How GEO works: 6 steps for B2B foreign trade factories to go from zero to being used by AI.

In the previous article, we discussed how GEO secured AI search traffic (mechanism analysis). This article provides the action: how a B2B foreign trade factory, starting from scratch, can achieve " being cited by AI " . Six steps, a replicable approach.

First, take stock of the basic content of the official website (don't put the cart before the horse).

GEO is an amplifier for the content quality of " " , not a fig leaf. Check three things before you start:

• Is the page being indexed by Google correctly? ( robots.txt and Sitemap should not conflict with each other).
• Check website speed, mobile performance, and whether HTTPS is working properly;
• Is there any basic structured data?

Even AI can't crawl your page, so there's no way it can reference it. This step is the foundation; skipping it will render everything else useless.

II. Build a buyer's question database " " (Direction is more important than diligence)

Don't start with the product term " or " ; instead, start with the question term " " . Translate your core product into questions that buyers would actually ask in the AI:

• It's not " industrial cooling fan supplier " , but rather " 200W cabinet cooling fan, " " DC or AC, how to choose " ;
• It's not " reflective insulation film " , but rather " what insulation material is used for cold chain transportation? " " the difference between radiant barrier and bubble wrap " .

This " word-to-question " database is your selection list for all GEO content.

3. Redirect the product page from " (parameter " to " (question and answer) "

For each flagship product, don't just pile up specifications. Add three more elements:

• Product segment : What it does, specifications, certifications;
• Technical modules : principles, selection, and industry know-how;
• Application Block : How to use it in different scenarios and what pitfalls you encountered.

The three pieces, when put together, perfectly cover the structure that both buyers and AI will ask about, making it easier for AI to extract references.

IV. Write 20 FAQ answer pages (the most cost-effective starting point)

Even without a content team, this can be done. Select 20 frequently asked questions from buyers " , " , write each question in 300-500 words, and create a page with built-in answers .

• It has clear definitions, real data, and usage scenarios;
• To be direct, this is the kind of thing AI loves to use.

These 20 articles represent the minimum viable content set (Minimum Viable Content Set " for most small and medium-sized factories' " (Geo-Operators).

5. Add structured data and distribute across multiple platforms (expand the scope of data crawling)

• Add structured data such as FAQ and Product to the homepage, product page, and FAQ to make it easier for the model to extract and label the source;
• Synchronize core content to the official website, Zhihu, and industry media to ensure your brand is mentioned in multiple places—the higher your brand's credibility , the more AI recognizes you as an industry entity and the more willing it is to target you.

VI. Monthly monitoring uses the " indicator, which is then referenced by " indicator, to drive iteration.

Don't just wait for the results after completing the procedure. Check monthly.

• Did your page appear in the sources of the AI ​​answer?
• How many times was the brand mentioned in the AI's answers?
• Which AI platform uses your technology the most?

Use this data to deduce which issues haven't been covered yet, which content isn't sufficient (like the answer " " , and supplement them in the next round.

A real change

One of our industrial cooling fan manufacturers (city undisclosed) adjusted its website according to the above-mentioned strategy of shifting from parameters to " " and the AI ​​citation data showed a clear change (according to CTMON's public disclosure, Semrush data from 2026-06-03 to 2026-07-13):

• Number of unique pages cited by the AI ​​platform: 207 → 248 (+19.8%)
• The brand was mentioned 2 times in the AI ​​answer: 2 → 7 times
• AI Overview Reference Page: 23 → 40 (+73.9%)
• ChatGPT Citation Page: 141 (Largest Single Source)

A 6-step checklist for export-oriented factories (images can be saved)

1. Data collection/speed/mobile/structured data foundation;
2. Build a buyer's question database for " " (converting words to questions);
3. The product page should be divided into three sections: product, technology, and application.
4. Write 20 FAQ answer pages (300–500 words each);
5. Add structured data and distribute across multiple platforms including the official website, Zhihu, and industry media;
6. Monitor cited metrics monthly and iterate accordingly.

Frequently Asked Questions (FAQ)

Q: Can I do these 6 steps if I don't have a content team?

A: Yes. Starting with 20 FAQ answer pages is more effective than piling up product parameters, and one person can write them.

Q: Should I do GEO or SEO first?

A: SEO as a foundation, GEO as incremental growth. For websites with a solid foundation, GEO will run more smoothly; for those without, focus on building a strong content base first.

Q: How long will it take to see it cited by AI?

A: It depends on the quality of the content. If the content is strong, you can see a change in the number of pages cited within 1-2 months; if the content is weak, you should add 3-6 months' worth of content first.

Related reading (in the same series)

• How did GEO seize control of AI search traffic? — Corresponding query: How does GEO seize traffic?
• "How to Determine if GEO is Effective: Monitoring Indicators and 3 Common Misconceptions" — Related Search: How to Interpret GEO Results
• "What is GEO: Should B2B export businesses pursue this in 2026?" — Corresponding query: What is GEO?

*CTMON (CTMON) · Shenzhen · Over a decade of experience in B2B digital marketing · Official website ctmon.com *