ad-research

Compile and analyze competitor ads from Meta, Google, and TikTok ad libraries.

40|5|Updated Mar 16, 2026
One-click install
npx skills add https://github.com/cgallic/kai-cmo-harness --skill ad-research-cgallic
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ad-research
Source: https://github.com/cgallic/kai-cmo-harness/tree/main/ad-research
Command: npx skills add https://github.com/cgallic/kai-cmo-harness --skill ad-research-cgallic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researching and benchmarking competitor ads to reveal patterns and gaps.

Core Features & Use Cases

  • Identify ad libraries across Meta Ad Library, Google Ads Transparency Center, and TikTok Creative Center.
  • Gather creatives, copy, and launch dates for benchmarking across platforms.
  • Provide strategic recommendations and testing ideas based on observed patterns.

Quick Start

Run /ad-research with a competitor and platform to fetch and analyze active ads.

Frequently Asked Questions about ad-research

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

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

Analyzing competitor ads involves mapping ad library URLs across Meta Ad Library, Google Ads Transparency Center, and TikTok Creative Center to gather creatives, copy, and launch dates for benchmarking active campaigns.

What is the best way to find competitor ad patterns and landing page strategies?

Finding competitor ad patterns requires classifying creatives and assessing longevity across multiple ad libraries. This reveals active hooks, offers, and landing-page strategies to produce strategic recommendations and testing ideas.

Can I gather ad copy and launch dates from multiple platforms for benchmarking?

Yes, you can gather ad copy and launch dates from multiple platforms. The process maps ad library URLs across Meta, Google, and TikTok to collect active creatives and classify marketing insights for benchmarking.

How do I get strategic recommendations from competitor ad research?

You get strategic recommendations by compiling and analyzing active ads to identify creative patterns. Mapping the gathered data reveals effective hooks and offers, which translates directly into actionable testing ideas.

Does competitor ad research work for gathering marketing insights across Meta and TikTok?

Yes, competitor ad research works for Meta and TikTok. It maps ad library URLs across Meta Ad Library and TikTok Creative Center to classify creative patterns and deliver organized marketing insights.