TL;DR: Local service businesses get cited by AI when their Google Business Profile is complete, their schema is clean, their reviews are detailed, and their service pages answer real customer questions directly.
Open ChatGPT right now and type: "Who's the best plumber in [your city]?" If your business doesn't appear, you've just found your biggest visibility problem - and it has nothing to do with your Google Ads or your website's load speed.
AI chatbots are no longer a novelty. Between April 2024 and March 2025, the ten most-used AI chatbots recorded 55.2 billion visits, an 80.92% year-on-year increase. ChatGPT alone hit 150 million weekly active users. People are now asking conversational questions like "Which electrician in Manchester handles emergency callouts?" and trusting the answer they get back.
The critical difference from traditional search: AI tools give 3 to 5 recommendations, not ten pages of results. If your business isn't in that shortlist, you simply don't exist to that customer.
The good news: getting cited by AI is not reserved for big brands with big budgets. The businesses winning right now are the ones that have made themselves easy for AI to understand, trust, and recommend.
Key takeaway: AI citation is the new local SEO. The same signals that made you rank in Google Maps now determine whether ChatGPT, Perplexity, and Google AI Overviews put your name in front of customers.
Why AI Cites Some Businesses and Not Others
AI systems are not randomly selecting businesses. They are synthesising information from multiple sources across the web and making a confidence judgement: "Do I have enough consistent, credible evidence to recommend this business?"
Research analysing hundreds of AI responses across multiple verticals found clear patterns in which businesses get cited:
| Signal | Impact on Citation Rate |
|---|---|
| Mentioned in 5+ credible publications | 8x more likely to be cited |
| Content updated within the last 12 months | 4x more likely to be cited |
| Well-organised site with clear service descriptions | 3x more likely to be cited |
| Strong reviews with documented case studies | Dominant factor in competitive categories |
The underlying logic is straightforward. AI models are trained to be helpful and accurate. When a user asks for a recommendation, the AI picks businesses it can describe with confidence.
This is fundamentally different from traditional SEO. Google ranks pages. AI recommends businesses. The criteria overlap, but they are not identical.
Understanding this distinction is the foundation for everything that follows. (For a deeper look at how Answer Engine Optimisation works, see our guide to AEO.)
Step 1: Make Your Google Business Profile AI-Ready
Your Google Business Profile (GBP) is the single most important data source for AI recommendations about local businesses. ChatGPT, Gemini, Google AI Overviews, and voice assistants all draw heavily from it.
What "AI-ready" actually means for your GBP
- Every field completed: business category, services offered, service area, attributes (e.g. "family-run", "24-hour emergency service", "free quotes")
- Photos updated regularly: AI systems weight freshness
- Hours accurate and current: including holiday hours and special availability
- Q&A section populated: add and answer your own questions using the language customers actually use
- Review responses written in full sentences: mention the service type and location naturally
The freshness signal matters more than most businesses realise. AI models treat recently updated information as more reliable. A GBP that hasn't changed in 18 months is a liability, not an asset.
Google AI Overviews now appear in more than 40% of local searches, and that figure is growing.
Step 2: Add LocalBusiness Schema Markup to Your Website
Google's LocalBusiness schema is the standard format. At minimum, your schema should include:
- Business name (exactly as it appears on your GBP)
- Address with full PostalAddress markup
- Telephone including country code
- Opening hours via
openingHoursSpecification - Service area using
areaServed - Business type using the most specific subtype available
- Aggregate rating pulled from your review data
sameAslinks pointing to your GBP, Facebook, Yell, and Checkatrade profiles
Why the sameAs property matters
The sameAs field tells AI systems that your website, your GBP, your Yell listing, and your social profiles are all the same entity. This cross-referencing dramatically increases the AI's confidence when recommending you.
Key takeaway: AI systems build a confidence score for every business they might recommend. Schema markup is how you feed that scoring system directly.
Use Google's Structured Data Markup Helper or a free generator, then validate with Google's Rich Results Test.
Step 3: Build Reviews That AI Can Actually Use
AI tools extract specific signals from review text. A review that says "great service" contributes almost nothing. A review that says "Dave fixed our boiler on a Sunday evening within two hours of calling, and the price was exactly what he quoted" is rich with signals.
How to generate review content that AI can extract
When following up after a job, try asking:
- "Could you mention what the job was and how quickly we turned it up?"
- "If you're happy to leave a review, it really helps if you mention the specific service we did for you."
Beyond Google: For UK trade businesses, Checkatrade and Trustpilot carry meaningful weight. Dentists and healthcare providers benefit from NHS and CQC profile reviews.
Step 4: Write Service Pages That Answer Questions Directly
The page structure that gets cited
- Clear service name in the H1 (e.g. "Emergency Boiler Repair in Leeds")
- A direct answer to the most common question about that service
- Specific details: response time, pricing approach, geographic coverage, qualifications
- An FAQ section with 4-6 questions written in natural language
One practical test: paste your service page URL into ChatGPT and ask it to describe what your business does. If the description is vague or wrong, rewrite it until the AI can describe your services accurately.
For a deeper look at how to structure content for AI answer engines, our guide to AEO covers the technical and content side in full.
The Businesses That Get Recommended Are the Ones That Made It Easy
AI tools do not have opinions. They make probability judgements based on available evidence. Every step in this guide is about increasing the weight of evidence in your favour.
The businesses getting cited by ChatGPT and Perplexity today are not the biggest in their area. They are the ones that made themselves the easiest to understand, trust, and recommend.
Start with your GBP. Get that right first. Then work through schema, reviews, and content.
If you want to understand how this fits into a broader visibility strategy, DomiSearch's AEO service is built specifically for businesses navigating the shift from traditional search to AI-driven discovery.
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