cyberneticlibrary

Analyze competitor marketing and positioning

competitor-analysiscommandsetup L22
Faiz07yo/digital-marketing-pro

Causal-lift measurements

competitive-intelligence+20pp vs no-skill baselinewith-skill 79% · baseline 59%

Measured by running the task with and without this artifact, K=5, graded by deterministic checks — no LLM judging.

What it does

Analyze competitor marketing, SEO, ads, social, and positioning

Best for

Benchmarking your marketing strategy and messaging against 2-5 direct competitors when you need a 360-degree view of their content, SEO, ads, social, and positioning strategies.

Inputs
  • · 2-5 competitor names and/or URLs
  • · Analysis scope: full | SEO | content | paid ads | social | pricing/positioning
  • · Key battleground keywords
  • · Industry or category (for benchmarking)
Outputs
  • · Competitive overview matrix (dimensions: content volume, SEO strength, social following, ad presence, pricing, AI visibility)
  • · Content strategy comparison (publishing frequency, types, themes, gaps, quality)
  • · SEO competitive landscape (domain metrics, keyword overlap/gaps, backlinks, SERP features)
  • · Paid advertising intelligence (platforms, ad copy themes, landing pages, estimated spend, creative approach)
  • · Social media benchmarking (platform presence, engagement, content mix, posting cadence)
  • · AI answer engine visibility (Google AI Overview, Perplexity, ChatGPT, citation patterns)
  • · Pricing and positioning (models, price points, value propositions, market tier, differentiation)
Requires
  • · ~~SEO tools: Ahrefs, Similarweb (optional, for detailed ranking + backlink data)
  • · Web search (fallback if SEO tools not connected)
Preconditions
  • · 2-5 competitor URLs or names provided
  • · Analysis scope selected (or defaults to full analysis)
  • · For keyword gap analysis: battleground keywords supplied
  • · Internet access required for web search
Failure modes
  • · SEO tools not connected downgrades to web-search-based assessment (less precision)
  • · Competitor websites using heavy client-side rendering may not yield complete data
  • · Private competitor data (e.g., ad spend, exact traffic) not directly observable
  • · Analysis scope omitted defaults to full (may be too broad if user wants focused analysis)
Trust signals
  • · 7-dimension competitive framework (content + SEO + ads + social + pricing + AI visibility)
  • · E-E-A-T quality signals assessment (expertise, experience, authority, trustworthiness)
  • · SERP feature ownership tracking (featured snippets, PAA, knowledge panels)
  • · AI answer engine citation patterns (emerging competitive dimension)
  • · Structured matrix output (Competitor A/B/C side-by-side)
  • · Keyword gap analysis (identifies ranking opportunities)
  • · Backlink profile comparison (link equity assessment)