灵狐双11趋势洞察：AI挑大梁意图定方向内容促销量

龚作仁 2026-10-23 10:08

龚作仁 2026/10/23 10:08

邦小白快读

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总1 双11核心变化与关键数据

1. AI成为决策主变量：79.4%消费者下单前先问AI，AI对购买决策影响力43.7%，首次超过传统媒体广告42.6%。

2. 平台补贴转向官方立减、官方直降和分层可叠加，规则简化、周期拉长、现货优先，目标是提升成交确定性。

总2 实操干货

1. 为AI准备可读的自己，把商品参数、卖点、适用场景、对比关系结构化，便于AI理解、引用和推荐。

2. 把内容指标换成信任指标，关注收藏率、复访率、品牌词搜索增量、私信咨询量。

3. 让AI进组织，承接夜间经营、素材生产、数据分析等高频重复环节。

总3 可参考案例

1. 林氏家居布艺床推荐给希望躺着玩游戏更舒适的电竞人群，新客成交金额占比超83%。

2. 淘天AI店小蜜在夜间等人工薄弱时段成交转化率增幅超50%；巨量星图优质营销内容带动GMV二季度环比一季度增长142%。

总1 用户行为与营销入口变化

1. 79.4%消费者下单前先问AI，AI对购买决策影响力43.7%，首次超过传统媒体广告42.6%；购物入口向千问、豆包、京东东东迁移。

2. 投放逻辑从找像老用户的人转向找有需求意图的人，品牌要争取进入AI回答里的推荐位和候选集。

总2 内容与信任建设

1. 内容评价从完播为王转向收藏、复访、评论弹幕等信任深度指标；抖音精选计划考核内容创造力、稳定经营力、长期信服力、高效带货力，小红书强调种草直接对经营结果负责。

2. 优质营销内容带动GMV二季度环比一季度增长142%，平均播放量高出107%，CPM下降92%；优质内容需体验真诚、信息充分、创作出众。

总3 品牌经营动作

1. 把商品参数、卖点、适用场景、对比关系结构化，让AI能理解、能引用、能推荐。

2. 价格竞争转向价值供给、AI能力和人群资产的复合竞争，补贴分层可叠加，资源向确定性更高的头部品牌与优质商家倾斜。

总1 政策解读与扶持机会

1. 淘天以官方立减为基础，无界智惠券投入数十亿元并用AI动态调档；京东领航计划以20亿红包和亿级流量助推，零报名费、可叠加、奖金池不封顶；抖音为一件直降或官方立减15%二选一，平台加补定向邀请。

2. 补贴从普惠撒网转向精准分层，资源向确定性更高的头部品牌与优质商家倾斜；中小商家可借助AI工具获得数字化运营支撑。

总2 增长机会与可学习点

1. 流量投放转向意图推理：京东京小通激活70%模糊意图，抖音千川乘方智能优惠券开启后GMV预计平均增加20%至53%。

2. 抖音精选计划提供数百亿流量覆盖、百万优质商家优先合作资源、技术服务费最高100%返点；小红书与2100多个品牌开展一方数据合作，关注深度行动。

总3 风险提示与应对

1. 流量分配从出价能力转向意图识别能力，AI回答推荐位成为新战场，商品信息不结构化难进候选集。

2. 应把收藏率、复访率、品牌词搜索增量、私信咨询量纳入监测。

总1 产品信息与设计需求

1. 商品参数、卖点、适用场景、对比关系需要结构化，让AI能理解、能引用、能推荐；否则难以进入AI候选集。

2. 搜推分发单元从SKU转向SPU化，京东JoyAI接管二十多万自营商品货盘、动销率提升超20个百分点，提示工厂要完善SPU级商品信息。

总2 商业机会与产品方向

1. 消费意图识别能挖掘具体场景和新兴人群，林氏家居布艺床被推荐给希望躺着玩游戏更舒适的电竞人群，新客成交金额占比超83%，产品设计和卖点可围绕真实场景展开。

2. 素材要能还原具体消费场景、承接AI识别出的新兴人群，工厂可与品牌共建场景化内容和可信信息。

总3 数字化与电商启示

1. 简化规则、拉长周期、强化现货供给优先级，说明稳定供给和确定性成交更重要。

2. 用AI承接高频重复环节，把人的精力释放到策略判断与创意判断上；同时以收藏、复访、品牌词搜索、私信咨询等信任指标观察经营效果。

总1 行业趋势与新技术

1. AI同时接管消费链路和经营链路：消费端入口向千问、豆包、京东东东迁移，经营端出现淘天AI店小蜜、生意管家2.0、巨量AI工作台等智能体化工具。

2. 投放从标签匹配、行为相似转向意图推理和AI行为预测，内容评价从完播转向收藏、复访、评论弹幕等信任深度指标。

总2 客户痛点

1. 品牌效率差距取决于谁更早、更准确理解流量意图，既要让AI会干活，也要被AI认得出。

2. 旧尺子量新内容会误导优化方向；商品信息不结构化，难进入AI回答的候选集。

总3 解决方案

1. 帮客户做商品信息结构化工程，把参数、卖点、适用场景、对比关系变成AI可读内容。

2. 建立信任指标体系，纳入收藏率、复访率、品牌词搜索增量、私信咨询量。

3. 用AI承接夜间经营、素材生产、数据分析，并围绕真实消费场景生产体验真诚、信息充分、创作出众的内容。

总1 平台补贴与玩法设计

1. 淘天以官方立减为核心，无界智惠券投入数十亿元并借AI模型按投放力度动态调整档位；京东领航计划以20亿红包和亿级流量助推，零报名费、可叠加、奖金池不封顶；抖音一件直降或官方立减15%二选一，平台加补采用定向邀请、反向提报。

2. 补贴从普惠转向精准分层可叠加，资源向确定性更高的头部品牌与优质商家倾斜，同时简化规则、拉长周期、强化现货供给优先级，追求成交确定性。

总2 流量与内容运营

1. 淘天万相点睛转向意图推理，京东京小通升级为人定义目标、AI自主经营，抖音从标签匹配转向AI行为预测；平台需以AI入口承接购前到购后。

2. 抖音精选计划以内容创造力、稳定经营力、长期信服力、高效带货力考核作者，小红书推动种草效果化并与2100多个品牌开展一方数据合作。

总3 风向与治理

1. 平台需平衡中小商家扶持与资源向确定性商家倾斜，用AI工具降低中小商家数字化门槛。

2. AI回答推荐位成为新战场，平台要建设商品结构化信息和可信内容密度，规避只靠流量规模与价格力度的旧竞争。

总1 产业新动向

1. AI重构消费者获取信息、形成判断和做出选择的方式，79.4%消费者下单前先问AI，AI对购买决策影响力43.7%，首次超过传统媒体广告42.6%。

2. 平台竞争从流量规模乘价格力度转向价值供给乘AI能力乘人群资产，意图理解成为电商经营效率的分水岭。

总2 新问题与商业模式

1. 定向逻辑从找像老用户的人转向找有需求意图的人；内容从流量资产变为生意资产，信任生产依赖可辨认身份、可核验使用经历和有人承担责任的效果表达。

2. 品效销一体化以AI和大数据串联意图理解、精准触达、高效转化、资产沉淀，形成增长闭环。

总3 启示

1. 品牌需要建设可被AI读懂的内容工程，并用收藏率、复访率、品牌词搜索增量、私信咨询量等信任指标替代单一流量指标。

2. 平台补贴分层、AI智能体进入岗位、内容精选与种草效果化，表明经营评价正关注意图识别、信息可信和长期经营力。

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Quick Summary

Summary 1: Core changes and key data for Double 11

1. AI has become a primary decision variable: 79.4% of consumers consult AI before placing an order, and AI's influence on purchase decisions reached 43.7%, surpassing traditional media advertising at 42.6% for the first time.

2. Platform subsidies have shifted toward official direct discounts, official price cuts, and tiered stackable offers, with simpler rules, longer campaign periods, and priority for in-stock goods, aiming to improve transaction certainty.

Summary 2: Practical takeaways

1. Prepare an AI-readable profile by structuring product parameters, selling points, use cases, and comparisons so AI can understand, cite, and recommend them.

2. Replace content metrics with trust metrics, focusing on save rate, revisit rate, incremental brand-term searches, and direct-message inquiries.

3. Bring AI into the organization to handle high-frequency, repetitive tasks such as nighttime operations, creative production, and data analysis.

Summary 3: Reference cases

1. Linsy Home's fabric bed was recommended to gaming audiences seeking more comfortable bed-based gaming; new-customer GMV accounted for over 83%.

2. Taotian's AI Dianxiaomi increased conversion during nighttime and other periods with thin staffing by over 50%; premium marketing content on Juliang Xingtu drove GMV up 142% in Q2 quarter over quarter.

Summary 1: Changes in user behavior and marketing entry points

1. 79.4% of consumers consult AI before placing an order; AI's influence on purchase decisions is 43.7%, surpassing traditional media advertising at 42.6% for the first time. Shopping entry points are migrating to Qwen, Doubao, and JD Dongdong.

2. Campaign logic is shifting from finding people who resemble existing users to finding people with demand intent; brands must compete for recommendation slots and inclusion in AI-generated candidate sets.

Summary 2: Content and trust building

1. Content evaluation is moving from completion rate as the king to trust-depth metrics such as saves, revisits, comments, and bullet comments. Douyin's Premium Program assesses content creativity, stable operational capability, long-term credibility, and efficient sales conversion; Xiaohongshu emphasizes that seeding content should be directly accountable to business results.

2. Premium marketing content drove GMV up 142% in Q2 quarter over quarter, with average views 107% higher and CPM down 92%. Premium content requires genuine experience, sufficient information, and outstanding creativity.

Summary 3: Brand actions

1. Structure product parameters, selling points, use cases, and comparisons so AI can understand, cite, and recommend them.

2. Price competition is shifting to composite competition across value supply, AI capabilities, and audience assets. Subsidies are tiered and stackable, with resources tilted toward leading brands and quality merchants with higher certainty.

Summary 1: Policy interpretation and support opportunities

1. Taotian bases its approach on official direct discounts, invests billions of yuan in Unbounded Smart Benefit Coupons, and uses AI to dynamically adjust tiers. JD's Leading Program supports merchants with RMB 2 billion in red packets and billions of traffic, with zero registration fees, stackable offers, and an uncapped bonus pool. Douyin offers a choice between one-item direct discounts or official direct discounts of 15%, with platform add-on subsidies by targeted invitation.

2. Subsidies are shifting from broad-based distribution to precise tiering, with resources tilted toward leading brands and quality merchants with higher certainty. Small and medium-sized merchants can use AI tools to obtain digital operational support.

Summary 2: Growth opportunities and learnings

1. Traffic allocation is shifting toward intent inference: JD Jingxiaotong activates 70% of ambiguous intent, and Douyin Qianchuan Chengfang's smart coupons are expected to increase GMV by an average of 20% to 53% after activation.

2. Douyin's Premium Program offers hundreds of billions of traffic coverage, priority cooperation resources for millions of quality merchants, and up to 100% rebates on technical service fees. Xiaohongshu has launched first-party data cooperation with more than 2,100 brands, focusing on deep actions.

Summary 3: Risk warnings and responses

1. Traffic allocation is shifting from bidding capability to intent recognition capability; AI answer recommendation slots are becoming a new battlefield, and unstructured product information will struggle to enter candidate sets.

2. Save rate, revisit rate, incremental brand-term searches, and direct-message inquiries should be included in monitoring.

Summary 1: Product information and design requirements

1. Product parameters, selling points, use cases, and comparisons need to be structured so AI can understand, cite, and recommend them; otherwise, products will struggle to enter AI candidate sets.

2. The distribution unit for search and recommendation is shifting from SKU to SPU. JD JoyAI has taken over a portfolio of more than 200,000 self-operated products and raised the sell-through rate by over 20 percentage points, indicating that factories should improve SPU-level product information.

Summary 2: Business opportunities and product direction

1. Consumer intent recognition can uncover specific scenarios and emerging audiences. Linsy Home's fabric bed was recommended to gaming audiences seeking more comfortable bed-based gaming, with new-customer GMV accounting for over 83%; product design and selling points can be built around real scenarios.

2. Creative assets should recreate specific consumption scenarios and serve emerging audiences identified by AI; factories can work with brands to build scenario-based content and credible information.

Summary 3: Digitalization and e-commerce implications

1. Simpler rules, longer campaign periods, and stronger priority for in-stock supply indicate that stable supply and certain transactions are more important.

2. Use AI to handle high-frequency repetitive tasks and free human energy for strategic and creative judgment; at the same time, observe business performance through trust metrics such as saves, revisits, brand-term searches, and direct-message inquiries.

Summary 1: Industry trends and new technologies

1. AI is taking over both the consumer journey and the operating chain: on the consumer side, entry points are migrating to Qwen, Doubao, and JD Dongdong; on the operating side, agentic tools such as Taotian AI Dianxiaomi, Business Butler 2.0, and Ocean Engine AI Workbench are emerging.

2. Campaign targeting is shifting from label matching and behavioral similarity to intent inference and AI behavior prediction. Content evaluation is shifting from completion rate to trust-depth metrics such as saves, revisits, comments, and bullet comments.

Summary 2: Client pain points

1. The efficiency gap among brands depends on who understands traffic intent earlier and more accurately; brands must both make AI capable of doing the work and make themselves recognizable to AI.

2. Using old yardsticks to measure new content misleads optimization; unstructured product information makes it hard to enter AI answer candidate sets.

Summary 3: Solutions

1. Help clients with product information structuring, turning parameters, selling points, use cases, and comparisons into AI-readable content.

2. Build a trust metric system covering save rate, revisit rate, incremental brand-term searches, and direct-message inquiries.

3. Use AI to handle nighttime operations, creative production, and data analysis, and produce content around real consumption scenarios with genuine experience, sufficient information, and outstanding creativity.

Summary 1: Platform subsidy and playbook design

1. Taotian centers on official direct discounts, invests billions of yuan in Unbounded Smart Benefit Coupons, and uses AI models to dynamically adjust tiers based on campaign intensity. JD's Leading Program supports with RMB 2 billion in red packets and billions of traffic, with zero registration fees, stackable offers, and an uncapped bonus pool. Douyin offers a choice between one-item direct discounts or official direct discounts of 15%, with platform add-on subsidies via targeted invitation and reverse submission.

2. Subsidies are shifting from broad-based distribution to precise, tiered, stackable support, with resources tilted toward leading brands and quality merchants with higher certainty. Rules are simplified, campaign periods are longer, and priority is given to in-stock supply in pursuit of transaction certainty.

Summary 2: Traffic and content operations

1. Taotian's Wanxiang Dianjing is shifting toward intent inference; JD Jingxiaotong is upgraded so that people define goals and AI operates autonomously; Douyin is shifting from label matching to AI behavior prediction. Platforms need to use AI entry points to cover the pre-purchase to post-purchase journey.

2. Douyin's Premium Program evaluates creators on content creativity, stable operational capability, long-term credibility, and efficient sales conversion. Xiaohongshu is promoting performance-oriented seeding and has launched first-party data cooperation with more than 2,100 brands.

Summary 3: Direction and governance

1. Platforms need to balance support for small and medium-sized merchants with tilting resources toward certain merchants, using AI tools to lower the digitalization threshold for smaller merchants.

2. AI answer recommendation slots are becoming a new battlefield; platforms should build structured product information and credible content density, and avoid old competition based solely on traffic scale and price intensity.

Summary 1: New industry dynamics

1. AI is reconstructing how consumers access information, form judgments, and make choices. 79.4% of consumers consult AI before placing an order, and AI's influence on purchase decisions is 43.7%, surpassing traditional media advertising at 42.6% for the first time.

2. Platform competition is shifting from traffic scale multiplied by price intensity to value supply multiplied by AI capability multiplied by audience assets. Intent understanding is becoming the dividing line for e-commerce operating efficiency.

Summary 2: New issues and business models

1. Targeting logic is shifting from finding people who resemble existing users to finding people with demand intent. Content is changing from a traffic asset to a business asset, and trust production depends on identifiable identities, verifiable usage experience, and effect claims for which someone takes responsibility.

2. The integration of brand, performance, and sales uses AI and big data to connect intent understanding, precise reach, efficient conversion, and asset accumulation, forming a growth loop.

Summary 3: Implications

1. Brands need to build content engineering that AI can understand and replace single traffic metrics with trust metrics such as save rate, revisit rate, incremental brand-term searches, and direct-message inquiries.

2. Tiered platform subsidies, AI agents entering job roles, curated content, and performance-oriented seeding indicate that business evaluation is focusing on intent recognition, information credibility, and long-term operational capability.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

当79.4%的消费者在下单前先问AI，AI对购买决策的影响力达到43.7%并首次超过传统媒体广告时，今年双11的信号已然清晰：消费者获取信息、形成判断、做出选择的方式，正被AI系统性重构，平台与品牌的博弈焦点，也从“流量规模×价格力度”转向了“价值供给×AI能力×人群资产”的复合竞争。过去，平台定向逻辑是“找像老用户的人”，现在AI驱动的意图理解转向了“找有需求意图的人”。品牌效率差距不再取决于抢到多少流量，而取决于谁更早、更准确理解流量意图。意图理解，正在成为电商经营效率的分水岭。

灵狐品效销一体化能力恰落于此。当AI成为双11主变量，品效销不再简单串联品牌、效果、销售，而是以AI和大数据为底层支撑，把意图理解、精准触达、高效转化、资产沉淀串成完整增长闭环。灵狐要回答的，是流量为何来、如何留住、如何持续增值。值此双11开启之际，灵狐系统梳理今年双11的竞争变化，研判下一阶段增长路径，为品牌与从业者提供决策坐标，在不确定性中识别机遇，创造确定性增长。

01玩法与补贴：补贴升级为主战场从一刀切到分层可叠加

今年平台补贴的逻辑变了方向。跨店满减系统性弱化，官方立减、官方直降成为主角，直接呈现单件到手价，与此同时，平台补贴与商家让利并行，从普惠撒网转向精准分层，钱还是那些钱，花法却完全不同。

今年淘天双11依旧将官方立减作为基础核心玩法，优惠以店铺为维度生效。此外，还推出了“无界智惠券”，平台投入数十亿元补贴资金，借助AI模型依据投放力度动态调整补贴档位，实打实的优惠券与流量补贴，直接减轻商家经营成本压力，同时伴随AI工具的规模化落地，中小商家同样得以获取数字化运营支撑。

京东发布“领航计划”，以20亿红包搭配亿级流量作为核心助推资源，项目实行零报名费，支持多项政策叠加生效，奖金池设置上不封顶。面向消费端，官方直降、跨店满减、低价热卖，叠加超级惊喜红包与PLUS券的多元权益组合，构建多层次的价格权益组合。

抖音大促价格体系采用“一件直降/官方立减15%二选一，由商家出资”模式；平台加补玩法采用定向邀请、反向提报模式。整体补贴激励模式转向分层、可叠加的资源配置逻辑，将平台资源向确定性更高的头部品牌与优质商家倾斜。

相较于过往大促追求短时订单脉冲式爆发的运营思路，今年各平台更加重视如何让优惠转化为实际成交。简化交易规则、拉长活动周期、强化现货供给优先级，一系列动作的底层逻辑，是促使已有消费意向的用户，在平台生态内完成高效闭环转化。大促的营销仪式感逐步淡化，成交的确定性成为核心命题。

02流量与投放：从抢流量到抢意图

比补贴更底层的，是投放逻辑的重写。淘天万相点睛，将定向从“协同过滤/行为相似”重构为基于世界知识的“意图推理”，不再找“像已有客户的人”，而是找“正在产生需求的人”。其价值已被数据验证：林氏家居的布艺床被推荐给“希望躺着玩游戏更舒适”的电竞人群，新客成交金额占比超83%。

京东京小通，从“人配置参数、系统执行”升级为“人定义目标、AI Agent自主经营”，消费者70%的模糊意图被推理激活；“AI全域追击”通过站内首焦加购样式精准承接站外再营销人群；快车新增“种草人群”把收藏、加购、入会等真实种草行为纳入模型优化目标，跨类目挖掘潜在意图新客。

抖音6月新规将分配逻辑从“标签匹配”替换为“AI行为预测”；千川·乘方以一套智能引擎统一调控基础投流、素材创意、达人营销、增值权益，智能优惠券开启后GMV预计平均增加20%至53%，经营视角从“管投放”走向“管营销”。

消费意图的精准识别，仅是增长链路的开端，要将潜在需求转化为实际成交，最终仍需依托内容完成承接。随着流量定向模式演进为意图推理机制，内容生产逻辑也需要从粗放铺量，转向消费意图的深度适配。素材能否还原具体消费场景、能否承接AI识别出来的新兴人群，将左右最终转化表现。

03 AI与消费链路：一场双向接管

今年双11最本质的变化，是AI同时接管了链路的两端。

消费侧，购物入口正在位移。千问接入淘宝天猫超40亿商品，在对话内完成发现→比较→下单→售后；豆包接入抖音商城打通电商全链路；京东App16.0全新升级AI购物助手「东东」，从一问一答进化为支持AI穿搭、AI放我家的动态购物工作台，承接购前到购后。入口迁移的背后，是用户行为的先一步改变，79.4%的消费者在下单前会先问AI，AI对购买决策的影响力达到43.7%，首次超过传统媒体广告的42.6%。

经营侧，AI从工具变成岗位。淘天AI店小蜜以Agent架构在服饰、家电类目试点，夜间等人工薄弱时段成交转化率增幅超50%，现已覆盖超300家品牌店铺；生意管家2.0围绕六大岗位打造“数字员工”。京东的JoyAI Oxygen Retail接管二十多万自营商品货盘，动销率提升超20个百分点；搜推底层持续升级，将全站分发单元从SKU转向SPU化。巨量引擎于9月17日发布「巨量AI工作台」，配置机会洞察、创意制作、直播运营、数据分析、广告投放五大“专家”，并由「巨量伙伴」统一拆解目标、协调分工。

把两端合起来看，品牌今年要打的是两场仗：既要“让AI会干活”，也要“被AI认得出”。前者是效率战，后者是存在战，当消费者把“帮我挑一款适合油皮的防晒”交给AI，货架里的搜索位不再是唯一战场，AI回答里的推荐位才是新的必争之地。品牌的结构化信息、参数完整度与可信内容密度，将直接决定能否进入AI的候选集。

04用户与内容：从“互动好看”到“愿意信、愿意买”

链路迁移的另一侧，是内容评价标准的整体换轨。

抖音电商精选计划把“精选内容”定义为用户愿意看、愿意信、愿意买的内容；对精选作者的考核由粉丝量与单场销量，改为内容创造力、稳定经营力、长期信服力、高效带货力；评价指标也不再以完播为王，转向收藏、复访、评论弹幕等反映信任深度的长尾指标。入选内容可获得数百亿流量覆盖、百万优质商家优先合作资源，技术服务费最高100%返点。

小红书自2026 WILL商业大会起将“种草进入效果化时代”确立为主线，明确种草要回答生意问题、直接对经营结果负责，今年双11则是这一方向的集中验证期。平台更看重用户看完内容后的深度行动，如主动搜索品牌词、深度收藏、主页停留乃至私信咨询；在度量侧，小红书已与2100多个品牌开展一方数据深度合作，帮助品牌看清用户从浏览、搜索到决策的全路径；在达人侧，蒲公英升级至true users，要找的是真正用过产品、能激发他人购买的博主，而不只是买一个广告位。

两个平台的动作高度一致：内容正在从“流量资产”变成“生意资产”。巨量星图数据显示，优质营销内容带动的GMV在二季度环比一季度增长142%；同期优质营销内容的平均播放量高出107%，而CPM下降92%——用更低的成本拿到更好的效果，已被数据验证。巨量星图同时给出优质营销内容的三个判定维度：体验真诚、信息充分、创作出众。这背后是信任生产方式的迁移，未来的信任将越来越依赖可辨认的身份、可核验的使用经历，以及有人承担责任的效果表达。

05灵狐的建议：品牌当下该做的三件事

第一，为AI准备可读的自己。把商品参数、卖点、适用场景、对比关系结构化，让AI能理解、能引用、能推荐。这不是SEO的延续，而是一套新的内容工程。

第二，把内容指标换成信任指标。收藏率、复访率、品牌词搜索增量、私信咨询量，应该和完播、点赞一起进入双11的监测。用旧尺子量新内容，只会得出错误的优化方向。

第三，让AI进组织，而不只是进素材。用AI承接夜间经营、素材生产、数据分析这些高频重复环节，把人的精力释放到策略判断与创意判断上。

双11走到今天，竞争的重心开始从“买到多少流量”向“在用户做决定的那一刻，AI是否推荐你、内容是否说服你”快速迁移，流量红利并未消失，但分配方式已从出价能力转向意图识别能力。灵狐认为，能被AI读懂，才谈得上被AI推荐；能被用户信任，才谈得上被用户选择。前者靠内容基建，后者靠内容质量。今年双11的胜负手，就藏在这两件事的执行深度里。

注：文/龚作仁，文章来源：Laborer，本文为作者独立观点，不代表亿邦动力立场。

文章来源：Laborer