AI workflow study / 互动研究
Google Ads agent.
An interactive Google Ads study for checking campaign structure, search intent and landing-page relevance.
有意图的工作流
Bring intent, message and destination together.
理解输入。给出有用的建议。把最终决定交给评审者。
背景
一个聚焦的任务。
一个有用的下一步。
Search campaigns depend on the connection between a query, an ad and the page someone reaches. This prototype reviews fictional campaign structure and proposes checks for an account owner. It does not access Google Ads, change bids, spend budget or make performance claims.
Workflow design & interactive prototype
以互动工作流原型的形式构建。演示使用预先定义的示例响应，不连接 AI 模型或真实业务系统。
See the system
think in steps.
Choose a workflow, inspect the sample input and review the proposed output. You make the final call.
Review the structure and relevance of a fictional search campaign.
Sample campaign: Laptop repairs. One ad group mixes brand searches, general repair terms and job-seeking queries. The landing page describes a repair booking service. No account or performance data is connected.
- 01Read the sample campaign
- 02Check query and page alignment
- 03Prepare review recommendations
Your review workspace.
Run the example to reveal the proposed changes.
This browser simulation demonstrates the workflow and interface. Its sample responses are predefined; it does not call an AI model, access a store or publish changes.
工作内部
围绕决策
而设计。
- 01
A fictional campaign brief with mixed search intent.
- 02
A staged review of campaign grouping, query relevance and landing-page alignment.
- 03
Recommendations presented as review items rather than automatic account changes.
- 04
An approval state that remains local to the sample workflow.
工具与技术