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As AI becomes a new gateway for global buyers to access information, what truly matters is no longer "who posts more," but "who is more trustworthy."
As generative search engines such as ChatGPT, Perplexity, and DeepSeek gradually become important entry points for global buyers to obtain information, screen suppliers, and understand industry solutions, GEO (Generative Engine Optimization) has rapidly become one of the hottest keywords in the foreign trade circle.
Many people see GEO as the new "traffic code." But that's precisely where the problem lies: when a concept just becomes popular, the first things to appear in the market are often not methodologies, but speculators.
Some service providers don't truly understand the underlying logic of GEO, nor are they willing to help companies refine their official websites, organize their knowledge, and build brand trust. Instead, they try to harvest the market using another "shortcut": massive data scraping, low-quality pseudo-original content, mass AI generation, exaggerated promises, and fabricated effects . What they want to do is not to make the brand understood by AI, but to make AI temporarily "misjudge" it.
However, this method is not optimization in essence, but a new form of "digital cheating." It overdraws on a company's brand credibility and consumes its future survival space in the AI era.
To sum it up in one sentence: A true GEO is not one who "fooles AI," but one who "makes AI willing to believe in you, understand you, and recommend you."
In the current market, "cheating services" under the GEO name mostly fall into the following three categories.
This is the most common tactic currently. On the surface, it's about "creating content for businesses"; in reality, it's about mass-producing a bunch of illogical, factually unsupported, and professionally worthless AI-generated garbage at extremely low cost.
While this type of content may seem abundant, it is actually empty and repetitive. It often features misleading titles, similar structures, mediocre viewpoints, and even blatant errors in product specifications, industry terminology, and application scenarios. In the short term, it might increase the number of web pages, but in the long run, it will only relegate the company's website to the label of a "low-quality content source."
Many so-called GEO services only care about "whether content can be published", but don't care at all about "whether this content reflects the company's own capabilities".
They don't research what problems the company actually solves, don't analyze real customer scenarios, don't extract industry knowledge, and don't establish a brand methodology. The result is: the content looks plentiful but lacks soul; the pages look cluttered but lack cognitive anchors. Even if AI captures this information, it cannot form a genuine judgment on the company's professionalism, credibility, and differentiated advantages.
Some service providers excel not at optimization, but at crafting compelling sales pitches. They'll claim things like, "100% cited by ChatGPT," "Guaranteed AI recommendation," and "Dominating all AI search results."
Such promises sound tempting, but from a technical standpoint, they don't stand up to scrutiny. Generative engines' responses are influenced by a variety of factors, including semantic understanding, retrieval paths, context, authority assessment, and real-time data retrieval. Any "absolute promise" that is detached from brand strength, content quality, and semantic structure is essentially just sales packaging, not a demonstration of reliable capability.
Many people wonder: Didn't people in the past SEO era also gain traffic by "keyword stuffing, quantity overload, and pseudo-original content"? Why are these methods more dangerous in the GEO era?
Because the core task of an AI engine is not just "finding web pages," but understanding information, organizing information, and judging whether information is worth citing . It's not simply about grabbing keywords, but about building a cognitive map about brands, products, capabilities, and industry relationships.
To reduce illusions, generative engines are increasingly emphasizing verifiable sources of information. Official websites, white papers, case study pages, FAQs, technical documentation, and company identity pages—content with clear subjects and attribution of facts—naturally carry more weight than "cobbled-together articles."
AI is more concerned with: who you are, what problems you solve, your technical capabilities, your relationship with customer scenarios, and how you differ from your competitors. If a website's structure is chaotic and its content is superficial, no matter how many pages it has, it will be difficult for AI to trust it.
In the past, websites tried to cater to search engines; now, AI is constantly improving its ability to identify noise, filter spam, and track genuine sources. That information garbage created for traffic is likely to be the first to be systematically eliminated.
To put it more bluntly: in the AI era, cheating content may fool an index once, but it is difficult to fool long-term semantic understanding and trust judgment.
So, what exactly should a company do to become a truly valuable GEO?
The answer is: stop understanding GEO as some kind of "AI ranking technique," and instead see it as a systematic project centered around brand awareness, knowledge expression, and website sovereignty.
Don't be satisfied with just "writing a few articles." A truly effective GEO is one that breaks down the company's scattered experience, technology, solutions, case studies, Q&A, and knowledge into knowledge units that AI can easily understand and utilize.
For example: Which industries is your product suitable for? What specific problems does it solve? How does it differ from traditional solutions? What metrics are customers most concerned about? What key capabilities are involved in delivery? These should all be clearly expressed, rather than being vaguely buried in a bunch of empty words.
The websites of the future will not only be for humans to see, but also for AI. Businesses need to use clearer page structures, entity relationships, question-and-answer logic, column systems, and structured data to tell AI: Who I am, what I can do, and why I am worthy of being cited.
This means that the official website is no longer just a "showcase", but needs to be upgraded to a brand knowledge hub that can be understood by machines.
AI can accelerate writing, translation, rewriting, and distribution, but it cannot replace a company's own professional judgment. Truly high-quality content always comes from a genuine understanding of customers, the industry, products, and scenarios.
The best approach is not to let AI produce content alone, but rather to have experts provide the logic, perspectives, and experience, and then let AI expand upon this in multiple languages, platforms, and formats. Only in this way can the content be both efficient and credible.
Many companies today are not unaware of the importance of GEO, but they are easily led astray from the very beginning by taking the wrong path.
Some people think GEO is simply about "producing more content"; others think it's about "letting AI collect data"; still others think it's about "manipulating model output through technical means." These understandings are all too superficial.
What we should really be wary of are those solutions that seem low-cost, quick-return, and full of promises. These are the easiest ways for businesses to mistakenly believe they are "embracing AI," when in reality they are creating a bunch of useless pages, useless content, and useless assets.
Once this kind of "digital garbage" becomes the main part of a company's official website, it will not only fail to help the brand be recommended by AI, but may also cause the brand to continuously lose points in future AI searches, semantic references, and trust assessments.
3.15 reminds us to be wary of counterfeit goods, false advertising, and consumer traps. In the AI era, businesses also need to be wary of another, more insidious risk: using "intelligent optimization" as a guise for "digital fraud."
A true GEO is never a one-off speculation, a batch of low-quality content, or a set of black-box promises. Its core is to enable AI to correctly read, accurately understand, and continuously utilize a company's knowledge, capabilities, case studies, professionalism, and brand reputation.
In the future, those who win AI recommendation rights will not be the most opportunistic, but the most trustworthy brands. Rejecting digital garbage and returning to brand building is the true path that B2B GEOs going global should take.
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