2026年，全球生成式AI用户规模已达数亿人，用户获取信息的方式正在从“关键词搜索”走向“向AI提问、接受答案”。Deloitte预测，到2026年中期，将有72%的成年人使用过AI搜索摘要。这种变化，正在重塑企业网络获客的底层逻辑。

By 2026, the global user base of generative AI has reached hundreds of millions, and the way users obtain information is shifting from "keyword search" to "asking AI questions and receiving answers". Deloitte predicts that by mid-2026, 72% of adults will have used AI to search for summaries. This change is reshaping the underlying logic of customer acquisition in enterprise networks.

传统获客逻辑正在失效：用户不看搜索结果了

Traditional customer acquisition logic is becoming ineffective: users no longer look at search results

传统网络获客靠的是SEO——优化关键词、提升网页排名，让用户在搜索结果中看到你。但AI搜索改变了这个逻辑：用户问AI“哪家供应商靠谱”，AI直接从海量信息中提取答案，并引用可信来源。如果企业的内容没有被AI理解和引用，即使内容再好，用户也看不到。传统搜索结果页面中，不产生明显点击的比例已经超过一半。这意味着，品牌竞争已从传统搜索中的排名竞争，延伸为AI答案中的认知占位竞争。

Traditional online customer acquisition relies on SEO - optimizing keywords, improving webpage rankings, and allowing users to see you in search results. But AI search has changed this logic: when users ask AI "which supplier is reliable," AI directly extracts answers from massive amounts of information and references trusted sources. If the content of a company is not understood and referenced by AI, even if the content is good, users will not be able to see it. The proportion of traditional search result pages that do not generate any clicks has exceeded half. This means that brand competition has extended from ranking competition in traditional search to cognitive dominance competition in AI answers.

AI推广获客的核心公式：内容权威性×信源矩阵×多模态语义

The core formula for AI promotion and customer acquisition: content authority x source matrix x multimodal semantics

第一，内容权威性决定AI是否“信你”。 AI推广优化要求企业围绕“经验、专业、权威、可信”四个维度建设内容。内容质量差、信息不准、价值低，AI就不会引用。提升内容质量和权威性，对提升AI引用率的效果非常大。企业需要把自己客户非常常问的问题、行业里容易混淆的概念、选型时需要的判断标准，全部沉淀为有定义、有边界、有证据的“答案库”。

Firstly, the authority of the content determines whether AI "trusts you". The optimization of AI promotion requires enterprises to build content around four dimensions: "experience, professionalism, authority, and credibility". If the content quality is poor, the information is inaccurate, and the value is low, AI will not cite it. Improving content quality and authority has the greatest effect on increasing AI citation rates. Enterprises need to consolidate the most frequently asked questions by their customers, concepts that are easily confused in the industry, and judgment criteria required for selection into a defined, bounded, and evidence-based "answer library".

第二，信源矩阵让AI“交叉验证”你的品牌。 AI不是只看官网的——它会从知乎、行业媒体、权威平台等多个渠道综合判断品牌的“可信度”。需要在多个高权重平台同步构建一致的品牌信息，当AI在不同信源看到相同的事实，就会确认其可信性。罗小军在阿里巴巴的分享中提出“四层信任证明体系”：基础资质证明、故事化案例证据链、第三方背书、多渠道交叉验证——让品牌信息被大模型采信并优先推荐。

Secondly, the source matrix enables AI to "cross validate" your brand. AI is not just looking at official websites - it will comprehensively judge the "credibility" of a brand from multiple channels such as Zhihu, industry media, and authoritative platforms. It is necessary to synchronously build consistent brand information on multiple high weight platforms. When AI sees the same facts from different sources, it will confirm their credibility. In his sharing on Alibaba, Luo Xiaojun proposed a "four layer trust proof system": basic qualification proof, story based case evidence chain, third-party endorsement, and multi-channel cross validation - allowing brand information to be accepted by big models and recommended first.

第三，多模态内容让AI“看得到”你的产品。 AI正在从纯文本向多模态跃迁，如果企业只有图文内容，在多模态搜索的战场上正在缺席。视频内容通过字幕、关键帧、实体识别、场景分类、Schema结构化等多条路径，构建AI可检索、可理解、可引用的“多模态证据网”。制造企业的产品视频标注了准确技术参数后，AI在回答“五轴联动、±0.005mm公差”这类问题时，会优先引用该视频作为可信技术文档。

Thirdly, multimodal content allows AI to 'see' your product. AI is transitioning from pure text to multimodal search, and if enterprises only have graphic and textual content, they are absent from the battlefield of multimodal search. The video content is constructed through multiple paths such as subtitles, keyframes, entity recognition, scene classification, and schema structuring to create an AI retrievable, understandable, and referenceable "multimodal evidence network". After the product video of the manufacturing enterprise is annotated with precise technical parameters, AI will prioritize referencing the video as a trusted technical document when answering questions such as "five axis linkage, ± 0.005mm tolerance".

一句话总结： 2026年，企业网络获客的胜负手已经从“流量争夺”变成“AI认知占位”。AI推广的本质是让品牌成为AI回答用户问题时的“标准答案”，而非被AI遗漏的信息。内容结构化、信源矩阵化、多模态语义化——这三件事做对了，AI就会成为企业7×24小时的免费推荐官。

In summary, by 2026, the winner of customer acquisition in enterprise networks has shifted from "traffic competition" to "AI cognitive dominance". The essence of AI promotion is to make the brand the "standard answer" when AI answers user questions, rather than information that is overlooked by AI. If these three things are done right, AI will become a free recommender for enterprises 24/7, including content structuring, source matrixization, and multimodal semantics.

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