A repeatable AI prospecting system
By the end of Day 2 you will have:
- A prompt for researching any prospect in under 3 minutes
- A qualification framework powered by AI + your CRM data
- A first-touch outreach template that gets above-average reply rates
- A lead scoring prompt that mimics what enterprise AI tools cost $50K/year to do
The Old Way vs. the AI Way
Old prospecting workflow: spend 20 minutes researching a company on LinkedIn, their website, and news results. Write a custom intro by hand. Send. Repeat 15 times and call that a day's prospecting.
AI prospecting workflow: give Claude a company name and your ICP. Get a research brief in 90 seconds. Adjust the output, add your personal hook, send. Do that 60 times today.
The output quality is the same or better. The time per prospect drops from 20 minutes to 3.
Claude and ChatGPT don't have real-time internet access by default. For recent news, funding rounds, and job changes, still check LinkedIn and Google News. Use AI for the synthesis and framing, not the live data retrieval.
The Prospect Research Prompt
This is the single highest-leverage prompt in this course. Run it before every first call or email.
The output gives you enough to write a strong first email and run a tight discovery call — in 90 seconds of AI processing time.
AI-Powered Lead Scoring
Enterprise CRM platforms charge tens of thousands of dollars for AI lead scoring. You can replicate 80% of the value with a simple prompt and your existing data.
What lead scoring actually does
It assigns a score to each lead based on how closely they match your ICP (Ideal Customer Profile) — the characteristics of your best customers.
Run this weekly on your full pipeline. Copy-paste the output into a note in your CRM. You now have a record of why you prioritized each deal — which makes forecast reviews and pipeline calls much sharper.
Writing First-Touch Outreach with AI
The most common mistake: asking AI to "write me a cold email to [Company]." You get a template. Templates don't get replies.
The right approach: give AI the specific context it needs to write something that sounds like you did your homework.
Writing the subject line
Subject lines are often the difference between a 10% and a 35% open rate. Run them through a separate prompt:
Prospecting Tools Worth Knowing
Building Your Prospecting Workflow
The best AI prospecting workflows are simple. Complexity kills adoption.
- Source leads — Apollo, LinkedIn, CRM, referrals
- Score the list — Run the lead scoring prompt weekly, prioritize top 20%
- Research each prospect — Run the research brief prompt, save output to CRM note
- Write first touch — Run the cold email prompt with the hook from step 3
- Optimize subject line — 5 options, pick one, A/B test when volume allows
- Send and track — Use your email platform's tracking or Apollo sequences
Steps 2-5 for one prospect should take under 5 minutes with AI. That means you can run 12 high-quality personalized outreach sequences in an hour — work that used to take a full day.
Day 2 Summary
- AI compresses prospect research from 20 minutes to 3 — without reducing quality
- Lead scoring with AI replicates expensive CRM features using simple prompts
- Always feed AI specific context — generic prompts produce generic output
- Best tools: Apollo (data), Clay (enrichment), Lavender (email coaching), Perplexity (live research)
- Your workflow: Source → Score → Research → Draft → Optimize → Send
Day 2 Complete
Your prospecting is now AI-powered. Tomorrow: AI for communication — email sequences, follow-ups, and personalization at scale.
Day 3: AI for Communication →Want live instruction and hands-on practice?
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