GEO for Local Business: How to Get Cited for 'Best [Business] in [City]' Searches
Local queries are one of the biggest GEO opportunities. How AI search engines evaluate local relevance, what Google Business Profile means in the AI context, and how small companies can beat the big players in local AI search.
"Best accountant in Brno." "IT support Prague 5." "Recommend a gardener in Olomouc." These queries are gold — the user is ready to buy or call. And people are increasingly putting them to AI search engines.
Local AI search is one of the biggest GEO opportunities of 2026 for small and medium-sized businesses. Large national players are hard to beat in general AI search. In a local context, the playing field is significantly more level.
How AI search engines process local queries
For a local query, AI systems combine two groups of sources:
Structured data (Google Business Profile, local directories, Firmy.cz (Seznam's Czech business directory), Zlaté stránky (the Czech Yellow Pages), Yelp): These sources are machine-readable and form the basis of the entity graph for local businesses. AI models assign them high credibility because they are structured and verifiable.
Website content: Texts that explicitly mention the locality, describe the services provided in the area, and include locally relevant references.
ChatGPT and Claude without web browsing answer local queries primarily from their training data — that is, from what was online before the cutoff date. Perplexity and Google Gemini (with web access) can actively search for current information.
The practical implication: Google Business Profile is critical for Google Gemini and Google AI Overviews. For the other AI platforms, your website content is key — see how AI search engines perceive your brand.
The foundation of local GEO: Google Business Profile
Google Business Profile (GBP) is to local GEO what Organization schema is to general GEO. It is your most important local data source.
What must be complete and accurate:
- Business name: Exactly as it is in reality, with no keywords stuffed in
- Category: The primary category must precisely describe your main activity — the wrong category puts you in the wrong AI "drawer"
- Business description: 750 characters — phrase it as a structured answer to the question "what does this company do and for whom"
- Opening hours: Current and accurate — Google AI Overviews shows them directly in the answer
- Reviews: Count and average rating affect ranking in AI recommendations (see the reviews section below)
- Photos: A minimum of 10 photos of the current state — interior, exterior, products, or work
- Website link: Must point to a functioning website with consistent information
NAP consistency (Name, Address, Phone) is key: the information must be identical on your website, GBP, Firmy.cz, Zlaté stránky, and every other online occurrence. Inconsistency directly lowers your entity recognition score — AI models aren't sure which company they're talking about.
LocalBusiness schema markup
LocalBusiness schema is the local equivalent of Organization schema. Without it, your local optimization is incomplete. For a complete overview of schema markup types, I recommend the guide to schema markup for GEO.
Basic implementation (JSON-LD in the <head>):
{
"@context": "https://schema.org",
"@type": "LocalBusiness",
"name": "Your company name",
"description": "A brief description of what you do and where",
"address": {
"@type": "PostalAddress",
"streetAddress": "Ulice 123",
"addressLocality": "Brno",
"addressRegion": "Jihomoravský kraj",
"postalCode": "60200",
"addressCountry": "CZ"
},
"telephone": "+420 xxx xxx xxx",
"url": "https://yourcompany.cz",
"geo": {
"@type": "GeoCoordinates",
"latitude": "49.1951",
"longitude": "16.6068"
},
"openingHoursSpecification": [
{
"@type": "OpeningHoursSpecification",
"dayOfWeek": ["Monday","Tuesday","Wednesday","Thursday","Friday"],
"opens": "08:00",
"closes": "17:00"
}
],
"areaServed": ["Brno", "Jihomoravský kraj"],
"priceRange": "CZK"
}
The key field for AI citability is areaServed — it explicitly tells AI systems where you operate. Without it, AI has to infer your geographic coverage from the text content, which is less reliable.
Website content with local relevance
This is the area where small companies most often fall short. They have their GBP filled out, but the website contains no locally relevant content.
Location pages: If you serve multiple localities, create a separate page for each one. The content must be original — not the same text with the city name swapped out. The Brno page should mention the specifics of the Brno market, local references, or local partners.
Locally relevant case studies: "How we helped a Brno e-commerce store with XY" is more valuable for local GEO than a generic reference. A specific locality in a case study creates a direct connection in the AI model's knowledge base.
FAQ with local context: "Do you offer services in the Brno area too?" "How long does delivery to the South Moravian Region take?" "Do you have a branch in the city center?" These questions are exactly what users ask local AI search engines. Implement them with FAQPage schema markup.
Local context in your copy: Mentions of local media, regional partners, local events or associations — anything that anchors your website in a specific geographic community and strengthens local E-E-A-T.
The role of reviews in local AI search
Reviews are significantly more important for local AI recommendations than in general GEO. The reason: AI systems use reviews as a proxy for quality and local relevance.
When recommending local businesses, Perplexity and Google Gemini explicitly mention the rating and number of reviews in the answer. ChatGPT without web access doesn't know reviews directly from its training data, but text summaries of reviews from various platforms are part of its training.
The minimum for local GEO visibility:
- 20+ Google reviews
- An average of 4.3 or higher
- Reviews naturally containing keywords relevant to your services
- Owner responses to reviews — they strengthen E-E-A-T signals and demonstrate active management
A review strategy that works: ask every satisfied client for a review at a specific moment (after completing a job, after positive feedback). A personalized request with a direct link has a dramatically higher conversion rate than a generic call-to-action on your website.
We worked with a client — a carpenter from the South Moravian Region — who did excellent work but had only 4 reviews. After introducing systematic review collection (an SMS template after every job), he reached 31 reviews in 4 months. AI answers to "carpenter Brno" queries started mentioning him as one of the first recommendations, with an explicit mention of his rating.
Competitive analysis in local AI
The test we recommend to every local business client as a first step:
Open ChatGPT, Gemini, and Perplexity and enter: "Recommend a [your category] in [your city]."
Record:
- Which companies are mentioned?
- How are they described?
- Why are they probably mentioned — GBP, website content, reviews, media mentions?
This analysis reveals exactly where you're losing ground. A typical finding: a competitor with a worse product but 5× more reviews and a complete GBP is being recommended instead of you. That's an easier problem to fix than a content or technical gap.
Quick wins for local GEO
Sorted by effort-to-result ratio:
- Complete GBP (1–2 hours): Fill out every field, add at least 10 photos, rewrite the description as a direct answer to "what does this company do"
- NAP audit (30 minutes): Check the consistency of name, address, and phone number on your website, GBP, Firmy.cz, and Zlaté stránky — fix any discrepancies
- LocalBusiness schema (1 hour): Implement it on the homepage and contact page with
areaServed - Local FAQ (2–3 hours): Add 8–10 questions with local context with FAQPage schema markup
- Review system (ongoing): Set up a template for collecting reviews after every job
Companies that go through these five steps typically see a measurable improvement in local AI recommendations within 60–90 days.
Specifics for different industries
Restaurants and gastronomy: Google Maps integration is dominant — GBP is the absolute priority. Attributes (vegetarian menu, parking, wheelchair access) are cited directly in AI answers. Food photos are especially valuable for AI indexing of visual content.
Professional services (law, accounting, consulting): E-E-A-T signals are key — see E-E-A-T for GEO. An author bio with certifications, locally relevant case studies, and membership in professional associations increase credibility.
Trades and construction: Photo documentation of completed projects is a strong signal. Perplexity and Google Gemini can crawl and index visual content from your website. A gallery with descriptions of work in a specific locality combines visual authority with geographic anchoring.
E-commerce with local fulfillment: Combine local principles with GEO — a "Delivery to [region/city]" page with specific information is valuable content for local AI queries. A local warehouse or pickup point are strong entity signals.
Local GEO and llms.txt
For local businesses, llms.txt is an opportunity to explicitly state your geographic coverage directly for AI crawlers. Recommended format:
# [Company name]
Location: Brno and the South Moravian Region
Services: [list]
Contact: [phone, email]
Service area: [list of localities]
More on llms.txt in our guide for Czech companies.
Frequently asked questions
Does GEO work for local businesses too? Yes — queries like "best [service] in [city]" are among the most valuable of all, because the user is ready to buy. AI answers them with specific recommendations and picks from companies it knows and can localize.
What matters most for local AI visibility? A complete Google Business Profile (category, description, photos, up-to-date details), reviews with owner responses, and LocalBusiness schema markup with an accurate address and opening hours. That's the foundation AI builds local recommendations from.
What role do reviews play? A fundamental one — AI reads not only the ratings but also specific experiences ("fast communication", "helpful staff") and uses them to justify its recommendations. Respond to negative reviews too; AI sees both sides.
Does a local business need llms.txt? It's a useful addition, not the foundation. The priorities are Google Business Profile, reviews, and LocalBusiness schema; add llms.txt once those are in place — it helps clarify your entity and your offering.
Want to know how AI search engines describe you in your region and where you're losing ground to the competition? Our GEO Audit includes a local citability test for your key geographic markets.
About the author: Marek Nocar is the founder of NocarStudio, the first GEO studio in the Czech Republic. He helps local and national companies gain visibility in AI search engines — from technical implementation to content and local GEO strategy. → More about Marek
Founder of the first GEO studio in the Czech Republic. He helps companies become an authority for ChatGPT, Gemini and Perplexity.