budget, but about the best structured information.