GoogleGoogle

Asset Studio is entering a new era of AI-powered creativity.

2026年5月20日·2 分钟阅读

摘要

Asset Studio作为Google Ads中的一站式创意素材开发平台,正借助AI重塑品牌创意生产与规模化投放的流程。平台能够深度理解营销简报、品牌指南、网站及广告目标,瞬间生成覆盖多种创意主题与素材类型的高质量资产,广告主可借助自然语言对素材进行精细化调整,确保视觉表达与投放策略的一致性与高效性。

在视频素材领域,Asset Studio即将集成全新的Gemini Omni多模态模型,支持广告主在同一界面内直接构建富有吸引力的视频内容,大幅降低视频制作的复杂性与时间成本。该能力将帮助品牌更灵活地应对不同渠道(如YouTube)对视频素材的差异化需求,强化用户获取(UA)与品牌故事讲述。

为保障投放效果的最大化,Asset Studio内置一键A/B测试(1-Click A/B Testing)功能,广告主无需切换工具即可对多个素材变体进行对比测试,系统根据预设目标自动识别表现最优的素材组合,实现数据驱动的创意优化与投放策略调整。

总体而言,Asset Studio通过AI生成、自然语言编辑、视频智能构建与自动化测试的闭环,显著降低了高质量创意素材的生产门槛和试错成本,助力品牌在Google及YouTube生态中实现增量提效。该系列新功能将于今年夏季以英语版本在全球范围内逐步上线。

分析师点评

值得关注的是,Google将Gemini Omni多模态模型整合进Asset Studio,标志着广告创意自动化从静态图像向动态视频的跃迁。这一举措直击广告主“素材疲劳”的痛点——尤其在短视频和YouTube生态中,视频资产制作成本与迭代速度长期制约投放效率。从竞争视角看,Google正以“生成+测试”闭环对标Meta的Advantage+创意工具与TikTok的自动化素材方案,试图在营销自动化赛道建立差异化壁垒。

对于UA经理与变现策略师而言,核心信号在于:AI驱动的创意生产不再停留于辅助工具,而是成为广告系统的原生能力,这意味着团队工作流需从“人创作-AI优化”转向“AI生成-人验收”模式。但同时需警惕模型输出同质化对品牌调性的侵蚀。

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