How overseas buyers actually search for a supplier in 2026

There is a picture of the overseas buyer that a lot of exporters still carry around: they come to a trade fair, they walk the aisles, they collect catalogues, or they open a marketplace and scroll through suppliers. Some buyers still do that. But the buyers who place the largest orders now start somewhere else, and if you are not there, they never reach you.

Here is the path a serious purchasing manager in Australia, the United States or Europe actually follows, and where most factories and trading companies fall out of it.

Step one: they type the need, not the product name

A buyer does not start with “tractor attachment company”. They start with the problem in front of them: “front loader attachment for 40hp compact tractor”, “stainless food-grade pump supplier”, “wholesale LED high bay 150W”. Specific, in their own words, in their own spelling.

Google matches those words against the pages it has indexed.³ If your site has a page that answers exactly that need, in those words, you are in the results. If your site has one page called “Products”, you are not.

Step two: they ask an AI, and the AI searches for them

Increasingly the buyer does not type into Google at all. They ask ChatGPT, or Google’s AI Mode, or another assistant: “Who makes good compact tractor attachments that ship to Australia?” What happens next is invisible to the buyer but decides everything.

The assistant breaks the question into several searches of its own, runs them, reads dozens of pages, and writes one answer citing three or four of them. In a study of 15,000 real ChatGPT prompts, 89.6% triggered two or more follow-up searches, and of all the pages the assistant read, only about 15% were actually cited in the answer.¹

Which pages get cited? The same study found that pages whose headings closely matched the question were cited about 41% of the time, against 30% for weaker matches, and that domain size and backlinks made no meaningful difference.¹ A small factory site with a page that answers the exact question beats a large competitor whose site does not.

Google says the same about its own AI features: the fundamentals are unchanged, and pages that are helpful, well-structured and answer the question are the ones its AI shows and links to.²

1. The buyer asks one question "Who supplies food-grade stainless pumps to Australia with CE and 3-A certification?"
2. The assistant runs several searches stainless pump suppliers Australia, 3-A certified pump manufacturers, food-grade pump lead times, and more.
3. It reads dozens of pages and cites a few the ones that answer each sub-question clearly, with the words in the headings and the facts on the page.
4. The buyer sees three or four names and contacts one of them. Everybody else was never in the conversation.

Step three: they read, and they judge

Once the buyer lands on a supplier’s page, they are reading for two things at once: does this product meet my requirements, and can I trust these people?

For the first, listing specifications is not enough. The buyer wants to know what the product does for them, why it is built the way it is, how it compares with the brand they already know, what the lead time is, what the minimum order is, how it ships. A buyer who cannot answer those questions from the page does not call to ask. They go to the next supplier whose page answers them.

For the second, they look for proof: reviews from other customers, certifications they recognise, photographs of the real factory and the real people, and how long the company has been around. Google itself encourages businesses to collect reviews because buyers use them to decide.⁴

Step four: they make contact, in their own time zone

The buyer in Sydney is working while the factory in Dongguan is asleep. If the site has a form, they fill it in. If it has a local phone number that someone answers in English, many will call, and a call is a much warmer start than a form. If the number rings out, or the email gets a reply three days later in uncertain English, the buyer has already moved on.

This is the step exporters underestimate most. Getting found is hard, and losing the buyer at the last step because nobody answered is the most expensive way to fail.

Where factories drop out

Put the four steps together and the drop-outs are obvious:

• No page for the specific need the buyer typed, so they never appear in step one.
• No pages that answer questions clearly, so the AI never cites them in step two.
• A brochure page with specifications and stock photos, so the buyer cannot judge in step three.
• A form nobody checks and a number nobody answers, so the buyer leaves at step four.

And the fix is the mirror image:

• A page for every major search and a post for every question, written in the buyer's language.
• Headings that ask the buyer's question and content that answers it, with structure the engines can read.
• Benefits, comparisons, real photographs, real reviews, real people.
• A local number answered in English and every enquiry logged where your team sees it.

What to do this month

Find out what your buyers in your target countries actually type. Count how many of those searches your site has a page for. The number is usually close to zero, and that number is the whole explanation for the silence. Then start building the pages, in order of value, and do not stop.