Tangible Digital

How to rank your local business locations in ChatGPT

The way people find local businesses is changing fast. Instead of scrolling through pages of search results, more people are asking AI assistants like ChatGPT, Perplexity, and Google’s AI Overviews to recommend a plumber, dentist, or accountant near them.

And here’s the thing: AI doesn’t give you a list of 10 ranked results. It gives you a recommendation, often just one or two businesses that it thinks best match what you need.

Key Takeaways

  • Don’t skip traditional SEO – We found that AI models like ChatGPT pull heavily from traditional search results through a process called query fan-out, so ranking well in Google is still your foundation for AI visibility.
  • Your business needs to be everywhere, associated with what you do – AI predicts recommendations by connecting your business name with your services across the web, making widespread mentions in directories and reviews more valuable than ever.
  • Detailed information is everything – We found that AI answers complex, specific queries by extracting details directly from your website, so comprehensive content about pricing, hours, services, and credentials determines whether you get recommended.

From Rankings to Recommendations

Here’s something you need to understand right from the start: when someone asks ChatGPT to recommend a local dentist, accountant, or plumber, they’re not getting a traditional ranked list of search results. They’re getting a recommendation, usually just one or two businesses that the AI thinks best match what they need.

You can’t “rank first” in AI search. Your goal is to become the business that AI models confidently recommend when someone describes their problem.

This is a fundamental shift, and it changes everything about how you need to approach local visibility.

1. Traditional Local SEO Isn’t Dead, It’s Your Foundation

You might think that with AI taking over search, all those traditional SEO tactics don’t matter anymore. Here’s the thing: they absolutely still do.

We found that AI models like ChatGPT don’t have a magical database of every local business. Instead, they use something called query fan-out. Here’s how it works: when you ask ChatGPT for a recommendation, it fires off multiple search queries to traditional search engines like Google and Bing in the background, pulls in those results, and then synthesises an answer based on what it finds.

In simple terms, If you’re not showing up in traditional search, you won’t show up in AI search.

Your starting point needs to be rock-solid local SEO fundamentals:

  • Optimised website with clear location and service pages
  • Proper schema markup
  • Local citations across relevant directories
  • Strong backlink profile from local sources

Skip these basics and you’re invisible to AI, no matter what else you do.

2. Your Google Business Profile Is Your Secret Weapon

If traditional SEO is your foundation, your Google Business Profile is the superstructure you’re building on top of it.

We found that Google Business Profiles show up constantly in AI recommendations. Why? Because they’re one of the richest, most trusted sources of structured local business information on the internet. When ChatGPT needs to verify your opening hours, services, or location, it’s often pulling that straight from your GBP.

  • Keep your profile completely filled out, every section matters
  • Update your business hours regularly (especially for holidays and special circumstances)
  • Choose the most specific categories possible
  • Add all your services with descriptions
  • Post regular updates and photos

Your GBP isn’t just for Google Maps anymore. It’s feeding AI models information about your business.

3. Get Your Business Mentioned Everywhere That Matters

Here’s where things get interesting. We found that your reputation across the web is now more important than your website alone.

AI models build their understanding of your business from multiple sources. When your business name appears alongside your services on reputable directories, review sites, and local platforms, you’re training the AI to associate you with what you do.

Focus on third-party mentions in:

  • Industry-specific directories (not just general ones like Yelp)
  • Local business associations and chambers of commerce
  • Relevant niche platforms (for vets: PetMD, Rover; for clinics: Healthgrades, Zocdoc)
  • Local news sites and community websites

The goal isn’t just to be listed, it’s to have your business name appear in the same context as your services as often as possible across trusted sources.

4. Understanding How AI “Thinks” About Your Business

This is crucial: AI models don’t understand your business the way humans do. They work by predicting what word or phrase should come next based on patterns they’ve learnt.

If AI models have seen “Manchester Veterinary Clinic” mentioned near the words “emergency rabbit care” hundreds of times across the internet, they’ll associate your business with that service. If those words never appear together anywhere online, the AI has no way to connect them.

  • Your business name needs to appear close to your services in as many places as possible
  • Context matters more than keywords
  • The more sources that mention your business doing specific things, the stronger the association

This is why being present across multiple directories, review platforms, and content sources is so critical. Each mention is a training signal.

5. Keep Creating Content (Yes, Even Blog Posts)

We’ve all seen the data: blogs drive less traffic than they used to. But here’s what we found – blogs serve a completely different purpose now.

When you publish detailed, topical content about your services and expertise, you’re not just trying to rank for keywords. You’re feeding AI models information about what you know and what you do.

Someone might ask ChatGPT: “What should I expect during a root canal?” If your dental practice has a comprehensive blog post about root canal procedures, that content could be part of the answer.

Your content strategy should:

  • Answer specific questions your customers actually ask
  • Go deep on procedures, services, and situations
  • Include practical details (what to expect, how long things take, what it costs)
  • Focus on demonstrating expertise, not ranking for keywords

You’re building a knowledge base that AI can draw from.

6. Reviews Are the New Currency, Especially Detailed Ones

If there’s one thing you take away from this article, let it be this: reviews have become absolutely critical for AI recommendations.

We found that ChatGPT frequently pulls information directly from reviews when making recommendations, and it makes sense. Reviews contain real experiences described in natural language, exactly the kind of detailed, contextual information AI models excel at processing.

Here’s what makes a review valuable for AI visibility:

Detail matters more just as much as rating. A five-star review that says “Great service!” tells AI nothing. A four-star review that says “They diagnosed my dog’s skin condition quickly, explained the treatment plan clearly, and followed up three times to check on her recovery” tells AI that you’re competent, communicative, and thorough with dermatology cases.

Recency is everything. AI models favour current information. A flood of detailed reviews from 2019 matters less than consistent recent reviews. Encourage customers to leave reviews regularly.

Diversity of platforms matters. Don’t just focus on Google reviews. Get reviews on:

  • Industry-specific platforms
  • Facebook
  • Trustpilot
  • Yelp
  • Your own website (with schema markup)
  • Niche directories relevant to your field

AI pulls information from multiple sources, so make sure your online presence is well-rounded.

What to ask for: Instead of just asking for a review, give your customers specific prompts. “Could you mention which service you received and what you found most helpful?” This generates the detailed, service-specific content that AI models actually use.

7. Demonstrate Your Expertise and Credentials

Google has been pushing E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) for years, and AI models are even more sensitive to these signals.

We found that AI is more likely to recommend businesses where it can verify credentials, qualifications, and expertise, especially for fields like healthcare, legal services, and financial advice.

Here’s what this looks like in practice:

If you run a medical clinic, every practitioner should have their own detailed “Meet the Team” page that includes:

  • Full qualifications and where they studied
  • Professional memberships and certifications
  • Years of experience
  • Specialisations and areas of interest
  • Even a personal background that builds trust

Example: Instead of: “Dr Sarah Johnson – General Practitioner”

Do this: “Dr Sarah Johnson graduated from the University of Manchester School of Medicine in 2012 and completed her GP training in 2016. She’s a member of the Royal College of General Practitioners and has specialised training in women’s health and chronic disease management. She’s particularly interested in preventative care and has published research on diabetes management in primary care settings.”

This level of detail gives AI models concrete information to work with when someone asks for a doctor with specific expertise.

Don’t forgot other E.E.A.T features:

Experience

AI models increasingly surface brands or content that demonstrate real-world experience . Key features that help:

  • First-person content : “Our team tested…”, “We’ve helped over 500 patients…”, “I’ve used this treatment for 10 years.”
  • Original imagery & media : Real-world photos, authentic client results, or videos (vs. stock) that show the brand’s work.
  • Case studies and testimonials : Real outcomes are strong trust signals for both Google and AI summarisation models.
  • Reviews with detail : Structured, text-rich reviews that describe experience in context (“KSL Clinic restored my hair after alopecia”) help LLMs connect brand to topic entities.
  • Behind-the-scenes/process documentation : Pages showing methods, testing, or human input.

Expertise

ChatGPT, Perplexity, and Gemini favour content that shows qualified, verifiable expertise . Features to implement:

  • Named authors with credentials (Dr, MRICS, Chartered Engineer, etc.) and linked author bios with schema.
  • Citations to credible sources (scientific studies, standards, regulations).
  • Editorial review notes (“Medically reviewed by…” or “Legally verified by…”).
  • Topic-specific FAQs that show deep understanding.
  • Schema markup for Person, Author, and Medical/LegalReview where applicable.
  • Expert quotes and insights embedded in content, not generic advice.

Authoritativeness

AI models build entity graphs, understanding who or what is most trusted on a subject. Ways to boost authority signals:

  • Brand mentions and backlinks from trusted sites (news, gov, edu, recognised directories).
  • Consistent entity naming across web and structured data (same org name, logo, description).
  • About and Contact pages that show legitimacy and scale (real offices, phone numbers, team photos).
  • Wikipedia, Crunchbase, LinkedIn, or industry directory profiles, all surfaces AI models cross-reference.
  • Topical depth : Multiple pages covering subtopics in the same domain (e.g. for a clinic: hair transplant, PRP, beard, eyebrow).
  • Data-rich content, tables, stats, comparison charts. That AIs can cite.

Trustworthiness

The most critical factor for inclusion in AI results, AIs avoid low-trust sources. Key trust features:

  • Transparent organisation info (registered address, leadership names, privacy policy, cookies).
  • Secure domain (HTTPS), visible brand identity, and real contact channels.
  • Third-party accreditations or certifications (NSI Gold, GMC, ISO, SafeContractor, etc.).
  • User reviews and responses (especially Google Business Profile reviews with owner replies).
  • Up-to-date content with visible timestamps and last-reviewed dates.
  • Trust badges, medical or compliance disclaimers, and safety assurances.
  • GDPR compliance and clear data policies, signals safety for users.

8. Comprehensive Information Wins Complex Queries

Here’s where most local businesses fall short. Your location pages might cover the basics, but AI search queries are far more specific and complex than traditional search queries.

Someone doesn’t just search “vet Manchester” anymore. They ask: “Can you recommend a vet in Manchester that offers emergency treatment for rabbits on a Saturday and compare prices?”

To answer that query, AI needs to extract:

  • Your location
  • Your emergency services
  • Your exotic pet capabilities (specifically rabbits)
  • Your Saturday opening hours
  • Your pricing information

If any of that information isn’t on your website, you won’t get recommended, even if you actually offer all those services.

What you need on your website:

Detailed service pages: Don’t just list “Emergency Care.” Explain what constitutes an emergency, what species you treat, how the process works, and what to expect.

Comprehensive pricing: We found that pricing transparency is increasingly important. Even price ranges help (“Emergency consultation: £75-£150 depending on complexity”).

Clear opening hours: Include regular hours, emergency hours, holiday schedules. Make it obvious and easy to find.

Specific capabilities: If you treat exotic pets, list them specifically. If you have specialised equipment, mention it. If you have board-certified specialists, say so.

FAQ sections: These are gold for AI models because they mirror how people actually ask questions.

9. Structure Your Information for AI Consumption

AI models are good at understanding natural language, but they’re even better when information is clearly structured.

Use schema markup: This structured data helps AI understand exactly what information means. LocalBusiness schema, Service schema, FAQPage schema, implement them all.

Create clear hierarchies: Use proper heading structures (H1, H2, H3) to organise information logically.

Be explicit: Don’t assume AI will infer things. If you’re open on Saturdays, say “Open Saturdays 9am-5pm,” not “Weekend availability.”

Update regularly: We found that AI models favour recently updated content. Regular updates signal that your information is current and reliable.

Sound familiar? It’s mostly just ‘good SEO’

Getting recommended by AI search isn’t about gaming an algorithm, it’s about being genuinely comprehensive, visible, and credible across the internet.

The businesses that will win in this new landscape are those that:

  • Maintain strong traditional SEO foundations
  • Appear consistently across relevant platforms
  • Earn detailed, recent reviews regularly
  • Publish in-depth content demonstrating expertise
  • Provide comprehensive information about their services
  • Make their credentials and qualifications visible

Start with the basics. Fix your Google Business Profile. Get listed in relevant directories. Encourage detailed reviews. Then work your way through the more advanced strategies.

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