Why Doesn't ChatGPT Mention My Business? A Plain-English Guide to Generative Engine Optimisation

Priya Shah has run a plumbing and heating firm with her brother in Leeds for eleven years. Word of mouth and a decent Google Business Profile had always been enough. Then in early 2025 a regular customer mentioned that she'd asked ChatGPT to recommend a local emergency plumber, and Priya's firm never came up, even though a competitor two streets away, with a worse reputation, did. Priya hadn't done anything wrong. She simply hadn't realised that a new kind of search was already deciding who gets recommended, and that it doesn't work the way Google search results used to.

Generative engines like ChatGPT, Perplexity, Gemini and Google's AI Overviews decide which businesses to name by cross-checking a small set of signals: whether your core facts (name, address, phone number, opening hours, services) say the same thing everywhere they appear online; whether independent sources such as review sites, local news and directories mention you in the same terms; and whether that information is recent and easy for a crawler to extract cleanly. These systems are not ranking ten blue links. They are drafting a short, confident answer and picking a handful of businesses to name in it, so if your facts are inconsistent, thin, or only exist on one page nobody else links to, you are simply left out of the draft. Consistency and corroboration matter more than design or ad spend.

Why isn't my business in ChatGPT's answers?

ChatGPT usually leaves a business out because it cannot find enough consistent, corroborated information about it across the open web, not because of some hidden penalty. ChatGPT's search function, added when OpenAI launched ChatGPT search on 31 October 2024, pulls live results much like a search engine, then writes an answer citing a handful of sources (OpenAI, "Introducing ChatGPT search", 31 October 2024, https://openai.com/index/introducing-chatgpt-search/).

That means a business that only exists as a website and a Google Business Profile, with no reviews mentioning specific services, no local press coverage and no directory listings, gives the model very little to work with. It has nothing to triangulate. A competitor who is mentioned in a local paper, has forty detailed reviews naming specific jobs, and lists identical opening hours everywhere gives the model far more confidence to name them by name.

How does Google decide which businesses AI Overviews names?

Google's AI Overviews lean heavily on the same data that already powers the local map pack: your Business Profile, structured review signals, and pages Google's index treats as authoritative for that query. Google confirmed in October 2024 that AI Overviews had grown to more than one billion monthly users across over 100 countries (Google, "Search On 2024", 8 October 2024, https://blog.google/products/search/search-on-2024/), which means this is no longer an experimental feature sitting off to the side. It is a mainstream entry point that a huge share of local searchers now see before they see a traditional list of results.

Because AI Overviews draw on the same underlying signals as normal local search, the fix isn't a separate strategy. It is making sure your Business Profile, website, and the third-party pages that mention you (review platforms, local directories, industry associations) all agree on the same core facts, and that they are kept current. Sloppy or outdated details in any one of those places can be the reason a summary quietly names someone else.

What actually helps a small business get named

The practical work is unglamorous but specific. Keep your name, address, phone number and hours identical across your website, Google Business Profile, and every directory you appear in, since generative engines treat disagreement between sources as a reason to hedge or omit you. Encourage detailed reviews that mention specific services rather than generic five-star ratings, because specificity is what an AI model can quote or paraphrase with confidence. Get mentioned on pages you don't control, such as local news, trade bodies or supplier pages, since third-party corroboration carries more weight than anything you say about yourself. And check in on how AI engines currently describe you: ask ChatGPT, Perplexity and Gemini what they know about your business every so often, the way BrightLocal's long-running Local Consumer Review Survey has tracked how consumers research local businesses for over a decade. If an engine gets something wrong, that is almost always a fixable data problem rather than a lost cause.

Priya's fix, once she understood the problem, was straightforward: she corrected a stale address on two directories, asked recent customers to mention specific jobs in their reviews, and got a short quote into a local trade newsletter. None of it was expensive. It just required knowing that this is what generative engines are actually reading.

If you want a clearer picture of how ChatGPT, Perplexity, Gemini and Google's AI Overviews currently describe your own business, and what specifically to fix first, that is exactly what Ozvor is built to show you at ozvor.com.