The next wave of sales performance is coming not from more volume, but from smarter, more personalized outbound engagement.
This is the approach of JD O’Keefe, Senior Revenue Enablement Manager at Beekeeper, who has been experimenting with AI to transform warm outbounding—those middle-funnel prospects who have shown some interest but haven’t responded to initial outreach. JD’s insight: AI won’t make someone a better rep, but it will make them far more efficient, removing hours of manual research and enabling a “greater density of quality outbound messages.”
JD outlines three key elements of this shift:
Using AI to Replace Hours of Manual Research
Traditionally, sales reps have engaged in one of two approaches. The first group would spend hours digging into company websites, LinkedIn pages, press releases, and interviews to uncover useful insights in order to draft bespoke, highly relevant, and tailored messages. And the other would check a prospect’s LinkedIn, add a shout-out to the college they attended, and “call that personalized.” JD explains how his AI prompt automates that former process: “It extracts what would take a rep hours of deeper research to do, and then compiles, summarizes, and contextualizes the research.”
By analyzing the prospective company’s use cases, customer stories, buyer personas, and ICP, the AI is primed to find value quickly. It then inserts the customer’s own words and priorities/initiatives directly into structured outbound messages. The result: emails and content recommendations that feel specific, relevant, and timely.
Driving Dramatic Increases in Outbound Meetings
The impact of this approach has been immediate. In one pilot, JD saw the shift from one outbound meeting booked in a year to three outbound meetings booked in three weeks using AI-guided outbound messages.
The reason is clear: instead of canned sequences that are verticalized or persona-specific but static, AI enables messages to be rooted in the executive-level strategic priorities of each prospect. As JD puts it, “It’s very heavily about them and their language, and very lightly on what the company does.”
Contextualizing by Persona and Priority
Personalization is only effective if it speaks to the specific individual you’re reaching out to, not just the right persona. JD emphasizes how his approach tailors messages: “If you’re reaching out to the director of health and safety at a big construction company, it’s not going to pull in hiring retention targets. It’s going to talk about the lawsuit that’s created a $1 million liability and contextualize that to their world.”
This individual-driven specificity keeps messages under 75 words while still connecting directly to the challenges and language the buyer cares most about. In conclusion, JD’s work shows how AI can fundamentally reframe warm outbound and middle-funnel conversion. By automating research, contextualizing insights in the prospect’s language, and tailoring outreach to executive-level priorities, he is proving that personalization at scale is not just possible—it’s already here.
