The first conversation with a target CEO shouldn't focus on the deal. Instead, focus on their personal story to uncover their core motivation—money, legacy, or team success. This "why" provides the key to framing the acquisition in a way that resonates with them and dictates the entire negotiation strategy.

Instead of personally answering questions from over 20 stakeholders, OneMind's CEO directed them to their AI agent, "Mindy." This allowed for asynchronous, instant information retrieval, dramatically accelerating the complex enterprise sales cycle.

Withholding price creates uncertainty and makes potential buyers disengage. Providing a price range upfront helps buyers self-qualify, preventing wasted time for both parties and turning qualified prospects into internal champions who can find the right budget holder.

Having a customer like OpenAI is the ultimate sales leverage. When asked about handling enterprise scale, the founder simply replied, "we power ChatGPT." This single data point instantly resolved all credibility concerns and shut down further diligence questions.

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.

Instead of relying on subjective feedback from account executives, Vercel uses an AI agent to analyze all communications (Gong transcripts, emails, Slack) for lost deals. The bot often uncovers the real reasons for losing (e.g., failure to contact the economic buyer) versus the stated reason (e.g., price).

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.

For each potential buyer, create a new ChatGPT project. Upload your standard offer template, product overview, and all prospect-specific data (CRM info, call transcripts). Prompt the AI to synthesize these documents into a unique proposal that directly addresses the buyer's expressed pain points and priorities.

Instead of lowballing, Bending Spoons makes a very fair, near-final offer immediately. This tactic builds a reputation for seriousness, similar to Warren Buffett's approach. It avoids lengthy back-and-forth and signals that they are not a buyer that can be "pushed around," creating an efficient and powerful deal-making process.