home / skills / gtmagents / gtm-agents / keyword-research
This skill expands seed topics into intent-based clusters, scores opportunities, and prioritizes content ideas to boost SEO and revenue impact.
npx playbooks add skill gtmagents/gtm-agents --skill keyword-researchReview the files below or copy the command above to add this skill to your agents.
---
name: keyword-research
description: Use when expanding seed topics into intent-based clusters and prioritizing
opportunities.
---
# Keyword Research Systems Skill
## When to Use
- Kicking off a new product/vertical SEO plan.
- Validating which clusters justify net-new content.
- Refreshing legacy keyword maps with updated volumes/intent.
## Framework
1. **Seed Intake** – capture ICP, problems solved, solution terms.
2. **Expansion Sources** – combine auto-suggest, People Also Ask, competitor URLs, forums.
3. **Classification** – assign funnel stage + intent (informational, commercial, transactional, navigational).
4. **Scoring** – evaluate search volume, keyword difficulty, SERP click potential, seasonality.
5. **Prioritization** – stack rank via ICE/RICE or weighted scoring tied to business impact.
## Templates
- Cluster worksheet `Topic → Intent → Page Type → Owner`.
- SERP teardown table (result type, schema, search feature presence).
- Opportunity score calculator (volume * intent-fit / difficulty).
## Tips
- Map 1 pillar page for every 4-6 cluster articles to support internal linking.
- Track query freshness to schedule refresh cadences.
- Align with paid search data to spot immediate conversion opportunities.
---
This skill helps expand seed topics into intent-based keyword clusters and prioritize opportunities that drive organic growth. It combines multiple expansion sources, intent classification, and a scoring framework to create actionable content and campaign roadmaps. Use it to turn product knowledge and ICP inputs into a ranked list of content priorities tied to business impact.
The skill ingests seed inputs—ICP attributes, problems solved, and solution terms—then expands them using auto-suggest, People Also Ask, competitor pages, and forum queries. Each candidate keyword is classified by funnel stage and intent (informational, commercial, transactional, navigational). Finally it scores terms by volume, difficulty, SERP click potential, and seasonality, producing a prioritized cluster list and recommended page types.
How do you define 'intent-fit' in the scoring model?
Intent-fit measures how well the keyword’s user intent matches an owned page type and conversion goal; higher fit increases priority even if volume is moderate.
What expansion sources produce the best growth opportunities?
Combining auto-suggest, People Also Ask, competitor URLs, and relevant forums yields the broadest set of real-user queries and uncovers niche, high-intent opportunities.