AI workflow study / 互動研究
Google Ads agent.
An interactive Google Ads study for checking campaign structure, search intent and landing-page relevance.
有意圖的工作流
Bring intent, message and destination together.
理解輸入。給出有用的建議。把最終決定交給評審者。
背景
一個聚焦的任務。
一個有用的下一步。
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
以互動工作流原型的形式構建。演示使用預先定義的範例回應，不連接 AI 模型或真實業務系統。
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.
工作內部
圍繞決策
而設計。
- 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.
工具與技術