In an era when information acquisition is highly fragmented, the situation of corporate official websites is often discussed. Rather than agonizing over whether they will be replaced, it is better to look at a more practical question: as AI capabilities gradually mature, in which areas can official websites put it to use.
The Positioning of the Official Website Has Not Changed
The biggest difference between an official website and content platforms is that it carries complete information, not fragments. What users see on platforms is often a judgment formed in a few seconds. To truly understand a company's products, services, and qualifications, they still need a clearly structured place. The official website is precisely what fulfills this role.
In addition, the official website is one of the few data entry points completely controlled by the enterprise itself. Where visitors come from, what they view, and at which step they stop—these pieces of information form the basis for business judgment. Platform accounts can hardly replace this.
Integration Point One: Content Recommendations
Traditional official websites display the same content to all visitors. After integrating AI, the focus of homepage display can be adjusted based on visitors' sources and behavior. For example, visitors entering from a product page may care more about specifications and comparisons, while those entering from a service introduction may care more about processes and case studies.
The value of this kind of recommendation is not that it is smarter, but that it reduces the cost for users to find things. The premise is a sufficiently clear content structure—if the site itself is cluttered with information, there is no basis for recommendations.
Integration Point Two: Customer Service
Customer service is the most direct scenario for combining an official website with AI. Q&A trained on site content can handle a large number of repetitive inquiries, freeing human staff from basic Q&A to focus on communication that requires judgment.
When putting this into practice, two boundaries must be observed: first, the scope of what can be answered must be clear; when something is unclear, it is better to transfer to a human than to give an uncertain answer; second, data boundaries must be clear—which information can enter the Q&A database needs to be planned in advance.
Not Every Area Is Worth Using AI
AI can do many things, but not every area needs it. The criteria are actually very simple: whether the task is repetitive, whether there are clear rules, and whether mistakes are easy to correct. Those that meet these three criteria are suitable to be handed over to tools; those that require judgment and accountability still need to be done by people.
The value of an official website will not disappear because of technological change, but the way it works will change. Using AI where it reduces repetition and improves response is more meaningful than pursuing intelligence as a concept.