After 20 years in digital marketing, we've watched the entry points for enterprise customer acquisition move from portal websites to search engines, and then from search engines to short videos, information feeds, and AI dialogue platforms. With each migration, some enterprises seize the dividends, while others fall behind due to slow responses. The most obvious change in 2025 is: customers no longer only search for suppliers through Baidu; more and more people directly ask Doubao, Qianwen, DeepSeek—"What reliable engineering companies are there in Zhanjiang?" "Recommendations for XX equipment manufacturers?" "Which local company is professional in website promotion?" If your brand information does not appear in the answers of these AI platforms, you are giving away inquiries delivered to your doorstep to competitors.
Yunxuan Network Technology serves small and medium-sized enterprises and local physical customers nationwide. Our core business covers website development, SEO search optimization, GEO generative engine optimization, Baidu/information feed advertising, brand full-network promotion, and AI agent development. This article doesn't talk in vague terms; from our daily practical perspective of making plans for clients, adjusting accounts, and building systems, we break down "AI agents + full-network marketing" clearly: how to do it, what to pay attention to, where the money goes, and how to measure results.
1. First Understand: AI Agents Are Not Customer Service Robots, But a Link in the Customer Acquisition Chain
When many bosses hear "AI agent," their first reaction is "Isn't it just an auto-reply customer service? We already have that on our website." But traditional online customer service can only answer preset questions; when customers ask deeper, it transfers to a human, and at night and on weekends, it's completely offline. An AI agent, however, is a digital employee that can understand context, proactively guide lead generation, and connect to knowledge bases and business systems. Its relationship with full-network marketing can be understood as follows:
- Full-network marketing is responsible for bringing in traffic—search engines, information feeds, short videos, AI platforms, multi-channel exposure;
- Websites and landing pages are responsible for receiving traffic—page loading speed, content persuasiveness, conversion entry design;
- AI agents are responsible for turning traffic into inquiries—real-time reception, need clarification, automatic lead capture, night duty;
- CRM and follow-up systems are responsible for turning inquiries into orders—but the premise is that the first three steps don't fail.
When we did an integrated website + promotion project for an engineering company in Zhanjiang, we encountered a typical problem: Baidu promotion had many clicks every day, but the number of consultations couldn't go up. After investigation, we found that after customers clicked into the website, during the day the customer service was too busy, and at night there was no one to receive them at all. Many visitors left after viewing the cases. Later, we launched an AI agent, input all engineering qualifications, service areas, quotation logic, and common questions into the knowledge base. The agent received 24/7, automatically determined whether it was a local project or an out-of-town project based on customer questions, and guided them to leave their phone number and needs. In the first month after launch, nighttime lead capture accounted for 37% of total inquiries, which was previously completely wasted traffic.
Therefore, AI agents are not a replacement for human customer service, but a supplement to the time periods and scenarios that humans cannot cover, giving every bit of traffic brought by full-network marketing a chance to convert into an inquiry.
2. The Underlying Logic of Digital Marketing Has Changed: From "Keyword Ranking" to "Being Recommended by AI"
In the past, the core of digital marketing was SEO optimization—ranking keywords on the first page of Baidu so customers could find you. Now search behavior has split into two lines: one is still traditional search engines, and the other is AI dialogue platforms. GEO generative engine optimization is content optimization for AI platforms like Doubao, Qianwen, DeepSeek, so that when AI answers user questions, it prioritizes citing your brand information, product advantages, and case data.
These two lines are not either/or, but complement each other. Our approach is:
- The underlying architecture of the official website is adapted to both search engines and AI retrieval—structured data, semantic tags, clear content hierarchy, so that crawlers and AI can understand;
- In terms of content strategy, we do both keyword layout and Q&A-style content—because AI is more inclined to cite paragraphs that directly answer questions;
- Brand information is presented consistently across multiple platforms—official website, encyclopedia, industry sites, short video accounts, news sources. When AI cross-verifies, it will prioritize recommending brands with consistent information and high credibility.
One manufacturing factory client previously only did Baidu promotion, and the number of inquiries remained stable but did not break through. We helped him do three things: first, restructure the official website, adding structured content such as product parameters, application scenarios, and certification qualifications; second, publish technical articles on multiple industry platforms and news sources, covering long-tail questions like "equipment selection" and "process standards"; third, launch GEO optimization, training brand-related corpus for AI platforms. Three months later, not only did Baidu organic traffic increase, but customers also directly came to inquire with screenshots of AI platform recommendations, saying "Doubao recommended your company." This is the effect of combining full-network marketing and GEO optimization.
3. How to Implement Full-Network Marketing? Four Channels' Coordinated Tactics
Full-network marketing is not just opening an account on every platform; it's about reaching customers at different stages of their decision path using different channels. When Yunxuan Network Technology makes full-network promotion plans for enterprises, we usually configure according to these four levels:
1. Search Engines: Baidu Promotion + SEO Optimization, Capturing Active Demand
Customers actively search for "XX manufacturer" or "XX service," with the clearest intent and highest conversion rate. Baidu promotion is responsible for quick positioning, and SEO optimization is responsible for long-term low-cost customer acquisition. The key to their cooperation is keyword strategy: bidding on high-intent words, SEO for long-tail words and Q&A words. When managing accounts, we regularly negate invalid words, adjust match types, optimize landing pages, and spend budget where it truly brings inquiries.
2. Information Feed Ads: Platforms like Douyin, Toutiao, Stimulating Potential Demand
Information feeds are suitable for products and services with visual impact, such as decoration, equipment, and franchise recruitment. The core is materials and targeting: materials must catch the eye, and targeting must be accurate. We generally suggest clients first test multiple sets of materials with a small budget, find combinations with high click-through and conversion rates, and then gradually scale up. Avoid spending a large budget right away, as it's easy to burn money without results.
3. Short Videos and Local Life: Douyin Promotion + Local Platforms, Covering Surrounding Customers
For businesses with regional attributes such as physical stores, engineering services, and trade wholesale, short videos and local life platforms are powerful for attracting traffic. When we did short video traffic for a local trade store in Zhanjiang, the content was not high-end promotional videos, but real store scenes, product details, customer Q&A, with local tags, attracting surrounding customers to the store. At the same time, store information was posted on local life platforms for easy search and navigation.
4. AI Platforms: GEO Generative Engine Optimization, Seizing New Entry Points
As mentioned earlier, AI platforms are becoming new traffic entry points. The core of GEO optimization is to make AI "know" you, "trust" you, and "recommend" you. Specific methods include: publishing brand content on authoritative platforms, optimizing the AI readability of the official website, building a brand knowledge graph, and continuously outputting high-quality Q&A content. This field is still rapidly evolving, but enterprises that layout early have already tasted the benefits.
4. How to Build an AI Agent? From Requirement Analysis to Launch and Operation
Many clients ask us: "AI agents sound advanced. Can our company use them? How much does it cost?" In fact, AI agents are not the patent of large enterprises; small and medium-sized enterprises need them even more—because with limited manpower, they need tools to improve efficiency. Yunxuan Network Technology generally builds AI agents for enterprises in four steps:
Step 1: Sort Out Business Scenarios and Knowledge Base
First clarify what problem the agent should solve: is it official website reception, WeChat customer service, or Douyin private messages? Then organize the knowledge base, including product introductions, service processes, quotation ranges, common questions, cases, etc. The more detailed the knowledge base, the more accurate the agent's answers. We encountered a client who only provided a product manual, and the agent's answers were very stiff. Later, we added 50 frequently asked questions, and the effect immediately improved.
Step 2: Choose Access Channels and Interaction Methods
AI agents can be embedded in official websites, WeChat public accounts, mini-programs, Douyin enterprise accounts, etc. Interaction methods can be text dialogue or combined with voice. We generally suggest starting with the official website and WeChat, as these two channels have the largest consultation volume and are easiest to see results.
Step 3: Training and Optimization
After the agent goes live, it's not a one-time effort; it needs continuous optimization based on actual dialogue records. For example, if customers often ask "Do you have cases in XX province?" and the knowledge base doesn't have it, it needs to be added. When we build agents for clients, we regularly analyze dialogue logs, identify high-frequency unresolved questions, and feed them back into the knowledge base and marketing content.
Step 4: Connect with Human Customer Service and CRM
Problems that the agent cannot solve should be smoothly transferred to a human; inquiries left should automatically enter CRM and be assigned to sales for follow-up. Once this step is connected, the entire customer acquisition chain is closed.
After we launched an AI agent customer service for an enterprise, the nighttime consultation lead capture rate increased by more than 40%, and during the day, human customer service could focus on complex issues, significantly improving overall efficiency.
5. Pitfall Guide: Five Common Misconceptions in Digital Marketing
After 20 years in digital marketing, we've seen too many enterprises waste money. Here we summarize five high-frequency misconceptions to help everyone avoid pitfalls:
- Misconception 1: Building a website only for looks, not conversion. A website is a customer acquisition tool, not a work of art. Loading speed, mobile adaptation, and conversion entry design are much more important than cool animations. When we build websites, we make SEO underlying architecture and AI retrieval inclusion standard.
- Misconception 2: Promotion only buys keywords, no content. Bid ranking can bring immediate traffic, but without content support, customers won't stay after clicking. SEO optimization and content marketing are key to long-term low-cost customer acquisition.
- Misconception 3: AI agents just buy a template. Generic templates don't understand your business, and answers are irrelevant, which drives customers away. Agents need customized training combined with enterprise knowledge bases.
- Misconception 4: Full-network marketing means doing all platforms. When resources are limited, focus on 1-2 channels where customers gather, do them deeply, then gradually expand. Blindly spreading out means doing poorly on every platform.
- Misconception 5: Not looking at data, making decisions by feeling. The advantage of digital marketing is traceability. From clicks to inquiries to deals, every step should be data-driven and continuously optimized. When we manage for clients, we regularly provide data reports and optimization suggestions.
6. How to Measure Results? Don't Just Look at Inquiry Quantity
Enterprises doing digital marketing ultimately look at return on investment. But measuring results cannot only look at inquiry quantity; quality matters too. We generally suggest clients focus on these indicators:
- Cost per valid inquiry: total promotion spend ÷ number of valid inquiries, more meaningful than just looking at cost per click;
- Inquiry conversion rate: the ratio from consultation to lead capture, reflecting the reception ability of the agent and landing page;
- Deal conversion rate: the ratio from lead capture to deal, reflecting sales follow-up ability;
- Organic traffic share: the proportion of free traffic brought by SEO and GEO optimization, the higher the healthier;
- Number of AI platform recommendations: the frequency the brand is mentioned in AI answers, a direct effect of GEO optimization.
When we do full-case management for clients, we include the above indicators in monthly reports, review with clients, and adjust strategies. Digital marketing is not a one-time deal but a process of continuous optimization.
7. Applicable to Enterprises Nationwide: Yunxuan Network Technology's Service Logic
Yunxuan Network Technology is headquartered in Zhanjiang, but our service scope covers the whole country. Whether it's a manufacturing factory in the north, a trading company in East China, or a local store in South China, we can provide full-chain services from website building, promotion to AI agents and GEO optimization. The reason we can serve nationwide is that digital marketing itself is not limited by region—online communication, remote delivery, cloud management, high efficiency. Many of our clients have never met in person, cooperating entirely online, with guaranteed results.
For local physical customers, we have targeted local customer acquisition plans, combining short videos, local life platforms, and AI agents to help stores attract surrounding foot traffic. For enterprises with nationwide business, we focus on search engines, information feeds, and GEO optimization to help brands cover a broader market.
After 20 years, our deepest realization is: the tools and platforms of digital marketing are always changing, but the core remains the same—using professional capabilities to help clients acquire inquiries at lower cost and higher efficiency. AI agents, GEO optimization, full-network marketing are all new tools and methods under this goal. Yunxuan Network Technology is willing to share the experience and methods accumulated over the years, and welcomes enterprise friends nationwide to exchange ideas and make customer acquisition more solid together.