摘要
Google正式发布AI驱动的新产品Ask Advisor，旨在通过统一体验连接旗下多个广告与分析平台，包括Google Ads、Google Analytics及Google Marketing Platform。该工具基于现有产品中已部署的AI代理（如Merchant Center即将加入），构建了一个持续协作的智能助手，能够主动提供个性化推荐，帮助广告主节省时间并实现业务目标。
Ask Advisor的核心能力在于协调跨产品的专家代理团队，作为全天候的协作伙伴，贯穿广告活动的全流程。例如，广告主只需输入“为我的护发产品寻找新客户”，Ask Advisor便会自动从Merchant Center提取产品详情，在Google Ads中设置新广告活动，将想法转化为实际投放仅需数次点击。
该工具还解决了跨平台数据孤岛问题，通过融合Google Ads和Google Analytics的数据，主动呈现有价值的洞察。它能理解广告主的原始目标，清晰解释哪些策略有效，并推荐下一步优化动作。这意味着无论是数据专家还是普通营销人员，都能获得最佳洞察和成果，将精力重新聚焦于战略层面的思考。
目前，Ask Advisor已面向英语账户开放beta测试，未来几个月将陆续推出更多新功能。这一举措进一步降低了广告技术门槛，使增量提效和归因分析等复杂任务变得直观易用，有望重塑用户获取和广告变现的投放策略。
分析师点评
值得关注的是，Google 将分散的 AI 代理整合为统一体验 Ask Advisor，这标志着广告平台从单点 AI 工具向系统性智能体协作的跃迁。当前行业竞相布局生成式 AI 辅助广告，但多停留在独立功能层面（如自动出价、文案生成），而 Ask Advisor 通过跨产品数据打通（Google Ads、Analytics、Merchant Center）实现端到端任务闭环，例如从用户意图直接触发广告创建，这实质是对传统广告操作流程的重构。从竞争视角看，此举显著提升了 Google 在 AI 营销赛道的壁垒——其多产品生态的数据协同能力是 Meta、Amazon 等竞争者短期内难以复制的。
对从业者而言，尽管目前仅限英语 Beta，但方向已明晰：未来广告优化将不再依赖手动跨平台分析，而是由统一智能体自动关联目标、行为与成效。该趋势既可能降低入行门槛，也要求现有运营者强化对 AI 响应逻辑的理解，以适应从“操作者”向“审核者”的角色转变。
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