In a recent LinkedIn post, John Barrows discusses the current trend of SaaS companies bolting AI layers onto their products, arguing that many are addressing the wrong problem in sales.
Barrows contends that the real struggle for sales representatives isn’t a lack of automation, but rather the poor quality of the messaging they input into these AI systems. He highlights that generic value propositions, lacking trigger events, persona specificity, and relevance, are leading to reps sending bad outreach at scale, rather than manually.
“The reps I talk to aren’t struggling because they lack automation. They’re struggling because the messaging they’re feeding INTO the machine is garbage.”
The Garbage In, Garbage Out Principle for Sales AI
John Barrows elaborates on this core issue, emphasizing that the effectiveness of AI in sales is fundamentally tied to the data and strategy it’s fed. He shares his own experience building a prospecting workflow, integrating Claude with Apollo.io’s MCP Connector, to illustrate his point.
Input Quality is Paramount
According to Barrows, the success of his AI-driven workflow stems from the quality of the information he provided. He states:
“THE QUALITY OF WHAT COMES OUT IS ENTIRELY DEPENDENT ON WHAT YOU PUT IN.”
Barrows explains that he fed his established messaging framework, Ideal Customer Profile (ICP), and trigger-based sequences into the AI. This foundational work, he argues, is why the system is effective. He clarifies that his intention is not to increase the volume of outreach, but rather to leverage AI for the crucial research that he previously lacked the time to conduct thoroughly.
AI as a Research Assistant, Not a Replacement
John Barrows positions AI not as a tool to automate more tasks, but as a way to enhance the quality of sales efforts through better research. He points out that his use of AI is focused on performing the detailed research that is essential for effective outreach but often gets sidelined due to time constraints.
Revisiting Core Sales Principles
Barrows’s insights underscore a return to fundamental sales principles, even as technology advances. He suggests that before implementing new tools, companies need to ensure their core messaging and targeting strategies are sound.
“I’m using it to do the research I always knew was the right thing to do but never had time to do properly.”
He further notes that the concept of “sales-ready messaging” is often misunderstood, with many companies failing to get this right before adopting any technology. This emphasis on foundational strategy is key to his perspective on the effective use of AI in sales.
Upcoming AMA on Sales Workflow and AI
John Barrows announced an upcoming Ask Me Anything (AMA) session on May 19th at 11 AM ET in the Apollo subreddit. He plans to discuss the practicalities of building his workflow, his morning routine, the definition and importance of “sales-ready messaging,” challenges with personalization, his switch from ChatGPT to Claude, and the implications of AI for Sales Development Representatives (SDRs).
This session aims to provide practical guidance and address concerns surrounding the integration of AI into sales processes, reinforcing Barrows’s view that strategic input remains the critical factor for success.
📝 About This Content
This article is based on insights shared by John Barrows on LinkedIn.
📅 Originally posted on May 14, 2026 | View original post on LinkedIn →