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Ep 62: How to Build a Brand AI Recommends (Part 2)

Dela

If AI is becoming part of the buying journey, how should brands actually prepare?


In Part 2 of this series, Aves moves from theory to execution, breaking down the research process behind building a brand that's positioned for both human buyers and AI recommendations.


The episode covers how to identify market white space, analyze competitors, build stronger personas, and create messaging that supports both brand storytelling and long-term brand reinforcement.


You'll learn:

• Why competitor research should go beyond direct competitors

• How AI search can uncover opportunities in your category

• A framework for identifying untapped market positioning

• Why broad messaging is becoming less effective

• How to build personas from real customer behavior

• The message box framework for stronger creative strategy


Whether you're building a DTC brand, leading creative, or thinking about the future of ecommerce, this episode offers a practical framework for developing strategy before you ever make an ad.


00:00 Why most brands market the wrong way

01:39 Part 2: AI shopping strategy

04:31 Brand storytelling vs. brand enforcement

06:23 Where every creative strategy starts

07:20 Building a competitor matrix

12:06 Using AI search to find market gaps

15:25 Finding your brand's white space

18:55 Why niche beats broad

21:17 Building personas from research

23:01 The muse framework for better creative

24:57 The message box framework

26:19 Turning research into strategy

28:15 Preparing for AI-driven Q4 shopping

29:13 What's coming in Part 3


Work with Pilothouse: ⁠https://www.pilothouse.co/get-in-touch?utm_source=dtc&utm_medium=podcast&utm_content=e&rPodcast⁠

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