Why are independent e-commerce websites increasingly struggling to generate inquiries? Because you're lacking GEO (Geometric Orientation).

Why are independent e-commerce websites finding it increasingly difficult to generate inquiries? Because you're lacking GEO (Geometric Orientation).

You may have done SEO, invested in advertising, and been updating your website, but inquiries are still declining. The core reason is often not "you're not working hard enough," but rather that traffic sources have changed, customer decision-making paths have changed, and credibility mechanisms have changed —as AI search gradually becomes the "primary entry point," independent websites without GEO (Generative Engine Optimization) find it difficult to enter the customer's field of vision, let alone make it onto the "recommended" candidate list.

Don't rush to change your website: You need to first understand the new path leading to fewer inquiries.

Previously, the classic path for independent e-commerce websites was: Google search → Click on the website → Browse the page → Send an inquiry . In this process, the website bore the brunt of the tasks of "explaining the product, educating customers, and building trust."

More and more buyers are now following this process: ask a question → AI summarizes and compares → provides recommendations/candidates → then verify on a few more websites . You will clearly feel that: website traffic may still be there, but inquiries are decreasing drastically, and the remaining inquiries are even more demanding, have stronger bargaining power, and take longer to process.

So the issue isn't whether you "create content," but whether your content can enter the AI's "evidence base" and "citation chain." This is precisely what GEO aims to solve: enabling AI to treat you as a trusted source and recommendation when answering customer questions.

Four structural changes leading to a decline in inquiries on independent foreign trade websites (Have you fallen victim to these?)

1) Shift in traffic sources: from "search engines" to "generative answers"

In the past, you optimized keyword rankings; now, you need to be "understood and referenced" by AI. AI tools will summarize, categorize, and compare information, and even directly provide "recommended suppliers." If your brand and product information is absent from external sources, it will be difficult for AI to include you in its candidates.

2) Proactive decision-making: Customers have already "done their homework" before even entering your website.

Your website is no longer a "learning ground from 0 to 1," but more like a "verification ground from 1 to 100." Buyers typically come to your website with specific questions: Do the parameters match? Are the case studies genuine? Are the delivery time and certifications reliable? If the page remains a generic company introduction and product list, customers will leave within seconds.

3) Changes in recommendation mechanism: Ranking does not equal selection; credibility is the primary screening criterion.

In AI responses, "credibility" often comes from cross-validation: consistency across multiple sources, complete information details, professional and verifiable expression, and clear brand identity. Even if your SEO ranking is good, if there is a lack of third-party endorsement, verifiable technical documentation, and case studies, AI may be more inclined to recommend competitors with more complete information.

4) Changes in how trust is built: Customers no longer screen customers themselves; AI helps them with pre-screening.

Previously, you relied on your official website to "convince" customers; now, you need to pass AI's "approval" first. This is also the most frustrating aspect for many companies: their products are clearly not bad, but their "presence is getting lower and lower." GEO's underlying goal is to turn your advantages into "structured facts" that AI can cite, verify, and repeat.

SEO vs. GEO: What exactly should you optimize? (Explained in one table)

Important reminder: GEO is not just "changing keywords for SEO," but rather transforming your brand and expertise into "trustworthy knowledge assets" that AI can reuse. When clients ask, "Which company is right for me?", you need to be included in the answer.

How ABke GEO works: Turning "content" into an AI-enabled customer acquisition system.

Truly effective GEOs (Generational Experts) are not about "writing more articles," but about building a reusable content structure and a trusted online presence based on buyer questions. Using the ABke GEO methodology, you can rebuild your customer acquisition capabilities across five levels:

1) Shift from "keyword-based thinking" to "problem- and scenario-based thinking"

AI-powered search and summarization prefer a "question-answer" organizational structure. It's recommended to break down the content system into three categories of frequently asked buyer questions: selection questions (how to choose a model, comparison of differences), application questions (applicable scenarios, failure cases), and technical questions (parameters, standards, certifications, testing methods). These questions often directly determine whether a product makes it onto the candidate list.

2) Establish a "problem-based content system": Make it easy for AI to cite your content.

It is recommended to cover at least 30–60 high-intent questions for each core product category (reference range, which can be adjusted according to industry). Each article should ideally include: conclusions at the beginning, parameter/standard tables, comparison points, applicable boundaries, FAQs, and links to verifiable evidence . This will significantly increase the probability of being summarized and cited by AI.

3) Building a "comprehensive network of information sources": making AI more willing to trust you.

Relying solely on the official website is insufficient to establish adequate "external credibility." It is recommended to simultaneously build diverse sources of information, such as: industry media articles, authoritative directories/association pages, company profiles on vertical platforms, professional answers from Q&A communities, and technical white papers/download centers. AI is more likely to believe "consistent facts from multiple sources."

4) Strengthen your "digital personality": Let AI know who you are and what you are good at.

You need to ensure your "brand identity" is consistent across the entire internet: company full name/abbreviation, main business scope, core processes/equipment, certification capabilities, service areas, delivery capabilities, and typical customer types. It's recommended to unify this description on your official website and external platforms, and naturally repeat key facts in technical articles to help AI form a stable profile.

5) Optimize conversion rates: AI-driven visits are more expensive, more precise, and more discerning.

When customers arrive via AI, they typically expect you to "give them the answer directly." It's recommended that your landing page: show key conclusions within 3 seconds , display comparisons/parameters on a single screen , provide a clear communication path (WhatsApp/email/form/RFQ template), and guide customers to complete information such as "specifications, quantity, application scenarios, certification requirements, and delivery time" in the form to reduce unnecessary back-and-forth interactions.

A more realistic case: Why is "traffic stable" but "inquiries declining"?

A foreign trade manufacturing company (B2B non-standard/semi-customized products) encountered a typical predicament in 2023-2024: organic traffic remained relatively stable, but the number of inquiries declined year by year, and the proportion of valid inquiries decreased. Upon review, it was discovered that customers had already completed "supplier pre-screening" using AI tools before contacting them, and the company was almost never mentioned in the AI's responses.

These companies share a common thread: their products and websites are not bad, but they lack a way to organize evidence that "earns AI's trust and willingness to recommend them." When GEO does it right, it often moves from being "forgotten" to being "mentioned, compared, and recommended."

You might also ask: How long will GEO take? How do you determine if the clues come from AI?

Will GEO completely replace SEO?

No. A more accurate statement is: SEO remains the infrastructure, while GEO is the new growth interface . SEO addresses visibility and indexing, while GEO addresses the competition for prominent positions in generated answers. Only by combining both can we get closer to the reality of customer acquisition in the future.

How can we determine if a customer is from AI?

In practice, three types of signals can be used (for reference):
① The inquiry wording contains "AI-style summaries": for example, directly listing comparison points or asking you to verify a certain conclusion;
② The visit path presents "short visit + high conversion": customers skip a large number of introductory pages and go directly to the specifications/cases/inquiry pages;
③ There is an increase in searches for brand keywords and combinations of "product + brand" (customers are first influenced by AI to discover products, and then they search for you to verify their interest).

Does the website need to be refactored?

In most cases, a complete overhaul isn't necessary. A more common and cost-effective approach is to first perform a "structured rewrite" of the core category pages, core issue pages, and case/evidence pages , and then gradually build an issue database and external sources of information. This allows the website to first gain the ability to be "verified," and then expand its reach.

Want AI to recommend your services in answer suggestions? Turn GEO into a "replicable customer acquisition capability".

If your website traffic is still there, but inquiries are decreasing, it's often not because the content is insufficient, but because it hasn't entered the AI ​​recommendation system . The value of ABke GEO lies in its practical methods that connect "content, source of information, trust, and conversion" into a complete chain, allowing you to continuously obtain high-quality inquiries in the AI ​​search era.

Some growth cannot be achieved simply by "publishing more articles or running more ads." The customer's decision-making chain has shifted, and what you need to do is secure a place for yourself within this new process, ensuring that buyers quickly gain a sense of certainty when verifying your claims.