After twenty years in digital marketing, we've seen too many companies stuck in the same place: ads are running, content is published, websites are built, but inquiries just won't increase. The question bosses ask us most is—where did the money go?
Breaking this down, it's actually three things that aren't connected: incoming traffic can't be captured, captured leads can't be retained, and retained customers can't find you. In our service system at Yunxuan Network Technology, these correspond to three key aspects: inquiry conversion, intelligent customer service, and generative engine optimization. Today's article gets straight to the point, explaining from a service provider's perspective how to handle each aspect and what pitfalls to avoid.
1. Inquiry Conversion: It's Not Insufficient Traffic, It's Weak Reception
Let's start with a real case we reviewed. A company in engineering supporting facilities invested in Baidu promotion and ran information flow ads. Monthly clicks weren't low, but effective inquiries were in single digits. The boss thought the keywords were poorly chosen and planned to increase budget. After we stepped in and looked at the landing page first, we found the problem wasn't on the traffic side at all.
The landing page took 6 seconds to load, the mobile first screen was a large image that didn't show the business, the contact phone was hidden at the bottom, and the form required seven fields. Users clicked in, couldn't find what they wanted within three seconds, and left immediately. This isn't a traffic problem; it's a reception problem.
What exactly is inquiry conversion converting? Essentially, it's turning 'passersby' into 'people willing to leave contact information.' This process must meet three conditions: users can quickly confirm that what you offer matches what they're looking for, they can contact you at low cost, and they believe contacting you won't cause trouble.
When optimizing landing pages for clients nationwide, we usually follow these actions:
- Put three things clearly on the first screen—what you do, which regions you serve, and what problems you solve. Companies with nationwide business especially need to state 'serving nationwide' to avoid out-of-town customers thinking you only operate locally.
- Front-load contact information. At least one of phone, WeChat, or online chat entry should be visible on the first screen; don't test users' patience.
- Reduce form burden. If three fields suffice, don't use five; the more fields, the higher the abandonment rate. A mobile number plus a brief description of needs is basically enough.
- Add trust elements. Industries served, number of customers, qualifications, delivery process—these are more effective than flowery adjectives.
Another often overlooked point: traffic from different channels should have different landing pages. People from search promotion have clear intent, so the landing page should directly correspond to the terms they searched; people from information flow ads have stimulated needs, so the landing page should first explain 'why you need this.' Using the same page for all channels will definitely reduce conversion rates.
When we handle full digital marketing management, we integrate website building, promotion, and landing page optimization into a closed loop—this is why: if pages and promotion are disconnected, the budget is wasted.
2. Intelligent Customer Service: Capturing Inquiries That Would Otherwise Be Missed
Once traffic reception is done well, the next problem arises: when customers inquire, is anyone there to respond?
This issue is particularly evident in small and medium-sized enterprises and physical stores. For companies promoting nationwide, customers may come from any province at any time. 10 PM, weekends, holidays—these are exactly when many customers have time to look at their phones and are willing to inquire. But at these times, many companies' customer service is already off duty.
We've analyzed client data: the proportion of inquiries at night and on rest days is not low; in some industries, it can reach over 30%. If these inquiries aren't answered, it's like throwing away leads already in hand.
This is precisely the starting point for our AI agent building and intelligent customer service. Intelligent customer service isn't just for show; its core task is to receive and capture leads—when human agents are offline, it catches customer questions, secures contact information, records needs, and lets human agents follow up directly when they come online.
A usable intelligent customer service should at least have these capabilities:
- Answer common questions within the business scope, such as product specifications, service processes, price ranges, and service areas. For questions it can't answer, it should naturally guide to leave contact info.
- Identify customer intent, distinguish between 'just asking' and 'having a clear need,' and proactively ask for contact info from the latter.
- Record conversation content so sales know what the customer asked when following up, without starting from scratch.
- Adapt to the company's way of speaking; avoid a robotic tone that makes customers not want to chat after three questions.
Here's a pitfall to note: many companies buy generic chatbot robots with empty Q&A libraries, so whatever customers ask, the response is 'Sorry, I don't quite understand.' Such intelligent customer service not only fails to convert but also harms the brand. The value of intelligent customer service comes from 'feeding' it—organizing the company's business knowledge, common questions, and scripts into it so it can truly work.
When building AI agents for clients, we spend considerable time on upfront knowledge organization. This process seems slow, but it determines whether it can truly handle the traffic brought by nationwide promotion. An intelligent customer service that can receive 24/7, guide lead capture, and sync with sales is essentially an extra receptionist who never goes off duty.
Intelligent customer service and inquiry conversion are linked. The front end of inquiry conversion is the page, and the back end is reception. The page retains people, and customer service receives them; only when both are done well can conversion rates be guaranteed.
3. Generative Engine Optimization: How to Capture Search Traffic in the AI Era
Now the third aspect, which has changed the most in the past two years.
In the past, companies focused on Baidu for search traffic. Now more and more users are asking questions on AI platforms like Doubao, Qianwen, and DeepSeek. They no longer flip through search results one by one but directly ask 'Which company is good for XX service?' or 'How to promote in XX industry?' and then look at the AI's answer.
What does this mean? If your company information isn't indexed, understood, and cited by AI platforms, when users ask related questions, you won't be in the AI's answer. This is a rapidly growing traffic source that many companies haven't realized yet.
Generative engine optimization does exactly this—optimizing company content for AI platforms' retrieval and generation logic so that AI can cite you when answering related questions.
How is generative engine optimization different from traditional SEO?
Traditional SEO optimizes web page rankings in search results, with core elements being keyword matching and link authority. Generative engine optimization deals with AI's understanding and generation, with the core being whether content can be understood, trusted, and cited by AI. Simply put, SEO is about getting search engines to rank you higher; GEO is about getting AI to mention you in answers.
When doing generative engine optimization, we focus on these things:
- Structured content. AI prefers clear, well-organized content with explicit information. Company introductions, service descriptions, and FAQs written with clear headings and paragraphs are far more useful than a pile of adjectives.
- Information consistency. Company name, business scope, service areas, and contact information should be consistent across the official website, platforms, and channels. The more consistent, the easier for AI to confirm credibility.
- Cover real user queries. Users ask AI differently than they search on Baidu—more colloquial and complete. Content should cover these real queries, not just stack keywords.
- Continuous updates. AI platforms consider content timeliness. Sites that haven't been updated for a long time are less likely to be cited.
There's a common misconception: thinking generative engine optimization is just publishing more articles. Publishing articles is fine, but what and how to publish is more important. Content should answer user questions, demonstrate professionalism, and have clear service information. Content that's purely filler won't be appreciated by AI or users.
Also, generative engine optimization doesn't replace SEO; it supplements it. Traditional channels like Baidu promotion and website SEO are still the main source of inquiries for many companies and shouldn't be abandoned. When making plans for clients, we usually plan search promotion, information flow ads, website SEO, and generative engine optimization together, letting different channels play different roles.
4. How to Connect the Three Aspects
After discussing the three aspects, let's return to the initial question: why do many companies promote without results?
Because these three aspects are disconnected. Promotion brings people, but pages can't retain them; pages finally leave leads, but customer service can't receive them; content for search and AI channels isn't done, so users can't find you even if they want to.
Our core in full digital marketing management is to connect these aspects into a closed loop:
- At the website building stage, consider mobile experience, loading speed, and the underlying architecture for AI retrieval indexing, so the website doesn't become a weak point.
- At the promotion stage, coordinate Baidu promotion, information flow ads, Douyin promotion, and local platforms, with landing pages tailored to each channel's characteristics.
- At the reception stage, intelligent customer service is online 24/7, receiving inquiries from all over the country, automatically capturing leads, and syncing with sales.
- At the content stage, website SEO and generative engine optimization are done simultaneously, giving the company a presence on both Baidu and AI platforms.
When this loop runs, customer acquisition isn't about luck on one channel but a system that consistently delivers results.
We serve clients across industries nationwide, from manufacturing factories to engineering companies, from trading stores to service-oriented firms. Industries differ, but this logic is universal. The only differences are in how customers ask questions and decision cycles, so implementation plans need to be adjusted accordingly.
5. Common Pitfalls to Avoid
Finally, let's discuss several pitfalls we've repeatedly seen during service, as a reminder for companies currently promoting.
Pitfall 1: Focusing only on traffic, not conversion. The entire budget is spent on acquisition, with no attention to landing pages, customer service, or follow-up processes. As a result, traffic becomes more expensive, and inquiries decrease. The correct approach is to first streamline the conversion process, then scale up traffic, so every dollar's effect is improved.
Pitfall 2: Treating intelligent customer service as a decoration. Installing a robot with an empty Q&A library means whatever customers ask, it gives irrelevant answers. For intelligent customer service to truly work, upfront knowledge organization and script configuration cannot be skipped.
Pitfall 3: Ignoring AI search as new traffic. Still only doing traditional search, not realizing users have moved to AI platforms to ask questions. Doing generative engine optimization now is still low-cost; entering when competition intensifies will increase difficulty and cost.
Pitfall 4: Publishing content without optimization. A bunch of articles published, but without considering how users ask or how AI reads. Content needs structure, information value, and consistency to be cited by search and AI.
Pitfall 5: Unclear service areas. Companies doing nationwide business should clearly state 'serving nationwide' on their websites and content, otherwise out-of-town customers may mistakenly think you only operate locally, losing opportunities.
6. Action Recommendations for Companies
If you're currently promoting or about to start, you can check in this order:
- Does your website and landing page load quickly on mobile, and can the first screen clearly state what you do within three seconds?
- Is the contact information prominent enough, and is the form simple enough?
- Is anyone answering inquiries during non-working hours? If not, it's time for intelligent customer service.
- Do channels like Baidu promotion, information flow ads, and Douyin promotion have corresponding reception plans?
- Is website SEO being done continuously, and has generative engine optimization been initiated?
- Are customer questions and leads recorded and followed up?
You don't need to achieve all six at once, but each one done well will improve customer acquisition efficiency.
Yunxuan Network Technology has been in digital marketing and technology development for twenty years, from website building to full-network promotion, from intelligent customer service to generative engine optimization. What we do is essentially one thing: help companies make customer acquisition predictable and manageable. Traffic will change, platforms will change, but by solidifying the three fundamentals—reception, conversion, and content—companies can get results on any channel.
If you're also struggling with inquiry conversion, or want to know how generative engine optimization and intelligent customer service can be applied to your business, welcome to chat with us. We serve corporate clients nationwide; no matter which city you're in, we can start with a diagnostic to see where the problem lies.