Synthetic case study
From an industrial website to a reviewable Search campaign draft
This example shows how a fictional industrial supplier could move through the AI Ads Editor workflow. It is a product demonstration built with synthetic company, product, market and campaign information. It is not a customer testimonial and contains no performance claim.
1. Capture evidence and confirm the product
The fictional supplier’s public pages describe liquid filling equipment, supported container sizes and manufacturing applications. The analyzer records those page sources, while the operator confirms that automatic liquid filling systems—not every item on the site—are the priority.
2. Define the commercial brief
The operator selects the United States as the initial market, industrial distributors and factory buyers as customer types, and a validation budget. MOQ, customization capability and the definition of a qualified inquiry are reviewed before planning continues.
3. Review keyword themes
The mock keyword provider proposes product-core, specification, application, industry, purchase-intent and informational themes. The operator removes consumer-oriented terms, adds negative keywords, changes match types and assigns the remaining terms to clear ad groups.
- Automatic liquid filling machine
- Drum and bottle filling equipment
- Request-a-quote and supplier-intent themes
4. Create a paused draft
The confirmed choices become one Search campaign with budget, location, language, ad groups, keywords, negatives, responsive search ads and landing pages. The operator opens the existing editor, checks every resource and keeps the campaign paused.
What this synthetic example can and cannot show
- It demonstrates product workflow and data relationships, not advertising performance.
- Mock search volume, CPC and inquiry estimates are illustrative only.
- The example does not claim that the fictional supplier owns certifications or market leadership.
- No campaign is uploaded, enabled or connected to a real Google Ads customer.