Get ChatGPT to Recommend Your Factory: A GEO Primer for Factory Websites

Overseas buyers are starting to use ChatGPT to find suppliers. How should a Chinese factory change its English website so AI recommends it? In one line: turn your site from a digital brochure of company profile plus product photos into a primary source that both buyers and AI can verify. Spell out capacity, certifications, processes and lead times, and answer the questions that come up most in inquiries. That is where GEO for a factory website starts.

The latest data shows why. On October 12, Search Engine Journal reported Ahrefs figures showing that from March to September 2026, the sites ChatGPT cites most in US answers shifted clearly toward original, authoritative sources: the share of answers citing Reddit fell from 19.1% to 2.3%, and Wikipedia from 14.1% to 2.9%. Search Engine Land reported that in early September, Google AI Overviews appeared on only about 26% of tracked branded searches; by the end of the month, the figure had passed 80%. When buyers search your factory’s name, the first thing they read may well be a summary written by AI.

Do overseas buyers really use AI to find suppliers?

Procurement is adding a new layer of tools. In the past, a US buyer looking for a factory to make custom silicone kitchenware would search keywords on Google, browse Alibaba.com (Alibaba’s international B2B marketplace) and wait for the next trade show. Now they may start by asking ChatGPT: “Which silicone kitchenware factories in China have LFGB certification and take small custom orders?” They get a shortlist, then verify it on platforms and at trade shows.

First, three terms. SEO, search engine optimization, gets your pages ranked high in Google’s link results. AEO, answer engine optimization, gets your content used directly by AI to answer questions. GEO, generative engine optimization, gets you cited and recommended in generative answers from ChatGPT, Perplexity and Google AI Overviews. For a factory, the question GEO answers is simple: when AI builds a shortlist for a buyer, are you on it?

What kind of websites does ChatGPT prefer to cite?

According to Ahrefs’ analysis, the biggest risers were government and research sites, regulators, and reviewers who test products hands-on; the decliners were mostly explainer and commentary sites that repackage other people’s content. Ahrefs’ read is that ChatGPT appears to prioritize original sources over the sites that summarize them, and it recommends focusing on content only you can create, such as original research, hands-on test data and your own product information.

For a factory, the original source is you. Only you know how many production lines you run, what equipment you use, which certifications you hold and how many days sampling takes. If that information lives only in your sales team’s quotes and Chinese-language PDFs, AI can only cite what others say about you, or simply recommend a competitor who wrote it all down clearly.

One more number is worth noting: of 66.6 million free, logged-out ChatGPT responses, only 14.4% triggered a web search. Most answers rely on what the model already knows, so your factory’s information needs to appear consistently, over time, on your website, LinkedIn, trade media and other credible places, not on one page you tweak at the last minute.

Why does AI always recommend someone else’s factory?

The economic theory of information asymmetry explains it: when one side of a deal knows far more than the other, the side that knows less gets cautious and would rather pick the option that looks safer. A factory knows its own quality inside out, but an overseas buyer can only judge from limited public information. The less information there is, the more buyers push on price or simply go with a better-known supplier.

AI now acts as an information broker, and it can only narrow that gap for buyers using public, verifiable information. The problem often sits on the other side, too: many factories don’t understand how buyers ask questions. The website says “we have advanced equipment and a professional team,” while the buyer is asking about MOQ (minimum order quantity), which food-contact tests you’ve passed and whether you do private label. Understanding is the foundation of connection: figure out what buyers are asking first, and your website can give answers AI is willing to cite.

What citable content should a factory website add?

Many factories already have this content; it’s just locked away on sales reps’ computers. Translating, organizing and publishing it is itself a way of closing the information gap in front of buyers and AI.

Where does GEO for a factory website start?

1. Ask AI the way a buyer would. List 20 English questions buyers might ask, put them to ChatGPT, Perplexity and Gemini, and record whether you’re mentioned and whether the information is right.
2. Unify your entity information. Check your company’s English name, address, URL and main categories on your website, Alibaba.com, LinkedIn company page and trade show materials one by one, and bring them all to the same version.
3. Rewrite the top of your homepage. In one sentence, say which buyers you serve, what you make and why you’re credible, for example: “OEM factory supplying LFGB-certified silicone products to European and American kitchenware brands.”
4. Build a “capability plus proof” page for each core category. Fill in capacity, certifications, processes and lead times following the table above, with real photos and test data.
5. Turn frequent inquiry questions into an FAQ. Open each answer with two or three sentences that answer directly, then add the details, so AI can easily lift and cite it.
6. Add structured data. Add the matching Schema markup for company information, products and FAQs, so search engines can read your pages more easily.
7. Retest every month. Repeat the questions from step 1, compare whether AI’s answers have changed, then decide which pages to add next month.

With AI Overviews taking over branded searches, what should factories watch?

Tracking data reported by Search Engine Land shows that Google AI Overviews’ coverage of branded searches peaked at 90.48% on September 27, and another firm, Nectiv, found that branded searches for 93 of 100 enterprise brands triggered an AI Overview. For a factory, that means when a buyer searches your English name after a trade show, the first paragraph they see may not be one you wrote.

Search your factory’s English name on Google today and see how the AI Overview describes you. Are your main products right? Is the address outdated? Has it mixed you up with a company of the same name? If you find errors, fix the source information on your website and other platforms first, then keep publishing consistent content.

If your team doesn’t have time for these monthly checks and content updates, ToucHigh’s GEO Autopilot can first audit your visibility in ChatGPT, Perplexity, Google AI and Gemini, then write and publish the fix pages and Q&A content, and keep tracking your share of AI citations.