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Paid media competitor intelligence

Skill gmmh1/claude-paid-media-skills/skills/paid-media-competitor-intelligence

Aggregate competitor advertising research across Google, Meta, LinkedIn, and TikTok into one competitive picture. Triggers on 'research my competitor's full advertising strategy', 'what channels is [competitor] on', or 'build a cross-platform competitor battlecard'. Aggregation layer over google-ads-competitor-research, meta-ads-library-intelligence, and platform-native research.From its SKILL.md

Install
npx -y skills add gmmh1/claude-paid-media-skills --skill paid-media-competitor-intelligence

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SKILL.md

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Paid Media Competitor Intelligence

Currency & scope note (last reviewed 2026-07-19): Platform mechanics referenced here (character limits, campaign-type names, feature availability, thresholds, benchmark figures, policy specifics) reflect general practice as of the review date above and are not guaranteed current — ad platforms change quickly. Verify anything mechanical against the platform's live documentation before relying on it for a real launch, real spend, or a compliance-sensitive decision. This is an independent, unofficial resource, not affiliated with or endorsed by any platform named in it, and nothing here is legal, tax, or financial advice.

Purpose

Combine platform-specific competitor research into one coherent picture of a competitor's overall paid media strategy — which channels they're actually investing in, how their messaging differs by platform, and where the business has a genuine differentiation opportunity.

Trigger Conditions

  • "Research my competitor's full advertising strategy across channels"
  • "What platforms is [competitor] advertising on"
  • "Build a cross-platform competitor battlecard"

Required Inputs

  • Competitor name(s)/domain(s)
  • Which platforms to check (default: all four — Google, Meta, LinkedIn, TikTok — unless scoped narrower)
  • What's being researched: channel presence, messaging/offers, creative format mix, estimated investment level

Core Capabilities

Per-Platform Research Aggregation

  • Google: Auction Insights (if the business's own account overlaps with the competitor) plus manual search-term review (google-ads-competitor-research)
  • Meta: public Ad Library search (meta-ads-library-intelligence)
  • LinkedIn: no public ad library equivalent — infer presence primarily from Sponsored Content appearing in-feed, Company Page activity, and any available industry benchmarking
  • TikTok: Creative Center / public trend tools where available, plus manual observation of competitor TikTok presence and any Spark-Ads-boosted content visible organically

Cross-Channel Investment Signal

  • Which platforms a competitor is actually active on (not just present on) as a signal of where they believe their audience and ROI are strongest — a competitor absent from a platform the business is considering may indicate either an opportunity (underserved channel) or a validated non-fit (they tried and left)
  • Relative investment level inference (ad volume, campaign freshness/cadence) across platforms to gauge where a competitor is doubling down vs. maintaining minimal presence

Messaging Consistency Analysis

  • Comparing how a competitor's core offer/positioning shifts (or doesn't) across platforms — consistent cross-platform messaging signals a deliberate, mature brand strategy; wildly inconsistent messaging may signal disorganization or platform-specific testing worth watching
  • Identifying messaging/offer angles the competitor uses on every platform (their core value prop) vs. platform-specific angles (tactical adaptations)

Differentiation Opportunity Mapping

  • Synthesizing findings into where the business can differentiate: an angle no competitor is using, a channel competitors are neglecting, an audience segment underserved across the competitive set
  • Distinguishing proven competitor tactics (long-running Meta ads, consistently active LinkedIn presence) from unproven experiments, using the same longevity-as-signal principle from the platform-specific research skills

Workflow

  1. Identify target competitor(s) and platforms to research.
  2. Pull platform-specific findings via google-ads-competitor-research, meta-ads-library-intelligence, and available LinkedIn/TikTok observation.
  3. Assess relative investment/presence across platforms.
  4. Compare messaging consistency across platforms.
  5. Synthesize into a differentiation opportunity map spanning channel gaps and messaging gaps.

Outputs

  • Cross-platform competitor presence summary (which channels, relative investment signal)
  • Messaging consistency analysis across platforms
  • Differentiation opportunity map (channel gaps, messaging gaps)
  • Proven-vs-unproven tactic flags per platform

Rules

  • Never present competitor channel absence as proof of opportunity without considering the alternative explanation (they tried it and it didn't work) — frame both possibilities.

  • Aggregate, don't just concatenate, platform-specific findings — the cross-platform synthesis (investment comparison, messaging consistency) is this skill's value beyond the individual research skills.

  • Distinguish proven (long-running, consistent) competitor tactics from unproven/testing activity per platform.

  • Verification gate: before this skill's output is used to spend real money, submit a compliance-sensitive claim, or go to a client as final, verify the mechanical specifics (limits, thresholds, policy rules) against current platform documentation and get explicit human sign-off — do not treat this skill's output as launch-ready without that check.

Related Skills

google-ads-competitor-research, meta-ads-library-intelligence (platform-specific foundations), competitive-intelligence (broader business battlecard beyond paid media).

What ships with it

Read from the repository

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