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Saved February 14, 2026
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This podcast episode features Noah Greenberg, CEO of Stacker, discussing the transition from SEO to Generative Engine Optimization (GEO) in the age of AI. He explains how earned media and brand mentions now play a crucial role in visibility within AI-generated content, emphasizing the need for collaboration between PR, content, and SEO teams.
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In a recent episode of The Long Game Podcast, Noah Greenberg, CEO of Stacker, sheds light on the evolving landscape of content distribution. He emphasizes a shift from traditional SEO to what he terms Generative Engine Optimization (GEO). This transition reflects a new focus: brands need to be cited in AI-generated answers rather than just ranking high on Google. Greenberg argues that earned media, including brand mentions and press releases, is becoming more critical for visibility in AI interfaces like ChatGPT and Gemini.
Greenberg also highlights how distribution plays a vital role in increasing a brand's chances of being included in AI responses. He notes that content published broadly can lead to rapid citations, sometimes within just 24 hours. The podcast underscores a blurring of lines between PR, content, and SEO, suggesting that teams must collaborate more effectively to enhance brand visibility in this AI-driven environment. Traditional metrics like backlinks are being replaced by newer indicators focused on visibility and trust, demanding a shift in how success is measured.
The discussion reveals that the rise of AI search has rekindled interest in press releases as tools for enhancing visibility. Founders are encouraged to think like media companies to maintain relevance. Stacker's growing demand post-LLM (Large Language Model) surge illustrates a market shift, where brands need to adapt their strategies to thrive in an era where AI significantly influences media visibility.
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