How AI Assistants Recommend Businesses, and How to Check What They Say About You

“Which plumber near me is reliable and open on Sundays?” is now a question people ask an assistant, not just a search engine. Industry surveys in 2026 reported a steep rise in people using AI tools to find local businesses. The assistant gives one short answer, often naming two or three businesses — if you are not one of them, you are invisible. This guide explains how AI assistants recommend businesses and how to influence it honestly. It is part of our online reputation management guide.

How AI assistants choose businesses

Each assistant works differently, but the pattern is similar. When asked for a recommendation, they search the web or their own index, read the most relevant sources, and summarise. Signals that matter:

• Relevance: does the business clearly offer what was asked, in that area?
• Reputation: ratings and review content on Google and third-party review sites.
• Third-party mentions: “best of” lists, local news, industry directories and discussions — Reddit and AI answers are closely linked, as forum threads are frequently cited.
• Consistency: the same name, address, phone and services everywhere — NAP consistency and wider entity consistency.
• Clarity on your own site: plain statements of services, locations, prices and proof.

Notes by assistant

• How does ChatGPT recommend businesses? With web search enabled, ChatGPT pulls results from search providers and cites sources; ChatGPT local business recommendations often reflect listings, reviews and articles that rank well. To get recommended by ChatGPT, be well represented in those sources.
• Gemini business recommendations and Google AI Mode local results draw heavily on Google’s own data, including Business Profiles and Google reviews.
• Perplexity local search shows its sources openly, which makes it a useful tool for seeing which sites influence answers in your category.
• Some assistants and maps apps rely on other listing data, so claim Bing Places and Apple Business Connect as well as Google.

How to check what AI says about your business

Run a simple AI brand audit every few months:

1. Write 10–20 questions your customers ask: “best [service] in [city]”, “is [your business] any good?”, “[your business] vs [competitor]”.
2. Ask them in ChatGPT, Gemini, Perplexity and Google AI Mode.
3. Record whether you are mentioned, how you are described, and which sources are cited.
4. Note brand sentiment in AI answers and any errors.

This answers “what does AI say about my business?” and shows how to check what ChatGPT says about my brand. Track AI brand mentions and AI citations over time — see our AI visibility tracking guide.

Fixing wrong information in AI answers

Wrong information in AI answers — old addresses, closed services, confused competitors — usually comes from an outdated or inconsistent source. AI hallucinations about brands are also more likely when little reliable information exists. To correct ChatGPT information and other assistants:

• Trace the claim to the cited source and fix it there (directory, review site, old article).
• Update your website with clear, current facts in plain text.
• Use the feedback options inside each assistant to report errors.
• Publish accurate information in places assistants already cite.

How to improve your chances of being recommended

1. Claim and complete Google, Bing and Apple listings with identical details.
2. Earn steady reviews on Google and the review sites your industry uses.
3. Get listed in reputable local and industry directories and “best of” lists.
4. Add structured data for AI and search — Organization or LocalBusiness schema with services and areas served.
5. Write service and location pages that answer the exact questions customers ask.

This is what AI search for local businesses rewards — and it overlaps almost entirely with good local SEO. See our local SEO playbook.

Measuring LLM visibility

LLM visibility — how often and how well large language models mention you — is measured with a fixed set of prompts tracked over time, plus referral traffic from AI tools in analytics. An AI visibility audit gives you a baseline; AI reputation management services then work on the sources behind the answers. See our AI visibility audit and AI reputation management.

Voice assistants, Copilot and shopping

• Voice assistant recommendations: Siri recommendations draw heavily on Apple Maps data (managed through Apple Business Connect), while Alexa local search relies on its partners’ listings. Keep those listings complete.
• Copilot business recommendations are built on Bing data, so Bing Places matters.
• ChatGPT shopping recommendations compare products using merchant data, reviews and articles — see our ecommerce schema guide.
• In Google, AI Overviews local pack results often appear alongside AI summaries, so Business Profile strength still counts.

Knowledge graph and entity signals

Assistants understand businesses as entities. A consistent presence across your website, listings and reputable directories helps them connect the facts. Larger brands may also appear in Google’s knowledge graph and in open databases such as Wikidata — only where they genuinely meet those sites’ notability rules. See our entity-based SEO definition.

Local AI SEO in practice

Local AI SEO — or generative engine optimization for local business — is mostly classic local SEO done thoroughly: accurate listings, reviews, local content and mentions. There is no published list of AI search ranking factors; the signals above are what consistently appear in the sources AI answer engines cite. An AI reputation audit using AI mentions tracking tools shows where you stand — see our local AI search service and GEO playbook.

AI recommendations: frequently asked questions