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Competitor analysis

Skill indranilbanerjee/digital-marketing-pro/skills/competitor-analysis

Open-source AI marketing plugin for agencies & in-house teams — 158 skills, 25 specialist agents, 12-Part Strategy Flow, Cowork team-persistent, EU AI Act Article 50 ready, 6-platform AEO/GEO incl. Google AI Mode. Installs on Claude Code, Cowork, Codex, Cursor, Copilot CLI, Antigravity. MIT-licensed.

Install
npx -y skills add indranilbanerjee/digital-marketing-pro --skill competitor-analysis

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What its author says it does

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Run competitive analysis. Use when: content, SEO, paid ads, social, AI visibility, pricing, positioning comparison.

SKILL.md

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/digital-marketing-pro:competitor-analysis

Purpose

Deliver a comprehensive competitive intelligence report across all major marketing dimensions. Identify competitor strengths, weaknesses, strategies, and gaps the brand can exploit.

Input Required

The user must provide (or will be prompted for):

  • Competitors: 2-5 competitor names and/or URLs
  • Analysis scope: Full analysis or specific dimensions (SEO, content, ads, social, pricing)
  • Key battleground keywords: Terms where the brand competes head-to-head
  • Industry/category: For contextual benchmarking

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Content analysis: Content types, publishing frequency, top-performing content, content gaps, topic authority
  3. SEO analysis: Domain authority, keyword overlap, ranking gaps, backlink comparison, technical health
  4. Paid advertising: Ad copy themes, landing page strategies, estimated spend, platform focus
  5. Social media: Platform presence, follower growth, engagement rates, content mix, posting cadence
  6. AI visibility: How competitors appear in AI answer engines versus the brand
  7. Pricing and positioning: Pricing models, value proposition, messaging frameworks, market positioning
  8. Synthesize findings into strategic opportunities and threats
  9. Generate actionable recommendations for competitive advantage

Output

A structured competitive analysis containing:

  • Competitor overview matrix with key metrics per competitor
  • Content strategy comparison with gap analysis
  • SEO competitive landscape with keyword and link opportunities
  • Paid media intelligence with creative and targeting insights
  • Social media benchmarking with engagement analysis
  • AI visibility comparison across platforms
  • Pricing and positioning map
  • SWOT summary per competitor
  • Strategic recommendations prioritized by opportunity size

Agents Used

  • competitive-intel — All competitive dimensions, benchmarking, gap analysis, and strategic recommendations

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