How Google’s Ad Agencies Cut Strategy Research Time by 98% with AI Automation
Published By
Pokee AI Team
Published on
January 12, 2026
Summary
Google’s agency partner network faced a bottleneck: creating expert-level ecommerce strategies took three days per brand. By implementing Pokee’s Structured Deep Research platform, they automated the entire workflow—from historical data scraping to slide deck generation. The result was a 98% reduction in turnaround time, a 10x ROI, and standardized, high-quality outputs across hundreds of brands.
In the fast-paced world of ecommerce, speed is a competitive advantage. Yet, for years, the most critical part of the process—strategy development—remained a manual, labor-intensive hurdle. Google’s Ads and Agency Partner Network discovered that even the most talented analysts were spending over 72 hours per report just to synthesize data from fragmented sources.
While tools like Gemini and ChatGPT helped with specific tasks, they couldn't handle the "last mile" of integrated strategy and presentation. To bridge this gap, Google turned to Pokee AI. This case study explores how they moved from a 3-day manual cycle to a 30-minute automated powerhouse.
How Google Automated Research & Analysis for Its Ad Agency Network, Cutting Time by 98%
Client
Google — Ads and Agency Partner Network
Outcomes
- Research and strategy cycle reduced 98% from 3 days to 30 minutes
- 10x ROI driven by faster turnaround, broader analytical coverage, and higher consistency
- Deployed across dozens of agencies, supporting hundreds of ecommerce brands
The Challenge: Expert-level Ecommerce research, analysis, and strategy - On Demand
Google’s agency partners help ecommerce brands make decisions on pricing, promotions, and positioning. To do this, agencies must pull together data from many sources—client sites, competitors, marketplaces, ads, and past campaigns—and turn it into a clear, actionable strategy report.
In practice, this work took 3+ days per report. Quality varied by analyst, and key historical context was often missing. Multi-year pricing and promotion data was simply too hard to collect, so reports were incomplete and inconsistent.
Agencies tested point solutions, including Gemini and ChatGPT, but these only sped up small parts of the process. The overall workflow remained slow, manual, and difficult to scale.
Google needed a solution that could:
- Automate the entire research and strategy workflow
- Reconstruct historical pricing and promotion behavior at scale
- Produce a single, coherent strategy—not disconnected insights
- Deliver execution-ready Google Slides that matched agency templates exactly
The Solution: End-to-end strategy automation with Pokee
Google chose Pokee AI after testing showed that existing tools including Gemini could not handle the full workflow. Pokee’s Structured Deep Research platform was designed specifically to automate complex research and strategy work end to end.
For Google’s agency network, Pokee AI built a single workflow that takes a brand and target season as input and produces a complete pricing and promotion strategy in ~30 minutes.
The system:
- Automatically gathers current and historical data from first-party sites, marketplaces, ads, and social channels
- Reconstructs multi-year pricing, discounting, and promotion patterns for both the client and competitors
- Runs coordinated analysis across pricing, positioning, messaging, and channels so outputs align
- Generates a full strategy and an execution-ready Google Slides deck directly in Google’s template
Each output is ready to present immediately, with no additional research, synthesis, or formatting required.
Results: Faster cycles, broader coverage, higher consistency
With Pokee AI in place, Google’s agency partners moved from slow, manual strategy work to a fast, repeatable system.
- Research time dropped by 98%, from 3+ days to ~30 minutes
- At Pokee AI price this represents a ~10x ROI for end agencies given labor costs, not including faster sales-cycle and higher win-rate given better reports
- Report quality increased, with deeper historical context than agencies had before
- Outputs became consistent, regardless of analyst or agency
- Execution detail improved, with pricing systems, timing, and messaging built into every deck
| Capability | Before | With Pokee AI |
|---|---|---|
| Time per strategy | 3+ days | ~30 minutes |
| Data collection | Manual, fragmented | Fully automated |
| Historical pricing & promotions | Rarely included | Reconstructed and analyzed |
| Strategic integration | Analyst-dependent | Coordinated and repeatable |
| Output quality | Variable | Standardized and pitch-ready |
Agencies can now support more clients, respond faster to market changes, and explore more scenarios—without sacrificing rigor.
The solution has been rolled out across dozens of Google partner agencies and is used to support pricing and promotion strategy for hundreds of ecommerce brands.
Conclusion
By automating research, historical analysis, strategy development, and reporting end to end, Google’s agency partners:
- Reduced strategy turnaround time by 98%
- Delivered better outputs than prior manual reports
- Achieved a 10× ROI on a core workflow
Pokee AI works by encoding a team’s exact requirements—data sources, logic, formats, and templates—into a system that runs on their platforms and produces outputs to their standards. No process change required.
By removing the time and coordination limits of manual work, Pokee AI enables more sophisticated, higher-quality analysis than teams could realistically produce before—even with expert effort.
If your organization has important work that remains manual because it’s considered “too complex to automate,” Pokee AI is built for exactly that category of problem.
Ready to identify your highest-value automation opportunity?
Schedule a 30-minute discovery call or reach us at hello@pokee.ai.
Read the full example report and the full example slides for yourself!

Example report summary

Example report data chart