很多企业现在谈AI,反应还是“能不能帮我写文案”“能不能帮我做海报”“能不能帮我剪视频”“能不能帮我降本增效”。
Many companies now talk about AI, and their first reaction is still "can you help me write copy", "can you help me make posters", "can you help me cut videos", "can you help me reduce costs and increase efficiency".
这些当然是AI的价值,但如果企业只把AI理解成一个效率工具,就会低估它对营销获客的深层影响。
These are certainly the values of AI, but if companies only understand AI as an efficiency tool, they will underestimate its deep impact on marketing and customer acquisition.
我认为,AI对企业营销的改变,不是让内容生产更快,而是改变了客户获取答案的方式。
I think the biggest change that AI has brought to enterprise marketing is not making content production faster, but changing the way customers get answers.
以前客户遇到问题,通常会打开搜索引擎,输入关键词,然后在一页页结果里筛选。企业要做的是尽量让自己出现在搜索结果中,让客户点击进来。
Previously, when customers encountered problems, they would usually open search engines, enter keywords, and then filter through page by page results. What companies need to do is to try to appear in search results and get customers to click in.
但现在,越来越多客户开始习惯直接向AI提问。
But now, more and more customers are getting used to asking AI questions directly.
比如:
for example
客户正在提出的,不再只是关键词,而是完整问题
What the customer is asking is no longer just keywords, but complete questions
经营问题
operational issues
制造业企业如何提升线上获客效率?
How can manufacturing companies improve their online customer acquisition efficiency?

行业问题
industry issues
外贸企业怎么通过内容获取询盘?
How can foreign trade enterprises obtain inquiries through content?
渠道问题
Channel issues
工业品企业短视频有没有必要做?
Is it necessary for industrial product companies to do short videos?
“制造业企业如何提升线上获客效率?”
How can manufacturing companies improve their online customer acquisition efficiency
“外贸企业怎么通过内容获取询盘?”
How can foreign trade enterprises obtain inquiries through content
“装修公司获客成本太高怎么办?”
What should be done if the cost of acquiring customers for a decoration company is too high
“工业品企业短视频有没有必要做?”
Is it necessary for industrial product companies to do short videos
“一个中小企业应该怎么搭建营销体系?”
How should a small and medium-sized enterprise establish a marketing system
客户不再只是搜索一个关键词,而是在提出一个完整问题。他需要的也不再是一堆链接,而是一个相对清晰的答案、路径、比较和建议。
Customers are no longer just searching for a keyword, but are asking a complete question. What he needs is no longer a bunch of links, but a relatively clear answer, path, comparison, and suggestion.
这对企业来说,影响很大。
This has a significant impact on enterprises.
因为在这种环境下,企业要争取的不只是搜索排名,也不只是平台曝光,而是要让自己的内容、案例经验、行业观点和解决方案,更容易被客户理解,也更容易被各种信息系统识别、归纳、引用和。
Because in this environment, what enterprises need to strive for is not only search rankings or platform exposure, but also to make their professional content, case experience, industry perspectives, and solutions easier for customers to understand, and easier for various information systems to identify, summarize, cite, and recommend.
换句话说,企业要从“让客户看到我”,升级为“让客户和信息系统都能准确理解我”。
In other words, companies need to upgrade from "letting customers see me" to "making customers and information systems accurately understand me".
如果一家企业长期没有清晰的内容资产,没有系统表达自己解决什么问题、适合什么客户、有什么经验、有哪些案例、方法论是什么,那么它在AI时代会变得更被动。
If a company does not have clear content assets for a long time, and does not systematically express what problems it solves, what customers it is suitable for, what experience it has, what cases it has, and what methodology it has, then it will become more passive in the AI era.
因为客户可能还没见到你,已经先通过各种信息渠道形成了对这个行业、这个品类、这个方案的初步判断。如果你的企业在这个过程中没有出现,或者出现得很模糊,后面的销售转化就会非常吃力。
Because the customer may not have seen you yet, they have already formed a preliminary judgment on this industry, this category, and this solution through various information channels. If your company does not appear in this process, or appears vaguely, the subsequent sales conversion will be very difficult.
这也是为什么我一直认为,AI时代的营销,不能只盯着“生产内容”,更要关注“内容是否能被理解”。
That's also why I have always believed that marketing in the AI era should not only focus on "producing content", but also pay attention to "whether the content can be understood".
内容不是写出来就结束了。
The content doesn't end just by writing it out.
它要能回答客户的问题,要能解释客户的困惑,要能呈现企业的能力,要能沉淀成长期资产,还要能在不同渠道、不同场景、不同客户决策阶段被反复使用。
It should be able to answer customers' questions, explain their confusion, demonstrate the professional capabilities of the enterprise, accumulate long-term assets, and be repeatedly used in different channels, scenarios, and customer decision-making stages.
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