Recently, GEO has suddenly become incredibly popular, triggering a surge in GEO concept stocks in both A-shares and Hong Kong stocks! So what exactly is GEO, which has been hotly debated for over a year? What new trends will emerge in GEO in 2026? How can companies quickly implement GEO strategies? This in-depth article will explain everything.
GEO (Generative Engine Optimization) refers to a methodology for optimizing a company's content, structure, and knowledge system around generative AI search and question-answering systems (such as ChatGPT, Gemini, Claude, Perplexity, and Bing Copilot), making it easier for AI to understand, cite, and recommend as an authoritative source . The basic concepts and operating principles of GEO have been explained in detail in a previous article, which you can view here: [ GEO Introduction: Basic Concepts and Operating Principles of Generative Engine Optimization! ]
The core difference from traditional SEO is:
The goal of SEO : to achieve search engine rankings and clicks.
GEO's goal : to become a "directly cited basis for judgment" within the AI's own responses.
In generative search scenarios, AI no longer simply presents 10 links, but directly provides conclusions, solutions, and supplier recommendations .
This means:
Whoever is cited by AI enters the user's "first round of recognition and screening".
This change is particularly critical for foreign trade B2B companies—because overseas procurement decisions themselves heavily rely on "preliminary research, professional judgment, and risk avoidance."

The basic logic of search over the past 20 years has been:
People ask questions → Search engines provide links → People make their own judgments
Between 2024 and 2026, mainstream search and AI systems are undergoing a complete shift:
Human asks a question → AI integrates multiple sources → directly provides a judgment and conclusion
Behind this change are three trends that have been repeatedly verified:
Search engines fully integrate generative AI
Both Google and Bing have introduced AI summary layers into their search results pages, allowing users to get answers without clicking any links.
Zero-click search has become the norm.
User behavior is shifting from "clicking on links" to "trusting AI".
The core capability of AI is not "finding information," but "making judgments on behalf of humans."
Especially in B2B, technology-related, and decision-making issues.
This means:
Traditional SEO is still important, but it is no longer enough to determine "whether you are seen" .
What truly determines exposure is whether AI deems you "worthy of being cited".

Based on publicly available data from multiple industry research institutions and platforms:
By 2026, over 60% of complex information queries will first occur in AI question-answering or AI search environments.
This proportion is even higher in B2B, technology selection, and supplier evaluation scenarios.
in other words:
Even before you appear on the Google homepage, customers have already "seen" or "not seen" you in AI.
Zero clicks do not equal zero value.
In AI-driven scenarios, being "mentioned" itself serves as a form of brand education .
For foreign trade B2B companies:
Buyers repeatedly see a certain brand in the AI.
Even if there's no immediate click, it will be proactively mentioned in subsequent RFQs, emails, and trade show communications.
GEO offers the advantage of pre-screening rather than instant clicks.
AI doesn't care how many keywords you wrote; what it cares about is:
Who are you (is your identity clear and stable)?
What are you doing (is the industry and specific segment clearly defined)?
Do you have verifiable knowledge and experience?
This is what is known as "Entity Authority" .
For businesses, content is no longer fragmented articles, but a consistent corpus of language continuously outputting around a clear entity .
Under the RAG (Retrieval Enhanced Generation) mechanism, AI prefers:
It has a clear structure
It can be broken down into conclusions, lists, comparisons, and summaries.
Content with clearly defined "quotable paragraphs"
This means:
Whether the structure is clear is often more important than how well it is written.
GEO is not some kind of "mysticism".
The industry has gradually formed new measurement dimensions:
AI Citation Count
Brand mention rate in AI responses
Non-click brand exposure
AI → Official Website → Lead Conversion Path
According to calculations by Miaozhen Marketing Academy:
The Chinese GEO market is projected to reach 2.9 billion RMB by 2025.
The global GEO market is worth approximately US$11.2 billion.
By 2030 , the Chinese market is expected to exceed 24 billion RMB , while the global market size will approach 100 billion USD.
This is not a short-term concept, but a new infrastructure-level market that is emerging.
From the perspective of foreign trade B2B, GEO brings not "traffic tricks," but three essential benefits:
AI is now handling 70% of the information screening and solution understanding work before procurement.
Whoever enters the AI cognitive level first will be the first to enter the procurement field.
GEO's value lies in:
Once recognized by AI, the marginal cost is close to zero, but the impact is cumulative in the long term.
The professional skills required for traditional foreign trade often only exist in the minds of sales or engineering personnel.
The essence of GEO is to transform these capabilities into digital assets that AI can understand and disseminate .

Define corporate identity and industry positioning
Use problems to drive content structure, rather than simply piling on products.
Preparing "Citable Conclusion Paragraphs" for AI
Products, solutions, cases, and FAQs all share a unified structure.
Ensure consistent presentation across pages and platforms
LinkedIn / Tech Blog
Industry Q&A Platform
All external content redirects to the official website.
The practical advice can be summed up in one sentence:
Don't treat GEO as "writing content," but as "building a system."
In practice, more and more foreign trade companies are choosing:
The GEO structure is built in during the website construction phase.
Simultaneously complete the underlying adaptation of SEO and GEO.
Evaluate effectiveness using data, not feelings.

AB Guest isn't simply "adding a GEO feature," but rather completing GEO adaptation during the website building and content creation phase :
AI-powered intelligent website building Adapting the underlying structure to search engines and AI recommendation mechanisms
Enterprise Knowledge Base : Unifying brands, products, solutions, and case studies to become the "authoritative source of knowledge" for AI.
GEO Content Structure Standard : Naturally Possesses AI-Citation Capabilities
AI-powered citation monitoring and brand mention tracking : turning GEO into a quantifiable metric, not just a concept.
Website Cluster SEO + Multi-Channel Distribution : Amplifying AI Learning and Retrieval Corpora
Essentially, AB-customer doesn't solve the problem of "Can you do GEO?", but rather:
Make GEO an integral part of the company's growth system, not an additional burden.
After 2026, the real difference will not be "who learns the word GEO first".
Instead:
Whose company has been recognized by AI as a "trustworthy, stable, and recommendable entity"?
This is destined to be a structural opportunity that can be seized by early planning and yield long-term benefits .