How to Get More Local Customers
Through AI Search
By Lesli Rose · April 9, 2026 · 10 min read
A growing number of your potential customers are asking AI assistants for local recommendations instead of searching Google. "Best dentist in Portland." "Who should I hire for a kitchen remodel in Austin?" "Top-rated accountant near me." If AI doesn't recommend your business, those leads go to whoever it does recommend. Here are six concrete steps to make sure you're in the conversation.
Step 1: Complete Your Google Business Profile -- Every Field
Time estimate: 1-2 hours
Yes, this is a Google product. And yes, AI assistants don't pull directly from Google Maps. But completing your GBP matters for AI Visibility because it establishes consistent business data that flows into other platforms. Your GBP information feeds into directories, data aggregators, and third-party sites that AI systems do read.
Fill out every single field. Business name, category, subcategories, services offered, service area, hours (including holiday hours), business description, products, Q&A section, photos (interior, exterior, team, work examples). The more complete your profile, the more accurately your business information propagates across the web -- and the more consistent signals AI systems find when they're building recommendations.
Pro tip:
Write your business description as a clear, factual summary of what you do, who you serve, and where you're located. Not marketing copy -- a structured statement that a machine can parse. "Smith Plumbing is a licensed residential plumbing company serving the greater Portland, Oregon area since 2008. Services include emergency repairs, pipe replacement, water heater installation, and bathroom remodeling."
Step 2: Add LocalBusiness Schema to Your Website
Time estimate: 2-4 hours (or ask your web developer)
This is the single highest-impact change most local businesses can make for AI Visibility. Schema markup is structured data embedded in your website's code that tells machines exactly what your business is, where it's located, what services you offer, and how to contact you.
Without schema markup, AI has to guess what your website is about by reading your text. With schema markup, you're handing AI a structured data sheet it can parse instantly and with full confidence. The difference in AI discoverability is dramatic.
Your LocalBusiness schema should include:
›Business name and legal name
›Full address and geo coordinates
›Phone number and email
›Hours of operation
›Service type and area served
›Price range
›Aggregate rating (if applicable)
›Same-as links to your social profiles and directory listings
Step 3: Build Review Volume on Platforms AI Reads
Time estimate: Ongoing -- 15 minutes/week
AI systems build recommendations from consensus across multiple independent sources. Google Reviews matter, but they're not the only platform AI reads. You need reviews on Yelp, industry-specific platforms (Avvo for lawyers, Healthgrades for doctors, Houzz for contractors, TripAdvisor for restaurants), and the Better Business Bureau.
The pattern AI looks for is simple: if multiple independent platforms agree that your business is highly rated, the recommendation is confident. If you only have reviews on Google, the AI has one source -- and one source doesn't create consensus. Spread your review strategy across 3-5 platforms relevant to your industry.
Build a simple review request process. After every completed job or appointment, send a follow-up with direct links to 2-3 review platforms. Make it easy for satisfied customers to leave reviews where they matter most for both Google and AI discovery.
Step 4: Get Listed in Local "Best Of" Roundups
Time estimate: 2-3 hours initial outreach, then ongoing
When AI assistants recommend local businesses, they frequently cite "best of" listicles and local roundup articles as sources. "Best plumbers in Portland," "Top 10 dentists in Austin," "Most recommended contractors in Denver" -- these articles carry significant weight in AI recommendations because they represent editorial curation.
Search for "best [your service] in [your city]" and see which roundup articles rank. Reach out to those publications and ask to be included. Many local publications, blogs, and directories actively maintain these lists and welcome submissions from qualified businesses. Some are paid placements, some are editorial -- both have value for AI Visibility.
Understanding how ChatGPT chooses which local businesses to recommend makes it clear why these third-party citations matter so much. AI needs independent confirmation that your business is worth recommending.
Step 5: Create FAQ Content Answering Local Questions
Time estimate: 3-5 hours for initial content
AI recommendations are triggered by questions. Your customers ask questions like "How much does a roof replacement cost in Portland?" "What should I look for in a family dentist?" "Do I need a permit for a kitchen remodel in Travis County?" If your website answers these questions directly, AI systems have content to match against those queries.
Create a comprehensive FAQ section on your website with 15-25 questions your customers actually ask. Not generic industry FAQs -- specific, local questions that include your city, county, or region. Each answer should be 2-4 sentences, written clearly and factually. Add FAQ schema markup to every FAQ so AI can parse the questions and answers as structured data.
Think like your customer, not your marketer.
The questions that matter for AI aren't the ones you wish people would ask. They're the ones people actually ask -- on the phone, in consultations, in Google's "People Also Ask" boxes, and in AI conversations. Write answers to those real questions, and AI will match your content to real queries.
Step 6: Add llms.txt with Location Data
Time estimate: 30 minutes
llms.txt is an emerging standard -- similar to robots.txt -- that provides AI crawlers with a structured summary of your business. It sits in your website's root directory and gives AI systems a quick, machine-readable overview of who you are, what you do, and where you operate.
For a local business, your llms.txt should include your business name, physical address, service area (cities, counties, or radius), primary services, years in business, licensing information, and contact details. Keep it factual and structured -- this isn't marketing copy, it's data for machines.
Not every AI system looks for llms.txt yet, but adoption is growing. Adding it now puts you ahead of virtually every local competitor and gives AI crawlers the cleanest possible summary of your business. At 30 minutes of effort, the ROI potential is enormous.
The Compound Effect
Each of these six steps works on its own, but the real power is in the combination. When AI systems see consistent business information (GBP), structured data they can parse (schema), independent review consensus (multi-platform reviews), editorial citations (listicle presence), direct answers to relevant questions (FAQ content), and a machine-readable business summary (llms.txt) -- the recommendation becomes confident and consistent.
This is how local AI searchworks. It's not one signal that triggers a recommendation -- it's the convergence of multiple signals that gives AI the confidence to name your business specifically. The more signals you build, the more consistently AI recommends you, and the more local customers find you through this growing channel.
If you want to know exactly where your business stands right now -- which of these signals you already have and which are missing -- an AI Visibility audit will give you the full picture and a prioritized action plan.
Frequently Asked Questions
How long does it take to start showing up in AI search results?
It depends on your starting point, but most businesses can see initial improvements within 4-8 weeks of implementing structured data, building review volume, and creating FAQ content. AI systems re-crawl sources regularly, and once your business information is consistent, well-structured, and independently confirmed across multiple platforms, AI recommendations tend to follow. The full compound effect builds over 3-6 months as more signals accumulate.
Do I need a new website to show up in AI search?
No. You don't need a redesign or a new website. The changes that matter most -- adding LocalBusiness schema markup, creating FAQ content, and adding an llms.txt file -- can be implemented on any existing website. The structural improvements that help AI understand your business are additions to what you already have, not replacements for it.
Which review platforms do AI systems read?
AI systems pull from publicly accessible review platforms including Google Reviews, Yelp, industry-specific directories (Avvo for lawyers, Healthgrades for doctors, Houzz for contractors), the Better Business Bureau, and local business directories. The key is having review presence across multiple platforms, not just Google. AI systems look for consensus across independent sources -- if multiple platforms confirm you're highly rated, the AI recommendation is more confident.
What is the most important step to get AI to recommend my local business?
If you can only do one thing, add LocalBusiness schema markup to your website with complete, accurate business information. This gives AI systems structured, machine-readable data about who you are, what you do, where you're located, and how to contact you. It's the single highest-impact change because it directly addresses the most common gap -- AI systems can't confidently recommend businesses they can't clearly identify and categorize.
Run Your Visibility Report
Find out exactly which AI signals your business is missing -- and get a prioritized plan to start showing up in AI recommendations.
Run Your Visibility Report