Are Local Customers Really Using AI to Choose Businesses?

Local business owners are hearing a lot about AI search lately. ChatGPT. Gemini. Perplexity. Google AI Overviews. Generative Engine Optimization, or GEO.

But one practical question comes up again and again: Are real customers actually using AI to choose local businesses?

The honest answer is: yes — and faster than many business owners may realize.

Customers may not always use AI to make the final purchase or booking. They may still call the business, visit the website, check Google reviews, or ask a neighbor. But more customers are using AI earlier in the buying journey — asking AI tools to compare options, explain pricing, summarize reviews, recommend trustworthy providers, and help them decide who to call.

That means AI is becoming an influence layer between your business and your next customer.

AI Is No Longer Just a "Future Trend" for Local Search

For years, local businesses focused mostly on Google Search, Google Maps, Yelp, Facebook, and word-of-mouth referrals. Those channels still matter. But local search is changing.

BrightLocal's 2026 consumer research found that 45% of consumers have used AI tools for local business recommendations, up from 6% in 2025. BrightLocal also reported that AI tools have become the third most-used source for local business recommendations, behind Google and Facebook, and ahead of platforms like Yelp and Tripadvisor. (BrightLocal)

That is a major shift. It means customers are not only searching:

They may also be asking:

Or:

These are not simple keyword searches. They are conversational questions that include context, comparison, and judgment. That is exactly where AI tools are useful.

Customers Are Using AI for Research, Reviews, and Comparison

AI is especially useful before a customer makes a decision. A 2026 consumer study from the National Retail Federation and IBM found that 41% of consumers use AI assistants to research products, 33% use them to look for reviews, and 31% use them to search for deals. (National Retail Federation)

Even though that study focuses broadly on retail and consumer shopping, the behavior applies very naturally to local services. Before hiring a roofer, landscaper, HVAC contractor, tree removal company, or dentist, customers often want to know:

• What does this usually cost?
• Which provider is trustworthy?
• What do reviews say?
• What questions should I ask?
• What are the red flags?
• Who serves my town?
• Who looks more experienced?

AI gives customers a quick way to organize all that information. So the real question is not only "Are people buying directly through AI?" The better question is: Is AI influencing who makes the customer's shortlist? Increasingly, the answer is yes.

How Often Are Local Customers Using AI?

The exact number depends on the industry, customer age, urgency, price, and risk level. A customer buying coffee may not need AI. But a customer hiring a tree removal company, roofer, pest control company, landscaper, lawyer, dentist, or HVAC contractor has more to think about. The service may be expensive. The customer may worry about insurance, safety, quality, reputation, warranties, or whether the company is legitimate. That makes AI more useful.

Based on the newer 2026 data, a reasonable estimate is:

That does not mean 20–45% of customers are booking directly through ChatGPT. It means AI may influence how customers research, compare, and narrow down their options before they call, visit your website, or request a quote.

A customer may ask ChatGPT or Perplexity for recommendations, then search your business name on Google, read reviews, visit your website, and call you. In your analytics, that lead may look like Google, direct traffic, or phone traffic. But AI may have shaped the decision before the customer ever reached you.

AI-Driven Traffic Is Growing Too

Survey data is useful, but traffic data tells another part of the story. Adobe reported that in the first three months of 2026, traffic from AI sources to U.S. retail sites grew 393% year over year. Adobe also found that visitors from AI sources had a 12% higher engagement rate than non-AI traffic once they landed on a retail site. (Adobe for Business)

This does not mean every local business will suddenly see a huge amount of AI referral traffic. Local services often convert through phone calls, Google Business Profile actions, forms, and offline conversations. Many AI-influenced customers may never show up as "AI traffic" in analytics.

But the trend is clear: AI-assisted discovery is growing quickly. For local business owners, the important takeaway is simple: AI visibility may influence demand before it becomes easy to measure.

AI Adoption Is Becoming Mainstream

AI usage is also becoming more common overall. Microsoft's 2026 Global AI Diffusion Report estimated that 31.3% of the U.S. working-age population used generative AI in Q1 2026. (The Official Microsoft Blog)

That matters because AI search behavior will likely become more normal as people get used to asking AI tools for everyday help. Today, a customer might ask AI:

Tomorrow, they may ask:

The habit is forming. And when consumer habits change, local marketing has to adjust.

AI Is Stronger for Research Than Final Booking

Local business owners should not think of AI as a complete replacement for Google, referrals, or reviews. That would be the wrong takeaway. AI is strongest during the research and evaluation stage — it helps customers understand options before they make contact. For example, a homeowner may ask:

• "How much does tree removal cost in Massachusetts?"
• "Do I need an arborist or a tree removal company?"
• "Is stump grinding usually included?"
• "What should I ask before hiring a tree service?"
• "Which company near Lexington looks most reputable?"

After that, the customer may still go to Google Maps, read reviews, look at websites, and call for quotes. So GEO is not about replacing your existing marketing. It is about making sure AI can understand, trust, and recommend your business when customers ask these new kinds of questions.

Why This Matters More for High-Trust Local Services

AI is especially relevant for local services where customers feel risk. Examples include:

• Tree removal
• Roofing
• Pest control
• Landscaping and hardscaping
• HVAC
• Plumbing
• Electrical work
• Legal services
• Dental care
• Home renovation
• Senior care
• Veterinary services

These are not impulse purchases. Customers want confidence before they choose. Tree removal is a good example. A homeowner may not know whether a tree is dangerous, whether a permit is needed, whether the company should have workers' compensation insurance, or how much the job should cost. So they may ask AI questions like:

• "How do I choose a tree removal company?"
• "What questions should I ask before hiring a tree service?"
• "Who are the best arborist-level tree companies near Lexington?"
• "How much does large tree removal cost in Massachusetts?"
• "Do tree removal companies need insurance?"

This is why GEO matters most when customers are making expensive, risky, or trust-based decisions.

What AI Needs Before It Can Recommend a Local Business

AI tools do not choose businesses magically. They rely on available information across your website, Google Business Profile, reviews, directories, local mentions, structured data, and other online sources. If your business information is thin, inconsistent, outdated, or hard to understand, AI has less confidence in recommending you.

For example, if your website has:

• No clear service-area pages
• No FAQ section
• Inconsistent name, address, or phone number
• Weak Google Business Profile content
• Few detailed reviews
• No visible proof of insurance, licensing, or certifications
• No clear explanation of services
• No local project examples
• No structured data

Then AI may skip your business or describe it vaguely. But if a competitor has clear service pages, strong reviews, consistent business information, helpful FAQs, and specific local proof, that competitor becomes easier for AI to understand and recommend.

What Local Business Owners Should Do Now

Local businesses do not need to panic. They do not need to chase every AI trend. But they should strengthen the information signals that both humans and AI systems rely on.

1. Create Clear Service Pages

Do not rely only on your homepage. Create specific pages for your main services and service areas. For example, a tree service company might need pages like:

• Tree Removal in Lexington, MA
• Emergency Tree Removal in Lexington
• Stump Grinding in Lexington
• Tree Pruning and Trimming in Lexington
• Arborist Services in Lexington

Each page should clearly explain what service you provide, who you serve, where you serve, when a customer needs the service, what makes your company trustworthy, and how to request a quote. AI performs better when your business information is specific.

2. Use Question-Based Headings

AI tools respond well to natural-language questions because customers ask AI questions in a conversational way. Your website should answer those questions directly. Examples:

• "How Much Does Tree Removal Cost in Lexington, MA?"
• "Do I Need a Permit to Remove a Tree?"
• "When Should I Call an Arborist?"
• "Is Emergency Tree Removal Covered by Insurance?"
• "How Do I Know If a Tree Is Dangerous?"

These headings help customers, search engines, and AI tools understand your expertise.

3. Add Short Answer Blocks

Add concise answer sections near the top of important service pages. For example:

This kind of paragraph is easy for AI to summarize or cite. It is also helpful for customers who want a quick answer before reading the full page.

4. Build Strong FAQ Sections

FAQ sections are very useful for GEO because they match how people ask AI questions. A local service page should include 6–10 practical questions customers actually ask before hiring. Examples:

• "How much does this service cost?"
• "How soon can you come out?"
• "Are you licensed and insured?"
• "Do you offer emergency service?"
• "Do you serve my town?"
• "What should I do before the appointment?"
• "What makes your company different?"

Good FAQs help AI understand your business and help customers feel more confident.

5. Keep Business Information Consistent

Your name, address, phone number, business hours, and service area should be consistent across your website, Google Business Profile, Yelp, Facebook, Bing Places, Apple Maps, local directories, industry directories, and review platforms. Inconsistent information makes it harder for AI systems to know which facts are correct. For local businesses, this is a major trust signal.

6. Strengthen Reviews and Trust Signals

AI tools often summarize reputation. That means your reviews and trust signals matter. Add proof such as:

• Years in business
• Insurance information
• Licenses or certifications
• Professional credentials
• Before-and-after photos
• Local project examples
• Review highlights
• Service guarantees
• Safety process
• Awards or memberships
• Clear contact information

The goal is not just to say you are trustworthy. The goal is to give AI and customers enough evidence to believe it.

The Bottom Line

Local customers are already using AI to make purchase decisions — especially during the research and comparison stage. They may not always book directly through AI. But they are asking AI tools to explain options, compare providers, summarize reviews, and recommend trustworthy businesses.

For local business owners, this means GEO is not just a futuristic marketing idea. It is becoming part of how customers decide who to call.

The best way to prepare is simple: make your business easy to understand, easy to verify, and easy to recommend. That helps AI tools. It helps Google. It helps customers. And it helps your business show up when someone is ready to choose.

Sources

1. BrightLocal — Nearly Half of Consumers are Asking AI for Business Recommendations
   https://www.brightlocal.com/research/lcrs-ai-trust/
2. BrightLocal — Local SEO Research
   https://www.brightlocal.com/research/
3. National Retail Federation / IBM — Own the Agentic Commerce Experience: 2026 Consumer Research Study
   https://nrf.com/research/own-the-agentic-commerce-experience
4. IBM — Brands and Retailers Navigate a New Reality as AI Shapes Consumer Decisions Before Shopping Begins
   https://newsroom.ibm.com/2026-01-07-ibm-nrf-study-...
5. Adobe — AI Traffic Grows But Retail Sites Lag in AI Search Visibility
   https://business.adobe.com/blog/ai-traffic-surge-retail-sites-not-machine-readable
6. Microsoft — The State of Global AI Diffusion in 2026
   https://blogs.microsoft.com/on-the-issues/2026/05/07/the-state-of-global-ai-diffusion-in-2026/