Amazon Sellers: Your PR Strategy Is Missing Content Marketing
I've watched Amazon sellers throw money at PPC campaigns like they're feeding quarters into a slot machine, hoping the next pull will hit the...
2 min read
Cassandra Mellen
:
Mar 23, 2026 5:45:00 AM
I've been watching PR teams stumble through AI adoption for months now, and honestly? It's like watching someone try to use a Ferrari as a paperweight.
According to Bo Breuklander from Breuklander Communications, there's a pattern emerging across industries: "random prompts, siloed experimentation and no clear line tying AI use to key business measures." Sound familiar?
The real kicker isn't that some people are AI-phobic while others are prompt-engineering their grocery lists. It's that even teams with identical tools and training are getting wildly different results. That's not a technology problem—that's an operational disaster waiting to happen.
Here's what I learned from watching teams succeed with AI: stop trying to find sexy new ways to use it and start anchoring it to workflows you already have.
Breuklander breaks this down perfectly with crisis monitoring. You've got your monitoring setup, you verify info, send alerts, draft messages, segment stakeholders, distribute, and monitor response. Now figure out where AI actually helps versus where it just adds complexity.
Maybe your custom GPT summarizes 200 angry comments into five themes. Maybe it flags weird sentiment shifts. The key is maybe—test one friction point at a time instead of trying to AI-ify everything at once.
Think of it like renovating a house while you're living in it. You don't rip out all the plumbing on day one.
I see teams paralyzed because they don't know what's allowed. Meanwhile, their competitors are moving faster because they've figured out simple boundaries.
According to Breuklander, you need three things: an approved tool list (even if it's one page), a basic usage guide covering what not to input and where humans stay involved, and quality standards that actually make sense.
His example hits home: "Imagine a regional communications manager drafting a CEO memo. With the right guardrails, she knows she can safely use AI for structural drafting, but final messaging alignment stays human-led."
This isn't about creating a 20-page policy nobody reads. It's about giving your team enough confidence to actually move forward.
Every team has that person who "gets it"—the one experimenting productively while everyone else is still figuring out basic prompts. They're usually not managers, but they've cracked the code.
Stop pretending this is going to happen organically. Formalize their role. Let them run monthly "AI in action" sessions. Create shared prompt libraries. Celebrate small wins publicly.
The goal is moving from "isolated experimentation to shared capability," as Breuklander puts it. Confidence builds through repetition and knowing what comes next.
The operational AI gap is already showing up as uneven confidence, team misalignment, and reporting that doesn't actually help leadership make decisions. You can't fix this by buying another tool.
Start with one core workflow—maybe media monitoring, maybe executive briefings, maybe crisis response. Map it end-to-end, identify where AI actually removes friction (not where it sounds cool), and test improvements systematically.
Create simple guardrails that build confidence instead of creating red tape. Find your internal champions and give them a platform to share what's working.
Most importantly, stop waiting for enterprise-wide perfection. Your competitors aren't.
The stakes are reputation, speed, stakeholder trust, and executive credibility. The good news? Closing this gap doesn't require a massive overhaul—just clarity, structure, and the discipline to focus on what actually moves the needle.
Need help developing an AI strategy that actually works for your PR team? Winsome Marketing specializes in turning marketing and communications challenges into competitive advantages.
This post was originally inspired by How communications leaders can close 2026's most dangerous AI gap via prdaily. We encourage you to read the original piece for full context.
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