AI tools are multiplying and evolving faster than most marketing teams can keep up with, and the pressure to use them is loud. Some of the hype has some merit, but not all tools are created equal. Adopting new tools without intention can create more noise than signal. At Root+Beta, we’re not anti-AI, but we are pro-strategy. That means being selective, staying honest about what’s actually working, and never letting the tool outrun the thinking. Here’s how we’re approaching AI, and the tools that have genuinely earned a place in our workflow.
AI Is a Tool. Treat It Like One.
The teams getting the most out of AI are the ones using it smartly. For us, that means optimizing the systems we already have in place rather than rebuilding everything around a new tool. We’ve found the clearest wins in three areas: research, organization, and first-draft creation.
Research
Effective research used to mean hours of digging, cross-referencing sources, and synthesizing data before you could even start forming an opinion. AI compresses that window dramatically. What used to take hours can now be synthesized in minutes. It’s especially useful for competitive research and staying current on industry shifts. It doesn’t replace the analysis, but it gets you to the starting line a lot faster.
Organization
From campaign ideas, content briefs, and meeting notes, AI is remarkably good at taking large volumes of information and turning them into something digestible. Leaning on these tools can dramatically reduce cognitive load. When your team isn’t buried in organizing inputs, they’re free to focus on the work that actually requires human judgment.
First-Draft Creative
The right tools can generate outlines, headline options, and draft copy in seconds. But here’s the thing: fast doesn’t mean finished. Make no mistake, heavy AI use should only be used in developing the first draft, not the finished product. Human input for final review, refinement, and strategic overlay is what turns a draft into something that resonates. Skipping that step is where things go sideways.
Where AI Still Needs Significant Oversight
AI can do a lot, but handing it the wheel will cost you. Human oversight is required in key areas.
Strategy
AI exists in a bubble. It doesn’t know your client’s history, their competitive dynamics, or the relationships that shape how decisions actually get made. Real strategy requires context that no model has access to. Using AI to shortcut that process is one of the fastest ways to end up with a plan that looks good on paper and falls apart in practice.
Messaging
Tone, voice, and nuance are hard to get right, and in agriculture, inauthenticity is immediately detectable. Farmers and ag business leaders can sniff out generic messaging from a mile away. The instinct and insider knowledge that strong marketing teams carry isn’t something you can prompt your way into. Messaging that misses the audience falls flat regardless of how clean the copy looks.
Audience Understanding
You can describe your audience to an AI model all day long, but it still won’t know them. Customer relationships, regional sensitivities, political dynamics, and the realities of ag business require lived experience and genuine partnership. That’s where Root+Beta’s value lives. It’s not something AI can replicate.
AI Tools R+B Stands By
Now that you have some understanding of our stance on AI, here’s what’s exactly in our toolkit and what each one does for us.
Generative AI Tools (ChatGPT, Claude, Gemini, Jasper, Copilot)
These are the every day tools we use for early-stage thinking. Our primary uses include: research acceleration, campaign brainstorming, content outlining, first drafts, HTML coding, and workflow planning. Generative AI helps us move faster through the groundwork, so our team can spend more time on strategy, creativity, and the client-specific insight that actually moves the needle.
AI Meeting Assistants
Root+Beta runs on collaboration, which means we have a lot of conversations and a lot of ground to capture. AI meeting assistants handle automated transcription, summarize key decisions, and generate action items without anyone needing to break focus. The result: our team stays present in the room, and nothing falls through the cracks afterward.
Research & Search Tools (Perplexity, Gemini, Copilot)
When we need to dig into a topic fast, spot emerging trends, or pull from multiple sources at once, these tools do the heavy lifting. They’re also increasingly relevant for Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO). Staying ahead of how AI-powered search is changing the way audiences find information isn’t optional anymore — you have to be in it to understand it.
Development & Coding Tools (Replit, Lovable, Claude)
The ability to move from idea to working solution in minutes — actual prototypes, functional tools, real builds — is still hard to fully comprehend. Yet, it’s made possible by these tools. Replit in particular has been a standout. What used to require significant development time and resources can now go from concept to working product faster than most teams can write a brief. Not taking advantage of that would be a real miss.
Where Marketers Get It Wrong With AI
The most common mistake we see is building AI-first frameworks before understanding where AI actually adds value. The question should never be “how do we use AI here?” It should be “what are we trying to solve, and does AI help us solve it better?” Those are very different starting points, and they lead to very different outcomes.
Critical thinking, strategic judgment, and creative intuition can’t be automated. When human oversight gets cut out of the process, quality suffers. In ag marketing especially — where audiences have a low tolerance for generic, inauthentic content — that cost is real and it compounds.
The marketers who will win with AI are the ones using it as an amplifier of strong thinking, not a substitute for it. Approach every tool with a specific problem in mind. Evaluate it honestly. Integrate it only where it genuinely improves the work.
That’s the Root+Beta approach: intentional, a little skeptical, and always asking whether we can do this better.