cyberneticlibrary

Research competitor ad intelligence

ads-competitorskillsetup L220
naveedharri/benai-skills

Causal-lift measurements

competitive-intelligence0pp vs no-skill baselinewith-skill 80% · baseline 80%

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

What it does

Research competitor ad presence and identify competitive intelligence gaps

Best for

Performance marketing teams when you need competitor ad intelligence to benchmark messaging, estimate spend, and identify positioning gaps.

Inputs
  • · Target competitor names or domains
  • · Platform focus (Google, Meta, LinkedIn, TikTok)
Outputs
  • · Competitor ad inventory (active campaigns, formats, copy themes)
  • · Estimated spend and bid strategy
  • · Messaging patterns and positioning comparison
  • · Opportunities and gaps vs competitors
Requires
  • · Google Ads Transparency Center
  • · Meta Ad Library
  • · LinkedIn Ad Library
  • · TikTok Creative Center
  • · Google Ads Auction Insights (from user's own account)
Preconditions
  • · Access to Google Ads account for Auction Insights
  • · Competitor domains and advertiser names identified
Failure modes
  • · Competitor research incomplete (only largest players examined)
  • · Ad library data outdated (snapshots only, not real-time)
  • · No action taken from competitive findings
Trust signals
  • · Data sources table with platform coverage (Google Transparency Center, Meta Ad Library, LinkedIn Ad Library, TikTok Creative Center)
  • · Auction Insights access from Google Ads account (impression share, outranking share, top of page rate)
  • · Platform-specific research guidance (Google Search transparency, Meta spending brackets, LinkedIn native ads)