Competitive Ads Extractor
Extract competitors' ads from ad libraries (Facebook Ad Library, LinkedIn, TikTok, etc.), screenshot them, and analyze what's working — the problems they highlight, use cases/audiences they target, and copy/creative that resonates — to inspire and improve your own campaigns.
What it does
- Extract ads from ad libraries (Facebook, LinkedIn, TikTok, …).
- Screenshot every ad.
- Analyze messaging: problems, use cases, value props.
- Categorize by theme / audience / format.
- Find patterns — common successful approaches.
- Explain why certain ads likely perform well.
Invoking
Extract all current ads from [Competitor] on Facebook Ad LibraryScrape ads from [Company] and analyze their messagingGet [Competitor]'s ads about [problem] — what pain points do they highlight?Extract ads from these competitors: [list]. Compare approaches and tell me what's working.Get LinkedIn ads from [Competitor] and analyze their B2B positioning- Trends:
Compare [Competitor]'s Q1 vs Q2 ads — what messaging changed?
- Format:
Video vs static ads from [Competitor] — which gets more engagement (if data available)?
- Industry:
Ad patterns across the top 10 [category] tools — what problems do they all focus on?
Output
Save screenshots to ~/competitor-ads/<name>/ (best performers in a top-10/ subfolder), analysis to ~/competitor-ads/<name>/analysis.md. Report structure:
- Overview — total ads, primary themes (%), formats (static/video %), CTA patterns.
- Key problems highlighted — each with the exact copy used and why it works.
- Creative patterns — e.g. before/after split, feature-showcase GIF, social proof; note how many ads use each.
- Copy that's working — best headlines and body-copy patterns (short sentences, outcomes over features, specific numbers).
- Audience targeting insights — segments inferred from ad variations (founders / team leads / enterprise / students).
- Recommendations for your ads — concrete, testable angles drawn from the patterns.
Deliverable formats: screenshots (images), markdown report, CSV (copy/CTAs/themes), slide deck of top performers, categorized pattern library.
Analysis tips
- Look for repeating themes; track monthly to see evolution.
- Segment by audience — different messages for different targets.
- Compare platforms — LinkedIn vs Facebook messaging differs.
- Look at adjacent competitors too; build a reference library.
- Test insights as your own A/B experiments — inspiration, not copying.
Legal & ethical
✓ Research and inspiration only ✓ respect IP ✓ inform original creative
✗ Don't copy ads, plagiarize copy, or steal designs
Inspired by Sumant Subrahmanya's use case from Lenny's Newsletter.
1---2name: competitive-ads-extractor3description: Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.4---56# Competitive Ads Extractor78Extract competitors' ads from ad libraries (Facebook Ad Library, LinkedIn, TikTok, etc.), screenshot them, and analyze what's working — the problems they highlight, use cases/audiences they target, and copy/creative that resonates — to inspire and improve your own campaigns.910## What it does11121. **Extract** ads from ad libraries (Facebook, LinkedIn, TikTok, …).132. **Screenshot** every ad.143. **Analyze** messaging: problems, use cases, value props.154. **Categorize** by theme / audience / format.165. **Find patterns** — common successful approaches.176. **Explain** why certain ads likely perform well.1819## Invoking2021- `Extract all current ads from [Competitor] on Facebook Ad Library`22- `Scrape ads from [Company] and analyze their messaging`23- `Get [Competitor]'s ads about [problem] — what pain points do they highlight?`24- `Extract ads from these competitors: [list]. Compare approaches and tell me what's working.`25- `Get LinkedIn ads from [Competitor] and analyze their B2B positioning`26- Trends: `Compare [Competitor]'s Q1 vs Q2 ads — what messaging changed?`27- Format: `Video vs static ads from [Competitor] — which gets more engagement (if data available)?`28- Industry: `Ad patterns across the top 10 [category] tools — what problems do they all focus on?`2930## Output3132Save screenshots to `~/competitor-ads/<name>/` (best performers in a `top-10/` subfolder), analysis to `~/competitor-ads/<name>/analysis.md`. Report structure:3334- **Overview** — total ads, primary themes (%), formats (static/video %), CTA patterns.35- **Key problems highlighted** — each with the exact copy used and why it works.36- **Creative patterns** — e.g. before/after split, feature-showcase GIF, social proof; note how many ads use each.37- **Copy that's working** — best headlines and body-copy patterns (short sentences, outcomes over features, specific numbers).38- **Audience targeting insights** — segments inferred from ad variations (founders / team leads / enterprise / students).39- **Recommendations for your ads** — concrete, testable angles drawn from the patterns.4041Deliverable formats: screenshots (images), markdown report, CSV (copy/CTAs/themes), slide deck of top performers, categorized pattern library.4243## Analysis tips4445- Look for repeating themes; track monthly to see evolution.46- Segment by audience — different messages for different targets.47- Compare platforms — LinkedIn vs Facebook messaging differs.48- Look at adjacent competitors too; build a reference library.49- Test insights as your own A/B experiments — inspiration, not copying.5051## Legal & ethical5253✓ Research and inspiration only ✓ respect IP ✓ inform original creative54✗ Don't copy ads, plagiarize copy, or steal designs5556*Inspired by Sumant Subrahmanya's use case from Lenny's Newsletter.*
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