How to Get Your eCommerce Brand Recommended by ChatGPT and AI Search

Open ChatGPT right now and type: ‘What are the best [your product category] brands in Australia?’

Read the answer carefully. Not just whether your brand appears — but which brands do appear, what reasons are given, and what the language of the recommendation tells you about what AI systems value.

If your brand is in the answer: congratulations. Now check whether the description is accurate and compelling. If it is, you’re ahead of most of your competitors. If it isn’t — if ChatGPT has you half-right or positioned in a way that doesn’t reflect your actual strengths — that’s fixable, and this piece will show you how.

If your brand isn’t in the answer: that’s the most useful information you could have received today. Because it tells you exactly where the gap is — and closing it is more achievable than you might expect.

This Is Not a Niche Tech Problem

Before we go further, I want to address the reaction some founders have when this conversation comes up: ‘My customers aren’t using AI for product research. They’re not that tech-forward.’

ChatGPT handles over 2.5 billion prompts per day. Google’s AI Overviews appear at the top of billions of search results, answering buying questions before the first organic link appears. Perplexity — which shows its source citations — is growing rapidly as a research tool for exactly the considered, educated, values-led buyers that premium brands attract.

This is not early-adopter behaviour. This is mainstream search behaviour. And it’s where a meaningful proportion of the purchase-intent audience for premium products is now doing their research — including the research they do when validating a brand they discovered through an ad, a friend’s recommendation, or a social media post.

The question is not whether your customers are using AI search. The question is whether they find you when they do.

The Kmart Problem — and the Reframe Premium Brands Need

This week, Kmart Australia dropped a $39 twelve-piece version of Gustaf Westman’s iconic ‘bubble’ plates — a designer range that retails for over $1,000 a full set. TikTok immediately flooded with videos calling them ‘virtually identical.’

I’ve heard some version of this story from premium brand founders many times over the years. ‘I spent years building something genuinely original. Real R&D, real craft, real investment. And then I watched it get copied — by Kmart, Target, or a fast-following competitor brand — at a fraction of the price.’ They’re upset. Understandably.

Here’s the reframe. The person buying the $39 Kmart set was never going to buy the original. Not with the most perfect ad campaign in history. She is a fundamentally different customer, making decisions based on completely different criteria. The price is the answer to every question she has. Your brand story, your craft, your provenance, your values — none of that enters her decision.

As a premium brand, your customer is the considered buyer. The one who, when she discovers your brand, opens a new tab and searches for you independently — on Google, on TikTok, on ChatGPT — to see if you’re worth the investment. She’s not choosing between your product and the Kmart version. She doesn’t even see them as being in the same category. She’s deciding whether to trust you.

And here’s where it gets pointed. The Kmart dupe will never earn an AI citation. It will never build content authority. It will never be recommended by ChatGPT to a considered buyer asking for a premium recommendation in your category. That’s your structural advantage. The depth, the expertise, the story, the craft that makes your brand genuinely different — that’s exactly what AI systems are trained to surface, and exactly what the dupe can never replicate.

The brands winning in AI-driven search right now have one thing in common: they have genuine depth to talk about. They’re not winning because they’ve gamed an algorithm. They’re winning because they’ve built brands worth recommending.

How AI Systems Decide What to Recommend

Understanding this changes how you think about content strategy entirely.

AI systems are trained on the web. They’ve read — and continue to read — the accumulated content of the internet: blog posts, media coverage, reviews, community discussions, brand websites, FAQ content, social posts. The brands they recommend are the ones that appear most credibly and most frequently across authoritative surfaces. Not the brands that post most often. The brands that have the most credible depth.

This means a few specific things.

External mentions matter enormously.

If your brand is only talked about on your own channels — your website, your Instagram, your email list — AI systems have very little external signal to draw on. Media mentions, blog coverage, podcast appearances, collaborations with complementary brands, community discussions — these are the third-party signals that tell AI systems your brand is established and credible. A brand with rich external coverage looks authoritative. A brand that only talks about itself looks isolated.

Content depth outperforms content volume.

A single genuinely authoritative blog post that answers a real question in depth — covering ingredients, provenance, the ‘why’ behind your process, the specific problem your product solves — is worth more for AI visibility than twenty promotional posts. AI systems are looking for the kind of content that actually helps someone make a better decision. Premium brands are uniquely positioned to create it.

FAQ content is disproportionately powerful.

When someone asks ChatGPT a buying question, it’s often drawing on FAQ-structured content — specific questions with specific answers. FAQ sections on your product pages, collection pages, and a standalone FAQ hub are among the highest-leverage content investments a premium brand can make for AI visibility.

The Three-Question Audit

Here’s a quick exercise you can run right now to see where your brand currently stands across the new search landscape.

Question 1 — The AI Visibility Test.

Open ChatGPT and search for your brand category. Then search your brand name directly. Try Perplexity and read the source citations — those are the pages AI systems are currently drawing from in your category. Then Google the category question and look at the AI Overview. What appears? What doesn’t? Who is being recommended — and why?

Question 2 — The Social Search Test.

Go to TikTok search and type the words your ideal customer would type when she doesn’t know which brand she wants yet — just the outcome or category she’s looking for. Do the same on Pinterest. What comes up? Is your brand in those results? Is your content structured to appear in that search, or is it built exclusively for your existing followers?

Question 3 — The External Presence Test.

Google your brand name and scroll past your own website and social profiles. What else appears? Media mentions, external reviews, third-party features, community discussions? Or is the results page essentially just your own content, talking about itself?

Whatever you find — that’s your baseline. It’s not a verdict. It’s a starting point. And the gap between your current visibility and where you could be is almost always more closeable than it first appears, because a lot of the work is structural rather than requiring massive volumes of new content.

The Premium Brand Advantage

I want to close with something I mean genuinely, not as reassurance.

Premium brands are structurally better positioned to win in AI-driven search than anyone else in eCommerce. The content AI systems want to cite is authoritative, specific, and genuinely expert. It demonstrates real knowledge. It has a point of view. It answers questions that only someone who truly understands a category could answer.

That is exactly the kind of content a premium brand is best placed to create. The founder who has spent years developing a genuinely differentiated product knows things about her category that a dupe brand never will. The brand with a real philosophy has something worth saying. The maker who understands their craft has content that earns citations — not because they’ve optimised for an algorithm, but because they’ve created something genuinely useful.

You already have the expertise. The opportunity is to structure it so the people who are actively looking for what you offer can actually find it.