Skip to content
Getting found in search and AI

How importers search for suppliers in 2026 (Google and AI search)

By [Name]Last updated

Many importers and distributors still start supplier searches on Google, in their own language and with specific product terms. More and more of them also ask an AI assistant such as ChatGPT, Perplexity or Gemini for a shortlist. The assistant answers from web pages it can read and trust. For a manufacturer, this means clear product information, consistent company facts and a presence outside your own website.

What a buyer actually types

An importer rarely searches for your brand. They search for what they need to resell or use, and they describe it with words from their own market. Typical search patterns:

  • Product and specification: "stainless steel gear pump ATEX", "oak dining chair contract".
  • Product and country or region: "Italian durum wheat pasta supplier Germany".
  • Proof: "IFS certified", "EN 1021", "ISO 9001 manufacturer".
  • Role: "importer", "distributor", "Hersteller", "fabricante", often combined with a product.
  • Alternatives: "supplier of X for Y application", "replacement for brand Z".

These searches are in the buyer's language. A page in English only is often not what shows up for a search in German, Spanish or Italian.

What changed: assistants that answer in sentences

An AI assistant takes a question like "Which manufacturers make contract chairs for hotels in Italy?" and answers with a short list and a few sentences about each company. For a buyer who wants a shortlist, this saves several steps. Some tools show their sources as links, others only name the companies.

Three things are worth knowing:

  • Answers are not fixed. The same question can give different companies on different days, in different languages and in different tools. Nobody outside the providers can say exactly how the selection works.
  • The buyer still checks. Even when an assistant names you, the buyer usually opens your website and looks for confirmation.
  • Assistants favor clear facts. They tend to quote what is stated plainly and confirmed by more than one source.

What AI assistants rely on

Without claiming to know how each tool works, the signals are consistent across what is publicly known:

  1. Pages they can read. Text in HTML, not only in images, PDFs behind forms or scripts. Descriptions of products, applications and your company.
  2. Structured information. Markup such as schema.org Organization and Product data helps machines understand who you are and what you make.
  3. Consistency. The same company name, address, description and product names on your site, on LinkedIn, in directories and in the press.
  4. Other sources that mention you. Trade directories, association member lists, fair exhibitor pages, publications, reviews and customer references.
  5. Language. A page in the language of the question is more likely to be used than a translation the buyer has to request.

What manufacturers should change

The table lists the most useful changes, in the order we usually look at them.

ChangeWhy it helpsWhere to start
State plainly who you are and what you makeGives assistants a clear sentence to useAn "About" and a short company profile page with facts
Product pages with specificationsMatches technical searches and gives something to quoteSpecifications as text, not only in a PDF
Pages in the buyers' languagesMatches how buyers searchStart with the one or two markets that matter most
Structured dataHelps machines read the pageOrganization and Product markup
Same facts everywhereBuilds trust through repetitionCheck LinkedIn, Google Business Profile, directories
Presence beyond your siteGives independent confirmationAssociation lists, fair pages, industry directories
Answers to buyer questionsMatches the full questions buyers askA short FAQ on key pages

How it differs by industry

The pattern is the same, but the details buyers search for and trust differ.

  • Machinery and components. Buyers are engineers, plant buyers, OEMs and distributors. They search with technical terms, part numbers, standards such as CE and ISO, and applications. Search volumes are low and intent is very high. Datasheets, specifications and information on service and spare parts decide the shortlist.
  • Furniture, interior and contract. Buyers are dealers, interior architects, hotel groups and project contractors. They search by project type, for example "contract chairs for hotels", and look at images, references, fire and safety ratings and lead times. Trade fairs still matter, and many buyers check you online before and after they visit the stand.
  • Food and beverage. Buyers are importers, distributors, retail buyers and food service. They search by product, origin and certification, such as organic, PDO or PGI, IFS or BRCGS. Specifications, shelf life, packaging formats, minimum orders and private label options are what they need to see.

In each case the question the buyer asks an assistant is close to the question they type into Google, only longer. Write your pages so that they answer it.

How to test where you stand

You do not need special tools to get a first picture.

  1. Write ten questions a buyer might ask, in the target language. Mix product questions, supplier questions and comparison questions.
  2. Ask each question in Google and in at least two AI assistants.
  3. Record which companies appear, whether you are among them and which sources are named. Add the date.
  4. Open the pages of the companies that appear. Ask what they state more clearly than you.
  5. Repeat the same questions every month.

Keep the question set fixed. Otherwise you cannot tell a real change from the normal variation of the answers. Our free audit uses the same approach for one target market.

Where this fits in a plan

Better visibility does not work without a website that gives buyers what they need and a plan for which markets to prioritize. The usual order is research, then website, then ads for first inquiries, then search and AI visibility as the long-term base. Get Found describes the last step in detail.

Summary

  • Buyers search in their own language with specific product terms.
  • AI assistants add a second route. They answer from readable, structured and widely confirmed information.
  • Answers vary, so measure with a fixed set of questions, the same time each month.
  • The work is mostly the same as good SEO plus clearer company facts and a presence beyond your own website.

Sources

Behavior of AI assistants changes often. Treat the description above as of October 2026 and test current behavior before you act on it.

FAQ

Questions about supplier search

Do AI assistants replace Google for supplier search?

Not yet for everyone. Buyers use both, often one after the other: an assistant for a first overview, Google for checking companies. Plan for both and do not give up one for the other.

Can we pay to appear in AI assistant answers?

There is no general way to buy a place in the answer. Assistants draw on web pages, structured data and mentions on other sites, so the work is on your own information and your presence elsewhere. This is what Get Found is about.

How do we know whether AI assistants mention us?

Ask them the questions your buyers ask, in the buyers' languages, and write down the answers with the date. Answers change over time, so repeat the same questions every month and compare.

Is classic SEO still worth the effort?

Yes. Clear pages, correct language setup and trusted sources help both search engines and AI assistants. GEO, being visible in the answers of AI assistants, builds on this and does not replace it.

See whether AI assistants recommend you today