Local search is no longer confined to Google Maps. In 2026, AI systems have become the primary interface through which customers find local businesses—and the rules are different.

When someone asks ChatGPT “best coffee near me,” Perplexity “Italian restaurants downtown,” or Google’s own AI Overviews “hair salon with good reviews,” they’re not clicking through to Google Maps. They’re reading an AI-generated summary that pulls from knowledge panels, business schema, and public data sources your business controls—or doesn’t.

This is the local business opportunity most companies miss. While they optimize for Maps stars and local pack rankings, AI is reading your business data from an entirely different layer. This playbook walks you through the signals that matter, the tactics that work, and how to dominate local AI search in 2026.

The Knowledge Panel: Your New Homepage

Google’s mobile knowledge panel has become the canonical source for business data. When you search for a restaurant, salon, plumber, or dentist on mobile, the knowledge panel appears before Maps, reviews, or organic results. It contains:

For AI systems, this panel is the source of truth. ChatGPT queries Google’s knowledge panel. Perplexity pulls from it. Google’s own AI Overviews reference it. If your knowledge panel is incomplete, outdated, or weak, AI systems will either skip you or present incomplete information to users—and users won’t convert.

The knowledge panel lives or dies on three things: your Google Business Profile, schema markup on your website, and the quality of data feeding into both.

Audit Your GBP

Log into Google Business Profile and check the basics first:

Your description is critical. Don’t write “Full-service Italian restaurant in downtown Portland serving wood-fired pizza and pasta since 2015.” Write it for AI: “We serve wood-fired pizzas and handmade pasta in downtown Portland. Open daily 11 AM–11 PM. Dine in or takeout. Reservations recommended for groups.” Include your hours, service types, and vibe in prose form. AI systems extract facts from this text.

Schema Markup on Your Website

Even if your GBP is perfect, AI systems will cross-reference your website’s schema markup. This is structured data that tells Google (and AI systems) exactly what your business is, what you offer, hours, reviews, and more.

Implement LocalBusiness schema on your homepage:

{
  "@context": "https://schema.org/",
  "@type": "Restaurant",
  "name": "Restaurant Name",
  "image": "https://yoursite.com/logo.jpg",
  "description": "Full description of your restaurant",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "123 Main St",
    "addressLocality": "Portland",
    "addressRegion": "OR",
    "postalCode": "97214",
    "addressCountry": "US"
  },
  "telephone": "+15035551234",
  "url": "https://yoursite.com",
  "openingHoursSpecification": [
    {
      "@type": "OpeningHoursSpecification",
      "dayOfWeek": "Monday",
      "opens": "11:00",
      "closes": "23:00"
    }
  ],
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.6",
    "ratingCount": "328"
  }
}

This markup validates your knowledge panel data and gives AI systems a machine-readable source. When there’s a discrepancy between your website and your GBP, schema helps resolve it in your favor.

Reviews as AI Signals

Google reviews aren’t just for customer confidence anymore. They’re the primary input signal for AI visibility in local search.

AI systems analyze reviews for:

Your job: systematize review generation.

Ask satisfied customers to leave reviews. Make it easy—send a text with a direct link. But ask them to be specific: “What did you order? What made it stand out?” A five-star review saying “I ordered the lamb ragu with fresh egg noodles, best I’ve had in Portland” reaches more people through AI than ten generic “Highly recommend!” reviews.

Respond to every review. Thank them for specifics. Address criticism calmly. This builds credibility signals for AI systems reading your review patterns.

Local Press as AEO Leverage

Press coverage is one of the few signals that both Google and independent AI systems weight heavily.

When a local publication—a neighborhood blog, city magazine, or regional newspaper—publishes a piece about your business, AI systems treat it as validation. They ask: “If this business was real and good, wouldn’t legitimate media cover it?”

This doesn’t mean you need coverage in the New York Times. A feature in a local food blog, a mention in your city’s “Best of” list, or a quote in a neighborhood publication carries signal weight far beyond the traffic it drives.

The tactic:

Once published, claim the article in your GBP’s “Posts” section. Tag it in your schema. Link to it from your website. AI systems will find it.

How ChatGPT and Perplexity Handle “Near Me” Queries

When a user asks ChatGPT “best plumber near me in Seattle,” ChatGPT doesn’t have location data from the search. It uses the IP address or makes reasonable guesses. Then it queries Google’s knowledge panels and public data sources to assemble an answer.

Here’s what it’s looking for:

  1. Does this business appear in the knowledge panel for the city and category?
  2. Does it have a high aggregate rating and recent reviews?
  3. Are there third-party mentions or press coverage?
  4. Does the business have schema markup on its website confirming the data?

Perplexity uses similar logic but adds its own research layer—it may cite press articles, local directories, or industry databases. If your business appears in local press or industry publications, Perplexity will find it.

Your advantage: these AI systems prefer recent, specific data. A plumber with a 4.8-star rating built this year from 50+ reviews showing specific work (water heater replacement, pipe repair) will beat an older competitor with 5.0 stars from 15 generic reviews.

The Competitive Landscape

Your local competition is no longer just other businesses in Google Maps. It’s how well your data integrates across:

A business that owns all five of these layers appears in AI search results with a complete picture. A business that owns three appears incomplete. One that owns one looks suspicious.

Your 2026 Checklist

  1. Verify your GBP. Hours, phone, address, description, photos. Add 10+ new photos this quarter. Respond to all reviews within 24 hours.

  2. Audit your website’s schema. Use Google’s schema markup validator to ensure your LocalBusiness schema is clean and complete. Update it whenever you change hours, services, or location.

  3. Systematize reviews. Ask every satisfied customer for a review. Target 10–15 new reviews per month. Encourage specificity.

  4. Pitch local press. Identify three local publications. Pitch one story per month. Aim for one feature per quarter.

  5. Standardize your data. Audit your business name, address, phone, and description across Google, Yelp, Facebook, and any industry directories. Make them identical.

  6. Build social proof. Encourage customers to post photos and tag your business on Instagram and Google. Repost the best ones on your own channels.

  7. Track visibility. Set up monthly checks: search your business name + city on Google, ChatGPT, and Perplexity. Note what appears. Look for gaps in data. Fix them.

AI search for local businesses isn’t complicated. It’s just a different game than Google Maps. Your knowledge panel, reviews, schema, and press coverage are your cards. Play them well, and AI systems will hand customers your way.