What 120K AI Mentions Teach Us About Local SEO
AI search is changing how consumers discover local businesses. After reading Sara Vordermeier's research-driven article in Search Engine Journal, we wanted to share what we learned — and what these findings could mean for Local SEO, GEO and multi-location businesses.
SEARCH
For years, local SEO has largely revolved around one central question: How can my business rank higher in Google Search and Google Maps?
That question is still important. But the search landscape is changing quickly.
Consumers are increasingly asking AI systems questions such as "What is the best dentist near me?", "Which hotel should I book in this city?", or "What are the best restaurants for a family dinner?"
Instead of simply displaying a traditional list of links, generative AI systems interpret information from multiple sources and produce recommendations.
That creates a new question for local businesses:
How do you become one of the businesses that AI chooses to recommend?
5 AI Models, 4 Signals: What 120K Mentions Reveal About Multi-Location SEO
After reading the article by Sara Vordermeier published on Search Engine Journal, we wanted to share our own takeaways and explain what we believe the findings mean for businesses investing in Local SEO and Generative Engine Optimization.
AI Search Has Its Own Version of Local SEO
One of the biggest lessons we took from the research is that optimizing for Google alone may no longer be enough.
Different AI models can interpret and prioritize information differently. That means there may not be one universal "AI ranking factor."
Instead of asking:
"How do I rank in ChatGPT?"
businesses should start asking:
"Is my business consistently represented as a relevant, trustworthy local entity across the web?"
That is a much more useful way to think about Generative Engine Optimization.
6 Things We Learned
Business Data Matters
Complete and accurate location information helps search systems understand what a business is, where it operates and what it offers.
Reviews Matter
Review volume can provide an important signal of real-world presence, reputation and customer activity.
Authority Matters
Editorial coverage, news mentions and authoritative third-party references can strengthen a business's digital authority.
Images Matter
Rich visual profiles can provide additional context about a physical location and the experience customers can expect.
Social Signals Matter
Social platforms can contribute to the broader digital footprint that AI systems use to understand businesses.
Consistency Matters
Consistent business information across websites, profiles, directories and third-party sources helps reinforce the identity of a local entity.
Business Data Is the Foundation
The first major takeaway is the importance of accurate business information.
A location's business name, category, description, services, attributes, photos and other profile information can help search systems understand the business.
For a multi-location company, this becomes much more than a one-time optimization exercise. Maintaining accurate information across hundreds or thousands of locations becomes an ongoing data-management challenge.
What businesses should check
- Business name and contact information
- Primary and secondary categories
- Services and business attributes
- Opening hours and special hours
- Location-specific descriptions
- High-quality location photos
- Consistent information across third-party platforms
Bigger Brands Don't Automatically Win
Another interesting takeaway is that brand size alone does not guarantee AI visibility.
Large companies have obvious advantages, but smaller and independent businesses can compete by building strong signals around reputation, expertise, local relevance, customer experience and authoritative mentions.
Market share is not necessarily the same thing as AI authority.
Digital Authority Still Matters
AI search may look very different from traditional search, but one familiar SEO principle continues to matter: authority.
Businesses should not rely entirely on their own websites to tell the world how good they are.
Third-party sources can provide independent confirmation that a company is relevant, established and trusted.
This changes how we think about link building
Traditional link building often focuses on one question:
"How many backlinks can we acquire?"
A broader AI-search perspective asks:
"Where is our brand being discussed, referenced, recommended or validated?"
That expands the role of digital PR, editorial mentions, industry publications, expert contributions, local media, community involvement and relevant third-party websites.
Reviews May Be More Important Than Just Star Ratings
Reviews are another important part of the picture.
One of the findings highlighted in the research is that review volume showed a more consistent relationship with AI mentions than star ratings across the categories studied.
This doesn't mean ratings are unimportant. A poor rating can obviously damage a business.
But a large volume of authentic customer feedback can also provide evidence that a business has a real and active customer base.
Our takeaway
Don't obsess over achieving a perfect-looking review profile while ignoring review volume and customer experience.
The better strategy is:
Great customer experience + consistent, authentic reviews = stronger reputation signals.
Images Are More Than Decoration
Local businesses should also rethink the role of images.
Photos aren't simply there to make a Google Business Profile look attractive. They can provide additional information about a physical location.
A restaurant, for example, can showcase its exterior, dining areas, menu items, staff, signature dishes and events.
A hotel can showcase rooms, amenities, facilities, common areas and its surroundings.
The objective is to create a richer digital representation of the real-world business.
Social Media Is Part of the Broader Digital Footprint
Social media should no longer be viewed purely as a community or engagement channel.
Active Facebook, Instagram and other relevant profiles contribute to the wider collection of information available about a business.
For local businesses, social content can reinforce expertise, location, products, people, events and customer experiences.
The key is not simply having a social profile. It is maintaining a useful and authentic presence.
The Bigger Opportunity: Entity SEO
This is where the findings become particularly interesting for us at Qorwin.
Imagine a company whose website says one thing, its business profiles use slightly different information, social profiles have inconsistent names, and third-party directories contain outdated details.
Humans may still understand that these profiles represent the same company.
But search engines and AI systems need to connect information across multiple sources.
This makes entity consistency increasingly important.
A stronger local entity has consistent signals around:
- Business name
- Address and service area
- Phone number
- Website
- Services
- Categories
- Customer reviews
- Social profiles
- Editorial mentions
- Local and industry references
Local SEO Is Moving From Rankings to Representation
Traditional Local SEO often focuses on:
- Google Maps rankings
- Local organic rankings
- Keyword visibility
- Calls and direction requests
- Website traffic
These metrics remain valuable.
But AI search introduces another layer:
How does AI describe your business when someone asks for a recommendation?
Does AI recognize the correct location?
Does it understand the company's services?
Does it recognize the business as an authority?
Does it mention the brand when users ask category-specific questions?
Does it provide accurate information?
These questions are becoming part of the modern search visibility conversation.
The New Local Search Stack
Based on the research and our own experience, we believe modern local search strategies need to bring several disciplines together.
Traditional SEO
Technical SEO, content, internal linking, keyword targeting and organic search visibility.
Local SEO
Local profiles, location pages, citations, reviews and local relevance.
Reputation
Reviews, sentiment, customer experience and brand mentions.
Digital PR
Editorial coverage, industry publications, expert contributions and authoritative references.
Entity SEO
Consistent information that helps search engines and AI systems understand the business.
GEO / AEO
Content and digital signals designed to improve visibility across generative and answer-driven search experiences.
What Should Multi-Location Businesses Do Now?
Businesses shouldn't treat these findings as a guaranteed list of AI ranking factors. AI systems are continuously evolving, and correlation does not automatically mean causation.
Instead, use the findings as a strategic framework for building a stronger digital presence.
1. Audit Every Location
- Review every business profile
- Check categories and services
- Update business descriptions
- Audit photos
- Review opening hours
- Check local landing pages
2. Build a Legitimate Review System
Encourage satisfied customers to leave genuine feedback. Don't manufacture reviews or manipulate ratings.
Focus on delivering an excellent customer experience and creating a consistent process for requesting authentic reviews.
3. Build Authority Beyond Your Website
- Local media coverage
- Industry publications
- Expert contributions
- Relevant editorial lists
- Local organizations
- Community involvement
- Industry partnerships
4. Create Better Location Pages
Don't create hundreds of pages that simply replace one city name with another.
Each location page should provide genuine local value.
- Local services
- Location-specific FAQs
- Local customer questions
- Staff information
- Directions
- Unique photos
- Relevant customer reviews
- Local service areas
5. Start Measuring AI Visibility
Businesses should begin asking AI systems questions that their potential customers might ask.
- What are the best [service] providers in [city]?
- Which [business type] would you recommend near [location]?
- Who specializes in [service] in [city]?
- Compare [brand] with its competitors.
- What is [brand] known for?
Track whether your business appears, which competitors are mentioned, what sources are cited, how the business is described and whether the information is accurate.
The Biggest Lesson for SEO
The most important lesson isn't that there are four new AI ranking factors.
It is something much bigger.
AI search is making the entire digital footprint of a business more important.
Your Google Business Profile matters.
Your reviews matter.
Your website matters.
Your social profiles matter.
Your press coverage matters.
Your third-party mentions matter.
Your images matter.
Your location pages matter.
Your reputation matters.
And increasingly, how all of these sources connect to one another matters.
From Local SEO to AI-Ready Local Search
The research highlighted in Sara Vordermeier's Search Engine Journal article gives marketers an interesting view into where local search is heading.
It doesn't mean that every AI model uses exactly the same formula. Nor should marketers treat individual correlations as guaranteed ranking mechanisms.
But the direction is becoming increasingly clear:
AI is becoming another discovery layer between consumers and businesses.
For multi-location brands, the objective is therefore no longer simply:
"Rank number one in Google."
The objective is becoming:
Be the business that search engines and AI systems can confidently understand, trust and recommend.
That requires a combination of Local SEO, entity optimization, reputation management, content, digital PR, social signals and Generative Engine Optimization.
Is Your Business AI-Ready?
Search is changing from ranking pages to understanding and recommending entities. Your digital presence needs to evolve with it.
Explore Qorwin's SEO & GEO Services →
Hi, I’m the original author of this article. Thanks for sharing! Could you link to my name here for credit – my LinkedIn is: https://www.linkedin.com/in/svordermeier/. Many thanks!