In the AI ​​era, how should content be written for foreign trade websites? A GEO content model that I've personally tested and found effective.

If you ask me:

"What's the hardest part about rebuilding the official website now?"

My answer isn't technology, it's not budget, it's—

I don't know how to write content that is truly "useful for AI".

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1. How did we answer customer questions in the past?

If you've been in foreign trade for a long time, you must have this feeling:

For many customer questions, you don't even need to look up information .

for example:

• "Can this product be used in high-temperature environments?"

• "What are the differences between your solution and that of Supplier A?"

• What are the most common pitfalls to encounter with this type of application?

• "With such a large price difference, are there any hidden risks?"

These are the problems we often encounter:

• Reply in email

• Say it via voice message in WhatsApp

• Explaining casually in Zoom

This is the "hidden asset" of foreign trade professionals—verbal experience.

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But the problem is:

These experiences:

• Not recorded by the system

• Not structured

• Not available on the official website

Therefore, the result is:

Customers have heard it, but AI will never have.

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Second, why can't AI see these "verbal experiences" at all?

This is something I only understood after I truly grasped GEO (Generative Engine Optimization).

AI doesn't disregard your experience, but rather—

AI can only understand “written and structured experiences”.

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1️⃣ AI does not participate in the dialogue, but only in "text judgment".

• A customer asks you 10 questions

• No matter how professional your reply is

• If it's not converted into content, it equals 0 from an AI perspective.

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2️⃣ Scattered content ≠ applicable knowledge

Many foreign trade websites also include content, but the problem is:

• One point at a time

• No system

• No context

• No logical connection

The AI's judgment is:

"This is fragmented information, not a complete answer."

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3️⃣ AI needs "reusable models," not improvisational solutions.

AI prefers this type of content:

• Able to answer a class of questions

• It can cover a complete decision-making path.

• Can be cited multiple times

Instead of:

• Single-point technique

• occasional cases

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III. The GEO content model (core structure) that I later used

When I later restructured the website content, I set a principle for myself:

Each item must answer "a key question in the procurement decision-making process".

It wasn't for writing an article, but for—

Enable AI to call upon me in "critical problem scenarios".

We discussed the specifics of how to write it in a previous article , " "GEO Content Creation: How to Create High-Quality Content That Attracts AI and Impresses Clients? , which you can refer to.

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IV. The first step in the GEO practical model: the reverse engineering method for procurement problems (this is the core).

❶ Don't start writing with "What products do I have?"

This is the starting point for the failure of most foreign trade website content.

The starting point for GEO content is always:

What is the most important question a procurement officer wants to ask at any given stage?

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❷ Where do procurement problems come from? (3 most practical sources)

Source 1: Customer issues you've actually encountered

My preferred method:

• Go through all the customer emails from the past year

• List the questions that are asked repeatedly.

• No changes, no embellishments, just the original words.

AI really likes these kinds of questions.

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Source 2: Industry "High-Risk Decision Points"

for example:

• Common reasons for selection failure

• Consequences of application mismatch

• The parameters may seem the same, but the actual differences are huge.

These problems often:

• The customer was too embarrassed to ask.

• But AI will definitely mention it.

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Source 3: The type of question you are best at "explaining"

Think about this question:

You can tell whether a customer is "knowledgeable" just by asking them a question.

This kind of question is extremely valuable in terms of content.

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❸ Write the question as a title that can be understood by AI.

Error example:

Product Technical Introduction

Correct example:

Why do 80% of procurement decisions make the wrong product selection under these working conditions?

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V. GEO Practical Model, Step Two: Industry Knowledge Theme Clusters

This was the watershed moment that I realized later.

The AI ​​doesn't recommend "a specific article," but rather:

"Are you authoritative enough on this topic?"

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1️⃣ What is a "topic cluster"?

Simply put:

• A core theme

• Breaking down multiple issues

• The content is interconnected

For example:

Core topic: Product selection for a specific type

The following can be broken down as follows:

• Differences in application scenarios

• Common Misconceptions

• Parameter understanding

• Cost vs. Risk

• Real failure cases

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2️⃣ Why does AI prefer topic clusters?

Because from AI's perspective:

• Single article content = viewpoint

• Thematic clusters = professional fields

AI is more inclined to recommend "domain-specific information sources".

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3️⃣ Practical suggestions (suitable for beginners)

• Not aiming to finish writing it in one go

• First, identify 1-2 core themes.

• One key question to address each week

• Forming a "problem network"

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VI. GEO Practical Model, Step 3: How to build "semantic connections" between content?

This is the most easily overlooked, but extremely important step for AI .

Previously, when we created content:

• Each one is an island.

• Neither mentioned

• Do not reference each other

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Under the GEO logic, content must "know each other".

You need to do three things:

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1️⃣ Using the same topic to reference each other's "questions"

For example, in article A:

"Regarding this issue, we have discussed the differences in the XX scenario in detail in another article."

This is giving AI directions .

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2️⃣ Use "questions" instead of "keywords" for internal links.

AI understands better:

• "An extension of this issue"

• Instead of "links containing certain keywords"

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3️⃣ Clearly define the hierarchical relationship between content.

For example:

• Introductory questions

• Decision-making problems

• Risk issues

• Comparison problem

From AI's perspective, this is a complete cognitive path .

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7. What is the biggest challenge at the execution level? (And why many people give up)

To be honest, the problem isn't whether you "understand the method," but rather:

Can experience be transformed into content in a long-term and systematic way?

I've personally fallen into three traps:

1. I only wrote a few articles before stopping.

2. The content is becoming increasingly scattered

3. Extremely high maintenance costs

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8. How did I later solve the "difficulty in enforcement"?

For this step, I used tools like AB Customer Intelligent Website Builder as "execution support".

What it truly solved for me wasn't "helping me write content," but rather three things:

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1️⃣ Automatically organize scattered experiences into the content system.

All I need is:

• Provide questions

• Provide key experience points

The system will help me:

• Classification of topics

• Establish association

• Ensure structural uniformity

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2️⃣ Content is naturally compatible with SEO + GEO

I don't need to worry about it:

• How to write a title

• Is the structure reasonable?

• Is it possible that "AI won't understand it"?

Because the underlying logic is:

Content structure designed for AI.

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3️⃣ The content was able to "run smoothly" for the first time, instead of being sustained by people forcing it.

This is the most realistic point.

• Content can be continuously accumulated

• The official website is beginning to exhibit "knowledge density".

• AI recommendation probability significantly improved

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9. If you only remember 3 sentences from this article

I would suggest you remember these three points:

1️⃣ AI doesn't need you to be better at marketing, it just needs you to be better at "explaining the problem clearly".

2️⃣The essence of the content on a foreign trade website is to transform experience into "knowledge that can be cited".

3️⃣ GEO is not a writing technique, but a long-term content organization method.