Over the past year, we've discussed the same issue with many business leaders: traffic is getting more expensive, and customers are getting harder to find. Whether it's a manufacturing factory in East China, an engineering company in North China, or a trading store in Southwest China, the market environment everyone faces is changing rapidly. As a digital marketing and omnichannel promotion service provider serving enterprise clients nationwide, Yunxuan Network Technology has found in its 20 years of service practice that companies that can consistently get inquiries often don't rely on a single channel's explosion, but have turned SEO optimization, omnichannel marketing, and AI agents into a system.
I. SEO Optimization: From Search Engines to AI Search, the Underlying Channel for Enterprise Customer Acquisition Is Being Restructured
Many business owners still understand SEO optimization as 'ranking keywords on the first page of Baidu.' This understanding is not wrong, but it's no longer enough. Today's search behavior is splitting into two battlefields: one is traditional search engines like Baidu, 360, and Sogou; the other is AI search platforms like Doubao, Tongyi Qianwen, DeepSeek, and Kimi. The way users ask questions, their content preferences, and the logic of result presentation on these platforms are completely different from traditional search engines.
We served an engineering company in East China that initially only did Baidu bidding. After stopping the ads, inquiries almost dropped to zero. Later, we helped them reorganize their website SEO architecture, systematically laying out pages for service areas, engineering cases, qualification certificates, and technical solutions, while also optimizing for AI search platforms with GEO (Generative Engine Optimization). Three months later, without increasing their advertising budget, this company's inquiries from organic search and AI Q&A stabilized at over 15 per month. This case shows that SEO optimization is not a ranking game on a single channel, but an engineering effort to make a company's content assets visible across multiple search entry points.
How to do it specifically? We usually take three steps. The first step is building a keyword system. It's not simply piling up big words like 'online promotion' or 'omnichannel marketing,' but dividing keywords into awareness, comparison, and decision layers according to the user's decision path. For example, for a factory making industrial equipment, awareness-level keywords might be 'how to choose industrial equipment,' comparison-level might be 'which industrial equipment manufacturer is good,' and decision-level might be 'custom industrial equipment quote.' Different levels of keywords correspond to different content formats and page types. The second step is optimizing the website's underlying architecture. Many corporate websites look beautiful, but at the code level they are not conducive to search engine crawling, mobile loading speed is slow, and there is a lack of internal linking logic between pages. We comprehensively revamp from dimensions such as URL structure, TDK settings, structured data, mobile adaptation, and AI retrieval friendliness. The third step is continuous content updates. SEO optimization is not a one-time task; search engines and AI platforms are constantly updating algorithms, and companies need to maintain a certain frequency of high-quality content output to maintain rankings and recommendation weights.
Here we should particularly mention GEO (Generative Engine Optimization). Many companies haven't realized that AI search is becoming a new traffic entry point. When users ask on Doubao or DeepSeek, 'Which reliable online promotion companies are there in Zhanjiang?' or 'Which omnichannel marketing service providers nationwide are good?', whether your company appears in the AI's answer depends on whether your content on the internet is recognized, trusted, and cited by AI platforms. The core of GEO optimization is to make enterprise information more authoritative and relevant in AI corpora. Through structured content building, distribution on authoritative platforms, and coverage of Q&A scenarios, we help companies seize opportunities in AI search. This is not a future trend, but a reality that is happening now.
II. Omnichannel Marketing: Not Doing Every Channel, But Doing Every Channel Right
The term 'omnichannel marketing' has been talked about for many years, but few companies do it right. We've seen too many companies doing Douyin, investing in Baidu, trying information feeds, spending a lot of money, but getting few inquiries. Where's the problem? It's not building a channel combination around customer decision scenarios, but blindly pursuing 'full coverage.'
Yunxuan Network Technology serves clients across industries nationwide, from manufacturing to trade circulation, from engineering construction to local life services. We've found a pattern: customers in different industries and regions have very different preferences for information channels. For example, manufacturing factories doing national business often rely on Baidu search and information feed ads because buyers are used to actively searching for suppliers; physical stores doing local services get more direct traffic from Douyin local and local life platforms; companies doing high-ticket engineering projects find website SEO optimization and brand exposure on vertical industry platforms more critical. So, the first step of omnichannel marketing is not choosing channels, but drawing customer profiles and decision maps.
We usually suggest companies plan omnichannel marketing from three dimensions. The first dimension is the search field. This includes Baidu SEO optimization, Baidu bidding promotion, 360 search, Sogou search, and content placement on AI search platforms. The core value of the search field is to capture active demand; users come with questions looking for answers, and their conversion intent is relatively clear. The second dimension is the recommendation field. This includes information feed platforms like Douyin, Toutiao, and WeChat Moments ads. The logic of the recommendation field is to stimulate potential demand, reach people who might be interested through content or ads, suitable for brand exposure and lead collection. The third dimension is the private domain field. This includes WeCom, official accounts, communities, AI agent customer service, etc. The value of the private domain field is to receive and convert, precipitating traffic from the first two fields and turning it into inquiries and orders through continuous operation.
These three fields are not isolated but need to be connected. For example, when serving a trading store in South China, we first used Douyin short videos for local exposure to attract nearby users; then did SEO optimization for brand and category keywords on Baidu to ensure users could find official information when searching; finally used AI agent customer service to handle nighttime and weekend inquiries, automatically replying to common questions and guiding users to leave contact info. After the entire chain was running, the store's foot traffic and online inquiries both increased significantly. The key to this case is not that a particular channel is especially powerful, but that the channels work together.
For national enterprise clients, we also pay special attention to regionalized placement strategies. China is vast, and user habits, competition levels, and customer acquisition costs vary greatly across regions. For example, for the same mechanical equipment promotion, the bidding cost in East China may be much higher than in Northwest China. We develop differentiated channel budgets and content strategies based on the company's target market distribution, spending money where conversion efficiency is highest. This is also why we emphasize serving the whole country, not just one region—only with a national perspective can we help companies do a good job in cross-regional customer acquisition layout.
III. AI Agents: Making Inquiry Conversion No Longer Limited by Manpower and Time
Many companies put great effort into promotion, but when traffic comes, they can't handle it. No one answers the phone, no one replies to website messages, WeChat inquiries are answered slowly, and the customer turns to another company. This is not a promotion problem, but a reception capacity problem. The emergence of AI agents is changing this situation.
The AI agents we refer to are not simple auto-reply robots, but intelligent Q&A, reception, and customer acquisition digital assistants built on a company-specific knowledge base. They can be embedded in multiple touchpoints such as corporate websites, WeChat official accounts, Douyin private messages, and WeCom, automatically handling customer inquiries 24/7. When users ask questions like 'Do you do nationwide promotion?' 'How much does website construction cost?' 'How long does SEO optimization take to show results?', the AI agent can provide accurate answers based on the preset knowledge base and guide users to leave contact information or directly transfer to a human.
We served a client in corporate services. Before launching the AI agent, inquiries at night and on weekends were basically unattended, and many leads were lost. After launch, the AI agent automatically handled these inquiries, not only replying to common questions but also doing preliminary screening and classification based on user intent. After one month of operation, backend data showed that the lead capture rate at night and on weekends increased by nearly 40%. More importantly, the human customer service team's energy was freed up to focus on deep follow-up with high-intent customers, significantly improving overall conversion efficiency.
Building an AI agent is not complicated, but doing it well requires three key actions. The first is knowledge base organization. Companies need to organize their service content, pricing logic, common questions, case materials, etc. into structured documents, which is the foundation for accurate AI agent responses. The second is dialogue flow design. Customers in different industries have different concerns, and the AI agent's questioning style and guidance path also need to be customized. For example, engineering company clients care more about qualifications and cases, while trading store clients care more about price and location; these differences need to be reflected in the dialogue flow. The third is data iteration. After the AI agent goes live, regularly analyze conversation records to identify inaccurate answers or user drop-off points, and continuously optimize the knowledge base and scripts. This is a dynamic iterative process, not a one-time project.
For companies with a certain volume of inquiries, we also connect the AI agent with SEO optimization and omnichannel marketing data. For example, by analyzing AI agent conversation data, if users frequently ask about a certain product parameter, we can specifically increase SEO content for that product; if users from a certain channel have higher intent, we can increase the advertising budget for that channel. This data closed loop makes the company's customer acquisition system run more smoothly.
IV. Website Building, Promotion, AI Tools, GEO Optimization: One-Stop Closed Loop Is the Optimal Efficiency Solution
Many companies habitually purchase website building, promotion, and customer service tools separately when doing digital marketing, resulting in disconnected data, fragmented experience, and high management costs. We prefer to recommend a one-stop closed-loop solution: from website construction, consider the underlying architecture for SEO optimization and AI retrieval inclusion; during promotion, data from all channels flows back to the same backend; after the AI agent handles inquiries, leads are automatically synced to CRM or WeCom. The biggest advantage of this is that efficiency improvements in each link are amplified by the next link.
Take website building as an example. We provide customized website development services for clients nationwide, not only adapting to brand image and PC/mobile display but also designing the underlying code to be search engine friendly and AI retrieval friendly. Many corporate websites have slow inclusion and poor rankings after launch, often because SEO optimization needs were not considered during the website building phase. If website building and SEO optimization are done separately, the cost of later modifications will be much higher. Similarly, if the website does not reserve an interface for AI agent integration, adding intelligent customer service later will be troublesome. Therefore, we suggest companies plan website building, promotion, AI tools, and GEO optimization as a whole when starting a digital marketing project.
We served a manufacturing factory that initially only wanted to do Baidu promotion. After communication, we found that their website was made years ago, had poor mobile experience, and incomplete product page information. If they directly invested in ads, the landing page conversion rate would be very low. So we suggested first upgrading the website and doing SEO optimization, reorganizing product system, factory strength, certification qualifications, etc., and then cooperating with information feed ads and AI agent customer service. Three months after the project went live, the factory not only saw a significant increase in domestic inquiries but also received many proactive inquiries from overseas customers. The person in charge later told us that they used to think website building was just a facade, but now they understand that the official website is the foundation of the entire customer acquisition system.
V. How Enterprises in Different Regions and Industries Can Combine These Three Capabilities
Yunxuan Network Technology serves enterprise clients nationwide, and we have encountered various types of needs. Here are a few typical scenarios to explain how different companies should combine SEO optimization, omnichannel marketing, and AI agents.
For B2B companies targeting the national market, such as mechanical equipment, industrial materials, and corporate services, we recommend focusing on SEO optimization and search ads, supplemented by information feed ads, with AI agents handling inquiries around the clock. These companies have long customer decision cycles and a high proportion of active search; the importance of official websites and content assets far exceeds other channels. GEO optimization should also be done simultaneously, because more and more procurement personnel are using AI tools for supplier research.
For physical stores doing local business, such as catering, education, decoration, and trade, we recommend focusing on Douyin local and local life platforms, combined with Baidu Map marking and local SEO optimization, with AI agents handling online inquiries and appointments. These companies have a limited customer acquisition radius, and content should highlight geographic location, service features, and user reviews. We have served many local physical stores in Zhanjiang, but the same methodology applies to local businesses in any city nationwide.
For companies with both national business and local services, such as engineering companies and chain brands, we recommend layered operations. At the national brand level, do SEO optimization and omnichannel marketing to build industry authority awareness; at the local customer acquisition level, do regional placement and local content operations to precisely reach potential customers in target cities. AI agents uniformly handle inquiries from all channels, diverting based on the user's region and demand type. This combination ensures both the unity of brand voice and the flexibility of local conversion.
VI. Pitfall Avoidance Guide: Common Mistakes Enterprises Make in Customer Acquisition Investment
In the process of serving clients, we have summarized some common misconceptions and share them here in hopes of helping companies avoid detours.
The first misconception is only looking at customer acquisition cost, not the conversion cycle. Decision cycles vary greatly across industries; engineering clients may take three months to close, while FMCG clients may order the same day. Using a unified standard to measure all channels can easily lead to misjudgment. We suggest companies focus on full-funnel conversion data, not just cost per click.
The second misconception is pursuing short-term explosions while ignoring long-term assets. Bidding ads stop traffic when you stop investing, but SEO optimization and content assets become more valuable as they accumulate. We suggest companies allocate at least 30% of their budget to long-term content building and SEO optimization, and not put all budget on performance ads.
The third misconception is buying a bunch of tools without data integration. Websites, promotion backends, and customer service systems operate independently, data cannot be connected, and optimization is impossible. We suggest companies prioritize partners who can provide a one-stop closed-loop solution when choosing service providers, to reduce later integration costs.
The fourth misconception is ignoring the rise of AI search. Many companies are still watching, but the user base of AI search is already growing rapidly. Entering when competition becomes fierce will cost much more. GEO optimization is still a blue ocean; early layout brings early benefits.
VII. Final Thoughts: There Is No One-Size-Fits-All Customer Acquisition, But There Is a System to Follow
Yunxuan Network Technology has been deeply involved in the internet industry for 20 years. We have seen too many companies quickly scale up because of a single channel's popularity, and too many companies rapidly decline because of a single channel. Truly stable customer acquisition capability comes from systematic layout and continuous optimization execution. SEO optimization solves the problem of 'being found,' omnichannel marketing solves the problem of 'being seen by more people,' and AI agents solve the problem of 'being able to handle inquiries.' Only when the three work together can a complete customer acquisition closed loop be formed.
We serve small and medium-sized enterprises and local physical clients across all industries nationwide. No matter which city you are in or which industry you are in, as long as your customers are online, this methodology applies. If you are struggling with customer acquisition, you might start by reviewing your search visibility, channel combination, and inquiry reception capabilities. You can also contact us directly and let Yunxuan Network Technology help you with a free customer acquisition link diagnosis. Technology empowers growth, marketing creates value—this is what we have always believed.