You can rank on page one of Google and still not exist on ChatGPT. The two systems use different signals, pull from different sources, and reward different kinds of optimization. This is not a future problem — it is happening right now. Consumers are increasingly bypassing search results entirely and trusting AI tools to answer their who-should-I-call questions directly.
This guide covers exactly what to do, in what order, to get your local business cited by ChatGPT, Perplexity AI, and Google AI Overviews. Each step is concrete, actionable, and produces results within 30 to 90 days.
Step 1: Add LocalBusiness Schema to Your Website
Schema.org LocalBusiness markup is machine-readable structured data that tells AI systems exactly what your business is. Without it, AI tools are guessing. With it, they can state your name, address, phone, hours, and services with confidence. This is the single highest-leverage change you can make for AI visibility.
Your LocalBusiness schema should include:
- Business name (exactly as it appears everywhere else)
- Business type (e.g., HVACBusiness, Dentist, RoofingContractor)
- Full address (street, city, state, ZIP)
- Phone number in E.164 format (+1XXXXXXXXXX)
- Business hours (openingHoursSpecification)
- Geographic service area (areaServed)
- Price range (priceRange, e.g., "$$")
- URL and logo
Place this JSON-LD block in the head of your homepage and any key service pages. Validate it using Google Rich Results Test before publishing. Errors in the schema reduce AI confidence rather than building it.
Step 2: Publish FAQ Content That Mirrors Real Questions
AI tools are answer machines. They look for content that directly answers the questions people ask. Generic About Us paragraphs do nothing for AI citation. FAQ sections written in natural language — the way a customer would actually phrase the question — do everything.
For each service your business offers, write 5 to 10 FAQ questions and direct answers. Use the exact language your customers use when they call or text. "How much does AC repair cost in Houston?" performs far better than "We offer competitive pricing for all HVAC services." Pair the visible FAQ content with FAQPage schema markup so AI crawlers can extract the structured question-answer pairs directly.
High-performing FAQ topics for local service businesses:
- "How much does [service] cost in [city]?"
- "How long does [service] take?"
- "Do you offer emergency [service] in [city]?"
- "Are you licensed and insured in [state]?"
- "What areas do you serve near [city]?"
- "What is included in a [service] estimate?"
Step 3: Build and Verify Your Core Citations
AI models are trained on datasets that heavily include the major business directories. When your business appears consistently across these sources, the AI treats you as a verified, established entity. When you are absent or inconsistent, the AI uncertainty rises and your citation probability drops.
Focus first on the highest-authority sources in order of impact:
- Google Business Profile — The highest-weight signal for local AI queries. Fully complete every field: hours, services, photos, business description, Q&A section.
- Yelp — Heavily indexed by all major AI training datasets. Claim and complete your listing.
- Better Business Bureau (BBB) — High trust weight in AI training data, especially for service businesses.
- Bing Places — Microsoft Copilot pulls heavily from Bing local index.
- Apple Maps — Feeds Siri and Apple AI features, increasingly important.
- Industry-specific directories — Angi and HomeAdvisor for contractors; Zocdoc and Healthgrades for healthcare; OpenTable for restaurants.
Step 4: Audit and Standardize Your NAP Data
NAP — Name, Address, Phone — is the foundational identity signal that AI tools use to match business data across sources. A single inconsistency introduces uncertainty. Uncertain AI tools do not confidently cite businesses.
Run your business through a NAP audit tool or search manually for your business name across your top 10 directory listings. Create a master record — exact business name, exact address format, exact phone number — and update every listing to match it precisely. Any future change requires updating all sources simultaneously.
Step 5: Create Your llms.txt File
A llms.txt file is a plain-text document placed at yourdomain.com/llms.txt. It tells AI language model crawlers — including Perplexity's crawler — the key facts about your business in a structured, machine-readable format. Think of it as an elevator pitch written for AI systems rather than humans.
A basic llms.txt for a local HVAC company might include:
- Business name and type
- Primary service categories
- Geographic service area (city, metro, ZIP codes served)
- Years in business and key credentials (licenses, certifications)
- Contact information
- A brief description of what makes the business different
The file format is simple Markdown. It does not require a developer to implement. Once published, submit your sitemap to Perplexity's index via their publisher portal and verify your site in Google Search Console to ensure your pages are being crawled.
The 30-Day Implementation Checklist
- Week 1: Add LocalBusiness schema to homepage and top 3 service pages. Validate with Rich Results Test.
- Weeks 1-2: Publish FAQ content for top 3 services. Add FAQPage schema to each FAQ page.
- Week 2: Claim and fully complete Google Business Profile, Yelp, BBB, and Bing Places.
- Week 3: Conduct NAP audit. Create master NAP record. Update all directory listings to match.
- Week 4: Create and publish llms.txt. Submit to Perplexity publisher portal and Google Search Console.
After 30 days, test again: ask ChatGPT and Perplexity the questions your customers would ask. For most local businesses with no prior AEO optimization, the improvement is substantial within 60 to 90 days of full implementation.
Frequently Asked Questions
Why isn't my business showing up on ChatGPT?
The most common reasons are missing LocalBusiness schema, no FAQ content, sparse or inconsistent citations, and inconsistent NAP data. AI tools cannot confidently cite a business when these signals are absent or contradictory.
What is the fastest way to get cited by ChatGPT?
Adding LocalBusiness schema markup and publishing FAQ content are the two fastest wins. Both can influence AI citations within 2 to 4 weeks. Pair these with an updated Google Business Profile and consistent NAP for maximum impact.
Does Google Business Profile affect ChatGPT results?
Yes. ChatGPT and Perplexity both pull from Google Business Profile data when answering local queries. An incomplete or outdated GBP listing weakens your AI citation confidence.
What is llms.txt and do I need it?
llms.txt is a plain-text file at the root of your domain that tells AI language model crawlers how to understand your business. Perplexity and other AI crawlers are beginning to use it. Adding it is a low-effort, high-signal move for forward-looking businesses.
How many citations do I need?
Quality matters more than quantity. Consistent presence on 6 to 10 authoritative directories — Google Business Profile, Yelp, BBB, Bing Places, Apple Maps, and 2 to 3 industry-specific directories — outperforms 50 low-quality listings with inconsistent NAP data.
Can a small local business compete with large chains on ChatGPT?
Yes. AI tools cite based on relevance, proximity, and data confidence — not ad spend. A small contractor with excellent LocalBusiness schema, strong FAQ content, and consistent NAP data will regularly outperform larger competitors that have not optimized these signals.
How do I know if my AEO is working?
Test directly: ask ChatGPT and Perplexity questions a customer would ask about your service in your city. Track whether your business appears in the answers over time.
"Every local business should spend 30 days on AEO before spending another dollar on Google Ads. The AI visibility window is open right now — and most of your competitors have not walked through it yet."
- Diego Medina F, Founder of MerchandisePROS