How We Analyzed 8 Competitors' Google Ads in One Hour Using AI
TL;DR
We used Manus Browser to scrape 8 competitors' Google Ads data in 30 minutes, then fed it into a Claude Project loaded with our brand context. Result: a 15-page competitive strategy in one hour instead of days.
Cover: How we analyzed 8 competitors' Google Ads in 1 hour
1 / 10The mission
A lab-grown diamond jewelry brand needed to launch Google Search campaigns in France and Belgium. Before writing a single ad, we needed to know exactly what 8 direct competitors were running: headlines, keywords, extensions, positioning.
Manual research would have taken days. We needed it in one hour.
The two questions that shaped the workflow
Before picking any tool, we asked ourselves two things:
- How do we scrape competitor ad data at scale, fast?
- Which AI can analyze that data while knowing our brand inside out?
The answers pointed to two tools. Manus Browser for research. Claude Opus 4.5 for strategy.
Step 1: Claude Projects as the strategic brain
We created a Claude Project and loaded it with the brand's complete identity: positioning, tone, audience, pricing, differentiators. We call this the "Brand Bible."
With Extended Thinking enabled, Claude does not just answer. It reasons through the problem step by step. And because it is a Project, it remembers everything across conversations.
The limitation: Claude cannot browse the web. It needs data brought to it.
Step 2: Manus Browser for autonomous research
Manus browses the web like a human. One prompt, eight competitors. It navigated to each competitor's ads, extracted headlines, descriptions, keywords, extensions, and landing pages.
Output: a PDF summary plus an Excel file with 8 tabs of structured data.
Total time: 30 minutes for what would have taken 2 to 3 days manually.
The combo
We fed the Manus data into Claude. Because Claude already understood the brand, it did not just summarize. It found gaps in competitor messaging we could exploit, flagged keyword opportunities, and recommended differentiated headline angles.
Result: 15-page strategic analysis. One hour total.
Why this matters
The pattern works beyond Google Ads. Market research, procurement comparisons, content audits, recruitment screening. The principle is the same: combine a tool that collects with a tool that thinks.
The best AI results come from chaining specialized tools, not from expecting one to do everything.
About the Author
Co-founder
Samuel is the co-founder of TRAX AI, helping SMEs across Europe automate repetitive tasks with custom AI solutions. He works hands-on with clients from first audit to production delivery.