ads-competitor

Analyze competitor ads across Google, Meta, LinkedIn, TikTok, Microsoft, and Apple platforms.

8|5|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/shenxingy/Clade --skill ads-competitor-shenxingy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ads-competitor
Source: https://github.com/shenxingy/Clade/tree/main/configs/skills/ads-competitor
Command: npx skills add https://github.com/shenxingy/Clade --skill ads-competitor-shenxingy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you understand what your competitors are running in paid advertising so you can spot messaging, creative, keyword, and budget gaps faster.

Core Features & Use Cases

  • Cross-platform competitor ad intelligence: analyzes competitor presence across Google, Meta, LinkedIn, TikTok, Microsoft, and Apple Ads to compare how they show up.
  • Creative, copy, and messaging breakdown: extracts themes in headlines, CTAs, offers, tone, and creative strategy to reveal what resonates with the market.
  • Estimated spend and opportunity discovery: estimates directional spend and identifies competitive gaps by platform and messaging, then turns findings into recommendations.
  • Use case example: if you’re launching a new PPC campaign for a software product, use this Skill to analyze competitor ads across multiple platforms, identify under-targeted keywords and creative angles, and prioritize actions to improve conversion efficiency.

Quick Start

Ask the AI to run ads-competitor for your main competitors so it can produce a competitor intelligence report with gaps and recommended moves.

Frequently Asked Questions about ads-competitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze competitor ads across Google, Meta, and TikTok?▼

To analyze competitor ads across Google, Meta, and TikTok, you need to extract active ad creatives, copy themes, and targeting patterns from platform transparency centers. This process benchmarks competitor messaging and estimates directional spend to reveal market gaps.

Can I find competitor PPC keyword gaps and budget estimates using ad intelligence?▼

Yes, competitor PPC keyword gaps and budget estimates are found by researching active ad presence and extracting messaging themes across major platforms. This ad intelligence identifies under-targeted keywords and estimates directional spend for competitive positioning.

What is the best way to compare competitor messaging across ad libraries?▼

The best way to compare competitor messaging across ad libraries is by extracting themes from headlines, CTAs, and offers. Analyzing creative strategy and tone across Google Ads and Meta Ad Library reveals what resonates with the market and highlights positioning gaps.

Does competitive ad analysis work for benchmarking Apple Ads and Microsoft Ads?▼

Yes, competitive ad analysis works for benchmarking Apple Ads and Microsoft Ads by researching active ad presence within their transparency sources. It compares how competitors show up across these platforms and produces structured recommendations for positioning changes.

What limitations exist when estimating competitor ad spend from transparency centers?▼

When estimating competitor ad spend from transparency centers, limitations include relying on accessible public data rather than exact internal metrics. The analysis provides directional spend estimates and targeting pattern inferences rather than precise financial figures.

How do I turn competitor ad research into a structured intelligence report?▼

To turn competitor ad research into a structured intelligence report, extract active creatives, messaging themes, and keyword overlaps across platforms. This synthesis identifies competitive gaps and generates platform-specific recommendations to improve conversion efficiency.