Is Your Business Being Recommended by AI Right Now? How to Check and Track It
Summary
This article covers whether AI tools recommend your business. Where asking: “who’s the best [your service] in [your town]?” across ChatGPT, Perplexity, and Google’s AI, repeatedly can give you an understanding of how often your name appears. A single check is misleading, because AI answers change every time and differ by platform. To track it properly, it’s necessary to measure your mention rate across platforms over time (either manually in a spreadsheet, or with a purpose-built AI-visibility tool).
Your customers are already asking AI who to hire
For two decades, “being found online” meant one thing: ranking on Google. Meanwhile, in 2026, roughly a third of consumers now begin their searches with an AI tool rather than a traditional search engine, and ChatGPT alone passed 900 million weekly active users in February 2026 (more than double a year earlier).[1]
Your customers are increasingly skipping the list of blue links on Google and instead asking ChatGPT, Perplexity, Google’s AI Overviews, or Copilot. They ask “who does the best bathroom renovations in Christchurch?” or “recommend a reliable commercial builder near Auckland,” and the AI retorts a confident, conversational answer naming a handful of businesses.
The uncomfortable question is: is your business one of the names it mentions? For B2B especially, this is critical in the buying process. A March 2026 analysis found that almost three-quarters of B2B buyers use ChatGPT, Perplexity, Gemini or similar tools as part of their vendor research.[2]
Why you can’t just “Google yourself” to check
You might be tempted to open ChatGPT, ask “what’s the best [your service] in [your town]?”, see whether your name appears, and call it done. However, that single check will mislead you.
1. The answer changes every time you ask
Ask the same AI the same question five times and you’ll often get five slightly different answers. These systems generate responses probabilistically, so one lucky mention doesn’t mean you’re reliably recommended, and one miss doesn’t mean you’re invisible. The volatility is real and measurable: only about 30% of brands maintain visibility between consecutive AI answers.[7] Your presence isn’t a position you hold; rather, it’s one you have to keep earning.
2. Every AI platform answers differently
ChatGPT, Perplexity and Google’s AI each pull from different sources and reason differently, so you might be strong on one and absent on another. Best practice is to track ChatGPT, Google AI Overviews, and Perplexity at minimum, and report each platform separately, because answer sets, citations, and brand-recommendation behaviour differ between them.[3] Checking one platform tells you almost nothing about the others.
3. The wording of the question changes who gets named
“Best builder in Hamilton” and “reliable residential builder near Hamilton” can surface completely different businesses. Your customers ask the same questions many different ways, and you need to know how you perform across all of the probable questions, not just one phrase.
So a quick self-check gives you a false sense of security, or false panic. What you need is a measurement, not a spot-check.
What AI visibility measures
If you ran all of the questions your customers ask through the major AI platforms many times over, what percentage of those answers mention your business? That percentage is your AI visibility (sometimes called your mention rate or presence score).
A business with strong visibility gets named consistently: across platforms, across different phrasings, on repeated asks. A business with weak visibility gets mentioned occasionally, on one platform, if the stars align. Most SMEs, when they first measure, discover they’re closer to the second than they’d hoped. However, the most common failure mode isn’t a bad review from the AI answer, but the brand doesn’t appear in the answer at all (no hallucination, no negative framing, just absence).[4]
Why AI recommends some businesses and ignores others
AI tools don’t pick names at random. They decide who to recommend based on signals they can find and trust. Understanding these signals tells you what to fix. Five factors drive citation decisions across the major answer engines: structured authority signals from recognised sources (how easy is your website to read by the AI), entity clarity in a brand’s own information (is it clear), citation frequency across indexed sources (is there regular activity on the site), retrievability of the content (does the heading structure easily break the content down for the AI to scrape), and recency of coverage (can AI detect if the information is recent).[4]
The biggest surprise for most owners is how little their own website does the job alone. Multiple independent studies found that earned media (third-party coverage) is what AI trusts most[5], with analyses putting roughly 82% to 85% of AI citations coming from third-party sources rather than brand-owned websites[6]. It also has little to do with your Google ranking; 57.1% of AI Overview sources come from outside the organic top 10, and 88% of Google AI Mode citations are pages not in the organic top 10[7]. Traditional rank-tracking simply misses most of what AI cites.
How to track whether AI recommends your business
Option 1: Track it manually
You’d write out 20–30 real customer questions, ask each across ChatGPT, Perplexity and Google’s AI, repeat each several times to average out the randomness, log every result in a spreadsheet, then repeat the whole exercise weekly to see trends. It works; it’s just tedious, and the moment you stop, your data isn’t accurate.
Option 2: Use a purpose-built AI visibility tool
The systematic option is a tool built for the job. This is the exact problem we built our workflow around at Stylo Digital: we run a large, fixed set of real customer prompts across ChatGPT, Perplexity, Gemini and Google on a schedule, track your mention rate over time, break the score down by platform, watch which competitors get named alongside (or instead of) you, and pinpoint why the AI isn’t picking you (thin website content, missing structured data, or a lack of earned coverage). Instead of a one-off “did it mention me?”, you get a visibility score you can watch move week to week, and a prioritised list of what to fix first.
| Manual spreadsheet | Purpose-built tool | |
| Platforms covered | Whatever you check by hand | ChatGPT, Perplexity, Google – consistently |
| Repeats per question | However many you have patience for | Dozens, automatically |
| Trend over time | Only if you keep it up | Tracked continuously |
| Tells you why you’re missing | No | Yes – prioritised fixes |
| Ongoing effort | High, every week | Low |
What to do once you know your score
A proper AI-visibility audit shows you the gap, and how to fix it. For NZ SME’s the common recommendations are:
- Weak earned media – if credible third-party sites don’t mention you, AI has little reason to. This is usually the biggest lever, given how heavily engines lean on third-party sources.
- Unstructured website content – leading with a direct answer in the first 40–60 words and embedding statistics and comparisons (not just Q&A) measurably improves how AI extracts your content.[7]
- Missing structured data and FAQs – schema and FAQ sections make your content machine-parseable and easier to cite.
- No comparison or “best of” content – the exact content AI reaches for when someone asks it to recommend or compare options.
Fixing these gaps can drastically improve your visibility score.
Frequently asked questions
How do I check if ChatGPT recommends my business?
Ask the same AI the same question five times and you’ll often get five slightly different answers. These systems generate responses probabilistically, so one lucky mention doesn’t mean you’re reliably recommended, and one miss doesn’t mean you’re invisible. For consistent and accurate data, ask AI the same question multiple times to understand your AI visibility.
Why does AI give a different answer every time I ask?
Because AI language models generate responses probabilistically rather than returning a fixed list. In practice, only about 30% of brands hold their visibility between two consecutive AI answers. That’s why a single self-check is unreliable and why measuring a mention rate across many repeats matters.
Is my Google ranking the same as my AI visibility?
No. They’re independent. Majority of sources AI engines cite sit outside the traditional organic top 10 (one analysis found 88% of Google AI Mode citations were pages not in the organic top 10). You can rank well on Google and still be invisible in AI answers, which is why AI visibility needs to be measured separately.
Why isn’t my business showing up in AI recommendations?
Usually one of four reasons: not enough credible third-party coverage (earned media), which most AI citations rely on; website content that isn’t structured for machines to extract; missing structured data or FAQ markup; or no comparison and “best of” content for the AI to draw on. An AI-visibility audit identifies which gap is hurting you most.
How often should I track my AI visibility?
At minimum, monthly (ideally weekly) because AI answers are volatile and shift as sources and models change. A one-off check is a snapshot; the value is in the trend line, so you can tell whether the fixes you make are actually moving your mention rate.
Conclusion
Your customers are already asking AI who to hire. The businesses that win the next few years won’t be the ones who guess. They’ll be the ones who measure their AI visibility, understand why it’s where it is, and systematically improve it. You can’t fix what you can’t see, and the first move is simply finding out where you stand.
Want to know exactly how often AI tools recommend your business and what’s holding your score back? At Stylo Digital we run AI-visibility audits for Kiwi SMEs across ChatGPT, Perplexity and Google, and turn the findings into a clear plan of action. Get in touch for a snapshot of where your business stands.
Ngā mihi, Kevin Bach – Stylo Digital
Sources
- Instant Press — AI & ChatGPT Statistics for 2026 (consumers starting with AI; ChatGPT weekly active users). https://www.instantpress.co/ai-statistics
- Everwilde One — AI Search Statistics 2026 (share of B2B buyers using AI in vendor research). https://www.everwildeone.com/blog/ai-search-statistics/
- Parse.gl — AI search statistics 2026: the numbers that matter (track ChatGPT, AI Overviews, Perplexity separately). https://parse.gl/blog/ai-search-statistics-2026
- Everything-PR — Answer Engines: How AI Cites Brands (five citation factors; silent invisibility). https://everything-pr.com/answer-engines-how-ai-decides-which-brands-get-cited
- Muck Rack — Earned media still drives AI citations (earned media is what AI trusts). https://muckrack.com/blog/what-is-ai-reading-may-2026
- AuthorityTech — AI Citation: How Answer Engines Choose Sources (82–85% of citations from third-party sources). https://authoritytech.io/blog/ai-citation-how-answer-engines-choose-sources-2026
- AuthorityTech — How AI Answer Engines Choose Sources to Cite (visibility volatility; answer-first passages; citations outside top 10). https://authoritytech.io/curated/how-ai-answer-engines-choose-sources-to-cite-2026
Statistics current as at July 2026; figures are drawn from third-party industry research and cited above.
