Keyword research methodology for content strategy and SEO. Use when planning content, identifying opportunities, or building topic clusters.
SEO Keyword Research skill applies rigorous methodology to build keyword sets for content strategy, site architecture, and opportunity sizing—not generic planner dumps. It uses seed expansion, SERP validation, intent classification, difficulty and business value scoring, topical clustering, and cannibalization checks against existing URLs.
Methodology emphasizes search intent accuracy, long-tail coverage for B2B niches, seasonal patterns, and SERP feature mapping (snippets, PAA, AI Overviews) to inform content format decisions.
SEO specialists planning new clusters, content writers needing validated briefs, startups entering competitive categories with limited domain authority, and agencies standardizing research deliverables across clients.
Foundation for SEO Content Strategy, BOFU strategy, and On-Page Optimization skills.
Gather seeds from customers, products, GSC queries, competitors, and forums. Expand and dedupe; classify informational, commercial, transactional, navigational. Score opportunities by volume, difficulty proxy, business relevance, and current ranking proximity.
Cluster into pillars and supporting topics; map to existing or proposed URLs. Flag quick wins versus long-term authority builds. Export prioritized keyword list with recommended page type and notes.
Researchers ask volume thresholds in low-search B2B markets—workflows prioritize intent quality and conversion proximity over raw MSV. Another topic is tool stack; skill methodology is tool-agnostic though planner and GSC data integrate well.
Cannibalization resolution options include merge, differentiate, or redirect with decision criteria.
Provide domain, niche, competitors, and goals. Request full research pack or cluster for one pillar. Feed outputs into content briefs and Sanity drafts. Refresh research quarterly or when launching new product lines.
Research deliverables include content type recommendations—guide, tool, comparison, glossary—and notes on SERP volatility when AI Overviews compress click opportunity. SERP feature mapping identifies snippet and PAA targets worth explicit on-page sections. Stakeholder summaries translate keyword clusters into business language: pipeline potential, product line alignment, and competitive urgency. Refresh triggers define when to rerun research after product launches, repositioning, or major competitor content moves.
Keyword difficulty interpretation avoids over-reliance on third-party scores—SERP qualitative review confirms when low scores still face entrenched brands or AI Overviews dominating attention. Parent topic mapping shows how supporting articles roll into pillar measurement in GSC performance grouping.
Voice and conversational query variants supplement traditional typed searches where assistants influence discovery phrasing in mobile and smart speaker contexts modestly but measurably in some verticals.
Integration with content management workflows specifies how keyword clusters map to CMS taxonomies, tags, and hub navigation labels for consistent site architecture execution.
For broader context, see our roundup of claude marketing skills, and read Claude skills for SEO for related setup guidance.