AI Marketing Prompts Reference Guide

A comprehensive collection of all prompts from the AI Marketing Playbook, organized by chapter for easy reference. Copy and paste them into your favorite AI platform.

Getting Started with AI Marketing Tools

Day 1 Assignment Prompt

You are a direct response copywriter with the skills of [Insert your favorite Copywriter here]. Help me write 5 attention-grabbing email subject lines for [your actual product/service]. Avoid words and phrases that might flag the email as spam.

The Master Marketing Prompt Template

You are [specific role] helping [target audience] achieve [specific goal].
Context: [relevant background]
Task: [exactly what you need]

Requirements:
- [specific requirement 1]
- [specific requirement 2]
- [specific requirement 3]

Tone: [how it should sound]

Please avoid: [what you don't want]

Chapter 1: Streamlining Market Research with AI Tools
Audience Persona Development Prompt

Based on people who follow [discovered interests], create a detailed buyer persona including psychographics, daily routines, and purchase triggers.

Competitive Analysis Prompt

What emotional triggers are these ads targeting?

Customer Feedback Analysis Prompt

Identify the top 5 frustrations and desires expressed in these conversations.

Campaign Post-Mortem Analysis Prompt

Analyze these support conversations from previous launches. Identify:
1. Top 10 questions customers will ask
2. Emotional state when asking
3. Best responses that led to purchases
4. Create an FAQ that preempts these issues.

Chapter 2: Mastering Brand Positioning with AI Tools
Brand Positioning Generator Prompt

You are a brand strategist known for creating memorable, bold positioning statements.

Company: [sustainable fashion brand]

Customer problem: Fast fashion guilt but limited budget

Our unique angle: Clothes designed to last 10+ years

Competitor positioning: [list their actual taglines]

Create 10 positioning statements that:

- Are 10 words or less

- Make a bold promise or take a stand

- Use concrete language, not corporate speak

- Would make someone stop scrolling

Avoid: Sustainability clichés, feature lists, trying to appeal to everyone.

Competitive Positioning Analysis Prompt

Analyze these competitor positioning statements: [paste them]. What are the common clichés? What are they all avoiding saying? Where's the white space?

Messaging Hierarchy Development Prompt

Create a complete messaging hierarchy for [position statement].

Include:

- 3 supporting benefit pillars (one sentence each)

- 2 proof points per pillar

- Variations for:

- Website headline

- Email signature

- Sales conversation opener

- Social media bio

- Elevator pitch

Keep the core message consistent while adapting tone and length for each channel.

Positioning Discovery Interview Prompt

I'll describe our company and customers. Help me find our unique positioning angle by asking probing questions about:

- What customers say vs. what competitors assume

- Problems we solve that others ignore

- Unique aspects of our approach or story

Chapter 3: Optimizing Sales Funnels with AI Technology

Customer Journey Mapping Prompt

I sell [product/service] to [target audience]. Based on common buyer psychology, what are the 5 critical moments where prospects decide to:

1. Keep learning more

2. Abandon their research

Include the emotional state and key questions at each moment.

Funnel Analysis Prompt

Here's behavioral data from our website: [Paste Google Analytics behavior flow]

Identify:

1. Actions that correlate with purchase

2. Actions that predict abandonment

3. Unusual patterns worth testing

Support Ticket Analysis for Funnel Optimization

Analyze these support tickets for:

1. Questions asked BEFORE purchasing

2. Emotional state when asking

3. What made them finally buy

4. Obstacles that almost stopped them

Funnel Audit Prompt

Analyze this funnel flow:

[Stage 1]: [Page/Content]

[Stage 2]: [Page/Content]

[etc]

For someone who [describe their situation], identify:

1. Gaps in logic or trust

2. Missing information they'd need

3. Reasons they might abandon at each stage

Lead Magnet Development Prompt

My audience is [specific description]. Their biggest pain point is [specific problem]. They've tried [common solutions] but struggled because of [reasons].

Create 10 lead magnet ideas that:

1. Solve one specific aspect of their problem

2. Deliver results in under [timeframe]

3. Require no special tools or knowledge

4. Sound too valuable to be free

5. Lead naturally to my paid offer: [description]

Curse of Knowledge Audit Prompt

Pretend you know nothing about [industry/product]. Read this copy and list:

1. Terms that need explanation

2. Assumptions made about prior knowledge

3. Simpler ways to say the same thing

Monthly Funnel Metrics Analysis Prompt

Analyze these funnel metrics: [Paste your data]

Identify:

1. Leading indicators of conversion

2. Hidden correlations

3. Optimization opportunities ranked by impact

Chapter 4: Transforming Content Creation with AI Tools

Content Calendar Planning Prompt

You're helping plan content for [business description].

Target audience: [detailed description]

Business goals this quarter: [specific objectives]

Competitors are talking about: [themes to differentiate from]

Our unique angles: [what makes us different]

Create a 30-day content calendar with:

- 3 pillar topics (major themes)

- 2 posts per week per pillar

- A mix of content types (educational, story-based, actionable)

- Natural progression building toward [specific CTA]

- Titles that would make someone stop scrolling

Avoid: Generic advice, corporate speak, and topics everyone covers.

Content Multiplication Prompt

Take this blog post about [topic] and transform it into:

1. 5 tweets with different angles

2. LinkedIn post focusing on my personal story

3. Email newsletter with actionable tips

4. Instagram carousel breaking down key points

5. 30-second video script

6. Podcast talking points

7. One-page PDF checklist

Maintain the core message but adapt tone and format for each platform.

Chapter 5: Winning the Channel Game with AI Strategy

Channel Intelligence Analysis Prompt

I run a [business type] serving [target audience]. My customers [describe their behavior and preferences]. My competitors are active on [list channels].

Analyze:

1. Where my specific audience is most likely to make purchase decisions

2. Which channels align with my content strengths

3. Gaps in competitor channel strategies I could exploit

4. The optimal channel mix for my resources

Consider both digital and traditional channels.

Email Personalization Prompt

Rewrite this email for someone who:

- Opened our last 3 emails but didn't click

- Visited our pricing page 2 weeks ago

- Works in [industry] with [title]

- Make it feel personal, not creepy.

Chapter 6: Automating Success: The AI Lead Generation Revolution

Landing Page Copy Development Prompt

Create landing page copy for [product/service].

Visitor context: They've just [specific action that brought them here]

Their current pain: [specific struggle]

Their desired outcome: [what success looks like]

Write:

1. Headline that mirrors their internal dialogue

2. Subheadline that hints at the solution

3. 3 bullet points of transformation (not features)

4. CTA that feels like the logical next step

Avoid: Hype, pressure tactics, generic benefits.

Chapter 7: The Countdown Begins: Launching with AI Precision

Launch Sequence Content Generator Prompt

I'm launching [product] on [date].

Target audience: [description]

Key benefit: [what they get]

Big promise: [transformation offered]

Price point: [details]

Urgency factor: [why buy now]

Create a 10-day launch sequence:

- Days -7 to -4: Build awareness of the problem

- Days -3 to -2: Tease the solution

- Day -1: Major reveal

- Day 0: Launch announcement

- Days 1-3: Handle objections and add bonuses

For each day, write:

1. Email subject and preview text

2. Social media post (casual tone)

3. SMS message (urgent but not pushy)

Maintain excitement while addressing different buyer personalities.

Launch Post-Mortem Analysis Prompt

Analyze these customer profiles who purchased during launch:

1. What do they have in common?

2. What channels drove the highest-value customers?

3. What messaging resonated most?

4. Where can we find more like them?

Chapter 8: The Optimization Symphony: Orchestrating Success with AI Analytics

Weekly Performance Analysis Prompt

Analyze this marketing performance data from last week: [Paste key metrics]

Compare to the previous 4-week average: [Paste historical data]

Business context:

- We launched [X] on [date]

- Our goal is [specific target]

- Budget constraints: [details]

Identify:

1. The single biggest insight hiding in this data

2. What's working better than expected (and why)

3. What's underperforming (and likely cause)

4. Three specific actions to take this week

5. What metrics should we watch the closest

Be specific with numbers and reasoning.

Chapter 9: The Scaling Stratosphere: Accelerating Growth with AI Intelligence

Scaling Analysis Prompt

Analyze this complete funnel data:

- Traffic sources: [data]

- Conversion points: [data]

- Customer journey: [data]

- Revenue by segment: [data]

Identify:

1. The 20% of efforts driving 80% of results

2. Hidden bottlenecks limiting growth

3. Untapped opportunities in current traffic

4. Which segments have the highest growth potential

5. What would break first if we 10x volume

Provide specific recommendations ranked by impact.

Chapter 10: The Loyalty Laboratory: Engineering Retention with AI Intelligence

Customer Success Pattern Analysis Prompt

Analyze these customer success patterns:

- Successful customers who stayed 12+ months: [behaviors]

- Customers who churned in first 90 days: [behaviors]

Identify:

1. The earliest behavioral indicators of success

2. The 'point of no return' for churn risk

3. Specific interventions that correlate with retention

4. Optimal timing for each intervention

5. Personalization variables that matter most

Create an onboarding journey that maximizes success indicators.

Chapter 11: The Insight Symphony: Orchestrating Feedback and Communication with AI Analytics

Master Feedback Analysis Prompt

Analyze this week's customer feedback:

- Support tickets: [data]

- Survey responses: [data]

- Reviews: [data]

- Social mentions: [data]

- Sales team notes: [data]

Context:

- Recent changes: [what we've modified]

- Business priorities: [current focus]

- Known issues: [what we're working on]

Identify:

1. The #1 insight we're missing

2. Emerging issues before they explode

3. Hidden connections between feedback sources

4. Specific customer quotes that illustrate key themes

5. Three actions that would most impact satisfaction

Prioritize by business impact, not volume of mentions.

Competitive Intelligence Mining Prompt

In this feedback, identify any mentions of competitors or alternatives:

- Direct mentions: [competitor names]

- Indirect mentions: [switching, shopping around, comparing]

- Feature comparisons: [what they like elsewhere]

Extract:

1. Why customers consider alternatives

2. What specific features they want

3. Switching triggers to avoid

4. Competitive advantages we have but don't emphasize.

Executive Insight Translation Prompt

Transform this customer feedback analysis into executive insights:

Raw findings: [paste analysis]

Business context: [current priorities]

Financial implications: [relevant metrics]

Create:

1. One-page executive summary

2. Three key insights with business impact

3. Recommended actions with ROI estimates

4. Risk assessment of inaction

5. Quick wins vs. strategic initiatives

Write for someone with 5 minutes who controls the budget.

Cross-Department Feedback Analysis Prompt

Analyze feedback from all departments:

- Sales: [lost deal reasons]

- Support: [common issues]

- Marketing: [campaign responses]

Find:

1. Disconnects between promise and delivery

2. Opportunities hiding between departments

3. Quick wins requiring cross-team coordination

4. Strategic advantages that we're not leveraging

Chapter 12: The Learning Legacy: Converting Campaign Experience into Organizational Intelligence

Campaign Post-Mortem Analysis Prompt

Analyze this campaign data objectively:

- Goals vs. results: [data]

- Timeline and milestones: [data]

- Resource allocation: [data]

- Team communications: [data]

- Customer feedback: [data]

Identify:

1. Root causes of success/failure (not symptoms)

2. Decisions that had an outsized impact

3. Patterns matching previous campaigns

4. Predictive indicators we missed

5. Specific improvements for next time

Focus on systems and processes, not individuals.

Failure Analysis Deep Dive Prompt

This campaign failed to meet goals. Analyze:

- Original hypothesis and assumptions

- Early warning signals we missed

- Decision points where we could have pivoted

- External vs. internal factors

- How to spot this pattern earlier next time

Be brutally honest. Assume good intentions but flawed execution.

Chapter 13: Ethical Considerations and Data Privacy

AI Bias Detection Prompt

Analyze these AI outputs for potential bias: [Sample outputs across demographics]

Check for:

1. Systematic differences in recommendations

2. Language tone variations

3. Offer quality disparities

4. Access to features/benefits

Flag any patterns that could indicate unfair treatment.

Quick Reference: Most Essential Prompts

The Universal Marketing Prompt

You are [specific role] helping [target audience] achieve [specific goal].

Context: [relevant background]

Task: [exactly what you need]

Requirements:

- [specific requirement 1]

- [specific requirement 2]

- [specific requirement 3]

Tone: [how it should sound]

Please avoid: [what you don't want]

The Weekly Business Intelligence Prompt

Analyze this week's marketing performance data: [Paste key metrics]

Compare to the previous 4-week average: [Paste historical data]

Business context:

- Recent changes: [what we've modified]

- Our goal is [specific target]

- Budget constraints: [details]

Identify:

1. The single biggest insight hiding in this data

2. What's working better than expected (and why)

3. What's underperforming (and likely cause)

4. Three specific actions to take this week

5. What metrics should we watch the closest

Be specific with numbers and reasoning.

The Monthly Strategic Review Prompt

Analyze this month's complete business data:

- Marketing performance: [data]

- Customer feedback: [data]

- Sales results: [data]

- Operational metrics: [data]

Identify:

1. The biggest opportunity we're missing

2. Patterns that predict future success/failure

3. Strategic pivots worth considering

4. Resource allocation recommendations

5. Next month's priorities ranked by impact

Focus on actionable insights that drive business decisions.

Prompt Engineering Best Practices

The Five Prompt Types

1. Zero-Shot: Just ask directly

  • Use for: Exploration and brainstorming

  • Example: "Write a blog post about email marketing"

2. One-Shot: Provide one example

  • Use for: When you have a template to follow

  • Example: "Write a blog post like this example: [paste example]"

3. Role-Based: Set the context and expertise

  • Use for: Almost always (improves output 10x)

  • Example: "You're an email marketing expert who's helped 100+ companies..."

4. Chain-of-Thought: Show your reasoning process

  • Use for: Complex tasks requiring logical flow

  • Example: "Let's create a blog post. First, outline the challenges..."

5. Structured Output: Define the exact format

  • Use for: Consistency across multiple pieces

  • Example: "Write a blog post with: [specific structure requirements]"

Prompt Optimization Tips

  1. Be Specific: "Young professionals" vs. "Marketing managers aged 25-35 at SaaS startups"

  2. Set Context: Always explain the business situation and audience

  3. Define Constraints: Word limits, tone requirements, things to avoid

  4. Iterate: Your first prompt rarely gives the best result

  5. Save What Works: Build a library of proven prompts

Total Prompts: 35+

Remember: These prompts are starting points. Customize them for your specific business, audience, and goals. The magic happens when you iterate and refine based on your results.