As Google rolls out AI Overviews and other generative features in Search, visibility is no longer limited to traditional blue links.
Brands now need to understand how their pages appear within AI-generated summaries.
To track this, businesses need a reliable mechanism to monitor their presence in both Google’s organic results and AI-driven overviews.
Some call it advanced SEO, while others name it GEO (Generative Engine Optimization). Geogen helps companies measure and improve that visibility. Their platform tracks how often and where brands are mentioned within Google’s AI Overviews and compares it with traditional organic rankings.
To power their product, they utilize APIs from Scrapingdog, specifically the Google Search & AI Overviews API.
We recently asked Patrick Dewald, the CEO of Geogen, about their challenges, how they chose Scrapingdog.
Here’s a testimonial that they were happy to give us in the video below: –
Challenges That the Geogen Team Had
Unlike traditional search tracking, analyzing AI results requires massive, clean, and contextual data.
Geogen team needed:
- Real-time Google Search data to compare conventional SEO visibility.
- Access to AI Overview responses to understand how AI systems interpret and rank brands.
- A fast, scalable, and accurate data provider to keep their insights reliable and current.
These requirements meant handling high concurrency, low latency, and large data volumes without compromising quality.
Why Geogen Chose Scrapingdog
After evaluating multiple vendors, Geogen found that Scrapingdog catered to all of their challenges:
- ⚡ Fast Response Times: Ideal for large-scale crawls and AI data extraction.
- 💪 High Success Rate: Even with complex queries and multiple geolocations.
- 🔄 Concurrent Processing: Allowed Geogen to collect massive datasets in minutes.
- 🧩 Intuitive API Playground: Enabled quick testing and seamless integration into existing pipelines.
Patrick Dewalt, CEO of Geogen.io, shared:
Our requirements were stringent. Scrapingdog exceeded our expectations in success rates, concurrency, and speed. Their API playground made integration effortless.
Scrapingdog APIs Behind Geogen’s Insights
Geogen uses two endpoints from Scrapingdog at the core of its data operations:
A. Google Search API
This API helps Geogen gather real-time SERP data from multiple regions, devices, and query types.
It’s used to:
- Monitor traditional keyword rankings.
- Compare performance with AI search results.
- Track competitors’ presence across geographies.
B. AI Overview API
The AI Overview API gives Geogen access to Google’s new AI-generated results, offering a first look at how AI summaries and recommendations mention brands.
By combining both APIs, Geogen can bridge the gap between old SEO and new AI visibility metrics, providing clients with deeper and more predictive insights.
Results Achieved by the Geogen Team
With Scrapingdog powering its backend, Geogen has achieved:
- 99% request success rates across thousands of queries.
- 3× faster data retrieval than previous providers.
- Greater accuracy in mapping AI-based brand mentions and context.
These improvements allow Geogen to deliver actionable GEO analytics further, enabling their users to optimize for both traditional search engines and AI overviews simultaneously.
