Instead of initiating an attack on a competitor, ask the prospect what doubts they already have. This prompts them to articulate the negatives themselves. You can then validate their concerns and reinforce them with customer proof, making the prospect feel intelligent for their research while you guide the narrative.

When a prospect claims they have something (like SEO) under control, a salesperson can use an AI tool on the spot to query their business. Showing the prospect their lack of online visibility can instantly interrupt their pattern and create an opening for a deeper conversation.

Frame initial customer conversations around seeking advice on their biggest AI automation needs. This lowers their guard, provides valuable feedback, and often leads them to sell themselves on your future solution, making pre-selling easier.

Asking basic questions that could be answered by research makes you appear lazy. Instead, conduct pre-call research to form hypotheses about the prospect's business. Present these hypotheses with the goal of being corrected. This demonstrates preparation, raises your status, and invites a more nuanced conversation where the prospect corrects your understanding.

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.

Don't wait for prospects to reveal they're evaluating others. Assume they are and ask directly, "What companies are you looking at right now?" This normalizes the behavior, demonstrates your confidence, and allows you to frame the subsequent comparison on your terms rather than reacting defensively.

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 Asking why the information is outdated (e.g., "Why did you unwind your ESOP?")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.

Buyers don't want to educate you; they want to feel understood. Begin calls by presenting a hypothesis based on your research. This signals expertise, builds trust, and fosters a more natural, collaborative conversation rather than an interrogation.