Marketing Personalization
Weibo needed to create and moderate huge volumes of social content and ad copy every day while keeping quality and safety standards high. Manual editors could not keep up with the demand for personalized titles, comments, interaction flows, and promotional creative across a platform with hundreds of millions of daily users.
Reported impact
Weibo turned generative AI into a practical content engine across community interaction and advertising scenarios. The platform can create richer copy at scale, keep supply high when human editors cannot keep pace, and use AI to deepen engagement rather than limiting it to one experimental feature.
Weibo partnered with Alibaba Cloud Bailian and Qwen-Plus to add generative AI directly to content-production and engagement workflows. Instead of using a model only for experimentation, the platform combines Tongyi language-model capability with Weibo's own data resources so generated content fits the context and tone of the social network. Qwen-Plus is used to create AI comments that enrich discussion threads and improve community activity, and the same generative stack is being applied to celebrity interaction chat, virtual-character account operations, horoscope-themed applications, and feed-ad creative generation. In production, the key value is not just output volume but the ability to generate high-quality copy at scale while keeping content diversity and platform-safety expectations intact. This turns the model layer into a reusable content engine for multiple user- and advertiser-facing scenarios.
Content context and Weibo-specific data are passed to Bailian and Qwen-Plus, which generate comments, chat responses, and ad or editorial copy for downstream publication. Generated outputs are then used in interaction flows, virtual accounts, or advertising surfaces across the Weibo platform.
The company uses Qwen-plus to generate AI comments and combine Tongyi with Weibo's unique data resources for richer social applications. (original: 微博是通义大模型的先行外部合作伙伴，通过将通义大模型与微博独有的数据资源深度融合... 微博使用通义语言大模型 Qwen-plus 构造 AI 智能评论。)
Weibo has already deployed the system in AI comments, celebrity interaction, virtual-character operations, horoscope applications, and feed-ad creative generation. (original: 微博已在 AI 驱动的评论互动、AI 明星互动聊天、虚拟角色账号运营、星座主题大模型应用，以及信息流广告创意自动生成等多个领域成功部署。)
Weibo said it produces huge volumes of video, image, and text content every day and needs to push high-quality content precisely to different audience pools. (original: 微博每天会产生大量的视频、图片和文字等内容数据... 最核心的任务就是生产海量优质博文，精准推送优秀内容，实现千人千面。)
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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