---
title: "What AI Amplifies Is Not Your Marketing Efficiency, but Your Existing Chaos"
author: "Unique Research"
sourcePublication: "Unique Research Substack"
originalPublishedAt: "2026-06-04T11:55:15+00:00"
canonical: "https://ffcap.cn/en/research/src-20260604-02html"
source: "https://uniqueresearch.substack.com/p/src-20260604-02html"
language: "en"
---

# What AI Amplifies Is Not Your Marketing Efficiency, but Your Existing Chaos

_Original · Unique Research · 2026-06-04_

_Editor's note: The first-person report and its judgments belong to the original Chinese author. This English rendition retains the opening essay, full panel, all named speaking turns and the 10-question rapid-fire Q&A. Traffic, conversion, budget and market figures are source or speaker claims, not independently audited findings. Company, personal and work titles are transliterated where official English forms remain unverified. The source is dated June 4, 2026._

AI Industry Observer

What AI Amplifies Is Not Efficiency, but Your Chaos

Traffic Is Being Reshuffled by AI, but You Are Not Doing Nearly Enough

"

In 2026, traffic conversion rates from AI search sources are more than 40% higher than from traditional search. Overseas Gen Z, when looking up information, comparing prices or reading guides, first choose ChatGPT and TikTok—not Google's blue links.

The foundation of traffic is indeed loosening.

At a roundtable on overseas brands, three guests respectively work in influencer marketing (Wang Jiancong, co-founder of AhaCreator), independent-site building (Chen Erhang, senior vice president of Yixuan Technology) and content asset management (Wu Yizhao, founder of Youyoutu Technology). They spent an hour reaching a highly consistent diagnosis: your traffic is being reshuffled by AI, and you are not doing nearly enough.

Then each prescribed their own medicine.

This kind of routine has a name in the industry: diagnostic marketing—first collectively prove you are sick, then each shows their prowess selling you medicine.

This article will not help them sell medicine. The only thing I want to do is take their prescriptions and go line by line, distinguishing what is true from what is business.

01\. Triage: Whose Traffic Is Actually Being Reshuffled

The three guests stand at different positions in the overseas marketing chain, and the changes they see are different. Put together, the picture is more complete than any single person's judgment.

What Wang Jiancong sees: money is sinking downward.

After years of doing overseas influencer marketing, he has observed a clear shift: advertisers are using AI to push down influencer unit prices, dispersing budgets from top-tier accounts to mid- and long-tail, even micro-influencers. In the past everyone knew that spreading US$2 million among small influencers would probably be better than blowing it on one top account, but no one really verified it because the labor cost did not add up. Today with AI, you can scan all the content of two to three hundred bloggers in a day and automatically judge fit—mid- and long-tail strategies are finally feasible.

He said: "In the past you might look at two or three pieces of content per blogger and make a superficial judgment; today AI can directly read all of a blogger's content, see how every piece's traffic performance has grown over the past year, and even judge which pieces helped them gain followers."

What Chen Erhang sees: the entry point is migrating.

After more than a decade in foreign-trade independent sites, he has lived through the search-engine era, the social-media era, the video era, and now it is AI's turn. The most direct change this year is that generative engines have begun taking traffic away from traditional search. He emphasized that this is not driven by platform technology—the root cause is that user behavior has changed: people are using ChatGPT instead of Google to ask questions.

He defines the relationship between GEO and SEO as continuation rather than replacement: "You can hardly imagine a company running an independent site saying it only does GEO and not SEO." But he admitted that content emphasis must be adjusted. In the past, in the search-engine era, product parameters were most important; in the AI era, the weight of enterprise qualifications, case studies and structured data is rising.

What Wu Yizhao sees: channels have overflowed, but capabilities have not kept up.

After serving nearly a thousand brand clients in two years, his observation is direct: merchants do not lack channels. TikTok, Meta, Amazon, plus newly emerging AI platforms—the choices are so many they cause anxiety. But what most merchants lack is the ability to articulate the same product clearly across different channels and different languages.

He gave an extremely precise picture: "pulsating performance. Today traffic is great, tomorrow it drops." Because they have never built up a standard set of content assets and workflows.

The three people are talking about three cross-sections of the same thing. AI has pressed the threshold of content production to the floor, while simultaneously lifting the complexity of content distribution to the ceiling. More channels, more tools, but capabilities have not kept up. The harder you work, the more chaotic it gets.

02\. Prescriptions: The Hidden Agendas of Three Service Providers

Having written this far, I have to lay my cards on the table.

What the three guests at this roundtable said all makes sense, but their advice comes with built-in filters. Wang Jiancong runs an influencer marketing platform, Chen Erhang sells independent-site services, Wu Yizhao makes content asset management tools. Each person's solution happens to point to their own product.

This is not to say they are deceiving people. It is the structural bias of all service-provider roundtables: when you hold a hammer, everything looks like a nail.

What I want to do is help you take each person's viewpoint apart: what is worth listening to, and what is just worth hearing.

The Influencer-Marketing Filter

Wang Jiancong says: companies that have already built their brands do not have traffic anxiety. The anxious ones are those who in the past only did growth and did not build a brand. Overseas brands should first find small influencers to validate product acceptance in the local market; the early goal is not growth, but validating PMF.

He cited Volvo as an example: mention Volvo and you think of safety—it does not need AI, it does not need to hijack any new traffic. Once brand mindshare is established, it is a natural traffic moat. This judgment is fine.

What needs a question mark is the second half. He says the mid- and long-tail influencer strategy is now feasible because AI has lowered screening costs. This only tells half the story. AI indeed makes finding influencers cheaper, but at the same time, overseas influencers' inboxes are also stuffed with AI-generated junk outreach emails. When all brands are using AI to find small influencers, the small influencers' attention becomes the new scarce resource.

The more realistic problem: 90% of small and medium overseas brands doing mid- and long-tail influencer promotion lose money in the early stage. Before supply chain and independent-site conversion are worked out, the so-called influencer network is essentially just sending free samples to overseas bloggers.

The Independent-Site Filter

Chen Erhang says: if basic technical work is not done well, advertising spend is wasted. Enterprises should upgrade their independent-site content according to AI specifications, strengthen structured data, and focus on displaying qualifications and case studies. The moderator helped him make a precise summary: independent sites used to be for humans to read; now they need to be changed to be for AI to read.

SEO and GEO are a continuation relationship, not a replacement relationship, and no matter how channels change, content quality is always the foundation. This judgment is solid. He mentioned that channels mutually promote each other—doing social media helps SEO, and doing GEO also feeds back into search rankings—and this whole-network coordination logic does hold.

What needs a question mark is attribution. He says advertising spend is wasted because the foundation is not done well. True, but only half true. The fundamental reason many foreign-trade enterprises' advertising spend goes down the drain is not that the site structure is not AI-friendly enough, but that the product itself is not competitive in overseas markets. If an independent site's conversion rate is only 0.5%, no amount of perfect structured data will save it.

Attributing the problem to technical foundation rather than product competitiveness is a classic talking point of independent-site service providers.

The Content-Asset Filter

Wu Yizhao says: AI is an amplifier. If you have not built a content asset library, if you have not clearly defined the product's brief, pain points, audience and ad slots, what AI amplifies is not efficiency, but chaos. He has observed that a large number of merchants use AI to frantically produce materials, ultimately only accelerating internal friction.

"AI amplifies your chaos"—this is the most insightful sentence of the entire roundtable. He points out a counterintuitive fact: the lower the cost of content production, the higher the requirement for content management capability. Producing blindly without standards and frameworks results in pulsating performance.

Do not be intimidated by concepts like "content asset library" or "material middle platform," thinking this is something only big companies can afford.

Today, whether you are a brand doing millions, tens of millions or hundreds of millions a year, as long as you are doing social media marketing on Douyin, TikTok, Meta and so on, you should build your own material management system as early as possible.

It does not have to be an expensive, complex system. Essentially, it is about accumulating materials so that excellent content can be reused, retrieved and analyzed, so that every ad placement and creation forms an asset rather than being discarded after use. Merchants of different sizes build it differently, but material asset management itself should not be absent.

One sentence to wrap up these three prescriptions: the three service providers, starting from their own interests, have given logically self-consistent solutions. But for the overseas brand owner, you do not need to take all three medicines—you must first figure out which stage you are actually at.

03\. Affordable Alternative: A Tomorrow-Actionable Version for a 50K Monthly Budget

The advice from the three guests above shares a common problem: it all sounds right, but doing it is deadly.

Building a content asset library, doing whole-network GEO structured layout, running massive small-influencer A/B tests. Pushing all three things at once requires manpower, tools and cognitive thresholds no lower than "not using AI." And the assumed profile throughout the roundtable is "small and medium enterprises with not much budget."

Very contradictory.

If you are an overseas brand with a monthly marketing budget of 50,000 yuan, there are only three actions you can actually execute tomorrow and see results from. Cut everything else.

Action One: 2 Hours to Organize Your Asset Library (Cost: 0 yuan)

Do not buy a system. Open your Google Drive or NAS, spend 2 hours doing one thing: find the 3 videos with the highest conversion rates from the past, and break them down into an Excel spreadsheet. For each video, record three things: how the golden 3-second opening was shot, how the pain point was presented, and where the call to action was placed.

This spreadsheet is your content asset model. Next time you shoot new material, follow this framework.

Action Two: 5 Outreach Emails to Find 5 True-Fan Bloggers (Cost: Sample Cost Only)

Do not use any AI influencer-matching system. Have your operations person open ChatGPT tomorrow and write 3 to 5 extremely human-like outreach emails with absolutely no AI flavor. Then go to Instagram or YouTube, search your product category keywords, and find 5 vertical bloggers with 2,000 to 5,000 followers. Do not pay money—just send free samples and ask for one honest usage video.

Bring that video back as ad material; it works better than anything batch-generated by a mixed-editing tool.

Action Three: Write an FAQ Page (Cost: 0 yuan)

Do not hire a service provider to overhaul your website. Tomorrow open ChatGPT, input your industry keywords, and have it scrape the 10 pain-point questions that overseas users ask most frequently on Quora and Reddit. Then write an FAQ page that is as dry as can be: include specific parameters, real usage scenarios, zero PR fluff. Put it on your independent site.

Why does it work? What large models love to crawl is clearly structured Q&A pairs. You do not need to understand JSON-LD; a well-formatted FAQ page is already the most basic SEO action.

Remember one principle: at the 50K monthly budget stage, do not touch any plan containing words like "whole-network layout," "systematization" or "organizational collaboration." Copy a competitor's viral video structure, write a few sincere outreach emails, make an FAQ page. Survive first, then talk about systems.

04\. GEO: SEO in 2000, or Web3 in 2022?

Throughout the roundtable, GEO was mentioned repeatedly, but not a single guest produced hard ROI data.

Chen Erhang says GEO has brought clients "a certain proportion" of traffic growth. Wang Jiancong says GEO has high weight in crawling information on social media. Wu Yizhao says content should be made understandable to machines and recognizable to algorithms.

But what specific proportion? How high is the weight? What about conversion rates? No one gives numbers.

This is not because they are hiding something—it is because there is genuinely no reliable data right now.

GEO is in an awkward wild-west period. Perplexity, SearchGPT, Google AI Overviews—their recommendation algorithms update almost every two weeks. Globally there is currently no mature GEO attribution tool like Google Analytics. The "certain proportion growth" in Chen Erhang's mouth is probably a rough estimate made through specific discount codes or traffic-source keywords.

So will GEO be the next Web3 marketing?

No.

The reason is simple. Web3 marketing was forcibly creating a demand that did not exist—buying land in the metaverse, buying virtual skins—users were simply not in that scenario. But the user-behavior migration behind GEO is real and irreversible. A large number of young overseas users, when looking up information, comparing prices or reading guides, already first choose ChatGPT, Claude and TikTok, not Google's blue links.

GEO is more like SEO just emerging in 2000. Back then no one knew exactly how Google's algorithm ranked, there were no mature analytics tools, and a bunch of service providers were selling "guaranteed first-page ranking" scams. But search engine optimization itself was real, because users were actually using search engines.

Same logic: users are actually using AI search, so the direction of GEO is fine.

But.

Investing heavily in GEO right now is going to be cannon fodder.

The correct posture is to do it as a side benefit: when you are doing traditional SEO, use more Q&A structures in your content, do more structured annotation of product data, make it easy for large-model crawlers to read. These actions do not require spending a separate penny for GEO.

Anyone who now sells you a GEO service or software promising "guaranteed ChatGPT recommendation placement"—block them directly. In a phase where algorithms change every two weeks, any guarantee of recommendation is a scam.

Epilogue

Looking back at this roundtable, what the three service providers said was not wrong. Wang Jiancong's judgment about brand moats is clear-headed, Chen Erhang's positioning of the SEO-GEO relationship is pragmatic, and Wu Yizhao's insight about AI amplifying chaos is sharp.

But you do not need to take all three medicines at once.

The capability overseas brands most need to build in the AI era is not learning to use AI to do more things, but distinguishing which things are worth letting AI do, which things only humans can do, and which things do not need to be done at all.

Wu Yizhao himself said it: "Let AI do the repetitive things; let humans do the important things."

More Details from the Conversation

Guests:

AhaCreator Co-founder — Wang Jiancong

Yixuan Technology Senior Vice President — Chen Erhang

Youyoutu Technology Founder & CEO — Wu Yizhao

Moderator: OpenClaw Asia Initiator — Bruce

I. Opening: Self-Introductions and Recent Traffic Cases

Bruce: First, please each take three minutes to introduce yourselves. Also, today's theme is "Traffic Reshuffle: How Overseas Brands Can Hijack New Traffic in the Large-Model Era"—please each share a traffic case you have personally operated in the past three months.

I will go first: I am Bruce, the lead of OpenClaw Asia. We held Asia's first offline event in Hong Kong, and Fu Sheng also attended. Recently we have been building a community around OpenClaw and Agent implementation.

Regarding the traffic case: in early March this year, when Tencent did its installation, I wrote a tweet on X (Twitter) based on this hot topic, which successfully caught the attention of OpenClaw founder Peter and was retweeted by him. I have been on Twitter for 10 years, and that tweet ultimately garnered 170,000 impressions and follows. That is one case. Everyone can use this standard.

Wang Jiancong: Hello everyone, I am Wang Jiancong from AhaCreator. Our company focuses on automation for overseas influencer marketing. Frankly, I myself have not actually operated such a case, but our clients are all trying to operate in the AI era. The guests who spoke on the previous stage were all my clients, and I have seen a lot of firsthand experience from them.

Chen Erhang: Hello everyone, I am Chen Erhang from Yixuan Technology. Our company mainly provides independent-site going-overseas services for Chinese foreign-trade enterprises, dedicated to building a foreign-trade independent-site ecosystem.

Speaking of cases, after this wave of AI enthusiasm rose, the most direct impact on us was: how to help foreign-trade enterprises obtain traffic in new AI platforms or generative search engines (GEO). In response to this trend, we upgraded our independent-site system and marketing system several times, mainly doing targeted optimization in content structuring and enterprise content marketing. Currently, the traffic brought by generative search engines to clients is continuously growing and has already accounted for a certain proportion. This fits the major trend and is also a key development direction for the entire overseas marketing field for some time to come.

Wu Yizhao: Hello everyone, my name is Wu Yizhao, founder of Youyoutu Technology. Youyoutu has grown rapidly in the past two years, helping nearly a thousand brand companies achieve content asset appreciation.

In one sentence, what Youyoutu does: in the process of doing short-video marketing, merchants generate massive amounts of material and media assets, and need to distribute them to various platforms. Youyoutu helps these social-media and short-video e-commerce merchants do a good job of the underlying "content asset" precipitation, appreciation and reuse. We are connected to all advertising platforms, and these assets, unlike dead data stored on a NAS or cloud drive, carry advertising performance data. We can help merchants identify asset quality and let high-quality assets generate greater compound returns.

II. Core Discussion: The Most Obvious Generational Change in Overseas Traffic Compared to a Year Ago

Bruce: Let us get into the theme. Compared to a year ago, among the clients you serve, what is the most obvious traffic change? Please share more cases. Starting with Teacher Wu.

Wu Yizhao: The biggest change in client cases is: merchants today actually do not lack channels—they lack expression.

In the past, when mentioning overseas traffic, everyone thought of nothing more than TikTok, Meta, Amazon. But in the past year or two, channels have multiplied, and more people have entered to compete. What merchants are most anxious about is: how to run ads in a trained manner? For example, in what form should this material be placed on which platform? How should platform data feed back into decisions? In the past everyone was "buying channels"; now that channels are rolled out, everyone is competing on "post-link management." This is a relatively anxious point in social-media competition.

Chen Erhang: From a longitudinal historical perspective, there are indeed many overseas channels. We have lived through the search-engine era, the social-media era, the video era, and now we have arrived at the AI era. Every channel has value for enterprises, and enterprises need to do whole-network coverage.

Because there is a pattern among channels: they mutually promote each other. Even if you focus on search engines, you also need to do social media and GEO (generative engine optimization). Because now any channel's weight judgment of an independent site is evaluated across the whole network. So the strategy is: have a main direction, but also whole-network coordination. The biggest change this year is that AI generative engines have taken a certain proportion from the overall traffic pie.

Bruce: Are you referring to Meta and other platforms' improved ad performance due to AI optimization engines, or changes brought by generative content?

Chen Erhang: The root cause is still changes in user behavior. In the past, when people encountered problems they used search engines; now traffic is starting to shift to generative engines (such as ChatGPT, Perplexity).

Bruce: Understood, we will discuss GEO in detail later. Teacher Wang, what is your view?

Wang Jiancong: In the social-media influencer field where we are, we can clearly feel that advertisers are trying to push down influencers' unit prices, leaning more toward collaborating with more mid- and long-tail, even micro-UGC bloggers.

There are two reasons: first, with AI productivity tools, whether doing content or execution, efficiency is higher than before, and they have the energy to manage more bloggers; second, with AI, discovering small influencers has become more convenient. In the past people guessed that "spreading US$2 million among a large number of small influencers might work better than blowing it on one top account," but no one could verify it—today this has been verified. This is also related to GEO, because when generative engines crawl information on major social media, they give very high weight to these vertical small accounts. We see more and more clients directing increasingly dispersed budgets to more and more influencers.

III. Deep Debate: Where Exactly Is the "Traffic Anxiety" of Overseas Brands?

Bruce: Traffic is every boss's biggest anxiety. Is the current anxiety of overseas brands because traffic is getting more expensive, user behavior has changed, channels have failed, or because content conversion and data closed loops have not kept up?

Wang Jiancong: I feel that truly high-quality brands actually do not have traffic anxiety. Once a brand is built, just adapt to the new traffic gameplay.

Bruce: Can you give an example?

Wang Jiancong: For example, Volvo. What do you think of when you mention it? "Safety." It does not need AI, it does not need traffic hijacking, its market share is right there, it will not be anxious.

Many anxious merchants, essentially, because in the past they put too little effort into "building a brand." They were not doing branding in the past—they were only doing "growth." After growth hits a certain bottleneck, product pricing power cannot go up, there is no customer loyalty, and traffic anxiety erupts all at once. For a single brand, the bigger your brand, the lower your customer acquisition cost. Those who feel traffic is too expensive to sustain are because the brand has not been built, pricing power has not gone up, and they are submerged by the water line. My advice is to consciously do more traffic with "compounding value."

Bruce: Teacher Chen, from the perspective of independent-site e-commerce, where is the client's anxiety?

Chen Erhang: Anxiety has always existed, because every industry is competing. The price of effective high-quality traffic keeps rising, and for small and medium enterprises focused on ROI, the most direct cost increase is the source of anxiety.

Another is that the industry changes too fast, facing huge uncertainty. Now search engines, now video marketing, now AI again. Enterprises will feel that new concepts keep coming out and new channels need to be learned? This uncertainty brings a lot of pressure.

Wu Yizhao: I disagree. I think brands are the most anxious. Traditional car companies are the most anxious right now, because new energy new forces have emerged.

Traffic anxiety comes from: many bosses have not figured out the rules, or the rules change every day. Today you feel the base is fine, tomorrow volume suddenly drops, and after dropping you do not know what to do. Traffic is an infinite shelf, an open field. Something you did very well today is made public tomorrow, and others immediately follow. We inevitably have to run faster.

IV. Practical Breakdown: Content Inflation, GEO Transformation and AI Influencer Matrix

1\. Under Content Inflation, How to Build "Content Assets" Recognizable by Both AI and Users?

Bruce: AI has caused a sharp drop in content production costs, leading to content inflation. If brands want to hijack new traffic, should they first desperately produce content, or first build the brand's standards? What kind of content assets can be continuously recognized by platforms and future AI models?

Wu Yizhao:

This is a good question. Now everyone is desperately using AI to generate materials, but it must be clear: AI is an amplifier. If you have not done a good job of "content asset" precipitation and built an asset library model, what AI amplifies will only be chaos, not efficiency.

I definitely recommend building a standard asset library first. What is the product's Brief? What are the pain points? Who is the audience? When generating content, be clear about which slot it fills. Without an asset library, what you produce will only accelerate internal friction, leading to "pulsating performance"—today traffic is good, tomorrow it plummets, unable to sustain growth. With an asset library, then enjoy the dividends AI brings. Now many lighting effects that previously required building sets and stages can be completely replaced by AI and even surpass humans.

2\. How Can B2B Foreign-Trade Enterprises Use GEO as an Extension of SEO?

Bruce: B2B foreign trade used to rely heavily on search, independent sites and inquiries. Now AI search Q&A (GEO) has emerged. If foreign-trade enterprises want to be considered reliable suppliers by AI, what kind of content should they prepare?

Chen Erhang: The conclusion is: strategically, GEO must be treated as a new traffic entry point to lay out. But at the execution level, it is a continuation relationship with previous SEO, not exclusive. You cannot say you only please AI and ignore search engines.

Their most fundamental common point is: high-quality content. No matter which era, this is the basic premise of marketing and conversion. As for specific changes: facing the AI era, content should focus more on "data structuring"; in addition, the presentation weight of enterprise qualifications, honors and customer cases needs to be greatly increased. In the past search-engine era, product information may have been more important; now AI values the latter's endorsement more—this is an obvious trend.

3\. What Is the Core Value of AI in Overseas Influencer Marketing?

Bruce: In overseas influencer marketing, how do brands use AI to discover influencers and match value?

Wang Jiancong: The core value of AI is to eliminate repetitive labor and provide deeper, more accurate judgment than humans.

The perspective on influencers is completely different in the big-data era and the AI era. In the past, in a SaaS system you looked at follower count, views, engagement rate, and after looking, employees still had to click into channels and check one by one. With AI, you throw the blogger's link to the model and ask it: "How would this blogger do selling a certain type of product?"

What does the model do? It directly reads all of the blogger's content and all comments, and can even see how this account's traffic has grown piece by piece starting from a year ago, which articles brought them follower explosions, thereby accurately giving a profile. In the past, overseas marketing personnel looking at two to three hundred bloggers a day were actually cutting corners by only looking at the first two or three, causing mid- and long-tail influencers to have hard-to-break-even ROI due to high labor management costs. Today this area has been upgraded by AI on day one. With the ability to identify influencers, subsequent outreach and value-anchored premium negotiation can all be handed to AI.

V. Scenario Simulation: Limited Budget, Only 3 Months—How Can a Chinese Brand Launch in a New Market?

Bruce: Let us do a practical simulation: a Chinese brand preparing to enter a brand-new overseas market, with not much budget and only three months—a typical small and medium enterprise profile. What is the first step?

Wang Jiancong: It must be finding small influencers (KOC). The purpose of finding influencers early on is not to do growth, but to validate PMF (product-market fit).

The same product in different countries has completely different audience preference personalization, and you may even need to iterate the product based on feedback. A good brand's first batch of influencers in the early stage are actually their seed users—they may not have much traffic, but they are willing to recommend to everyone they meet.

The essence of marketing is all doing A/B testing. First test at small scale which profile of influencer is most effective for your product in this market, then replicate. Do not look for big influencers in the early stage.

Chen Erhang: Tight on time and low on budget—then do the most basic and fastest-starting work.

First, do targeted content design for the target market, answering more of the local users' most concerned questions about the product or industry, which can be quickly crawled by AI search.

Second, if budget allows, run a small amount of search-engine advertising for a "hot start." Because organic promotion has a cycle for platform indexing, three months is too short, so you must moderately invest in advertising to accelerate indexing across platforms and observe market reaction.

Wu Yizhao: To get results quickly in three months, the simplest way is one word: "copy."

We need to find certainty in the market. If you want to sell headphones and run ads, go to social media and find viral content facing the same audience and the same selling points. Break down that content and replicate it—this is the lowest-cost way to trial and error. Same for influencer marketing: find a bunch of influencers to test, whichever one goes viral, take down her spoken delivery and script, and have other influencers continue remaking according to this script—this will produce big results.

Within three months, do not talk too much about high-end rules; quickly replicate and get results. But in the process of borrowing, be sure to also build the basic skills—standard workflows and asset libraries—because you are not only doing business for three months.

VI. High-Energy Segment: 10 Quick Q&A (20 Seconds Each)

1\. Will AI-generated content make brands stronger or more homogeneous?

Wang Jiancong: Stronger. It depends on human effort; doing healthy content will make you stronger.

Wu Yizhao: It depends on volume and conversion. If it is a large amount of material with no conversion, platform algorithms will also look at ROI, and it will be judged as homogeneous junk.

2\. What is the biggest difference in traffic tactics between white-label brands and branded brands in the AI era?

Wang Jiancong: Seems like no difference.

Chen Erhang: The difference between long-term and short-term. Brands are more systematic; white-label brands are more goal-oriented and focus on short-term conversion.

Wu Yizhao: Agreed. White-label brands have no rule baggage and pursue immediate efficiency and orders; brands pursue long-term asset precipitation.

3\. In the next 12 months, what is the one capability overseas enterprises most need to build?

Wang Jiancong: Multi-channel organic combination capability. As growth methods multiply, how to organically combine SEO, influencers and advertising and calculate the account clearly will make a huge difference in efficiency.

Chen Erhang: Content technology transformation. As soon as possible, upgrade independent-site content according to AI specifications, do a unified set of data presentation across the whole network, and change what is for "humans" to read to what is for "AI" to read.

Wu Yizhao: Infrastructure construction. The current strategy is to let machines understand, algorithms recognize, then let influencers amplify. Infrastructure determines the superstructure.

4\. What is the most easily wasted marketing budget right now?

Chen Erhang: Advertising spend. If basic technical work is not done well, a large amount of advertising spend goes in with extremely low conversion rate—all wasted.

Wu Yizhao: Result-less, trend-following testing. Hearing that others are doing influencers or GEO and doing it yourself, testing for the sake of testing—this kind of management blind spot is the most wasteful.

5\. What AI hotspot do you least recommend brands blindly chasing?

Wang Jiancong: All hotspots. Wait a few months and you will find many hotspots are gone, including blindly chasing various immature frameworks.

Chen Erhang: Going to extremes. Never hand all content construction over to AI batch production—AI improves efficiency, but the soul still needs human control.

Wu Yizhao: Trying to use intelligent mixed-editing tools to generate thousands or tens of thousands of materials overnight. Generating a pile of useless junk will only cause huge damage to your platform weight. Leave repetitive things to AI, and important things to humans.

VII. What to Start Doing Tomorrow?

Bruce: Overseas brands wanting to hijack new traffic in the large-model era—what is the first thing they should start doing when they wake up tomorrow morning?

Wang Jiancong: Do influencer marketing, first go find their contact information everywhere.

Chen Erhang: Do the internal skills well, and leave marketing to professional service providers. This requires patience and long-term persistence.

Wu Yizhao: First measure where you are strongest, then leverage the trend. Going overseas is a marathon—do not shoot a pile of materials that all rot in the cloud drive. The first step right now: sort out the content asset framework, pain points, selling points and audience you want to do, build the framework, then take small, fast steps, using AI and humans together to complete going overseas.

Bruce: Thank you to the three guests for the wonderful sharing!

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Original publication: https://uniqueresearch.substack.com/p/src-20260604-02html
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