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seo-adslisted

Paid-search competitive landscape for a domain or keyword. Pulls SE Ranking's PPC data — domain ad keyword footprint, ad copy patterns, who else bids on the same keywords, SERP shopping/ad-pack visibility — and produces a competitive ads brief plus a recommended bid-keyword shortlist. Use when the user asks "paid search analysis", "competitor ads", "PPC competitive", "ad copy intelligence", "shopping pack", "who bids on this keyword", or "paid keyword footprint".
seranking/seo-skills · ★ 54 · AI & Automation · score 83
Install: claude install-skill seranking/seo-skills
> Example output: [examples/seo-ads-hostinger-com-20260514/ADS.md](../../examples/seo-ads-hostinger-com-20260514/ADS.md) # Paid-Search Intelligence (Ads) Map a domain's paid-search footprint and the competitive landscape around its target keywords. Output: a brief on what the brand is bidding on, who else bids on the same terms, ad-copy patterns the leading competitors use, SERP ad+shopping presence per keyword, and a recommended bid-keyword shortlist. ## Prerequisites - SE Ranking MCP server connected. - User provides: (a) a target domain OR a target keyword (skill detects which), (b) target country (default `us`). ## Process 1. **Validate input & preflight** - Determine: domain mode (analyse a brand's paid footprint) or keyword mode (analyse the bidding landscape for one keyword). - `DATA_getCreditBalance` — surface remaining credits. 2. **Domain mode** `DATA_getDomainAdsByDomain` - Pull paid keywords the target domain bids on. - For each: keyword, search volume, CPC, position, ad copy (title + description), URL. - Sort by traffic-weighted score (`volume × CTR-by-paid-position × bid-share`). 3. **Keyword mode** `DATA_getDomainAdsByKeyword` - Pull all domains bidding on the target keyword. - For each: domain, ad position, ad copy, URL. - Surface the top 10 advertisers + their copy patterns. 4. **Intent enrichment** `DATA_getKeywordQuestions` - For the keyword(s) in scope, pull related questions. - Identifies question-phrased intent vari