Zappi’s CMO shares her secrets for building AI agents that nail brand voice, manage compliance, and more

By nkelly@hubspot.com (Nataly Kelly)

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“I tried using AI for our marketing content, but it just doesn’t sound like us.”

I hear this constantly from marketing leaders who’ve experimented with AI tools only to get results that feel generic or off-brand.

The problem? Most are approaching AI wrong, treating sophisticated technology like a vending machine. Insert prompt. Receive output. Hope for the best. Exceptional marketers take a different approach, viewing AI as a team member who needs proper training, clear examples, and ongoing feedback.

I‘ve seen this pattern in my work at Zappi and throughout my career in machine learning. Having worked with translation engines at HubSpot long before ChatGPT existed, I’ve developed a methodology for training AI agents that transforms them from generic content generators into true extensions of your team.

My Experience with AI Marketing Agents

For those new to this space, AI agents aren‘t just fancy chatbots. They’re specialized helpers that can work proactively on their own or as part of a team, unlike regular AI tools that just wait for instructions.

At Zappi, an AI-powered consumer insights platform, I’ve watched successful teams create specialized agents for specific tasks. These agents are more reliable than all-purpose AI assistants. Our customers use these specialized agents for concept development across different pieces of the product innovation process.

For example, one agent analyzes consumer feedback while another develops packaging concepts. A third focuses on in-store displays, while another handles ingredients and packaging content. Finally, a compliance agent reviews everything for policy alignment. These agents consult with each other through defined workflows, creating results dramatically better than using a single general-purpose AI.

Training allows teams to build these focused agents that can level up their workflows. Through my work at Zappi and my own experiences training AI agents for various marketing functions, I’ve developed a methodology that works consistently. Below, I’ll share my approach.

A Step-by-Step Guide to Training Your Marketing Agents

1. Be super clear on goals with specific examples.

The first and most crucial step is defining goals with specific context. Before I train any agent, I get painfully specific about what I want it to do. That means going beyond “help me with marketing content” and defining things like:

  • What the end goal is of the piece of content I’m developing.
  • What stage of the funnel I’m targeting.
  • Who the reader is.
  • What action I want them to take.
  • What’s worked well in the past.
  • What tone or format I want to use.
  • What to avoid based on previous failures.

It sounds obvious, but this is where many people go wrong. If your strategy is fuzzy, your agent’s output will be too. And yes, it’s tedious. But the more clarity you feed into your training process, the better your results will be.

Time-Saving Hack: If you‘re struggling to define goals, ask a generalist AI to help develop your plan. Sometimes marketers lack full context themselves. If you don’t understand it, …read more

Source:: HubSpot Blog

      

Aaron
Author: Aaron

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