Beyond ‘Tricks’: John Barrows on Navigating AI Gatekeepers with Relevance

In a recent LinkedIn post, sales training expert John Barrows addresses the growing challenge of bypassing AI gatekeepers in cold outreach. Barrows clarifies that the common question about “tips or tricks” for getting past these automated systems misunderstands the nature of the obstacle.

Barrows asserts that AI call screeners are not a fundamentally new problem requiring novel tactics. Instead, they amplify the need for a discipline that effective sales professionals have always employed: providing a clear, relevant, and personalized reason for the call.

“First off, ‘tricks’ don’t work for AI call screeners just like they don’t work for live call screeners. There’s no magical thing you can say that’s going to make an AI agent let you through.”

Understanding the AI Gatekeeper’s Purpose

According to Barrows, the key to understanding AI gatekeepers lies in recognizing their true function and the underlying human element. He explains that AI is merely the tool; the actual intelligence behind the screening comes from the human who programmed the rules or listens to the messages.

Barrows argues that a call screener’s objective isn’t absolute blockage, but rather to filter for relevance. He poses a scenario where a screener would fail their duty by blocking a sales professional whose services could genuinely help a struggling executive.

“Remember, AI isn’t the actual screener, the person who is listening to your message and/or wrote the screening rules is,” Barrows points out. He emphasizes that the onus is on the caller to provide a compelling reason to be connected.

The Power of Relevance and Personalization

Barrows’ core advice for navigating both AI and human gatekeepers is consistent: provide a relevant and personalized reason for the call, ideally informed by recent research or a trigger event.

He contrasts ineffective, generic opening lines with examples of calls that demonstrate research and provide immediate value proposition. A typical ineffective approach, as Barrows illustrates, is:

“Hi, this is Sarah from XYZCompany. I’d like to talk to David about our platform.”

This, he notes, lacks any context, relevance, or discernible reason for the call. In contrast, Barrows offers several examples of effective openings, each under 15 seconds, designed to earn the next 30 seconds of conversation:

• “I’m calling because I saw your Q2 numbers came in a little light. I wanted to talk to David about what’s working for other sales leaders rebuilding pipeline right now.”
• “I’m calling because I saw you have 15 open sales roles posted. I wanted to talk to David about how other teams are onboarding that many new reps without it falling apart.”
• “I’m calling because I noticed your team rolled out Gong recently. I wanted to talk to Sarah about what separates the teams where those tools actually work from the ones where they don’t.”

Focusing on the Next Step

John Barrows stresses that the goal of a cold call, especially when facing a gatekeeper, is not to close a sale but to secure the subsequent interaction. “Remember, during a cold call you’re job isn’t to sell your solution, it’s to sell the next step,” he writes.

By focusing on piquing interest with a well-researched, relevant reason, callers can demonstrate their professionalism and the potential value they offer, thereby earning the opportunity for a more in-depth conversation. Barrows concludes by reiterating that AI gatekeepers are simply forcing a necessary discipline:

“AI gatekeepers aren’t a new obstacle. They’re forcing a discipline the best reps already had. If you can’t articulate why you’re calling before you pick up the phone, you’re not ready to dial.”

He invites further discussion, genuinely curious if others have found consistent approaches beyond this fundamental principle of relevance.