AI workflow study / Интерактивный кейс
Google Ads agent.
An interactive Google Ads study for checking campaign structure, search intent and landing-page relevance.
Процесс с намерением
Bring intent, message and destination together.
Понять вход. Сделать полезное предложение. Оставить финальное решение ревьюеру.
Контекст
Точечная задача.
Полезный следующий шаг.
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
Создано как интерактивный прототип процесса. Демонстрация использует заранее заданные ответы на примерах и не подключается к ИИ-модели или живой бизнес-системе.
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.
Внутри работы
Спроектировано вокруг
решения.
- 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.
Инструменты и технологии