ChatGPT for local business: be the name AI recommends nearby

How is ChatGPT for local business different from local SEO?

The map pack showed a few businesses and let the searcher choose; an assistant names a few and explains why. OpenAI's help center says ChatGPT search uses approximate location from the user's IP address, draws business listings from trusted third-party providers and can show maps. Its enterprise help page adds that location is shared with Bing and specialized data providers.

That makes your listings on other platforms, not only your website, the raw material of the answer. A wrong Sunday closing time on one directory can be the line an assistant repeats.

Websites still count, but in a supporting role. When ChatGPT's search crawler can reach your pages, they give the engine a first-party version of your hours, services and prices to check against what directories say. When directories and the site disagree, the answer may pick either one.

Which sources do AI assistants use for local recommendations?

Listings supply most of the evidence. BrightLocal's August 2026 study of 1.97 million citations across 1,355 locations in the US, UK and Australia found Google Business Profile made up 28.6% of all citations, and Yelp appeared in about 80% of ChatGPT's local answers.

ChatGPT's leading local sources in that study were Yelp, Tripadvisor, OpenTable, BBB and Angi, while Google's AI features leaned on Business Profile. The practical split follows: Business Profile for Google, a wider directory set for ChatGPT, and consistent name, address and phone details everywhere.

What is changing in Google AI Mode for local searches?

AI Mode is starting to act on the searcher's behalf, not just list options. Google's help documentation says AI Mode can call businesses to check price and availability, and businesses control this in their Business Profile settings. Restaurant bookings run through OpenTable, Resy and Tock, and Google said at I/O 2026 that booking was extending to local services.

Secondary tests suggest AI Mode can show more businesses than the classic three-business local pack. If that holds, a business ranked just outside the pack gains a chance, while an inaccurate profile becomes costlier because the AI repeats what it reads.

What does each type of local business need?

The directory mix depends on the trade. These are the starting points we use:

• Home services such as plumbing and HVAC: a complete Business Profile with correct weekend and emergency hours, Yelp, BBB and Angi profiles, and a page per service area with price guidance.
• Dentists and clinics: Business Profile, Yelp and Zocdoc where you take bookings, plus clear new-patient and insurance details on the site.
• Restaurants: OpenTable, Resy or Tock connected, Tripadvisor and Yelp current, and menus in crawlable HTML rather than images or PDFs.
• Multi-location brands: one page per location with consistent name, address and phone, and LocalBusiness schema matching each listing.
• Outside the US: Yell, Checkatrade and Trustpilot in the UK; True Local and Hipages in Australia; HomeStars in Canada; Justdial and Sulekha in India.

How should local businesses handle reviews for AI answers?

Ask every real customer, reply to every review and never buy one. BrightLocal's 2026 consumer survey found more consumers now only consider businesses with high star ratings, and assistants summarize review sentiment when they explain a recommendation.

The FTC's rule on fake reviews bans purchased and AI-generated reviews in the US, and the UK, Canada and Australia have their own review rules. A steady, honest flow of recent reviews is both the compliant route and the one that gives engines current material.

What do we do for local AI visibility, and how is it measured?

We build a prompt set per location, such as 'emergency plumber in [suburb] open Sunday', then audit every listing those answers draw on, fix the data and set up a review routine your staff can keep running.

Each month we rerun the prompts in ChatGPT, AI Mode and AI Overviews with location settings matched to each branch, recording which businesses are named and which listing was cited. Alongside that sit Business Profile calls and direction requests, GA4 referrals from chatgpt.com, and booking volume from OpenTable or your scheduler. No one can promise a recommendation; the reports show where each location stands and what changed.