Having worked in foreign trade for over a decade, I always thought:
If an official website "looks professional," customers will naturally come.
Until one day, I discovered—
It's not that customers don't visit the official website anymore, but rather that the AI simply doesn't "understand" your website.
Related reading: After 10 years in foreign trade, I've discovered for the first time: customers aren't choosing suppliers from Google, but from AI.
In the second half of last year, I had a video review of our collaboration with a long-time European client.
I asked casually:
"How did you find us in the first place? Through Google keywords?"
He replied to me quite naturally:
"No, I asked ChatGPT who is more reliable in this category."
At that moment, my mind went blank.
My first reaction wasn't surprise, but rather a very real problem:
What if the AI doesn't mention me?
What if it recommends a competitor?
Am I not even qualified to be compared?
More importantly—
I glanced back at my website:
The page design is very professional.
The company introduction is very complete.
The product categories are also very clear.
All the required certificates, images, and downloadable materials are included.
But then I suddenly realized a cruel truth:
👉 This official website is for "humans to see", not for "AI to understand".
In recent years, I've seen too many foreign trade websites, and the problems are remarkably consistent:
"We've spent a lot of money, and the website is pretty good, but we just aren't getting any inquiries."
Especially these two types of bosses:
Hundreds to one or two thousand
Templates within templates
The copywriting relies entirely on translation
The content is extremely thin
turn out:
Humans don't believe it, and AI believes it even less.
In the era of GEO (Generative Engine Optimization), these stations all shared a common fate:
The AI will directly determine it as:
The information is unreliable, lacks professionalism, and has no value for citation.
in other words:
You don't even have a ticket to enter the AI recommendation pool.
This type is actually more common:
The design is very sophisticated.
The animation effects are very cool.
The page looks a lot like a brand's official website.
The company story was told very completely.
But the problem is—
You're thinking from the perspective of "what you want to say," rather than "what the purchasing department is asking."
When AI determines whether an official website is worth recommending, it will not be influenced by the following:
How many years has the company been established?
The boss has a lot of passion
How large is the factory area?
Team building photos are so lively!
AI only cares about one thing:
When a procurement officer raises a "critical decision question," can your website provide a professional, complete, and referable answer?
This is something I only truly understood after repeatedly reflecting on it later.
Tell others:
"who I am"
"what I do"
Do I look reliable?
This was true in the era of Google search .
Helping procurement solve problems:
Are there any risks associated with this product?
Do the technical parameters match the application scenario?
Where are the common pitfalls?
What are the differences between the different options?
Where do suppliers typically encounter problems?
You will discover a key change:
The official website is no longer just a "company business card".
It is not an industry answer database.
AI, in essence, is simply accessing an answer database .

This is the underlying logic I summarized after systematically studying GEO.
AI isn't afraid of having a lot of content.
It fears that you lack logical structure .
Content that AI can more easily understand and reference typically possesses the following characteristics:
Clear question-oriented titles
A clear hierarchical structure (Why / What / How / Risk / Comparison)
Contextualization rather than keyword stuffing
No structure = unable to extract viewpoints by AI.
AI doesn't consider whether you've included keywords.
It is looking at:
Did you "explain" a question completely?
for example:
More than just "product parameters"
Also includes:
Application scenarios
Procurement Misconceptions
industry standards
Comparison of the advantages and disadvantages of different solutions
Whoever speaks the most complete story is more like an "expert".
This is what many foreign trade websites lack most.
AI strongly prefers:
Practical experience
Decision review
Industry lessons
Real-world problem breakdown
Instead of:
Vague promotional slogans
Self-praising description
In short:
AI trusts more "content written by experienced foreign trade professionals".
Instead of "copywriting like a marketing company".
I later came to a conclusion about myself:
If the official website is just a display page, it will eventually become invalid.
| era | Official website characters |
|---|---|
| Search Era | Company business card |
| SEO era | Keyword Carrying Page |
| GEO Era | Industry knowledge nodes + decision-making answer sources |
Most foreign trade enterprises
They are stuck in the first stage, but mistakenly believe that they have already "digitally upgraded".

To be honest, I also took a lot of detours at the beginning.
What truly made me realize the change wasn't changing the template, but rather restructuring the underlying logic of the official website :
From "What do I want to show?"
→ Go to “What is Procurement & AI Asking”.
But what truly impressed me wasn't its "fast website setup," but rather these three points:
I don't need to learn technology or study algorithms.
I only do one thing:
I will share my more than 10 years of foreign trade experience using a question-and-scenario approach.
What AB customers do is:
Please help me with these experiences.
Automatically split into structured content
Form a clear semantic network
It's not helping me with "marketing".
Instead, it helped me organize my cognitive assets .
The previous official website content was:
The product page is the product page
A blog is a blog
Unrelated
Now it becomes:
One question → Multiple answers
One core theme → Supported by multi-dimensional content
Natural cross-referencing between pages
This is very important for AI.
The more obvious change is:
More precise customer consultation
Many issues were already addressed before the quote was provided.
The other party has already tacitly agreed:
"You know your stuff."
AI is also more willing to recommend suppliers that "reduce explanation costs" .
If you were to ask me a honest question right now:
Is it still worthwhile to create an official website now?
My answer is only one sentence:
If you're not going to refactor according to GEO logic, then you might as well not do it at all.
because:
Google is no longer the only entry point.
Customer decision-making is being brought forward to the AI stage.
The mission of the official website has changed.
The truly advantageous foreign trade enterprises of the future will definitely be:
Based on years of industry experience
Transform it into "knowledge assets" that AI can understand, cite, and recommend.
Instead of dwelling on it:
Is the template good-looking?
Are the animation effects cool or not?
Is the homepage "high-end" enough?