Does it support different prioritization models?

The skill provides templates for ICE, RICE, and weighted scoring models to ensure your SEO efforts align with specific business goals.

How does this skill help with SEO strategy?

It automates the transition from raw seed topics to prioritized content clusters by analyzing user intent, search volume, and business value.

How does it handle keyword intent?

It classifies queries into informational, commercial, transactional, and navigational categories to help you create content that matches the SERP expectations.

Can I use this for existing content audits?

Yes, it is specifically designed to refresh legacy keyword maps and identify new opportunities within your existing content pillars.

Keyword Research Systems

Name: Keyword Research Systems
Author: gtmagents

bygtmagents

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Marketing Automation

Automates the identification, clustering, and prioritization of search keywords based on intent and business impact.

About

The Keyword Research Systems skill transforms Claude into a strategic SEO consultant capable of building data-driven content roadmaps. It guides users through a structured framework—from capturing ICP-specific problems and expanding seed terms using multi-source intelligence to classifying intent and scoring opportunities via ICE/RICE frameworks. By automating the mapping of pillar-cluster architectures and SERP teardowns, this skill ensures that marketing and product teams focus their content efforts on high-impact queries that align with the buyer's journey.

Key Features

Pillar-cluster internal linking architecture mapping
Multi-source expansion including People Also Ask and competitor analysis
29 GitHub stars
Intent-based keyword clustering and classification
SERP feature and schema presence analysis
ICE/RICE scoring for objective opportunity prioritization

Use Cases

Identifying high-conversion commercial intent gaps in existing content libraries
Developing a comprehensive SEO plan for a new product launch or vertical
Refreshing legacy keyword maps with updated search volumes and intent data

About

Key Features

Pillar-cluster internal linking architecture mapping
Multi-source expansion including People Also Ask and competitor analysis
29 GitHub stars
Intent-based keyword clustering and classification
SERP feature and schema presence analysis
ICE/RICE scoring for objective opportunity prioritization

Use Cases

Identifying high-conversion commercial intent gaps in existing content libraries
Developing a comprehensive SEO plan for a new product launch or vertical
Refreshing legacy keyword maps with updated search volumes and intent data