AI workflow study / دراسة تفاعلية
Google Ads agent.
An interactive Google Ads study for checking campaign structure, search intent and landing-page relevance.
سير عمل بقصد
Bring intent, message and destination together.
افهم المدخل. قدّم مقترحًا نافعًا. واترك القرار النهائي للمراجع.
السياق
مهمة مركزة.
خطوة تالية نافعة.
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
بُني كنموذج أولي تفاعلي لسير العمل. يستخدم العرض ردودًا نموذجية معرّفة مسبقًا ولا يتصل بنموذج ذكاء اصطناعي أو نظام أعمال حي.
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.
داخل العمل
مصمم حول
القرار.
- 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.
الأدوات والتقنيات