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Competitor Ads Analyst

  • 75 installs
  • 93 repo stars
  • Updated May 14, 2026
  • thatrebeccarae/claude-marketing

Helps with ai & agent building tasks.

About

competitor-ads-analyst is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.

  • competitor-ads-analyst
  • AI & Agent Building
  • AI-coding skill

Competitor Ads Analyst by the numbers

  • 75 all-time installs (skills.sh)
  • +5 installs in the week ending Jul 27, 2026 (Skillselion tracking)
  • Ranked #5,460 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/thatrebeccarae/claude-marketing --skill competitor-ads-analyst

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Listed on Skillselion
Installs75
repo stars93
Last updatedMay 14, 2026
Repositorythatrebeccarae/claude-marketing

What it does

Helps with ai & agent building tasks.

Files

SKILL.mdMarkdownGitHub ↗

Competitor Ads Analyst

Analyze competitor advertising from public ad libraries to understand what messaging, creative formats, and positioning strategies are working.

Install

git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/competitor-ads-analyst ~/.claude/skills/

Core Capabilities

  • Extract ads from public ad libraries (Facebook, Google, TikTok, LinkedIn)
  • Categorize ad creative by format, message type, and funnel stage
  • Identify pain points competitors highlight (with frequency scoring)
  • Map competitor positioning and find white space
  • Extract headline and copy formulas
  • Track creative format trends (UGC, before/after, testimonial, etc.)
  • Generate competitive intelligence reports and swipe files

Ad Library Access

PlatformURLAccess
Meta (Facebook/Instagram)facebook.com/ads/libraryFree, public
Google Adsadstransparency.google.comFree, public
TikToklibrary.tiktok.comFree, public
LinkedInlinkedin.com/ad-libraryRequires account

Workflow

1. Define Scope

  • Competitors: 3-5 companies to analyze
  • Timeframe: Last 30, 60, or 90 days
  • Platforms: Which ad libraries to search
  • Focus: Messaging, creative format, audience targeting, or all

2. Extract Ads

For each competitor, collect:

  • Ad copy (headline, primary text, CTA)
  • Creative format (image, video, carousel, UGC)
  • Landing page URL
  • Active date range (if visible)
  • Platform and placement

3. Categorize

Classify each ad by:

Message Type:

  • Pain point (problem-aware)
  • Solution (product-aware)
  • Social proof (testimonial, case study, press)
  • Offer (discount, free trial, demo)
  • Educational (how-to, tip, guide)
  • Brand (awareness, positioning)

Funnel Stage:

  • Top (awareness, problem education)
  • Middle (consideration, comparison)
  • Bottom (conversion, offer, urgency)

Creative Format:

  • Static image
  • Video (short <15s, medium 15-60s, long >60s)
  • Carousel
  • UGC-style
  • Before/after
  • Screenshot/product demo
  • Testimonial quote card
  • Data/stat visualization

4. Analyze Patterns

  • Pain point frequency: Which problems appear most across competitors?
  • Message clustering: Are competitors saying the same things?
  • Format preferences: Which creative types are most used?
  • Positioning map: Where does each competitor sit on key dimensions?
  • Gaps: What messages/angles are NO competitors using?

5. Generate Output

Choose from: competitive report, swipe file, messaging matrix, or creative brief.

Key Principles

1. Analyze patterns, not individual ads. One ad is an anecdote; 20 ads from 5 competitors is intelligence. 2. Look for gaps, not just patterns. The most valuable finding is what competitors are NOT saying. 3. Separate observation from recommendation. Report what you see, then separately recommend what to do with it. 4. Date everything. Competitive intelligence decays fast. 5. Never copy, always adapt. The goal is informed inspiration, not plagiarism.

For analysis frameworks and output templates, see REFERENCE.md.

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