GEO (Generative Search Optimization) is not a replacement for SEO, but rather a "professional visibility project" for foreign trade B2B in the AI era.
In the B2B foreign trade scenario, GEO's core objective is not ranking and traffic, but rather:
When overseas clients ask professional questions through AI such as ChatGPT, DeepSeek, and Claude, will your company be recommended as a trusted source of solutions?
in other words:
SEO solves the problem of "whether customers can find you when they search for you".
GEO addresses the question of "Will you be mentioned when customers ask about AI?"
The decision-making methods of foreign trade B2B customers have changed:
past:
Google search for keywords → Click on the webpage → Make your own judgment
Now:
Ask AI questions directly → Get structured answers → Then filter suppliers
AI is not dealing with keywords, but with decision-making problems , such as:
Which solution is more suitable for my working conditions?
What are the advantages and disadvantages of different technical approaches?
Given a certain production capacity or budget, what is the best option?
The emergence of GEO is essentially to adapt to the logic of "AI answering questions" rather than the logic of "search engines returning pages".
Myth 1: Talking more to AI and mentioning your brand more will get you recommended.
wrong.
AI dialogue will not enter the model's long-term memory, nor will it affect the training data. Repeatedly mentioning the brand will only reduce the information density of the content.
Myth 2: GEO is simply "writing content for AI".
wrong.
AI prefers to cite well-structured, professional, and verifiable content rather than marketing language.
Myth 3: Keywords are not important, you can just write anything.
wrong.
Keywords remain important, but their role has evolved from "ranking tool" to "semantic anchor".
Myth 4: GEO is a short-term technique
wrong.
GEO is an enterprise-level knowledge asset engineering, not an operational tool.
From a technical perspective:
Large language models do not understand brands
Don't remember marketing language
Do only one thing:
Find the "most suitable professional information snippets to answer the current question" from a vast amount of content.
Therefore, whether AI recommends something to you depends on three key questions:
Are you clearly defined as a certain type of professional role?
Does your content naturally qualify as an "answer" to be cited?
Does your brand have a strong connection to specific industry issues?
Step 1: First, answer the question "Who are you?"
Enterprises must have a clear, stable identity that can be described in a single sentence:
What industry do you belong to? What problems do you solve? Are you a manufacturer, solution provider, or engineer?
Step 2: Upgrade the content from a "page" to a "knowledge block".
The smallest unit in GEO is not an article, but an answer that can be cited independently .
An effective GEO content should naturally include:
Clear problem background
Key constraints (capacity, standards, cost, risk)
Comparison of Optional Solutions
Recommended solutions and applicable boundaries
Practical experience or engineering cases
Step 3: The content structure must be adapted to the "customer's questioning style".
Foreign trade B2B customers are concerned about:
How to choose a model
How to avoid pitfalls
Which approach is more suitable for you than a company self-introduction?
Step 4: Establish a strong association between brand, industry, product, and problem.
GEO is not about "writing a little bit about everything," but rather:
few industries
Deep problems
Strong professional
AI will only dare to make recommendations if you are sufficiently specialized in specific questions.
GEO's success is not:
What is the keyword ranking?
How much website traffic?
Instead:
When industry questions are answered by AI, do you become "one of the default professional sources that can be cited"?
GEO is not about making AI remember you.
Instead, it places you in the list of questions that AI must answer.
AB is a GEO system provider. Through systematic engineering, we professionally and efficiently deploy GEOs for foreign trade B2B enterprises.