Google's AI Overviews now appear for a growing share of local search queries, and when they do, they push traditional results down or eliminate clicks entirely. Here's what AI Overviews mean for local businesses and how to appear in them.
AI Overviews are Google's AI-generated summaries that appear above search results for an increasing number of queries. For local businesses, AI Overviews now show up for local service queries, business comparison queries, and recommendation searches, placing AI-generated content between your business and potential customers. This guide covers what AI Overviews are, how they affect local search visibility, and how to optimize your Google Business Profile and website to appear in them.
AI Overviews (powered by Google's Gemini AI) generate a summary response at the top of search results before the traditional blue links, Local Pack, and organic results appear. When a user searches a local query, they may see an AI-written response that names and describes specific businesses, or answers their question without showing any businesses at all.
Examples of AI Overview local queries:
What happens in the AI Overview:
Why this matters for local businesses: When an AI Overview names a competitor's business but not yours, you lose visibility even if you rank in the Local Pack below it. AI Overviews represent a new layer of local search visibility above traditional rankings.
📊 Flento Data: Flento's analysis of local search queries with AI Overviews shows that businesses with complete GBP profiles (all attributes active, 50+ reviews, schema markup on website) appear in AI Overviews for relevant queries at 2.9x the rate of businesses with sparse profiles.
AI Overviews don't rank businesses the same way the Local Pack algorithm does. Gemini AI selects businesses to mention based on:
Relevance to the specific query: The AI matches businesses to the specific attributes in the query. "HVAC contractor with emergency service" requires that your GBP explicitly declares emergency service availability. If you offer it but haven't listed it, the AI can't confirm it.
Review content: The AI reads review text to verify claims. If your reviews mention "same-day service," "responded within the hour," or "great gluten-free options," those phrases become evidence the AI uses to match your business to relevant queries.
Structured data: Schema markup on your website, especially FAQPage, Service, and LocalBusiness schema, provides reliable structured sources for the AI to read. Businesses with proper schema markup provide cleaner data than those without.
GBP attribute completeness: Every attribute you mark in your GBP (outdoor seating, accepts credit cards, wheelchair accessible, emergency service) is a filter the AI can use when answering attribute-specific queries.
Website authority and content: The AI also reads your website. A business with a detailed, well-structured website that clearly explains services, hours, location, and policies gives the AI more to work with than a thin website or no website.
If you've searched a query and AI Overviews didn't appear, several factors determine when they trigger:
Query type: AI Overviews appear more frequently for informational, comparative, and recommendation queries. Simple navigational queries ("Joe's Pizza hours") typically don't trigger AI Overviews.
Geographic specificity: Queries with very specific locations ("restaurants in ZIP code 78701") are less likely to trigger AI Overviews than broader queries ("restaurants in Austin").
Personalization: Google personalizes AI Overview appearance based on search history, location, and device. The same query can produce different results for different users.
Topic sensitivity: Google has reduced AI Overview appearances for health, legal, and financial queries where accuracy is critical, preferring authoritative sources over AI summaries.
Market and competition: AI Overviews appear more frequently in categories and markets where Google has enough reliable data to generate confident answers.
Step 1, Complete all GBP attributes: Every attribute in your GBP that matches a potential query modifier should be active. If you offer emergency service, check it. If you have outdoor seating, check it. If you're wheelchair accessible, check it. These attributes are the filters the AI uses for specific queries.
Step 2, Write your GBP description as answers to questions: The AI reads your description as source material. Instead of generic descriptions, write declarative sentences that answer likely customer questions:
"We offer emergency HVAC repair 24/7 with no after-hours surcharge. Our technicians are NATE-certified and serve the greater Austin metro area."
This gives the AI specific, quotable claims, which is what it needs to mention you in an AI Overview for an emergency HVAC query.
Step 3, Add FAQPage schema to your website: FAQPage schema is the most direct way to provide structured Q&A data that AI Overviews can cite. Write 8–15 questions and answers covering your most common customer queries. Format them as complete question sentences and direct factual answers.
Example FAQ entries:
Step 4, Build review content: Review text is a source the AI cites. Encourage customers to write reviews that mention specific attributes, not just star ratings. A review that says "they came out the same day, fixed our AC in 2 hours, and the tech was professional" gives the AI evidence of same-day service to match against relevant queries.
Step 5, Add LocalBusiness schema with all fields:
Populate openingHours, areaServed, priceRange, telephone, and for service businesses, hasOfferCatalog listing your services. The more structured your website data, the more reliably the AI can extract and use it.
Understanding the difference helps you optimize for both:
| Factor | Traditional Local Pack | AI Overviews |
|---|---|---|
| Ranking signal | Relevance + Distance + Prominence | Relevance + Attribute match + Content quality |
| Distance | Critical for "near me" queries | Less critical, AI answers broader questions |
| Reviews | Volume and rating | Content and specific claims in review text |
| Schema markup | Indirect signal | Direct source for AI citations |
| GBP attributes | Moderate weight | High weight, direct filter matching |
| Speed to appear | Months of optimization | Can appear from existing content |
The practical implication: You can appear in an AI Overview for a query where you don't rank in the traditional Local Pack, if your profile and website have the right structured content. And you can rank in the Local Pack but not appear in AI Overviews, if your profile lacks the specific attributes the AI is looking for.
Optimizing for both is the complete local SEO strategy in 2026.
In 2026, Google expanded Gemini AI into Maps itself through "Ask Maps", a conversational interface that lets users ask questions about businesses in a specific area. "Find me a jewelry store that does custom engagement rings" generates an AI response naming businesses, rather than showing a traditional map list.
What drives Ask Maps results:
How to optimize for Ask Maps: The same principles that apply to AI Overviews apply to Ask Maps. Complete attributes, declarative description content, service schema, and FAQ schema all increase your likelihood of being named in Ask Maps responses.
AI Overviews are expanding: Google has been steadily expanding the percentage of queries that trigger AI Overviews. Local queries are increasingly included, especially for service-based searches where intent is clear.
Zero-click risk: When an AI Overview fully answers a user's question, they may not click through to any website or business. For informational queries ("how much does AC replacement cost"), this is a real risk. For commercial queries ("which HVAC company should I call"), the AI typically names businesses with links.
Content quality matters more: As AI reads and synthesizes content, thin or generic business profiles and websites perform worse. Businesses that invest in specific, factual, well-structured content about their services and attributes gain visibility in AI results.
Start free on Flento →, Flento tracks your GBP completeness, monitors your local ranking, and helps ensure your profile has the structured data that drives AI visibility.
What are AI Overviews in local search? AI Overviews are AI-generated summaries powered by Google's Gemini that appear above traditional search results for many queries. In local search, they summarize and recommend businesses for queries like "best plumbers in Austin" or "restaurants with outdoor seating near me", citing specific businesses with links. They create a new visibility layer above the traditional Local Pack that businesses need to optimize for separately from standard local SEO.
How do I get my business to appear in AI Overviews? The key factors: (1) complete every relevant attribute in your GBP, these are the filters AI uses for specific queries, (2) rewrite your GBP description as declarative, factual sentences that answer customer questions, (3) add FAQPage schema to your website with realistic Q&A entries, (4) add LocalBusiness and Service schema markup, (5) generate reviews that mention specific service attributes. Businesses with complete, structured data appear in AI Overviews at significantly higher rates than those with sparse profiles.
Why are AI Overviews not showing for my search? AI Overviews don't appear for all queries. They appear more frequently for informational and comparison queries than for navigational or transactional ones. Simple queries like "[business name] phone number" typically don't trigger AI Overviews. Google also reduces AI Overview appearances for health, legal, and financial queries. Geographic specificity, personalization, and the availability of sufficient reliable data all affect whether an AI Overview appears.
Does appearing in AI Overviews improve business performance? Yes, when the AI Overview names your business. Being cited in an AI Overview places your business at the very top of the results page, before organic results and often before the traditional Local Pack. This visibility drives brand awareness and direct traffic. However, AI Overviews can also reduce overall organic click-through rates by answering questions without requiring a click, so optimizing for AI citation (appearing by name) is more important than optimizing for the content question alone.
How is AI Overview optimization different from regular local SEO? Traditional local SEO focuses on review volume and rating, citation consistency, and GBP completeness to rank in the Local Pack, driven by distance, relevance, and prominence. AI Overview optimization focuses on structured data (schema markup, GBP attributes), content clarity (declarative factual statements in descriptions), and review content (specific attribute mentions in review text). The two overlap substantially but AI Overview optimization places more weight on structured data quality than traditional local SEO does.
