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search-ad-keyword-architect

Integrate competitor SEO keywords, reviews, Reddit discussions, and site content into a structured paid search keyword framework.

1.1k|200|Updated Mar 2, 2026
Search Tags:#keyword-research#competitor-analysis#funnel-mapping#paid-search#keyword-architecture#match-types#brand-vs-non-brand
One-click install
npx skills add https://github.com/gooseworks-ai/goose-skills --skill search-ad-keyword-architect-gooseworks-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: search-ad-keyword-architect
Source: https://github.com/gooseworks-ai/goose-skills/tree/main/skills/composites/search-ad-keyword-architect
Command: npx skills add https://github.com/gooseworks-ai/goose-skills --skill search-ad-keyword-architect-gooseworks-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep keyword research for paid search by analyzing competitor SEO keywords, review language, Reddit/community terminology, and existing site content to build a robust keyword architecture: branded vs non-branded, funnel stage mapping, match type recommendations, and estimated competition tiers. Use before building a Google Ads campaign or to audit an existing one.

Core Features & Use Cases

  • Competitor SEO keyword mining to surface high-potential terms.
  • Review language and community-term mining to capture buyer phrasing.
  • Site content audit to map keywords to pages and gaps.
  • Generate a structured keyword architecture with funnel stages, intent buckets, and match-type guidance.
  • Use Case: Prepare a keyword strategy before launching a paid search campaign or audit an existing keyword list.

Quick Start

Run a keyword research workflow to generate a structured keyword architecture for a paid search campaign.

Frequently Asked Questions about search-ad-keyword-architect

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

FAQPage Schema
How do I build a keyword architecture for a paid search campaign?▼

Building a keyword architecture involves mining competitor SEO keywords, review language, and community terminology to generate a structured framework with branded vs non-branded terms, funnel-stage mapping, and match-type recommendations for Google Ads.

What is the best way to map competitor keywords to a paid search funnel?▼

Mapping competitor keywords to a paid search funnel requires analyzing competitor domains and Reddit discussions to categorize terms by intent buckets and funnel stages, producing a structured output of ad groups and negative keyword strategies.

Can I use community terminology from Reddit to improve my keyword research?▼

Yes, you can use community terminology from Reddit discussions to improve keyword research by capturing actual buyer phrasing and review language, which helps surface high-potential terms for your paid search campaigns.

How do I separate branded vs non-branded keywords for a Google Ads audit?▼

Separating branded vs non-branded keywords for a Google Ads audit requires ingesting existing site content and competitor domains to structure your keyword universe into distinct intent buckets with specific match-type guidance.

Does keyword research for software and marketing spaces require negative keyword strategies?▼

Yes, keyword research for software and marketing spaces requires a negative keyword strategy to filter irrelevant traffic, which is delivered alongside your keyword universe and ad group structure during the architecture building process.

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