How can B2B foreign trade companies conduct a self-assessment of GEO health? A systematic method to determine if you are being recommended by AI.

I. When customers start "asking AI first," the criteria for acquiring customers in foreign trade have changed.

In today's world, where AI search and large language models are gradually replacing traditional search portals,

Foreign trade B2B enterprises are facing a fundamental change:

Customers no longer search for company names using keywords.

Instead, ask the AI ​​directly:

"Who can solve my problem?"

Which supplier is more professional and reliable?

Are there any real-world examples to verify this?

This means that the first hurdle in acquiring customers for foreign trade is...

It has been changed from "whether it was found" to "whether it was found" .

It has been changed to "whether it is understood and recommended by AI" .

What exactly is GEO? How does it differ from SEO? This article, "[ What is GEO? Why is Traditional SEO Inadequate? Explained in One Article! ]", has already explained it in detail, so I won't go into further detail here.

This is precisely why more and more companies are beginning to realize:

• Having a website ≠ having AI cognition

• Having content ≠ having the right to recommend

• Having exposure ≠ being able to enter the candidate list

Before truly implementing GEO (Generative Engine Optimization),

Every foreign trade B2B company should first complete a basic assessment:

How is my current "health" level within the AI ​​system?

II. What is GEO Health? It's not about effort level, but rather "recommendability."

GEO health is not an abstract concept.

It is not a subjective judgment of "whether or not GEO has been done".

It is essentially measuring one thing:

When customers ask AI industry-related questions,

Does your company possess the fundamental qualities necessary for being consistently understood, judged, and recommended?

This set of judgments mainly revolves around six core dimensions:

1. Can AI correctly understand your business positioning?

2. Are the products and solutions "judgeable"?

3. Are customers' real problems being systematically covered?

4. Is the official website still an AI-readable asset?

5. Has it started to be consistently mentioned and recommended by AI?

6. Do content, leads, and sales form a closed loop?

These six dimensions do not determine "whether there are inquiries now".

Instead:

Will you continue to appear in AI's recommendation system in the next 1–3 years?

III. GEO Health Self-Assessment: Breakdown of the Six Module Judgment Logic

The following content is not a simple questionnaire.

Instead, it serves as a structured reference for website visitors to compare and judge for themselves .

Module 1 | Is the Enterprise Correctly Perceived by AI? (Positioning and Boundaries)

The most basic, and most easily overlooked, point:

Can AI explain who you are in a single sentence?

It's not a marketing slogan.

Rather, it is a stable understanding based on facts, capabilities, and boundaries.

You can make this judgment:

• Can AI clearly describe your main business direction and applicable scenarios?

• Do different AI tools understand you consistently?

• Do you often find yourself saying "I'm right about part of it, but the whole thing is unclear"?

Judgment criteria:

• If the AI's understanding of you is "unstable," then the recommendations will definitely be random.

• A vague positioning is equated with "unimportant and unreliable" in the eyes of AI.

Module Two | Can Products and Solutions Be Understood by AI?

The complexity of foreign trade B2B products is not a problem.

The real problem is:

Whether complexity is expressed in a structured way.

You can make this judgment:

• Are the products simply a list of parameters and model numbers?

• Is there a clear distinction between "products" and "solutions"?

• Can AI answer this?
  "Under what circumstances should we choose you?"

Judgment criteria:

• AI is not afraid of complexity, it is only afraid of logical confusion.

• If a product is unreadable, AI will not dare to recommend it.

Module 3 | Are customer issues systematically covered? (GEO Core)

This is the item with the highest weight in GEO health.

because:

The questions asked by the customer

It is never the same as the product copy you write.

You can make this judgment:

• Have you systematically reviewed frequently asked customer questions?

• Does it cover issues at different decision-making stages?

• Does the content read more like an "answer" than an "introduction"?

Judgment criteria:

• Without a problem-solving system, you can only rely on luck to get noticed.

• The core of GEO is to control the path from "problem to answer".

Module Four | Is the official website still labeled "AI-readable assets"?

In the AI ​​era, the role of official websites has changed.

Official websites are no longer just for people to look at.

Instead, it serves as an "authoritative source" for both AI and customers to refer to.

You can make this judgment:

• Does the official website have a clear structure and well-defined hierarchy?

• Is it still just a showcase website?

• Is AI willing to use official website content as a basis for judgment?

Judgment criteria:

• Official website unreadable = Digital asset outage

• No matter how much content there is, without a unified source, AI won't believe it.

Module 5 | Has it started to be consistently mentioned and recommended by AI?

This is the result layer, but not the end point.

You can make this judgment:

• Did the AI ​​proactively mention you in the relevant questions?

• Is the information mentioned accurate?

• Does it possess a certain degree of stability, rather than being sporadic?

Judgment criteria:

• Being mentioned ≠ being recommended

• The true value of GEO lies in its stable emergence.

Module Six | Does the content truly serve the purpose of closing the deal?

This is a crucial factor that many companies overlook, yet it determines ROI.

You can make this judgment:

• Does the content help the sales team explain the issue?

• Can the clues be traced back to their source?

• Can transaction experience be converted into content?

Judgment criteria:

• Content that doesn't help close a deal is just self-indulgence.

• The ultimate goal of GEO is reusable traded assets.

IV. Explanation of GEO Health Score Scoring Logic

In the complete self-testing system, every judgment follows a unified logic:

• Yes = 2 points

• General = 1 point

• No = 0 points

This ultimately results in a GEO health score range of 0–60 points , used for assessment:

• Have they been marginalized by AI?

• Is it in the risk zone of being replaced?

• Does it have a scalable GEO foundation?

The focus of action varies completely depending on the score range.

V. Why are more and more companies choosing systematic GEO solutions?

After completing a basic self-test, companies often realize a real problem:

GEO is not a single-point optimization, but a systems engineering approach.

This is why more and more foreign trade B2B companies are starting to use [this method/method].

AB Customer's GEO Intelligent Customer Acquisition Solution for Foreign Trade B2B

The enterprise's knowledge structure, website functionality, AI recommendations, and transaction loop are all integrated into a unified framework.

Instead of continuing to invest piecemeal and repeatedly try and fail.

VI. Next Step: Obtain the complete GEO health self-assessment form

This article presents the logic and methodology framework for judgment .

Rather than a full-fledged tool that allows for direct input and quantification.

The complete "GEO Health Self-Assessment Form for Foreign Trade B2B Enterprises" will help you:

• Quickly locate the current interval

• Determine the priorities for the next step.

• Avoid continuing to invest in the wrong direction

👉 Register to get the full version of the GEO health self-assessment form

First, understand the current situation, then decide how to plan.

This step is often more important than "taking immediate action".