keyword-research

Discovers and prioritizes SEO keywords from a seed topic using volume, competition, and intent analysis.

Updated Aug 28, 2026
One-click install
npx skills add https://github.com/jeremybrasher/grokbot-skills --skill keyword-research-jeremybrasher
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: keyword-research
Source: https://github.com/jeremybrasher/grokbot-skills/tree/main/collections/notfair/skills/keyword-research
Command: npx skills add https://github.com/jeremybrasher/grokbot-skills --skill keyword-research-jeremybrasher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Finding the right keywords to target is slow and guesswork-driven when done manually. This Skill turns a single seed keyword or niche into a structured, prioritized keyword strategy so you know which terms are worth creating content for. ## Core Features & Use Cases - Keyword Discovery: Expands a seed keyword or niche into a broad set of candidate keywords for SEO and GEO content strategies. - Prioritization Analysis: Evaluates keywords by search volume, competition, search intent, and business relevance to surface high-value opportunities. - Topic Clustering: Groups related keywords into topic clusters that can drive a content strategy. - Use Case: You run a niche SaaS blog and want to grow organic traffic. Provide your product niche as the seed, and receive a prioritized keyword list with topic clusters to plan your next quarter of content. ## Quick Start Ask the agent to run keyword research on your niche, for example: find high-value keywords and topic clusters for the seed topic 'email marketing automation'.

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 from a seed keyword?▼

Provide a seed keyword, topic, or niche as input, and the workflow expands it into candidate keywords, then scores them by search volume, competition, intent, and business relevance. The output is a prioritized list of keyword opportunities grouped into topic clusters.

What is the difference between keyword research and content planning?▼

Keyword research is seed-driven discovery of new keyword opportunities and topic clusters. Content planning builds a dated editorial calendar from your own Search Console data. Use keyword research first to find opportunities, then a content planner to schedule them.

How are keywords prioritized in keyword analysis?▼

Keywords are evaluated against four signals: search volume, ranking competition, search intent, and relevance to your business. High-value opportunities combine meaningful volume with achievable difficulty and strong alignment with your offering.

Can keyword research support GEO and AI search optimization?▼

Yes. The workflow covers both traditional SEO and GEO (generative engine optimization) content strategies, identifying terms and topic clusters that help content surface in search engines and AI-generated answers.

When should I not use seed-based keyword discovery?▼

Avoid it when you already have performance data and need a scheduling plan instead of new ideas. If your goal is building a dated editorial calendar from existing Search Console data, use a content-planner workflow instead.