2 min read

Can an AI marketing OS really think like a CMO?

Inside my demo with Dojo AI, from Lucky Saint campaigns to zebra striping trends
Can an AI marketing OS really think like a CMO?

I sat down with Duarte Garrido and Luke Costly-White to see what DOJO AI calls an “all-in-one AI Marketing Operating System”. Big claims, but then again, these are undoubtedly “big claim” days we are living in, so I wanted to see what that actually looks like in practice.

Luke’s story already makes this demo interesting. Luke began as a DOJO power user, then became an angel investor, and now works at the very company he backed (for those who read my piece on reference calls with angel investors: this one isn’t on the sidelines anymore).

The demo itself was striking. They chose Lucky Saint, a non-alcoholic beer brand that isn’t even a customer, as the live case. In about 30 minutes, DOJO pulled:

  • Voice of customer research from Reddit and LinkedIn conversations
  • Discovery of an emerging behavioral trend: zebra striping (alternating alcoholic and non-alcoholic drinks, this was new to me)
  • Sentiment analysis showing Gen Z adoption and TikTok chatter
  • SEO/AEO gaps where Lucky Saint was absent but competitors like Athletic Brewing were present
  • A mocked-up campaign image, the classic Lucky Saint can re-imagined with zebra stripes, ready for social or PR angles
DOJO AI: From research, to strategy, to preparation, to execution.

All of this happened inside DOJO’s platform, without Lucky Saint’s first-party data. The promise is crystal clear → speed, integration, and strategic lift for smaller teams that can’t afford a 50k/month agency retainer.

Yes, the product is still young. But the vision of turning marketers back into strategists (not dashboard operators) feels like a future worth watching especially in how it might start to level out the playing field.

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