Colaberry AI Podcast
Colaberry AI Podcast
Generative Engine Optimization: Dominate AI Search
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Generative Engine Optimization: Dominate AI Search

Redefining Visibility in the Age of ChatGPT, Gemini, and AI-Powered Discovery

In this episode of the Colaberry AI Podcast, we unpack a groundbreaking academic paper, Generative Engine Optimization: How to Dominate AI Search, by Mahe Chen and colleagues, which introduces a bold new concept—Generative Engine Optimization (GEO). As AI search engines like ChatGPT and Google Gemini increasingly replace traditional search, the rules for visibility and discoverability are changing forever.

The study’s large-scale experiments reveal that AI search engines systematically favor “Earned” media—trusted third-party sources—over Brand-owned content, a major shift from traditional SEO dynamics. The authors propose a GEO framework that emphasizes optimizing for machine interpretability, content credibility, and AI retrievability rather than keywords or backlinks. This episode explores how businesses, creators, and researchers must adapt their digital strategies to ensure their content isn’t invisible to AI-driven search systems, which are now becoming the default interface of online information.

🎯 Key Takeaways:
⚡ Generative Engine Optimization (GEO) is the next evolution beyond SEO
🤝 AI search engines favor authoritative, earned media over brand content
🔄 Machine-readable structure and semantic clarity are key to AI visibility
📜 Engine-specific strategies are essential for ChatGPT, Gemini, and beyond
🌍 The shift from search algorithms to generative reasoning engines

🧾 Ref: Generative Engine Optimization: How to Dominate AI Search – arXiv

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