GTM is a Data Management Problem - How AI (& Better Data) Can Fix It with Copy.ai’s CEO, Paul Yacoubian

Episode notes

Generative AI is reshaping the way go-to-market teams create content, optimize workflows, and drive velocity - but only when it’s powered by the right context and data. In this episode of Data Radicals , Alation CMO David Chao sits down with Paul Yacoubian, CEO and co-founder of Copy.ai, to explore how large language models (LLMs) are transforming content creation and sales execution at scale. Paul shares lessons from building Copy.ai since 2020 and how his team is helping over 15 million users streamline operations through AI-powered automation. You’ll learn why content without context falls flat, how siloed systems slow down GTM execution, and why AI isn’t replacing roles - it’s augmenting them to unlock new levels of efficiency and insight. Listen to this episode to learn: How LLMs enable end-to-end automation by taking in data, executing workflows, and generating outputs - without manual bottlenecks. Why unifying siloed systems is critical to improving GTM velocity, content relevancy, and business decision-making. How AI is transforming - not replacing - roles like SDRs and marketers, and what that means for the future of sales teams.

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