Sales Call Prep in the AI Era: Why Research is Non-Negotiable

·17 min·1 clip

Bill declares sales call research non-optional in the AI era, challenging sellers who claim they're too busy.

The episode begins with the hosts discussing their podcast sticker promotion before transitioning to the main topic: sales call preparation in the AI era. Bill Caskey introduces the issue by recounting a conversation with a VP of sales who noted new sellers were entering calls unprepared. Bryan Neale reveals he had a similar experience with a client and provided a research prompt for AI tools. Bill emphasizes that research is mandatory, pushing back against sellers who claim they lack time. He demonstrates his first mechanical step: Googling a company and clicking the 'News' tab to find recent developments, citing an example where he discovered an $856 million partnership. Bryan then details his AI-focused approach, advising listeners to ask AI tools like ChatGPT or Claude to generate their own research prompts for companies and individuals. He explains the concept of system prompts in Claude's Projects feature, which automates the process. The hosts discuss using AI to research multiple companies simultaneously via spreadsheets. Bryan shares a strategy for crafting emails by asking AI to identify the biggest problems in a prospect's industry. Bill recounts a sales call where they transparently shared AI-generated information that was incorrect, using it as a conversation starter rather than a conclusion. Bryan highlights LinkedIn research for finding mutual connections and authentic talking points. The episode concludes with a warning: sellers who avoid AI will be replaced by competitors who use it effectively, and Bill speculates about future competitors with prompt engineers instead of sales teams. They promote their Insider training program before signing off.

As heard by us

A practical sales-call reminder to research the company before you speak.

Bill Kasky and Brian Neal make a plain case for sales-call prep: current company research matters, and AI can fit neatly into that habit. Using Eli Lilly as the example, they move from a quick Google news scan to headlines about an $856 million deal with Gate Bioscience and a…

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For the call where guessing is the expensive part.

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