keyword-research

Perform tri-surface keyword research for organic, AEO, and GEO opportunities.

207|31|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/AbsolutelySkilled/AbsolutelySkilled --skill keyword-research-absolutelyskilled
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: keyword-research
Source: https://github.com/AbsolutelySkilled/AbsolutelySkilled/tree/main/skills/keyword-research
Command: npx skills add https://github.com/AbsolutelySkilled/AbsolutelySkilled --skill keyword-research-absolutelyskilled

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Keyword research is a structured, tri-surface approach to identifying where organic, snippet (AEO), and AI-citation (GEO) opportunities exist, enabling better prioritization and content planning.

Core Features & Use Cases

  • Tri-surface scoring across Organic, AEO, and GEO surfaces to reveal total opportunity and priority surface.
  • Intent mapping, clustering, and content-brief generation to build pillar-spoke architectures.
  • Reference-guided workflows and templates to backfill data from Ahrefs/Semrush or free tools.
  • Use cases include launching new pages, optimizing existing content, and identifying quick wins.

Quick Start

Seed keywords, run tri-surface scoring, and generate a prioritized content plan.

Frequently Asked Questions about keyword-research

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

FAQPage Schema
How do I do keyword research for organic, snippet, and AI citation opportunities?

Tri-surface keyword research maps and scores opportunities across organic, AEO, and GEO surfaces. It clusters keywords by intent and generates content briefs to prioritize pillar-spoke architectures for all three search surfaces.

What's the best way to cluster keywords and generate content briefs for pillar pages?

Keyword clustering groups related terms by intent to build pillar-spoke content architectures. The process generates structured content briefs from these prioritized clusters, aligning topics for targeted publishing and quick wins.

Do I need Ahrefs or Semrush data to map keyword intent and score opportunities?

You can use Ahrefs or Semrush to backfill data for tri-surface scoring, but free Google Search Console data also works. The referenced workflows and templates guide gathering necessary metrics from either paid or free tools.

How does tri-surface scoring prioritize which keywords to target first?

Tri-surface scoring evaluates organic, snippet (AEO), and AI citation (GEO) potential to reveal total opportunity. It identifies quick wins and prioritizes clusters based on the highest-yielding surface for each keyword group.

Can I use free tools like GSC instead of paid platforms for SERP analysis and intent mapping?

Yes, free Google Search Console data can be used for SERP analysis and intent mapping. Reference-guided workflows support extracting and structuring the necessary data from GSC when paid tools like Ahrefs or Semrush are unavailable.

When should I focus on AEO and GEO surfaces instead of traditional organic keyword research?

Prioritize AEO and GEO surfaces when targeting AI citations and featured snippets alongside organic rankings. Tri-surface scoring reveals when snippet or AI citation opportunities outweigh traditional organic traffic potential for specific clusters.