---
name: Competitor Ad Intelligence
slug: competitor-ad-intelligence
category: Data
description: Competitor Ad Intelligence researches competitor paid-ad presence, messaging, creative, formats, landing pages, and keyword signals across transparent ad libraries. Use it for competitive PPC analysis and ad gap discovery without scraping private surfaces.
github: "https://github.com/AgriciDaniel/claude-ads/tree/main/skills/ads-competitor"
language: Python
stars: 8064
forks: 1200
install: "npx degit https://github.com/AgriciDaniel/claude-ads/tree/main/skills/ads-competitor ~/.claude/skills/ads-competitor"
installs_to: ~/.claude/skills/ads-competitor
source_path: skills/ads-competitor/SKILL.md
collection_size: 25
category_size: 668
collection_url: "https://dirskills.com/collections/AgriciDaniel/claude-ads"
added: 2026-08-15T06:51:06.658Z
last_synced: 2026-08-15T06:51:06.658Z
canonical_url: "https://dirskills.com/skills/competitor-ad-intelligence"
---

# Competitor Ad Intelligence

Competitor Ad Intelligence researches competitor paid-ad presence, messaging, creative, formats, landing pages, and keyword signals across transparent ad libraries. Use it for competitive PPC analysis and ad gap discovery without scraping private surfaces.

**Install:**

```bash
npx degit https://github.com/AgriciDaniel/claude-ads/tree/main/skills/ads-competitor ~/.claude/skills/ads-competitor
```

## README

# Competitor Ad Intelligence

1. Confirm named competitors, market, geography, customer, objective, and decision.
2. Use official transparency libraries, public ads, auction data supplied by the
   operator, and other terms-compliant sources.
3. Record capture date, platform, placement, observable creative/message, landing
   destination, and source URL.
4. Separate direct observations from inferred audience, spend, performance, or
   strategy; never present estimates as account facts.
5. Cluster durable themes, formats, offers, funnel paths, and gaps without copying
   protected creative or text.
6. Return evidence-backed opportunities, risks, experiments, and source records.

Respect platform terms, robots and access controls, copyright, trademarks, and
privacy. Do not bypass authentication or scrape private account surfaces.