In the past six months, many business leaders have asked us the same question: the way customers find suppliers has changed. Previously, they searched on Baidu or scrolled through Douyin; now they directly ask Doubao, DeepSeek, or Tongyi Qianwen. Can our information still be seen? Behind this question is the redistribution of entry points for omnichannel customer acquisition. As a service provider with 20 years of experience in digital marketing and technology development, Yunxuan Network Technology has incorporated generative engine optimization and AI agent building into its core services since last year. Today, we have developed a reusable implementation process. This article does not discuss concepts; it only breaks down how we help an enterprise capture AI search traffic and solidify inquiry conversion.
1. First, Understand Where Customers Now Look for Suppliers
In the past, the logic of online promotion was clear: rank high on Baidu search, target feed ads accurately, gain exposure on Douyin, and inquiries would come. But this logic is being changed by AI conversational search. A procurement manager looking for a service provider for 'Zhanjiang engineering enterprise website + promotion integration' may no longer flip through ten pages of search results but directly ask AI: recommend a few companies that do omnichannel promotion for the engineering industry. If your brand, your service introduction, and your cases appear in AI's answer, you gain a high-intent inquiry entry; if not, you don't even have a chance to be compared.
This is the problem that generative engine optimization aims to solve. Its goal is the same as traditional SEO—to let target customers see enterprise information—but the battlefield has expanded from search engine results pages to the recommendation slots of AI-generated answers. In serving customers nationwide, Yunxuan Network Technology has found that AI recommendation logic overlaps with and differs from traditional search rankings: AI places more emphasis on content clarity, credibility, and structure. It needs to quickly understand 'who you are, what you do, whom you have served, and how customers evaluate you.'
2. How to Do Generative Engine Optimization: Four Actions by Yunxuan Network Technology
Many customers, upon first hearing about generative engine optimization, think it means advertising on AI platforms. It is not. Currently, most recommendation results on mainstream AI platforms come from publicly crawlable content and knowledge bases. What we do is make enterprise information exist on the internet in a way that AI can easily understand and cite. Specifically, it is divided into four actions:
1. Sort Out the Enterprise Knowledge Base
We first work with the enterprise to clarify basic information: main business, service areas, typical customers, delivery process, frequently asked questions, and qualifications. This content is not a brochure for customers but an 'instruction manual' for AI. For example, for a manufacturing factory doing nationwide promotion, we will clarify that its service scope is nationwide, not just local; what models its core products are and what scenarios they fit; what its delivery cycle and after-sales policy are. The more structured the information, the less likely AI will make mistakes when citing it.
2. Build a Website Foundation Adaptable to AI Retrieval
The website remains the most stable carrier of enterprise information. When building corporate websites, Yunxuan Network Technology simultaneously considers the browsing experience on PC and mobile and the underlying architecture for AI retrieval and indexing. What does that mean? It means the website code should be clean, content should be semantically clear, and pages should be reasonably interconnected so that AI crawlers can smoothly crawl and understand. Many corporate websites are beautifully made but AI cannot read them, which is equivalent to being invisible in AI search. During project delivery, we conduct an AI readability check to ensure core pages can be effectively indexed.
3. Produce Citable Content
AI will not recommend a company out of thin air. It needs to see sufficient and consistent content evidence. The content layout we help customers with includes: service pages and case pages on the official website, company introductions on third-party platforms, industry Q&As, customer reviews, and news reports. These contents revolve around the same set of keywords and business descriptions, forming cross-validation. For example, terms like 'omnichannel marketing,' 'inquiry conversion,' and 'performance-based customer acquisition' are not stacked in titles but naturally appear in service processes, case reviews, and FAQs. The more authentic and specific the content, the more willing AI is to cite it.
4. Continuous Monitoring and Iteration
Generative engine optimization is not a one-time deal. The recommendation logic of AI platforms is changing, and enterprise business is also changing. We regularly test mainstream AI platforms' answers with target questions to see whether enterprise information is mentioned, whether descriptions are accurate, and whether recommendation positions are high. If deviations are found, we adjust the content strategy. This action seems simple, but the difference between doing it consistently and occasionally is huge.
3. AI Agents: Catch the Traffic, Don't Let Inquiries Drop
Generative engine optimization solves the problem of 'being seen,' but what happens after being seen? Customers click into the website or find contact information through search, and the next step is the inquiry process. Here is a loophole that many enterprises overlook: nighttime inquiries, holiday inquiries, and multiple simultaneous inquiries cannot be handled by human customer service, so customers leave.
The AI agent building service provided by Yunxuan Network Technology targets this link. We help enterprises create an exclusive intelligent digital assistant for Q&A, reception, and customer acquisition. It can be embedded in the official website, WeChat official account, and mini-programs to automatically handle customer inquiries. It is not a mechanical reply that only says 'Hello, how can I help you?' but an intelligent agent trained on the enterprise knowledge base that can answer specific questions: Have you done cases in the engineering industry? How do you charge for nationwide promotion? How long does website construction take? What is the difference between Baidu promotion and generative engine optimization?
More importantly, the AI agent automatically captures leads during the reception process. After customers ask questions, the agent guides them to leave contact information or a description of needs, and these leads directly enter the enterprise sales follow-up process. One client, after launching the AI agent, saw a significant increase in lead capture rate for nighttime inquiries because customers did not have to wait until the next working day to contact; their questions were answered immediately. For enterprises doing nationwide customer acquisition, customer inquiry times are scattered across different regions, making the value of AI agents even more obvious.
4. Who Is Suitable for This Combination: Three Types of Enterprise Profiles
Not all enterprises need both generative engine optimization and AI agents. Based on Yunxuan Network Technology's experience serving customers nationwide, the following three types of enterprises have the highest priority:
Type 1: B2B Enterprises Reliant on Search Traffic
Customers in engineering, manufacturing, trade, and corporate services have high order values and long decision cycles. They conduct extensive searches and ask questions during the early research stage. If such enterprises only do traditional bidding ads, costs are rising, while generative engine optimization can bring more stable natural recommendation traffic. Combined with AI agents to handle inquiries, the conversion efficiency of search traffic can be improved.
Type 2: Enterprises with a Website but No Inquiries
Many enterprises have built websites but receive few inquiries all year round. The problem often lies in two places: first, the website content is not effectively indexed by search engines and AI platforms, so customers cannot find it; second, the website lacks reception tools, so when customers arrive, no one attends to them. We usually recommend first conducting a diagnosis of website SEO and generative engine optimization, then deciding whether to redesign or supplement content, and at the same time installing an AI agent so that when traffic comes, someone can receive it.
Type 3: Enterprises Doing Omnichannel Promotion but Stuck in Conversion
Some enterprises are already investing in Baidu promotion, feed ads, and Douyin promotion, with considerable traffic, but low inquiry conversion rates. At this point, the problem is not front-end traffic but the reception link. AI agents can respond 24/7, standardize answers to common questions, screen out high-intent customers and transfer them to humans, greatly improving the efficiency of the sales team's follow-up. This is also why Yunxuan Network Technology increasingly combines AI agents with bidding management and omnichannel promotion services.
5. What a Complete Service Process Looks Like
Putting the above pieces together, the service process that Yunxuan Network Technology provides to enterprise customers nationwide is roughly as follows:
- Step 1: Needs diagnosis. Understand the enterprise's business, target customers, existing promotion channels, and conversion data, and determine whether the problem lies in traffic, reception, or conversion.
- Step 2: Infrastructure building. If the enterprise does not yet have a website, or the website is not suitable for AI retrieval, we first do custom website development and simultaneously build an underlying architecture adaptable to generative engine optimization.
- Step 3: Content layout. Around the enterprise's core business and keywords, produce official website content, cases, Q&As, and third-party platform information, so that AI has enough material to understand and recommend the enterprise.
- Step 4: AI agent launch. Train the agent based on the enterprise knowledge base, embed it in the official website and other touchpoints, automatically handle inquiries, screen leads, and guide lead capture.
- Step 5: Promotion amplification. Combine Baidu promotion, feed ads, Douyin promotion, and other channels to direct precise traffic to the website and the agent, forming a customer acquisition loop.
- Step 6: Data review and iteration. Regularly review inquiry volume, lead capture rate, and conversion cost, adjust content strategy and advertising strategy, and continuously optimize.
Not every customer needs to go through the entire process. Some customers only need generative engine optimization, some only need an AI agent, and some need full-case management from website building to promotion. Yunxuan Network Technology's approach is to diagnose first, then provide a plan, without pushing services.
6. About Results and Timelines: Some Practical Words
The two questions enterprises care about most: How long until results? How to measure results?
The cycle of generative engine optimization depends more on content accumulation than traditional SEO. Generally, after the basic content layout is completed, enterprise information can be seen mentioned on mainstream AI platforms within one to three months; within three to six months, recommendation stability and coverage will significantly improve. If the enterprise itself has very little content on the internet, the cycle will be longer. This is not mysticism; it takes time for content to be crawled, understood, and verified by AI.
The launch cycle for AI agents is much shorter. Knowledge base sorting and training can usually be completed in one to two weeks, and it takes effect immediately after being embedded in the website. Results are measured by several indicators: number of inquiries received, lead capture rate, proportion of human intervention, and lead quality. One client, after launching the agent, saw nighttime inquiry lead capture account for about 30% of total lead capture, which previously would have been lost.
It should be noted that neither generative engine optimization nor AI agents guarantee inquiries just by being implemented. They solve specific links in the customer acquisition chain, and final conversion still depends on product competitiveness, sales follow-up ability, and the overall market environment. When serving customers nationwide, Yunxuan Network Technology clearly explains these boundaries and does not exaggerate promises.
7. Common Misconceptions: Don't Treat Generative Engine Optimization as Old Wine in New Bottles
We have encountered some enterprises that previously hired someone to do so-called AI optimization, only to find that it was just stuffing keywords into articles, and AI platforms did not cite them at all. Here are several common misconceptions worth noting:
- Misconception 1: Generative engine optimization is just publishing more articles. Quantity matters, but content quality and consistency matter more. AI needs credible information, not repetitive nonsense.
- Misconception 2: AI agents are just automatic replies. Automatic replies are rule-triggered; agents understand intent and give targeted answers. The experience gap between the two is huge.
- Misconception 3: With generative engine optimization, traditional SEO is unnecessary. Currently, AI search and traditional search traffic coexist. They are not substitutes but complements. Yunxuan Network Technology usually advises customers to do both.
- Misconception 4: Once an AI agent is launched, human customer service is not needed. The value of an agent is reception and screening; high-intent customers still need human follow-up. It is an efficiency tool, not a replacement.
8. Service Capabilities from the Perspective of Nationwide Customer Acquisition
Yunxuan Network Technology serves small and medium-sized enterprises and local physical customers across the country. Its office is in Zhanjiang, but its service scope covers the whole country. We have local experience in Zhanjiang online promotion, but more customers come from all over the country, completing website building, promotion, optimization, and AI tool implementation through online collaboration. For enterprises doing nationwide business, AI search and generative engine optimization actually have more advantages than traditional local promotion, because AI recommendations are not limited by region. As long as the content is in place, customers nationwide can see you.
Our service capabilities revolve around one core: to make enterprises appear at every step of the customer's search for suppliers and be trusted. In the search era, ranking mattered; in the feed era, materials mattered; in the AI era, content credibility and reception efficiency matter. Yunxuan Network Technology strings together website construction, SEO optimization, generative engine optimization, Baidu promotion, feed ads, Douyin promotion, AI agent building, and full-case digital marketing management into one line, helping enterprises turn traffic into inquiries and inquiries into orders.
If you are considering using AI agents and generative engine optimization to improve omnichannel customer acquisition efficiency, you can start with a diagnosis. See what your enterprise information looks like on AI platforms, whether AI will recommend you when customers ask, and whether your website has the ability to handle inquiries. Once these questions are answered, the next step will be clear.