AI Content Creation

Writing Marketing Copy with AI

4 min read

Marketing copy is where most professionals first experience AI's power. With the right approach, you can produce compelling headlines, ads, and social posts in minutes instead of hours.

The AI Content Workflow

Follow this process for consistent quality:

IDEATE → DRAFT → REFINE → PERSONALIZE → TEST
   ↓        ↓        ↓          ↓          ↓
  AI      AI      Human      AI       Data

AI handles volume; humans ensure quality and brand alignment.

Headlines That Convert

Headlines determine whether your content gets read. Use AI to generate variations, then select the best.

RACE Prompt for Headlines:

Role: You are a direct response copywriter who has written headlines for Fortune 500 brands

Action: Write 10 headline variations for [product/content]

Context:
- Audience: [specific demographic]
- Goal: [click, signup, purchase]
- Platform: [email, social, landing page]
- Tone: [urgent, curious, authoritative]

Examples of headlines we like:
- "The 5-minute fix that saved our team 20 hours/week"
- "Why 10,000 marketers switched (and you should too)"

Headline Formulas That Work:

Formula Example
Number + Benefit "7 Ways to Cut Email Time in Half"
Question "Still Writing Emails From Scratch?"
How To "How to 3X Your Response Rates"
Proof + Promise "10,000 Teams Use This to Ship Faster"

Social Media Copy

Each platform has different requirements:

Platform Length Tone AI Use
LinkedIn 150-300 words Professional Generate variations
Twitter/X 280 chars Punchy Compress ideas
Instagram 125-150 words Conversational Caption ideas
Facebook 40-80 words Engaging A/B variants

Multi-Platform Prompt:

Role: Social media strategist for B2B tech

Action: Create 3 versions of this message for LinkedIn, Twitter, and Instagram

Context: Announcing [product feature].
Goal: Drive traffic to landing page.
Brand voice: Professional but not corporate, uses data, avoids jargon.

Original message: [paste your core message]

Email Subject Lines

Email subject lines directly impact open rates. AI excels at generating variations for testing.

High-Performing Patterns:

Pattern Example When to Use
Personalization "{Name}, quick question" Cold outreach
Curiosity gap "The mistake costing you leads" Nurture sequences
Urgency "Last chance: 48 hours left" Promotions
Direct benefit "Cut your content time by 50%" Product announcements

Subject Line Prompt:

Role: Email marketing specialist with 15% average open rates

Action: Write 10 subject lines for [email purpose]

Context:
- List: [subscriber type]
- Email content: [brief summary]
- Goal: [open, click, reply]
- Avoid: spam triggers, ALL CAPS, excessive punctuation

Current best performer: "[your top subject line]"
Beat this with new angles.

Ad Copy That Converts

For paid advertising, every word matters.

Google Ads (30-character headlines, 90-character descriptions):

Role: Google Ads specialist managing $100K+ budgets

Action: Write 5 ad variations for [product/service]

Context:
- Target keyword: [keyword]
- Landing page: [URL or description]
- Unique selling prop: [main differentiator]
- Character limits: Headlines 30 chars, descriptions 90 chars
- Include: numbers, benefits, call-to-action

Facebook/Instagram Ads:

Role: Performance marketer for DTC brands

Action: Write primary text, headline, and CTA for [offer]

Context:
- Audience: [demographic, interests]
- Objective: [awareness, consideration, conversion]
- Hook in first line (stop the scroll)
- Social proof if available

Quality Control Checklist

Before publishing AI-generated copy:

Check Question
Brand voice Does this sound like us?
Accuracy Are all claims verifiable?
Clarity Would our audience understand this immediately?
CTA Is the next step crystal clear?
Compliance Any claims that need disclaimers?

A/B Testing with AI

Use AI to generate variations, then let data decide:

  1. Generate: Create 5-10 variations with AI
  2. Select: Choose 2-3 most promising (human judgment)
  3. Test: Run A/B test with equal traffic
  4. Learn: Feed winning patterns back to AI prompts

Next: Long-Form Content & SEO—using AI for articles that rank :::