How to know if AI recommends your brand
The quickest way to find out is to ask the AI engines directly: open ChatGPT, Perplexity, Gemini, Claude and Google's AI, and type the question your customers would ask — "what's the best [your category]?" If your brand is named in the answer, AI is recommending you. If it isn't, you're invisible at the exact moment a buyer is deciding — and you'll never see it happen.
Why this matters now
More buyers are starting with an AI assistant instead of a search engine. They ask "what should I buy?" and the AI replies with a short list of three or four brands. Those named brands get considered. Everyone else is simply left out of the conversation — no lost click to measure, no bounce to analyse, just quiet absence.
Traditional analytics can't show you this. Your dashboard won't tell you that a buyer asked ChatGPT for a recommendation and your competitor was named instead of you. That's the blind spot this check closes.
How to check, step by step
You can do a rough version of this yourself in about twenty minutes. Here's how:
- List the questions your buyers actually ask. Not your brand name — the real buying questions: "best [category] for [need]", "[category] recommendations", "how do I choose a [product]". Write down five to ten.
- Open each AI engine separately. ChatGPT, Perplexity, Gemini, Claude and Google's AI Overview. Use a fresh or logged-out session so your history doesn't skew the answer.
- Ask each question on each engine. Read the full answer and note which brands are named — including whether yours appears, and where competitors show up.
- Compare across engines. This is the revealing part: you'll often find you're named on one engine and absent on another. That inconsistency is the real story.
- Look at how you're described, not just whether you appear. Being named as the top pick is very different from being mentioned as an afterthought — or worse, described inaccurately.
What to do if AI isn't recommending you
Being absent isn't a dead end — it's usually a specific, fixable gap. AI engines build their recommendations from sources they trust: review sites, comparison articles, communities, and clear, citable content on your own site. If those sources don't establish you as a strong answer, the AI has nothing to draw on.
The practical levers are consistent: publish genuinely useful, answer-first content on the questions buyers ask; make sure the AI crawlers can actually read your site; earn presence in the directories and articles the engines cite in your category; and build the third-party mentions that signal credibility. None of it is a trick — it's becoming genuinely citable. And it compounds over months, so starting early matters.
The honest bottom line
You can't fix what you can't see. A twenty-minute manual check will tell you roughly where you stand. A proper measurement — every buyer question, every engine, read and judged one answer at a time — tells you exactly which questions you're missing from, who's named instead of you, and what to do first. Either way, the first step is the same: find out whether AI is recommending you, before your competitors find out first.
The Citation Desk