AI workflow study / 인터랙티브 연구
Google Ads agent.
An interactive Google Ads study for checking campaign structure, search intent and landing-page relevance.
의도가 담긴 워크플로
Bring intent, message and destination together.
입력을 이해합니다. 유용한 제안을 만듭니다. 최종 결정은 검토자에게 맡깁니다.
배경
집중된 작업.
유용한 다음 단계.
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
인터랙티브 워크플로 프로토타입으로 제작했습니다. 데모는 미리 정의된 샘플 응답을 사용하며 AI 모델이나 실제 비즈니스 시스템에 연결되지 않습니다.
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.
작업 속으로
결정을 중심으로
설계했습니다.
- 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.
도구와 기술