A buyer in Delhi asks ChatGPT for the best biometric hardware supplier nearby. A homeowner asks Perplexity which plumber handles emergency callouts in their area. A patient asks Google AI Overviews which dental clinic takes walk-ins on weekends.
These are local queries with a physical answer. 59% of ChatGPT searches involve local intent, while AI Overviews appear in 92 to 97% of local informational queries. Most local businesses have no strategy for appearing in those answers.
What Makes Local AEO Different
Standard AEO asks: can AI systems extract an accurate answer from your content and attribute it to your brand? Local AEO adds a second question: can AI systems confirm you operate in the location the buyer is asking about?
You can have perfect schema, a well-structured website, and excellent reviews, and still be invisible in local AI answers if the geographic signals that confirm your service area are weak, inconsistent, or absent. AI engines building a local recommendation answer need to know what your business does, where you are, where you serve, whether you are currently open, and whether other sources corroborate that you actually operate there.
Your Google Business Profile Is Now a Data Feed
In 2026, GBP data is one of the most heavily weighted inputs AI systems use when composing local answers. Your categories, service descriptions, hours, attributes, photos, reviews, and Q&A section are machine-readable signals teaching AI what to say about you when someone asks.
Three things most local businesses get wrong with GBP in the AEO context:
- Staleness. Profiles with no fresh photos or posts in over 30 days can see significant drops in AI Overview impressions. Update your profile with at least one new photo or post weekly.
- Thin service descriptions. A GBP listing that says "Plumbing Services" with no further detail is not extractable. Write each service description as a direct answer to "what do you offer" — two to four sentences naming the service, describing what it covers, and specifying relevant locations.
- Unanswered Q&A. The Q&A section feeds directly into AI answers for local queries. Answer every question and add your own frequently asked questions proactively, written in the conversational phrasing your customers actually use.
LocalBusiness Schema: What Most Sites Miss
The geo field with precise latitude and longitude coordinates is what most local business sites miss. It is the signal that directly enables geo-specific AI answers. The areaServed array is equally important for service businesses that cover a wider area than their physical premises.
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Your Business Name",
"address": {
"@type": "PostalAddress",
"streetAddress": "Your Street",
"addressLocality": "Your City",
"addressRegion": "Your Region",
"postalCode": "Your Postcode",
"addressCountry": "IN"
},
"geo": {
"@type": "GeoCoordinates",
"latitude": "28.4744",
"longitude": "77.5040"
},
"areaServed": [
{"@type": "City", "name": "Delhi"},
{"@type": "City", "name": "Noida"},
{"@type": "City", "name": "Gurugram"}
],
"openingHoursSpecification": [{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday"],
"opens": "09:30",
"closes": "18:30"
}]
}
Reviews: What AI Actually Reads in Them
AI engines do not just count stars. They read review text. When Perplexity or ChatGPT recommends a local business, the language it uses to describe you is often extracted directly from what your reviewers have written.
A review that says "Great service" is not citable. A review that says "Fast turnaround on fingerprint scanner installation at our Sector 62 Noida office, everything was up within three hours" is a citation target. It names the service, the specific outcome, and the location.
You cannot script reviews. You can guide the experience. After a successful job, frame the feedback request around the specific work done and the location: "We'd really appreciate a review mentioning what we installed and where, so other businesses in [area] know what to expect."
Geo-Specific Prompt Tracking
For a local service business, a starter prompt set to track weekly:
- "Best [service type] in [City]?"
- "Who does [specific service] in [area]?"
- "Which [business type] is open now in [area]?"
- "Emergency [service] in [city] tonight?"
- "Who are the top [business type] suppliers in [city]?"
Run each prompt across ChatGPT, Perplexity, and Google AI Overviews. Note whether your brand appears, what it says about you, and which competitor shows up when you do not. Any prompt where a competitor appears and you do not is a specific gap with a specific fix.
A Toronto plumber followed a local AEO playbook for 90 days. Before AEO, ChatGPT did not mention them for any local prompt. After implementing LocalBusiness schema with GeoCoordinates, completing their GBP, and tracking 20 local prompts weekly, they appeared in 14 of 20 tracked prompts for emergency plumbing queries in their service area within four months.