68% of Local Searches Trigger AI Overviews: How to Get Your Business Cited
Summarize this article with AI
Tuesday morning, a client calls. His local traffic dropped 15%.
A client calls me on a Tuesday morning. 8:47 a.m.
He runs an e-commerce auto parts business. 3,400 products. 4 physical stores in Nantes, Rennes, Angers, and Le Mans.
He invested $12,000 in local SEO over 18 months.
Result?
His local organic traffic fell 15%.
Incoming calls too.
I look at his pages.
His Google Business Profile is well-rated.
His title tags are clean. Local keywords are there.
The problem isn’t the content.
It’s the architecture.
His location pages are carbon copies. One page per store, same text, just the city name changed. No internal linking between them.
The site has no dedicated pages answering the questions customers actually ask in each city.
Worse: when someone searches something slightly hybrid— »how much does a timing chain service cost near Rennes »—his site appears nowhere.
Not in the local pack.
Not in the AI Overview.
Gone.
The client bet everything on the pack.
He missed the shift.
According to the Whitespark study relayed by Search Engine Journal, the shift is massive. See how AI Overviews dominate local search results compared to the traditional local pack.
AI Overviews vs Local Pack: The 29-Point Gap
Whitespark study reveals AI Overviews appear in 68% of local searches vs 39% for the local pack.
The fracture: 68% versus 39%, the numbers that change everything
A Whitespark study, published in Search Engine Journal, measured AI Overview appearance across 15 local markets.
The verdict is brutal.
68% of local searches now trigger an AI Overview.
The local pack? 39% only.
That’s a 29-point gap.
Where your potential customers are searching for information, Google generates a complete answer without them needing to click.
Sometimes the AI Overview includes a mini-pack with a map.
Sometimes nothing. Just a text response.
The worst part is how it varies by query type.
Simple transactional searches— »tacos Nantes »—still trigger the local pack.
But the moment someone asks a hybrid question, the AI Overview takes over.
Examples:
« How long does an eye exam take near me » triggers an AI Overview 92% of the time.
« Average cost of dental implants in Marseille » reaches 97%.
You read that right. 97%.
These queries aren’t edge cases. They’re the daily reality for thousands of e-commerce businesses with physical locations.
If your catalog is in Lyon and someone asks « which electric bike mechanic accepts Bosch Performance CX parts near Lyon, » your Google Business listing won’t cut it.
Google controls the user expérience.
You don’t.
And if you’re only tracking your local pack rankings, you have a 29-point blind spot.
Google wants the answer, not your link
I observe that the AI Overview is a personal assistant.
It factors in trust, location, and expertise to deliver one unique answer.
Before, it was simple.
Someone typed « plumber Bordeaux ».
They saw the pack. Clicked a name.
You appeared if you had good ratings and citations.
Now the user asks « how much does electric water heater repair cost in Bordeaux on a Sunday ».
The AI Overview analyzes local pages, forums, and business listings.
It outputs a price, a timeline, advice.
Sometimes it cites a source, sometimes it synthesizes without a link.
Your business is cited only if you’re the authority on that local question.
That’s where most e-commerce sites with physical locations miss the mark.
They have « Our Stores » pages with a map and hours.
That’s it.
No answers to questions. No local expertise content.
The AI has nothing to work with. It cites a competitor.
The game has changed.
Google said it: visibility in AI comes from content people want to read, not content optimized for rankings.
So a location page must answer questions, show local expertise, and be structured like a knowledge base.
It becomes a hub page.
Not a listing.
The 4 pillars of a location page that gets your business cited ($0 in ads)
With my clients running 7 to 8 storefronts, I’ve identified 4 pillars.
The ones who apply them see their name appear in AI Overviews for high-intent queries.
Pillar 1: Ultra-local expertise content.
Your page isn’t a brochure. It’s the answer to a question a resident is asking.
Example for a bike shop in Nantes:
Don’t just say « Our Bikes in Nantes ».
Create a guide: « Repair a Bosch e-bike under warranty near Place Graslin: what does insurance cover? ».
Give examples, prices. Include an FAQ schema.
Pillar 2: Semantic cocoon architecture.
Each location page is linked to your homepage via a clear path.
A « Nantes Store » page points to a « Stores » page which points to the homepage.
Inside « Nantes Store », sub-pages for each specific service.
Internal linking builds a trust theme for Google.
I call this the local cocoon.
Pillar 3: Geolocalized authority signals.
Your « company » entity must be tied to the city.
Get your store mentioned in local press, trusted directories (chamber of commerce sites, yellow pages), partnerships with other businesses.
The more your entity is connected to the city, the more the AI Overview recognizes it.
Pillar 4: Consistent structured markup.
Implement LocalBusiness schema on each page.
Add hours, payment methods, service type, geographic zone.
Don’t skip serviceArea.
And add FAQ schema for local questions.
These 4 pillars require no ad budget.
Just methodical restructuring.
Schema, entities, and the final barrier
Let’s be clear.
A well-structured location page without authority is an empty shell.
The AI relies on entities. Not keywords.
Your « Lyon Bellecour » store must be recognized as an entity with a stable identifier.
Two things get you there:
1. Link your Google Business Profile listing to your dedicated page.
2. Use the same business name, address, and phone number consistently across all web properties.
The AI detects inconsistencies.
A phone number that changes from page to page?
A store name sometimes abbreviated?
It doesn’t merge the signals. It treats them as two separate entities.
Your local authority is then cut in half.
Next, JSON-LD markup.
Place it directly in the page head.
Don’t put it in an external file.
Include: @type: LocalBusiness, address, telephone, openingHours, priceRange.
If you offer repair services, add makesOffer.
Finally, a practice I see often: no dedicated page per local service.
Example: a florist in Bordeaux should have a « Flower Delivery Bordeaux » page separate from « Wedding Bordeaux », each with its own Service markup.
That’s the granularity the AI Overview searches for when a specific question is asked.
I’m not selling you a method. I’m showing you the pages.
The ones that get cited. The ones people forget.
Stop measuring what no longer exists
Many e-commerce businesses still track their local pack positions.
That’s a mistake.
The Whitespark study shows some queries don’t even generate a pack.
They only show an AI Overview with a synthesized answer.
Your business can be invisible even if you’re first in Google Maps.
What should you track then?
3 metrics.
1. AI Overview appearance rate (manual tracking or entity monitoring tools).
2. Organic traffic to individual location pages, not site-wide.
3. Calls and clicks from your GBP listing, but especially visits to your « Our Stores » page.
Run the analysis by city and by intent.
You’ll immediately see if a store in your network is AI-powered or not.
And if it isn’t, you apply the 4 pillars.
Within 3 weeks, your business name can start appearing as a source in AI Overviews.
I saw it recently with an online hardware retailer running 5 distribution hubs.
After restructuring their hub pages into expertise hubs, their name was cited 14 times in 10 days on local informational queries.
14 citations.
No ads.
No extra budget.
Local SEO in 2026 isn’t won on the listing.
It’s won on structure.
Is your business already a source in the AI Overview?
The Tuesday morning client got it.
We stopped producing identical listings.
We built hub-page architecture by city, linked in a cocoon.
We integrated ultra-local guides and structured schemas.
Result after 4 months: +32% organic traffic to location pages.
And 9 AI Overview citations on purchase-intent queries.
The investment?
$2,400 in restructuring.
The return? Visibility that no longer depends on the pack.
The Whitespark study is a wake-up call.
68% of local searches go through the AI Overview.
And that proportion will climb higher.
E-commerce brands that don’t adapt their location pages today will vanish from results tomorrow.
The good news is the path is clear.
Build local expertise content and structure your pages in silos.
Strengthen your entity authority too.
So, when was the last time you checked if your store appeared in the AI Overview for your key questions?
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Book a strategic call — 45 minFrequently Asked Questions
What is an AI Overview in a local search?
It’s an AI-generated answer from Google that appears above standard results. It pulls info from multiple sources and answers the question directly, often without a map or local pack.
Why doesn’t my business appear in AI Overviews even though I rank well in Google Maps?
I observe that the AI Overview demands more than a Google Business listing. It evaluates local expertise, page structure, and entity authority. You need detailed location pages, structured schema markup, and pages linked through a semantic cocoon.
What kind of pages should I create to be cited in a local AI Overview?
For each city, build a hub page answering frequent customer questions. Add sub-pages per local service—for example, « Express Repair in Bordeaux ». Use <code>LocalBusiness</code> and <code>FAQ</code> schema with content showing your local expertise. Link everything to your homepage through a silo structure.
Do Google reviews influence my appearance in the AI Overview?
Yes, but indirectly. Positive reviews strengthen your entity. The more detailed reviews your store gets—ones that mention your services and city—the stronger the entity becomes. But without structured content on your site, reviews alone won’t cut it.
How long does it take to be cited in the AI Overview after optimizing?
With my clients, I see first citations appear 3 to 6 weeks after restructuring pages into expertise hubs and building cocoon linking. Timeline varies based on initial domain authority and consistency of local signals.
