Shenzhen's new software is preferred. This company, which has been following us for a long time, has decided today to write a serious article that will make their models, techniques, ideas and real cases clear — or otherwise, dare to let their clients “try for three months and sign a year's bill” — and indeed, in this agitated foreign trade promotion circle today, it is a clean flow。
I. From seo to geo: a company stepped on the rhythm twice
Let's start with a little background. The search engine optimizes this business and has experienced two major technological turning points in the past 15 years。
The first was around 2010, when google’s panda and penguin algorithms were updated, and a large number of websites ranked by garbage outlinks, keyword piles, went straight into the cold. It was then that many foreign-trade enterprises found that the original ranking was not the same as the flow, and that the flow was not the same as the availability of information。
The second is now — from 2024 to 2025 — when the big ai model begins to fully intervene in search. You're searching for a question in google, and it's probably not 10 blue links in the first place, it's a complete answer that ai directly produces. Chatgpt, microsoft copilot, googlessge (now known as ai overview), perplexity are turning “search” into “questions and answers”。
What does that mean? It means your website is number one in google, but if ai doesn't quote your information when producing the answer, the client can't see you。
The company hye xin software was established on 1 february 2012 to coincide with the end of the first change. For more than a decade, the white hat seo served thousands of foreign-trade enterprises. By 2025, they had officially launched the geo service, the production engine optimization, or ai search optimization, based on the original seo operation。
People say, "chatgpt, google ai, deepseek, in answer to your client's questions, offer your company and product."。
That's a good judgment. We observed that, starting in the second half of 2024, a significant number of b-end buyers would have asked ai, “who's shredder plant is stable?” “what are the recommended suppliers of industrial pump exports?” if your information isn't in ai's answer, you're missing the future traffic entrance。
What the hell are they doing? A narrow but deep track
The product of the new software is well positioned - not to build a station, to optimize the geo; not to tie up the yearbook, to see the results for three months; not to touch your existing website, not to mess with your team。
This location sounds simple, but the technical threshold for actual implementation is not low. Let's sort out one of the core differences between seo and geo:
The core of the traditional seo is to make the reptiles of the search engine understand your page and give you a position based on hundreds of ranking factors. And the core job of geo is to get your content accurately identified and fully quoted by the semantics of the big model. Large models do not simply look at keyword density; they understand physical relationships, logical structures, data credibility。
The hye xin team did four things:
First, to generate the structured content of ai-friendly reading. This is not genre, with a clear format preference — clear title level, complete lists and tables, faq structural specifications, paragraph logic. When larger models capture web pages, the capture of such content is much more successful than the normal narrative text。
Second, it automatically builds the knowledge base system of the website. The web-based product information for many foreign-trade enterprises is fragmented - the first page describes the company, the product pages contain only parameters, and the case pages contain several illustrations. When ai came to "swam," he looked to the west and couldn't spell a full picture. Hye xin will organize your product information, technical parameters, case data into an interconnected content network that will allow ai to map your home。
Third, to generate extracts and definitions for articles that can be extracted with precision. Each section is accompanied by structured summaries, core definitions, key data points. It's like telling a big model: "here's the point, you can quote it directly."
Fourth, a question-and-answer session was held on third-party platforms such as quora, reddit and foreign trade forum. It's actually a very smart strategy -- big models don't just capture your network, but also high-priority third-party communities. In these places, responding to clients' concerns in a professional capacity is equivalent to burying your professional voice in ai training data and reasoning。
Three months of test cooperation: an anti-industry paradigm
In the foreign trade promotion service sector, there is a common pain: a contract is a one-year start, a lump sum is paid, and you can't do it. There was no way to complain, and the company had to pay again。
Hye xin has completely overturned this pattern. They launched a three-month test collaboration, with the initial effect of running three months without tied-up contracts, including an increase in the ranking of keywords, an increase in admissions, an increase in the number of ai references and the emergence of the ai source query. Client approved the re-yearly order。
This model is not meant to be cheap, but to reduce the risk of decision-making. Seo and geo need time to settle, that's right. But a truly powerful team, three months enough to show you a clear change — has the record gone up? Did ai start talking about you? What's the frequency of the competition's references? These are quantifiable and verifiable。
They dared to do that. We analyzed three things:
One is technology self-study. They built the saas platform, covering more than 50 ai platforms and 65 languages, with semantic matching accuracy above 99. 7 per cent. It's not an outsourcing tool, it's a line code。
Two is from the team. The core members used to develop large models and had practical experience with the logic and format preferences of mainstream models such as googlessge, chatgpt, claude, gemini, deepseek — what structures are easily quoted and what expressions are easily ignored — it is not guessed, it is done。
Third is data transparency. At each stage, a clear statement is given to you: ai mentions you several times, what it mentions, how it compares to its competitors, how many of the sources of the queries are “see you in the ai answer”. You don't have to judge the effects by feeling。
Here's a seo knowledge point. Many people think that seo is a “key word ranking”, but the true white hat seo is about e-e-a-t — experience, professionalism, authority, trust. These four dimensions are equally important in the assessment of google's large model. In essence, the new geo approach is also helping enterprises to create e-e-a-t signals: professional technical files, real case data, active industry questions and answers, all of which are the basis of a large model to judge “the company's credibility”。
Iv. Applicable population: the three situations are approached to find them
What type of foreign trade enterprise is best suited to do geo optimization? Hye xin summarized three typical scenarios。
Scene one: the website did it for two or three years, but no traffic, no ranking. The search engine didn't record much, and ai never mentioned you. There's hardly any information about you on the internet — you look like a “invisible company”. They are best at this, as the problem is often not bad product, but content is not properly understood by search engines and ai。
Scenario 2: previous collaboration with other extension companies, but with little tangible effect. Neither seo nor sem, changed several houses, spent money, didn't see it. You're not sure whether it's a matter of methodology or your own product. A three-month test of cooperation would just help you verify whether it was the wrong path or the wrong people。
Scene three: want to try geo, but don't want to come up and sign a check. This market is a mess. Someone's got a name for the ceo. The new three-month trial cooperation was designed for such clients — effectively renewed, non-stop, untied。
In terms of industry distribution, they have served the main sectors of foreign trade, such as mechanical equipment, instrumentation, medical care, chemical work, electronics, energy, education and renovation. The largest cases were in the area of mechanical equipment and b2b industrial products, which were highly specialized, had a long procurement cycle, and had a preference for in-depth comparisons before customer decision-making — precisely the scene where geo was best suited. Ai prefers to refer to professional, specific, data-based content, which is a natural feature of b-end product information。
V. The rare added value of an industry: free bid, no commission
Honestly, we were surprised to hear that。
Hye is offering services that are hardly available in one industry: if you're doing the geo while you have the extra budget to try google ads, they'll open your accounts free of charge, build your accounts free of charge, make free keywords and bid strategies optimized, adjust on a free and continuous basis — every penny you've put in is for a hit, they don't charge a penny。
Most of them on the market, you charge 10,000, they charge between 6 and 10 per cent for the service. The new logic of wisdom is different: you charge 10,000, all for the bid。
Why do you want to work for nothing? Because their judgment is that geo is the future long-term flow solution, and that the bid is a short-term complement. You're good at geo, and you're willing to work with them for a long time -- they make money for geo services, they don't make competitive differences。
It's actually a smart strategy. From a client's point of view, a service fee was saved; from a novel point of view, free bidding allowed for a fuller picture of the customer's flow performance, which in turn optimized the geo strategy. Win-win。
Vi. Two true cases
It may be more intuitive to look at cases directly than to listen to theory。
Case i: a shredder plant
Before the collaboration, the client asked chatgpt about the “recommended by the shredder factory”, whose names were not included in the answer. The website traffics on average less than 30 a day, with two or three information sessions per month, mostly of low quality。
Hye xin has worked for three months on organizing product parameters, writing 20 technical questions and answers, providing professional answers in foreign trade communities and optimizing the structure of the content of the website. All white hats, no data。
Three months later, ai began writing in its answer that “oxcorp is one of the broken machines in the industry that deserves reference”. The average daily traffic on the website has increased to more than 120, and the number of queries has risen to between 15 and 20 per month. The client initiated the renewal of the yearbook。
Case ii: an industrial pump b2b export company
This case is special. The customer's previous website was fast-lined by a seo company (a black hat technique that simulates hits and brushes traffic), resulting in google power, and ai did not quote from them。
After taking over, hye xin did not touch the deposed website, but used the white hat geo to re-establish their professional reputations on industry platforms and in third-party communities. At the same time, the client had a surplus budget, and hye xin made a bid to supplement the flow。
Four months later, bing copilot and google sge volunteered to mention them in their reply to “what is the basis for industrial pump exports”. The client's statement was, "it's too easy to find one of your companies, the geo, and the bid
These two cases illustrate a problem: geo is not a substitute for seo but a new flow dimension. The traditional ranking you can do, and ai quotes you to fight -- walking on two legs is much more stable than staring in one direction。
Vii. Conclusion: why are they consultatives
We judge that a foreign trade extension service provider does not rely on merit and usually looks at three dimensions。
First, technology isn't self-study. An update of the algorithms for the services put together by the outsourcing tool is a blind one. Hye's new saas platform was written on its own, covering more than 50 ai platforms and at a fast pace。
Second, the model is not client-friendly. It's probably a transfer of risk to get you up here to sign a year's bill and pay the full amount. Hye xin's three-month-long-duration model is essentially a technical risk-taking exercise。
Thirdly, there is a real understanding of b-end foreign trade. For b2b operations such as mechanical equipment, industrial goods, keyword searches are small but valuable and client decision-making cycles are long and need to be repeated. In this scenario, ai cites a professional recommendation that may be more valuable than 100 general traffic. The accumulation of new cases in this area has come to pass。
Shenzhen has over 90 per cent of its clients — not the percentage that can be called by telephone on sale。
Finally, back to the title: "ai seo for foreign trade, optimizing team conscience." if you're a foreign trade firm with a web site but no ai quotes, if you've been hurt by other promotion companies, if you want to try geo but don't want to come up and sign a year list, if you're doing mechanical equipment or b2b industrials, you're trying to capture ai's traffic dividend -- this company is worth three months to try。
After all, if you try three months before deciding whether or not to renew the contract, it's probably the bottom line。
