Getting Your Product Recommended by AI Is the Easy Part

Every second marketing newsletter this year has told product founders the same thing. Get recommended by AI. Optimise for ChatGPT. Win the answer before your competitor does.

It is not bad advice. It is just aimed at the easy half of the problem.

The recommendation is an introduction, not a sale

Almost nobody buys on an AI recommendation alone. In Product.ai's Trust in AI Commerce report, published on 14 October 2026 from a survey of 1,493 US adults, 89.9 percent of people who use AI to shop said they verify the recommendation somewhere else before they buy. Of those who check, 89.9 percent have caught the AI getting something wrong at least once. And 60.3 percent of that group then dropped the purchase, switched to a different product, or stopped using AI for that category altogether.

Read that again, because it is the whole story. The assistant introduces you. Then the customer goes and checks you. The sale is won or lost in the checking.

Worth saying that Product.ai sells verification tools, so it has an interest in that finding. The direction of it holds up in other data though.

AI talks people out of buying about as often as it talks them into it

A survey of 2,338 US adults published by Semrush in September found that 57.5 percent of AI users have decided against a purchase because of something a chatbot told them. The same survey found 57.5 percent have bought something on an AI recommendation. Almost exactly the same number, pulling in both directions.

So the useful question is not whether AI sends you customers. It is what tips a given shopper one way or the other.

The survey answers that fairly bluntly. Eighty five percent of AI users said they would be less likely to buy if a chatbot flagged mixed or negative reviews. The assistant is not forming an opinion about your brand. It is reading your reviews, your returns policy, your spec sheet, your stockists' listings and a forum thread from three years ago, then handing the lot over in one tidy paragraph.

The customers it filters out never show up in your analytics

Adobe's analysis of US retail traffic found AI-referred visits grew 393 percent year on year in the first quarter of 2026. More interesting is what happened to the quality of that traffic. In March 2026 it converted 42 percent better than non-AI traffic. A year earlier, the same channel converted 38 percent worse.

That flip usually gets reported as good news, and it is. But look at what causes it. Visitors arriving from an assistant have already been screened. Somebody asked a question, got a shortlist, and you made the shortlist. The people who were quietly steered away from you never appear in your numbers at all.

You cannot A/B test a conversation you were not part of. That is the uncomfortable part of this.

What actually survives the check

Specifications that match everywhere

Shoppers in the Product.ai survey said they trust AI most on specifications, at 61.1 percent, and least on price, at 53.5 percent. Specs are also the easiest thing to get caught on. If your dimensions, materials, weights or care instructions say one thing on your site, another on your stockists' pages and a third on a marketplace listing you set up in 2024 and forgot about, an assistant will find all three and mention it.

Reviews with volume and recency

Review count matters less than whether the recent ones are good and whether there are enough of them to look real. If you are starting from close to nothing, I have written separately about how to get reviews and social proof for a new product.

Claims you can actually stand behind

Handmade. Australian made. Organic. Recycled. These used to be marketing words that nobody interrogated. Now they get checked against your own fine print in about four seconds. If your product is made overseas and finished here, the rules are specific about what you may claim, and Source Haus covers country of origin labelling for imported goods in detail.

The boring trust layer

• A returns policy written in plain language, not legal filler
• Shipping times you actually meet
• A contact method that reaches a human
• Who runs the business, and where
• Business details that can be found without digging

None of that sells anything on its own. All of it gets quoted back when someone asks an assistant whether your brand is legitimate.

The price of your product decides how much of this matters right now

This is the part most of the AI commerce coverage skips. Trust has a price ceiling.

In the Product.ai data, 46.1 percent of shoppers would not spend more than 25 dollars on an AI pick without checking another source. Only 4.6 percent would go above 500 dollars unchecked. And 21.6 percent of AI users have let an assistant complete a purchase from start to finish.

So if you sell a 19 dollar consumable, agentic buying is a channel worth preparing for now. If you sell a 400 dollar cot or a 280 dollar necklace, it is not, and it will not be for a while. At that price AI is doing something earlier and quieter to your business. It is building the shortlist before anyone lands on your site, and deciding whether you survive the first round of questions.

What I would not spend money on

• Retainers for AI visibility priced like SEO retainers, on a channel with no stable measurement model yet. Ask what the monthly report will actually show you before you sign anything.
• Rewriting your whole site into question and answer format. Answering the questions your customers genuinely ask is worth doing. Turning your homepage into a FAQ is not the same thing.
• Chasing each new assistant separately. The behaviour in the research looks much the same across all of them.

One caveat on all of this. These figures are American. Australian adoption trails, but the assistants are the same ones and the behaviour is the same behaviour, and the gap has been closing quickly.

None of this is new work

I built Incy Interiors in an era when researching a cot meant a few blog posts, a Facebook group and a long email. The research has not gone away. It just happens in seconds now, without you in the room, and with no patience for anything that does not line up.

Which means the work AI rewards is mostly the work that was already worth doing. Accurate specs. Real reviews. Claims that hold. A business that looks like a business.

The difference is the reader. It does not skim, it does not give you the benefit of the doubt, and it will never fall for your brand story. It just checks.

Get the checkable things right and the recommendation tends to look after itself.