With 20 years in digital marketing, we have an internal criterion: whether an enterprise can continuously acquire customers depends not on how much it spends today, but on whether it keeps up with the migration of traffic entry points. In 2025, this migration is more evident than in any previous year—search is no longer just Baidu, content is no longer just text and images, and customer inquiries are no longer just phone calls and forms. The combination of these three changes directly rewrites the cost structure and conversion path of enterprise customer acquisition.
Yunxuan Network Technology serves small and medium-sized enterprises and local physical businesses across the country. From website development and SEO optimization to GEO generative engine optimization, Baidu and feed advertising, and AI agent development, we see every day on the front lines how these changes affect inquiry volume, lead retention rates, and sales cycles. This article won't be vague; it starts with three trends we've observed in actual delivery, explaining where the changes are, what enterprises should do, and how we can help.
Trend 1: AI Search Is Eating into Traditional Search Traffic, and Generative Engine Optimization Is No Longer Optional
The most intuitive change over the past two years is that clients ask us less frequently about "why did Baidu rankings drop?" and instead ask: "Why do all the recommendations from Doubao and DeepSeek come from competitors?"
This is not an illusion. More and more users, especially young procurement decision-makers and local consumers, are getting used to AI conversational search replacing traditional keyword search. They no longer type "Which engineering company in Zhanjiang is good?" but directly ask, "Recommend a few reliable engineering companies in Zhanjiang with official websites and case studies." AI answers often list only three to five companies. If you're not on that list, you're completely invisible in the new entry point.
This is the problem that GEO generative engine optimization solves. Traditional SEO optimizes a webpage's ranking in search engine results pages, while generative engine optimization optimizes a company's citation rate and recommendation order in AI large model responses. The underlying logic is similar—both require high-quality content, clear structured information, and sufficient authority signals—but the tactics differ significantly.
When we help clients with GEO optimization, we usually start from three levels. The first is the content level: write the company's service capabilities, cases, qualifications, and service scope into structured content that AI can easily understand and cite, rather than marketing copy stuffed with keywords. The second is the source level: distribute through multiple channels such as the official website, industry platforms, and authoritative media, so that AI can capture consistent company information from multiple credible sources. The third is the Q&A level: pre-arrange answer content for questions target customers often ask, so that AI has ready material to use when generating responses.
One client in the building materials industry had a website for years with mediocre Baidu rankings. After we did three months of GEO optimization, their probability of being recommended in Doubao and Qianwen increased significantly, and the backend started showing labels like "customer from AI search." These inquiries have a characteristic: the customer has already done a round of screening and comes with specific needs, so the conversion cycle is much shorter than broad traffic.
It's important to note that generative engine optimization is not a one-time deal. AI model training data and retrieval mechanisms are continuously updated; being recommended today doesn't mean it will still be next month. Therefore, our approach is quarterly content iteration and source maintenance, treating it as a long-term project rather than a one-off technical operation.
Trend 2: Omnichannel Marketing Shifts from "Multi-Platform Volume" to Closed-Loop Design of "Content—Engagement—Conversion"
The term omnichannel marketing has been discussed for years, but many companies turn it into "advertising everywhere." A post on Douyin, a bit of Baidu investment, a share on WeChat Moments—money spent, results unclear.
True omnichannel marketing is not about how many platforms you cover, but what role each platform plays in the customer acquisition chain. Internally, we break omnichannel marketing into four stages: exposure, interest, engagement, and conversion. Different platforms correspond to different stages, and content formats and KPIs are completely different.
The exposure stage mainly relies on feed ads and short video recommendations, aiming to let as many target audiences as possible see it. At this stage, we look at impressions and click-through rates, not rushing for inquiries. The interest stage relies on search ads and content accumulation; customers already have needs and are actively looking for solutions. At this point, the quality of the official website, landing pages, and case content directly determines whether they stay. The engagement stage is the most easily overlooked by many companies—customers see an ad, enter the website, want to inquire, but only find "Welcome to call," or fill out a form and get no response. The conversion stage is sales follow-up and private domain operations, turning leads into orders.
We served a manufacturing factory that previously ran ads on multiple platforms. Inquiry volume seemed decent, but sales complained that "they're all just asking for fun." After we took over, we did two things: first, we changed the feed ad landing page from a generic product page to industry-specific solution pages; second, we launched an AI agent customer service for first-round reception. After the adjustment, total inquiries didn't skyrocket, but the proportion of valid inquiries increased significantly, and sales follow-up efficiency improved. This is the value of closed-loop design—not making every stage 100%, but ensuring no stage fails.
In the engagement stage, AI agents are becoming standard. Customers may enter from any entry point: official website, landing page, short video comment section, or private message window. Human customer service cannot be online 24/7, but AI agents can. The AI agents we build for clients can answer high-frequency questions about product specifications, service scope, pricing logic, and case situations, and can automatically capture leads, tag, and transfer to humans during conversations. Nighttime and holiday inquiries are no longer lost, which is especially important for national promotion—customers in different regions are active at different times, and manual scheduling makes full coverage difficult.
Trend 3: Competition in National Promotion Shifts from "Who Spends More" to "Who Can Engage and Convert Faster"
National promotion is an inevitable choice for many SMEs as they grow. The local market is saturated, and they want to expand; or the product itself has no geographical restrictions and is naturally suited for national business. But the difficulty of national promotion lies not in advertising, but in engagement and conversion.
We've seen too many companies advertise nationwide, phones ring off the hook, but only one person answers, or customer service knows nothing about regional differences in customer needs and uses the same script. The result is ad spend wasted and leads squandered.
To succeed in national promotion, at least three things must be done well. First, the official website and landing pages must adapt to the concerns of customers in different regions. For example, for engineering service companies, local customers care about response speed, while out-of-town customers care more about case experience and remote service capabilities; content focus should differ. Second, there must be a tiered mechanism for inquiry engagement. Large customers, small customers, those with strong intent, and those still exploring should not be treated with a one-size-fits-all approach. Third, data must flow back. Which region, which channel, and which type of content bring higher-quality inquiries—these data should guide the next round of advertising, not just be forgotten after the campaign.
Yunxuan Network Technology's role in national promotion is not simply opening an account and setting targeting for clients. We consider promotion needs from the website development stage: the website's underlying architecture should facilitate search engine indexing and AI retrieval; page structure should support landing needs for different regions; forms and inquiry entry points should integrate with AI agents and CRM. In the promotion stage, Baidu promotion, feed ads, and Douyin promotion are combined according to the client's industry characteristics, not just choosing the cheapest. In the engagement stage, AI agents handle the first round, humans follow up in the second round, and important leads directly alert the sales manager. Only when this whole set runs smoothly is national promotion not just "burning money for nothing."
One trading client previously only did local business and wanted to expand nationwide but lacked confidence. We first helped upgrade their official website, clearly explaining service scope, logistics capabilities, and after-sales policies that out-of-town customers care about, then started with small-scale search ad testing, and gradually increased feed advertising after the engagement process was proven. Over half a year, the proportion of out-of-town inquiries rose from less than 10% to about 40%. We consider this pace relatively healthy—validate the model first, then scale up.
Three Things Enterprises Should Do Now
Now that the trends are explained, at the execution level, we suggest enterprises focus on three things.
First, take the official website seriously again. Many companies think the official website is outdated, but in fact, it is the final landing point for all promotional traffic and an important source for AI to judge whether a company is credible. A website with clear structure, solid content, and good mobile experience can boost the effectiveness of all promotion channels. When we build corporate websites, we consider four goals simultaneously: brand display, search indexing, AI retrieval, and conversion engagement, rather than just making a pretty page.
Second, lay out generative engine optimization as early as possible. The traffic share of AI search is still rising, and the cost of entering now is far lower than after competition intensifies. There's no need to overturn existing SEO work, but supplement it with content structure and source building. We usually suggest clients bundle GEO optimization with website SEO; the two reinforce each other, and the overall customer acquisition cost is actually lower.
Third, invest in inquiry engagement as part of customer acquisition. Advertising brings customers in; engagement keeps them. Tools like AI agents, intelligent customer service, and automatic lead capture are not exclusive to large enterprises; SMEs can afford them too, and often see faster results—because the decision chain is short, they can be used immediately upon launch.
What Yunxuan Network Technology Can Do for Clients
After discussing so many trends and methods, let's talk about ourselves. Yunxuan Network Technology has been deeply involved in the internet industry for 20 years. Our core team has grown from the PC internet era to the mobile internet era and now the AI search era. We have served clients in engineering, manufacturing, trading, services, and many other industries across the country.
Our services can be summarized in one main line: from website development to promotion, from content to engagement, helping enterprises build a digital marketing system that can continuously acquire customers. Specifically, this includes: corporate website development and custom development, balancing brand image, mobile experience, and AI retrieval indexing; website SEO and GEO generative engine optimization, covering both traditional search and AI search entry points; Baidu promotion, feed ads, Douyin promotion, and other omnichannel marketing placement and management; AI agent development and intelligent customer service deployment, solving inquiry engagement and nighttime lead capture; and full-case digital marketing management, connecting the above into a closed loop.
We do not promise things like "guaranteed first place ranking" or "guaranteed doubled inquiries," because customer acquisition results are affected by multiple factors including industry, product, budget, and engagement capability. What we can promise is: using 20 years of accumulated methodology and delivery experience to help clients avoid detours, spend every bit of promotion budget where it can generate leads, and continuously adjust strategies as traffic entry points change.
If you are considering national promotion or find that old channels are declining, welcome to talk with a consultant at Yunxuan Network Technology. We will first understand your business and current situation, then give advice, and will say so directly if it's not suitable. In customer acquisition, finding the right partner is more important than spending the right money.