Competitive Ads Extractor

This skill extracts and analyzes competitors' ads from ad libraries to understand what messaging, problems, and creative approaches are working — helping inspire and improve your own ad campaigns.

When to Use This Skill

• Researching competitor ad strategies and positioning
• Finding inspiration for your own ad creative and copy
• Understanding market positioning across competitors
• Identifying successful messaging patterns and hooks
• Discovering new use cases or pain points to target
• Planning ad campaigns with proven concepts
• Analyzing seasonal or time-based ad trends

What This Skill Does

1. Extracts Ads: Scrapes ads from Facebook Ad Library, LinkedIn, and other platforms
2. Captures Screenshots: Saves visual copies of all ads for reference
3. Analyzes Messaging: Identifies problems, use cases, and value propositions
4. Categorizes Ads: Groups by theme, audience, format, and platform
5. Identifies Patterns: Finds common successful approaches across competitors
6. Provides Insights: Explains why certain ads likely perform well

How to Use

Basic Extraction

Extract all current ads from [Competitor Name] on Facebook Ad Library

Scrape ads from [Company] and analyze their messaging

Specific Analysis

Get all ads from [Competitor] focusing on their messaging about [specific problem]. What pain points are they highlighting?

Competitive Set

Extract ads from these 5 competitors: [list]. Compare their approaches and tell me what's working.

Specific Platform

Get LinkedIn ads from [Competitor] and analyze their B2B positioning strategy

Process

Step 1: Access Ad Libraries

Navigate to the relevant ad library:

• Facebook Ad Library: https://www.facebook.com/ads/library/
• LinkedIn Ad Library: Available via LinkedIn Ads platform
• Google Ads Transparency Center: https://adstransparency.google.com/
• TikTok Ad Library: https://library.tiktok.com/

Use browser tools or Playwright to navigate and extract ad data when APIs are unavailable.

Step 2: Extract Ad Data

For each ad found, capture:

• Ad copy (headline, body text, CTA)
• Visual creative (screenshot or download)
• Ad format (static image, video, carousel)
• Landing page URL (if accessible)
• Active status and duration
• Platform-specific metadata (engagement, spend estimates)

Save to organized directory:

competitor-ads/
└── [competitor-name]/
    ├── ad-001-collaboration.png
    ├── ad-002-productivity.png
    └── analysis.md

Step 3: Analyze Messaging Patterns

For each competitor, identify and categorize:

Problems Highlighted:

• What pain points appear most frequently?
• How are they framing the problem?
• What emotions do they target?

Value Propositions:

• What benefits do they emphasize?
• How do they differentiate?
• What proof points do they use?

Copy Patterns:

• Headline lengths and structures
• CTA language and placement
• Tone (urgent, friendly, professional)
• Social proof usage

Step 4: Identify Creative Patterns

Categorize visual patterns:

Step 5: Generate Analysis Report

# [Competitor] Ad Analysis

## Overview
- Total Ads: [X] active
- Primary Themes: [Theme 1] (X%), [Theme 2] (X%), ...
- Ad Formats: Static (X%), Video (X%), Carousel (X%)
- CTA Patterns: [Common CTAs]

## Key Problems They're Highlighting

1. **[Problem 1]** (X ads)
   - Copy: "[Representative excerpt]"
   - Why it works: [Analysis]

2. **[Problem 2]** (X ads)
   - Copy: "[Representative excerpt]"
   - Why it works: [Analysis]

## Successful Creative Patterns

### Pattern 1: [Name]
- [Description]
- Used in X ads
- Why effective: [Analysis]

## Top Performing Copy Formulas

Best Headlines:
1. "[Headline]" → Why it works: [Analysis]
2. "[Headline]" → Why it works: [Analysis]

## Recommendations for Your Ads

1. **[Recommendation 1]** → Based on: [Evidence]
2. **[Recommendation 2]** → Based on: [Evidence]
3. **[Recommendation 3]** → Based on: [Evidence]

Advanced Analysis

Trend Tracking

Compare [Competitor]'s ads from Q1 vs Q2. What messaging has changed?

Multi-Competitor Comparison

Extract ads from [Company A], [Company B], [Company C]. What are the common patterns? Where do they differ?

Industry Benchmarks

Show me ad patterns across the top 10 [industry] tools. What problems do they all focus on?

Best Practices

Legal & Ethical

• ✅ Only use for research and inspiration
• ✅ Don't copy ads directly
• ✅ Respect intellectual property
• ✅ Use insights to inform original creative
• ❌ Don't plagiarize copy or steal designs

Analysis Tips

1. Look for patterns — what themes repeat across competitors?
2. Track over time — save ads monthly to see evolution
3. Test hypotheses — adapt successful patterns for your brand
4. Segment by audience — different messages target different segments
5. Compare platforms — LinkedIn vs Facebook messaging differs significantly

Organizing Results

• Save all ads by competitor and date
• Create a master spreadsheet tracking themes over time
• Build a "swipe file" of top-performing ad patterns
• Tag ads by format, audience, and funnel stage

Cline Workflow Notes

1. Install location: Copy this skill directory to .cline/skills/competitive-ads-extractor/ (project-level) or ~/.cline/skills/competitive-ads-extractor/ (global)
2. Browser access: Cline may use browser tools to access ad libraries that don't have public APIs
3. Data privacy: Keep scraped data local and don't expose competitors' proprietary ad strategies publicly
4. Output formats: Default to Markdown analysis reports with organized image files
5. Rate limiting: When scraping, respect platform rate limits and add delays between requests
6. Regular monitoring: Schedule periodic re-analysis to track changes in competitor strategies

Related Use Cases

• Writing better ad copy for your campaigns
• Understanding market positioning gaps
• Finding content gaps in your messaging
• Discovering new use cases for your product
• Planning product marketing strategy
• Inspiring social media content