Don't let an AI agent generate sales copy from scratch. The key to creating high-quality, effective outreach is to train the model using the proven email templates and scripts from your highest-performing salesperson. This provides a strong baseline for the AI to iterate and test from.
Don't expect an AI agent to invent a successful sales process. First, have your human team identify and document what works—effective emails, scripts, and objection handling. Then, train the AI on this proven playbook to execute it flawlessly and at scale. The AI is a scaling tool, not a strategist from day one.
Instead of writing scripts from scratch, prompt an AI to apply a specific sales methodology (e.g., Jeb Blount's 'because framework') to your prospect's context. This instantly creates persona-specific openers and voicemail scripts, saving creative energy and ensuring consistent messaging during call blocks.
To make ghostwritten content sound authentic, train a custom ChatGPT on an executive's past writing, such as emails or Slack messages. This helps capture their unique voice and tone, making drafts significantly closer to their natural style.
The quality bar for AI sales outreach isn't perfection; it's simply being better and more consistent than your average human SDR. A 'pretty good' email sent consistently without errors is sufficient to generate high response rates and outperform the variable quality of human efforts. Don't let the quest for the perfect email stall implementation.
Avoid using AI to create sales outreach from scratch ('black pen'). Instead, use it as an editor ('red pen'). Apply the 10-80-10 rule: 10% human-led prompting, 80% AI-driven task execution, and a final 10% human refinement. This maintains quality while boosting efficiency.
Outbound AI tools fail without dedicated human oversight. Qualified found success by having a person manage the AI agent daily, ensuring its personalized emails are better than a human's. The secret is treating the AI as a tool to be managed, not an autonomous replacement.
Don't just "turn on" an AI sales agent and expect results. The only path to success is to first identify what works with your human reps—the scripts, the process, the data. Then, you must manually train the AI on that proven playbook, iterating and refining its performance daily for at least a month. The AI automates success; it doesn't create it from scratch.
Unlike training a human, feeding an AI SDR historical 'good' emails can limit its effectiveness. The better approach is to train it on core personas and ways to add value, allowing the AI to use its ability to scrape vast, real-time data for hyper-personalization.
Consistently feed your AI tool information about your company, products, and sales approach. Over time, it will learn this context and automatically tailor its sales prep output, connecting a prospect's likely problems directly to your specific solutions without needing to be reprompted each time.
For superior AI-generated content, create a persistent knowledge base for the model using features like Claude's "Projects." Uploading actual sales call transcripts and customer interviews trains the AI on your specific customer's voice and pain points, resulting in more authentic and targeted marketing copy.