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Marketing
Command

/competitor-analysis

Multi-dimensional competitive analysis — content, SEO, paid ads, social, AI visibility, pricing, and positioning

From plugin
digital-marketing-pro
72718 skills24 agents18 commands
Install
$ npx -y skills add indranilbanerjee/digital-marketing-pro --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/competitor-analysis

Context preview

What this command does when you run it.

Multi-dimensional competitive analysis — content, SEO, paid ads, social, AI visibility, pricing, and positioning

Command definition

competitor-analysis.md
description: Multi-dimensional competitive analysis — content, SEO, paid ads, social, AI visibility, pricing, and positioning
argument-hint: "<competitor names or URLs>"

Competitor Analysis

> If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../CONNECTORS.md).

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

Trigger

User runs `/digital-marketing-pro:competitor-analysis` or asks to analyze competitors, benchmark against competition, find competitive gaps, or understand the competitive landscape.

Inputs

Gather the following from the user. If not provided, ask before proceeding:

1. **Competitors** — 2-5 competitor names and/or URLs to analyze

2. **Analysis scope** — one of:

  • **Full analysis** — all dimensions below (default)
  • **SEO comparison** — keyword overlap, domain authority, content depth, link gaps
  • **Content analysis** — publishing strategy, content types, topics, quality, frequency
  • **Paid advertising** — ad copy, creative themes, platforms, estimated spend
  • **Social media** — platform presence, engagement, content mix, posting cadence
  • **Pricing and positioning** — pricing models, value props, messaging frameworks

3. **Key battleground keywords** — terms where the brand competes head-to-head

4. **Industry or category** — for contextual benchmarking

Process

1. Content Strategy Analysis

  • Content types produced (blog, video, podcast, newsletter, reports, tools)
  • Publishing frequency and consistency
  • Top-performing content (shares, backlinks, estimated traffic)
  • Content themes and topic clusters
  • Content gaps — topics you cover that they don't, and vice versa
  • Quality assessment (depth, originality, E-E-A-T signals)

2. SEO Competitive Landscape

**If SEO tools are connected (Ahrefs, Similarweb):**

  • Pull domain metrics, keyword rankings, backlink profiles automatically
  • Identify exact keyword overlap and gaps

**If tools are not connected:**

  • Use web search to research the SEO landscape
  • Note: "For detailed ranking data, connect Ahrefs or Similarweb via `/digital-marketing-pro:connect`."

Assess:

  • Domain authority comparison
  • Keyword overlap — terms both sites rank for, and who ranks higher
  • Keyword gaps — terms competitors rank for that you don't
  • Backlink profile comparison (referring domains, link quality)
  • Content depth — average word count, topic breadth
  • SERP feature ownership (featured snippets, People Also Ask, knowledge panels)

3. Paid Advertising Intelligence

  • Platforms in use (Google, Meta, LinkedIn, TikTok, programmatic)
  • Ad copy themes and messaging patterns
  • Landing page strategies
  • Estimated ad spend (if data available)
  • Creative approaches (image, video, carousel, text)
  • Targeting signals (audiences they appear to target)

4. Social Media Benchmarking

  • Platform presence (which platforms, follower counts)
  • Engagement rates by platform
  • Content mix (text, image, video, stories, live)
  • Posting frequency and consistency
  • Community engagement (response rate, comment quality)
  • Viral or standout content

5. AI Answer Engine Visibility

  • How competitors appear in Google AI Overviews
  • Presence in Perplexity, ChatGPT, and other AI answer engines
  • Citation patterns — which competitor sites are cited most for key topics
  • Structured content that makes competitors more "citeable"

6. Pricing and Positioning

  • Pricing models (subscription, per-unit, freemium, enterprise)
  • Price points relative to market
  • Value proposition and messaging pillars
  • Market positioning (premium, mid-market, budget, niche)
  • Differentiation claims

Output Format

Competitive Overview Matrix

| Dimension | Your Brand | Competitor A | Competitor B | Competitor C | |-----------|-----------|--------------|--------------|--------------|

Include rows for: content volume, SEO strength, social following, ad presence, pricing tier, AI visibility.

Content Strategy Comparison

| Metric | Your Brand | Comp A | Comp B | Winner | |--------|-----------|--------|--------|--------|

SEO Landscape

| Keyword | Your Rank | Comp A | Comp B | Gap/Opportunity | |---------|-----------|--------|--------|-----------------|

SWOT per Competitor

For each competitor: Strengths, Weaknesses, Opportunities (for your brand), Threats.

Strategic Recommendations

**Quick Wins:**

  • Competitive gaps you can exploit immediately

**Strategic Opportunities:**

  • Larger market positioning or content strategy moves

**Defensive Priorities:**

  • Areas where competitors are gaining ground that need protection

After the Analysis

Ask: "Would you like me to:

  • Set up ongoing competitor monitoring? (`/digital-marketing-pro:competitor-monitor`)
  • Create a counter-narrative strategy? (`/digital-marketing-pro:counter-narrative`)
  • Draft content to fill the competitive gaps identified? (`/digital-marketing-pro:content-brief`)
  • Build a share-of-voice tracking dashboard? (`/digital-marketing-pro:share-of-voice`)
  • Analyze competitor ad creative in detail? (`/digital-marketing-pro:paid-advertising`)
  • Map the full narrative landscape? (`/digital-marketing-pro:narrative-landscape`)"

Execution discipline — parallel dispatch

A full competitor analysis covers **7 independent dimensions** per competitor: content, SEO, paid ads, social, AI visibility, pricing, positioning. These have no cross-dependencies — they read different data sources and produce different sections of the final report.

Dispatch them via **one message with seven parallel `Task` tool calls** rather than seven sequential calls. Parallel dispatch of these independent dimensions is substantially faster than running them one after another; actual time varies with model and rate limits. Keep concurrency to a handful — past roughly 8 concurrent subag

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