6 AI prompts To Help You Launch Outbound in 2025 (10x Faster)
Want to launch a differentiated outbound campaign in 2025?
This week, I spoke with 2 GTM leaders from early-stage companies trying to launch outbound. Both said the same thing:
"I'm struggling to create messaging that gets replies. I feel like I've tried it all, but I'm obviously missing something."
The issue was obvious:
No clear ICP
Generic messaging
No connection to the pain they actually solve
Sounded like every other vendor in the inbox
Sound familiar? You're not alone.
Most early-stage outbound fails for these exact reasons.
If you’re launching outbound in 2025, this newsletter will help you launch and iterate faster, starting today.
Below are 6 plug-and-play AI prompts to help you:
Analyze your customer data
Prioritize pain points
Finding where prospects reveal those pain points online
Build 5 Micro-Segments
Pick 1 segment:
Identify buying signals
Build 3 outbound campaigns
All you need to do?
Just follow the steps → drop in your details → launch directly in your system.
These prompts work well with both Claude Opus 4 & ChatGPT o3.
Let’s dive in.
P.S. Quick tip: Bookmark this post!
You’ll want to come back to it as you build.
Step 1: Deep Company Analysis
Before you start prospecting, you need to understand exactly what business impact you create. Most founders think they know their value proposition, but they're usually describing features, not business outcomes.
Act as a world-class market research analyst with 10+ years of experience in B2B customer analysis.
**Your Task:** Analyze
-[YOUR COMPANY WEBSITE URL]
-[YOUR COMPANY CASE STUDY PAGE URL]
-[YOUR COMPANY G2 URL]
to uncover the deepest customer insights that will fuel high-converting outbound campaigns.
**Research Framework:**
**1. SOLUTION IMPACT ANALYSIS:**
- What specific business problems does [YOUR COMPANY] solve?
- What measurable ROI/impact do their customers achieve? (Look for case studies, testimonials, reviews)
- What happens if prospects DON'T solve these problems?
- What alternatives are prospects using today?
**2. CUSTOMER SUCCESS PATTERNS:**
- Analyze 5-10 customer testimonials/case studies for common themes
- What words do customers use to describe their pain points?
- What business metrics improved after using [YOUR COMPANY]?
- What was the "last straw" moment that made them buy?
**3. COMPETITIVE POSITIONING:**
- How does [YOUR COMPANY] differentiate from competitors?
- What unique value do they provide?
- What do G2/Capterra reviews reveal about strengths/weaknesses?
**Output Format:**
1. **Core Pain Points** (ranked by intensity 1-10)
2. **Customer Impact Metrics** (specific numbers/percentages)
3. **Differentiation Hooks** (what makes them unique)
4. **Customer Language** (exact phrases prospects use)
**Research Sources:** Company website, case studies, reviews, LinkedIn posts, industry reports, G2, Reddit.
Variables to replace:
[YOUR COMPANY WEBSITE URL] = Insert your actual website URL
[YOUR COMPANY] = Insert your company name
[YOUR COMPANY CASE STUDY PAGE URL] = Insert your caste study page
[YOUR COMPANY G2 URL] = Insert your G2 page
Pro Tip:
Pay special attention to the customer language section, these exact phrases will become your email subject lines and opening sentences.
Step 2: Pain Point Prioritization Analysis
Most companies lead with features rather than the actual problems they solve. You need to identify which pain points have the highest business impact and emotional urgency.
The Framework: Score each pain point on financial impact, time savings, risk reduction, and emotional relief.
Act as a value proposition expert who specializes in identifying and quantifying customer pain points. I need help creating a comprehensive Pain Point Prioritization Matrix.
**Input Required:** [PASTE CUSTOMER ANALYSIS RESULTS FROM STEP 1]
**Additional Sources:**
- **Website copy:** [Paste key value propositions from your website]
- **Customer testimonials:** [Paste 3-5 customer testimonials or case studies]
- **G2/Review data:** [Paste customer reviews mentioning specific problems you solve]
- **Sales call insights:** [Common objections or pain points mentioned in sales conversations]
**Pain Point Analysis Framework:**
**Please:**
1. **Extract all distinct pain points** mentioned across sources (aim for 8-12 pain points)
2. **For each pain point, evaluate and score (1-10 scale):**
- **Frequency:** How often is this mentioned by customers?
- **Financial Impact:** Potential cost savings or revenue generation
- **Time Savings:** Hours/days saved per week/month
- **Risk Reduction:** Compliance, errors, security, reputation protection
- **Emotional Relief:** Reduced frustration, stress, increased confidence
- **Urgency:** How quickly prospects need this solved
3. **Create a prioritized matrix** ranking pain points by total impact score
4. **For the top 5 pain points:**
- Write a concise problem statement
- Quantify the business impact when possible
- Identify the specific language customers use to describe this pain
- Note which customer segments experience this pain most acutely
5. **Pain Point Messaging Guide:**
- Create 2-3 subject line options for each top pain point
- Write opening sentences that agitate each pain point
- Suggest specific metrics or examples to make each pain tangible
**Output Format:**
- Pain Point Prioritization Matrix (table format)
- Top 5 Pain Points Deep Dive
- Customer Language Library
- Pain Point Messaging Guide
Variables to replace:
- [PASTE CUSTOMER ANALYSIS RESULTS] = Copy output from Step 1
- [Website copy] = Key value props from your site
- [Customer testimonials] = Real customer quotes
- [Review data] = G2, Capterra, or other review insights
Step 3: Finding where prospects reveal their pain online
Prospects don't just wake up and decide they need your solution. They leave digital breadcrumbs showing they're experiencing specific pain points. Find these signals, and you'll know exactly when to reach out.
Prospects showing digital signs of pain are more likely to take a meeting because they're actively looking for solutions.
Here's the prompt:
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