Quick answer
ChatGPT and similar assistants recommend local businesses using a mix of map and directory data, web search results, reviews and mentions across trusted sites. To be included, keep your Google and Bing profiles complete and consistent, earn detailed reviews, publish clear service and location pages, and be mentioned on reputable local and industry sites.
Last updated: November 2026
More people now ask an AI assistant questions like “Can you recommend a reliable plumber in Bristol?” or “Which dentist near me does Invisalign?”. The reply often names two or three businesses, and customers frequently contact those first.
Nobody outside the AI companies knows the exact recipe, but the behaviour of these tools is consistent enough to draw practical conclusions. They rely heavily on data that already exists online: local listings, reviews, websites and mentions.
This guide explains how recommendations are formed, which signals seem to matter most, a step-by-step plan for UK businesses, and how to test whether you are being recommended.
In this guide
- Where AI assistants get local business information
- The signals that appear to matter most
- What assistants cannot do
- Why detailed reviews outperform generic ones
- A step-by-step plan for UK businesses
- What a recommendation actually looks like
- Create content that assistants can quote
- How to test whether you are being recommended
- Common mistakes
- Do you need to do anything special for AI?
- FAQs
Where AI assistants get local business information
When browsing or search is enabled, assistants query search engines and mapping data and then summarise the best matches. Many use Bing or Google results, while integrations with maps, review platforms and directories provide business details such as address, opening hours and ratings.
Without live search, an assistant relies on what it learned during training, which tends to favour well-known brands and widely mentioned businesses. Smaller businesses are more likely to appear when live search is on and their online information is clear and current.
The signals that appear to matter most
- Complete, consistent profiles on Google, Bing and Apple, with correct categories and services.
- Volume, recency and detail of reviews, particularly reviews that mention specific services and areas.
- Clear website pages that state what you do, where you do it and for whom.
- Mentions and links from local press, directories, associations and partner sites.
- Positive sentiment across the web, including forums and social platforms.
No single signal dominates. Businesses that are strong across several are the ones that tend to be named.
What assistants cannot do
They do not have a secret list of paying advertisers, and you cannot buy a recommendation directly. They also make mistakes, such as quoting old phone numbers or merging two similar businesses. That is why consistent details and a strong online footprint matter, since they reduce the room for error.
Treat AI visibility as an outcome of overall reputation and information quality, not a standalone project.
Why detailed reviews outperform generic ones
A review that says “Great service, five stars” gives an AI little to work with. A review that says “Dave fitted our new combi boiler in Headingley in one day, tidy and fairly priced” provides services, place and sentiment in one sentence. Encourage customers to describe what you did, gently, without scripting their words.
A step-by-step plan for UK businesses
Start with the foundations, because they feed every assistant. Claim and complete your Google Business Profile, Bing Places listing and Apple Business Connect entry. Use your exact trading name, choose accurate categories, list services and keep hours up to date.
- Make sure your website, profiles and directories use identical name, address and phone details.
- Write a clear page for each core service and each area you serve, opening with a plain summary.
- Add LocalBusiness and FAQ schema to key pages.
- Build a steady flow of detailed reviews and reply to them.
- Earn mentions from local press, associations, suppliers and community sites.
What a recommendation actually looks like
Suppose a customer asks, “Who is a good family dentist in Cardiff who offers payment plans?”. A typical assistant response lists two or three practices, describes what each offers, mentions ratings or review themes, and often links to the sources it used. The practices named usually share traits: a well-completed profile, plenty of detailed reviews mentioning family care, and a website page that explains treatments and finance options in plain language.
A practice with a vague website, a handful of reviews that say little and a different phone number on each directory is much less likely to be named, even if its clinical work is excellent. The assistant cannot verify what it cannot find, so it recommends businesses where the evidence is clear.
This is encouraging for small firms, because evidence is something you can build. A page that explains payment plans, reviews that mention the experience of families, and a consistent presence across profiles are all within your control. Treat each one as a piece of evidence that an assistant, and a human customer, can quickly check.
It also explains why updating old information matters. Assistants may quote pricing, opening hours or services from outdated pages. Reviewing your key pages and listings every quarter keeps that evidence current and prevents you losing recommendations because of stale details.
Create content that assistants can quote
Assistants favour pages that answer a question cleanly. For each service, write a short summary that states what you offer, who it is for, typical costs or ranges, and the areas covered. Follow with sections on process, timescales and common questions.
Pricing transparency helps. Many people ask assistants about cost, and a page that gives honest ranges is more likely to be used than one that says only “contact us for a quote”. If you cannot publish exact prices, explain what affects them and give a typical range.
How to test whether you are being recommended
Make a list of 15 to 20 realistic prompts customers might use, such as “best electrician in Sheffield for a rewire” or “recommended accountant for contractors in Birmingham”. Run them in ChatGPT, Gemini, Perplexity and Google AI Mode, in a fresh session, and note whether you appear, how you are described and which sources are cited.
Repeat monthly. Results vary, so look for trends, and check the details assistants quote about you. If they cite wrong information, trace it to the source and fix it. A website SEO audit or local SEO service can help close the gaps you find.
Common mistakes
- Assuming a high Google ranking guarantees AI recommendations.
- Ignoring Bing, which feeds several assistants.
- Letting contact details differ between websites and listings.
- Collecting reviews that say little beyond the star rating.
- Publishing generic location pages with no real local information.
Do you need to do anything special for AI?
Not beyond doing local SEO properly and making information easy to extract. The businesses most likely to be recommended are those that are visibly established, consistently described, well reviewed and clearly explained on their own site. The work that earns that status is the same work that helps you in ordinary search, so there is no reason to treat AI visibility as a separate, mysterious project.
Make time every quarter to review your profile, update content, request fresh reviews and test your prompts. Steady, boring consistency beats occasional bursts of activity.
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Frequently asked questions
Can I pay to be recommended by ChatGPT?
No. Organic recommendations are driven by information quality, reviews and mentions. Be careful of anyone selling guaranteed placement.
Does ChatGPT use Google Business Profile data?
AI tools draw from a mix of search results, mapping and review sources. A complete Google Business Profile helps because it is a major source of local business data.
Why does ChatGPT give wrong details about my business?
Usually because sources it relies on conflict or are out of date. Fix inconsistencies across your website, profiles and directories to reduce errors.
How often should I test AI recommendations?
Monthly is a sensible cadence. Use the same prompts each time so you can compare results.
