Instead of only showing your solution, ask the prospect to share their screen and walk through their current workflow. This "reverse demo" vividly exposes flaws in their system, making the need for your solution painfully obvious to everyone on the call, as evidenced by a crashing Excel file.

After a promising sales call, combat 'happy ears' by feeding your meeting notes into an AI. Ask it to identify the top three reasons the deal might *not* go through. This provides an unbiased third-party analysis, revealing red flags and potential objections you can address proactively.

Leverage AI to conduct comprehensive research on a prospect's company, industry, and the specific individuals you're meeting. This allows you to bypass basic discovery questions and dive into more relevant, informed conversations, making the sales call more efficient and valuable for the customer.

Using AI to generate a pre-call hypothesis about a prospect's priorities is valuable even when it's wrong. Presenting a thoughtful, albeit incorrect, idea demonstrates research. This prompts the prospect to correct you, immediately opening the door to a deeper conversation about their actual priorities.

An advanced inbound AI agent does more than book meetings. By ingesting your website, tracking visitor behavior, and having contextual conversations, it provides the sales team with such deep pre-qualification that the initial discovery call becomes unnecessary, allowing reps to jump directly into problem-solving.

Move beyond static scripts by using AI for dynamic sales training. Feed ChatGPT your call transcripts and common objections, then ask it to act as a specific buyer persona. Practice handling its objections in a role-playing chat, and conclude by asking it to provide a score and feedback on your performance.

About 15% of buyers now feed sales proposals and terms into AI models, asking them to "poke holes in it." Salespeople must anticipate this by preparing for more technical negotiations, shoring up their own proposals, and understanding how AI might critique their offers.

When AI-driven research proves wrong during a sales call, it's not a dead end. Use the inaccuracy as a springboard for deeper discovery. Asking why the information is outdated (e.g., "Why did you unwind your ESOP?") can lead to a more meaningful conversation and reveal valuable business context.

Clogging a sales calendar with unqualified prospects is a major bottleneck. Deploy an AI voice agent to call new leads and ask a single, ruthless qualifying question. This immediately filters out bad fits, freeing up sales reps to focus only on high-probability deals.