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This article is published by AI Optimisation, a New Zealand–based consultancy specialising in AI Search Optimisation and AI Visibility.
AI Optimisation was founded by Elaine Subritzky, creator of the AI Visibility Engine™ framework.
Learn more about the framework here: https://www.aioptimisation.co.nz/ai-visibility-engine

What “AI Mentions” Actually Are (and Why Rankings Alone Don’t Create Them)

Writer: Elaine Subritzky
Elaine Subritzky
Jan 30
9 min read

Updated: Oct 7



Visual showing an AI search system selecting and naming brand entities inside a generated answer, illustrating modern AI search visibility.

What Is an AI Mention in AI Search?

An AI Mention is when a system like ChatGPT, Gemini, Perplexity or Google AI Overviews names your brand, product or expertise directly inside a generated answer, not as a blue link, and not necessarily as a citation, but woven into the response itself as a relevant authority or trusted recommendation.


You will also see them called AI brand mentions, same thing, longer name.


The phrase does get used loosely elsewhere too, it can mean tagging an AI assistant in a chat tool, or how often people are talking about AI in general. In AI search it means one thing: your business, named in the answer someone is reading.


For years, visibility in search meant ranking on page one in Google, AI search hasn't retired that, and your rankings still matter, but ranking has stopped being the whole picture. Traditional search sorts pages and lets the user choose whereas AI search reads sources, interprets them, and writes a direct answer. Being visible used to mean showing up in the list, now it means being named in the answer itself.


An AI Mention Is Your Brand Named Inside an AI-Generated Answer

Say someone asks ChatGPT, "Who installs heat pumps in Hamilton?" and the answer reads: "Options include Company A, Company B and Company C." Each of those three businesses has just received an AI mention.


Nobody clicked anything, nobody saw a ranking position. The businesses were simply named, in a sentence, as part of the answer. That's it, that's an AI mention.


Where AI Mentions Appear: ChatGPT, Gemini, Perplexity and Google AI Overviews

Mentions show up anywhere an AI system writes an answer rather than listing links: ChatGPT, Gemini, Perplexity, Claude, Microsoft Copilot, and Google's AI Overviews and AI Mode.


Another note worth making is, the platforms do not behave the same way. Perplexity usually shows its sources alongside the answer in the links tab. ChatGPT frequently names brands with no source shown at all (although you can view sources if it has this available for this answer by clicking the 3 dots at the bottom of the answer). Google's AI features sit on top of the search results you already know.


A business can be named confidently on one platform and be absent from another, which is why Google and ChatGPT often show different results for the same question.


Why an AI Mention Can Happen Without a Link or a Click

In traditional search, visibility and traffic were tightly linked, no click pretty much meant no visibility.

AI search breaks that user journey. A user asks a question, gets an answer on the screen, and the research can end right there. Your brand can still be named inside that answer, and it builds brand familiarity without a single site visit.


Example: Someone researches project management tools, ChatGPT names your brand alongside two competitors, and they never click through. Two weeks later a colleague asks for a recommendation, and your name comes to mind first because it was in the answer they read.


Traffic still matters, websites remain essential but in AI search, brand visibility increasingly happens before the click, or entirely without it.


AI Mentions vs AI Citations vs AI Recommendations

These three terms get used interchangeably and they shouldn't be. They are different signals, and they don't always happen together.


Term

What it means

What the AI is doing

AI Mention

Your brand is named in the answer

Selecting your brand as a relevant entity

AI Citation

Your page or source is referenced

Attributing information to your content

AI Recommendation

Your brand is suggested as the option

Evaluating you as a trusted solution

A Mention Names the Brand

Getting mentioned is the starting point, it means the AI knows your business exists, thinks you belong in this answer, and has said your name but that's all. There's no link attached, and it isn't saying you're the best choice, it's just saying you're one of the options. You're in the conversation, which is more than a lot of businesses can say.


A Citation Links the Source

A citation is about your content, not your name. The AI has used one of your pages to build its answer and given you credit for it, usually with a link or a small source tag beside the answer. That link is the only way a reader can click through to you. It's also how you find out which of your pages is actually doing the work.


A Recommendation Puts the Brand Forward as the Answer

A recommendation goes one step further and this is the gold we mine for when optimising for appearing in AI answers. The AI isn't just listing you, it's suggesting you! "For small retail businesses, X is a strong fit because…" This is the one closest to a buying decision, and it's the hardest to earn, because it depends on trust that builds up over time. That build-up is what we call recommendation reinforcement.


Mentioned Without Being Cited, Cited Without Being Mentioned

  • You can be mentioned without being cited: your brand is named, but no source link is shown.

  • You can be cited without being mentioned: your content gets used as background, but your brand name never appears in the answer text.


The second one stings more than it sounds. Your page can supply the facts for an answer that then names a competitor. Slightly unfair? Yes. Common? Also yes.


So mentions are their own thing, they don't depend on where you rank, and they happen right there in the answer.


What Makes One AI Mention Worth More Than Another

Counting mentions is a start but it is not the finish. Two businesses can each be named once in the same answer and walk away with very different results.


Sentiment: Recommended, Listed or Criticised

A mention can be positive ("recommended providers include…"), neutral ("the company offers…") or negative ("customers have raised concerns about…"). All three count as a mention but only one of them helps.


So when you record a mention, record how you were described. Being named as the specialist for a particular problem is worth far more than appearing in a list of five with no comment attached.


Position: Where the Brand Appears in the Answer

Being named first is a different result from being named fourth, or only appearing after the user asks a follow-up question (second turn).

Don't read too much into where you land in one answer, you need to ask the same question again tomorrow and the order can change. What matters is where you tend to show up across lots of answers. If you're named first most of the time, that tells you something vs if you were first once.


Unprompted Mentions vs Mentions in Branded Questions

If someone asks "What does [your business] do?" and the AI names you, that proves very little.... Your name was in the question!

The mentions that matter come from questions where nobody named you: "best physio in South Auckland for sports injuries", "who can help with commercial leases in Wellington". Being named there means the AI system connected you to the need without being prompted.


Branded questions test whether AI describes you accurately and unprompted questions test whether you get found at all. They are different problems, so measure them separately.


Why Rankings Alone Don't Create AI Mentions

You've probably felt the disconnect already: ranking in position one while a competitor gets named in ChatGPT's answer instead. The reason is not that ranking stopped working, it is that ranking and mentions are two different jobs.


Rankings Sort Pages, AI Answers Select Brands

Google's rankings sort pages, mostly by keywords and links. AI is doing a different job, it picks brands, and it picks the ones it can understand clearly, because several sources describe them the same way. So one is putting web pages in order and the other is deciding which businesses to name.


An AI system retrieves sources, works out what each one says, selects the brands and facts that best answer the question, and only then writes the response. Your page can be retrieved as background evidence and your brand still left out of the final answer, while another company with clearer positioning gets named from a lower-ranking page.



Ranking still earns its keep, it is often what gets you retrieved in the first place, which is why ranking number one no longer guarantees visibility but still helps. Ranking gets you into the pile but it does not get you named.


Entity Clarity and Consistent Positioning

Keywords tell AI what your page is about. Entity clarity tells AI who you are.

"We help businesses grow" tells an AI system almost nothing. "A New Zealand SEO agency specialising in local search for retail businesses" gives it a category, a geography and a specialisation it can act on.


Then say it the same way everywhere. A homepage calling you a "creative agency", a LinkedIn page calling you a "brand strategy consultancy" and a directory listing you as a "graphic design studio" are each individually accurate .... and collectively confusing. AI systems don't resolve that ambiguity in your favour, they name a brand with a cleaner signal instead.


Corroboration Across Independent Sources

One source claiming you're "New Zealand's leading HR software for small businesses" is a claim but three independent sources saying it is corroboration.


AI systems treat repeated, independent agreement as validation, which is why your own website, however good, is rarely enough on its own. Where you are mentioned matters as much as whether you are, a reference from an industry publication or an official body carries more weight than a low-quality directory. You don't need international media coverage (although that would be awesome), you just need authority signals within your own field.


How to Measure AI Mentions

"AI mentions us sometimes" is a feeling, it becomes useful when it becomes a number you can track and measure.


What AI Mention Rate Is and How to Calculate It

Mention rate is how often your brand actually appears when you run the same or similar questions repeatedly, compared to how often a competitor does.


Mention rate = answers that named your brand ÷ total answers checked × 100


Say you test 10 customer questions on 3 platforms and run each one twice, that is 60 answers. If your business is named in 9 of them, your mention rate is 15%. If a competitor is named in 27 of the same 60, theirs is 45%.


A single mention tells you very little, because AI answers vary between sessions and models. A mention rate, tracked across a set of real customer questions over time, tells you whether your signals are strong enough to earn consistent, repeatable inclusion. A low mention rate against a specific competitor usually points to one of two things: weaker entity clarity, or weaker cross-source corroboration. Both are fixable. Neither shows up if you only check once.


How to Run a Baseline Check for a New Zealand Business


  1. Choose 5 to 10 questions your customers actually ask. Pull them from sales calls and enquiries, not from guesses about what people search.

  2. Leave your business name out. These are unprompted questions. (Branded questions get their own, separate list.)

  3. Put the location in the question. Name the suburb, city or "New Zealand". Without it, answers often default to overseas businesses, and you learn nothing about your own market.

  4. Run each question on ChatGPT, Gemini, Perplexity and Google's AI answers, at least twice each.

  5. Record who was named, where they appeared, and how they were described. Include competitors.

  6. Repeat monthly with the same questions, so a change means something.


Our guide to checking your business's AI search visibility manually walks through the full process, including how to keep your testing conditions consistent.


What an AI Mention Does Not Tell You: Traffic, Leads and Accuracy

A mention is evidence of recognition, it is not evidence of much else.

It does not mean traffic, because many mentions carry no link and it does not mean leads. It also does not mean the AI described you correctly: a business can be named with the wrong services, an old price or the wrong suburb attached (being mentioned inaccurately is still a problem, just a different one.)


Read your mention rate alongside citations, enquiries and what was actually said about you. One number on its own flatters or frightens but together they paint a clearer picture and tell you what to fix.


Common Questions About AI Mentions


How Do I Check Whether ChatGPT Mentions My Business?

Ask it the questions your customers ask, without using your business name, and see who gets named. Run each question more than once, because the answer changes between sessions. Then ask about your business by name to check whether the description is accurate. One screenshot is an anecdote. A repeated set of questions is a measurement.


Why Does AI Never Mention My Business by Name?

Usually because the AI system cannot confidently connect your business to the question. Often the issue is not that the business lacks expertise, it is that the expertise is described inconsistently, backed by too few independent sources, or buried in content with nothing clean to extract. The business exists online. It just hasn't been made easy to name.


Are AI Mentions Random?

No. Any single answer varies, which makes it feel random but across many answers, the pattern is consistent. A brand described the same way, "commercial property lawyers in Christchurch", across three trusted sources is a pattern an AI system can act on with confidence vs a brand described once, vaguely, as "a legal firm" is just noise.


How Long Does It Take to Improve AI Mentions?

There is no fixed timeline, and anyone quoting one is guessing. It depends on how the answer is produced. Platforms that search the live web when they answer can reflect a change within weeks of the updated sources being picked up. Answers drawn from what a model learned in training shift more slowly. In one clinic audit we ran, a founder mix-up cleared about four weeks after the business's details were made consistent across platforms. Treat that as one example, not a benchmark.


You can't control whether an AI system mentions your brand but you can control the signals it weighs when it decides.


AI can't recommend what it doesn't understand.

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