Data Radicals

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

Apr 2, 2025

47:03

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.
What CEOs and business leaders must do to operationalize AI successfully: from standardizing best practices to enabling faster, data-driven decisions.

If you're navigating the challenges of scaling AI in your GTM org — from data sprawl to inefficient workflows — this episode offers practical strategies, fresh perspectives, and a blueprint for AI-powered transformation.

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“ The most important problem to solve is how close can you get to customers? How close can you get everyone at the company close to the market and close to customers in every interaction? That's never been possible before. Content is one way that we take action. The other way we take action is how do we deliver the content? If we know who we are trying to reach out to now, we can predict and understand what content is going to be hyper-relevant to that person. Once you have that production process for content, now you can go create the content and distribute it right through your SDR, right to that account.” – Paul Yacoubian

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Time Stamps

*(02:18): Why high-quality content needs context

*(09:11): Best practices for leveraging LLM tools

*(11:42): The path to insight: from data silos to shared context – and better content

*(31:00): Which roles will be replaced or augmented by AI?

*(38:29): How should CEOs approach AI?

*(45:45): David’s takeaways

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Sponsor

This podcast is presented by Alation.

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