Keyword Researcher uses LangChain to discover high-value keywords, estimate search volumes, cluster related terms, and identify content gaps. It goes beyond traditional keyword tools by understanding search intent and suggesting content strategies — not just keyword lists.
Keyword research is the foundation of any SEO or content strategy. Keyword Researcher automates the discovery process by taking a seed topic and expanding it into a comprehensive keyword map with volume estimates, difficulty scores, and content recommendations.
What sets this apart from traditional tools is intent understanding. It doesn’t just find keywords — it groups them by search intent (informational, commercial, navigational, transactional) and suggests the right content format for each cluster. “Best AI agents” gets a listicle recommendation, while “how do AI agents work” gets an explainer.
The skill also performs content gap analysis — comparing your existing content against keyword opportunities to find what you’re missing.
# Discover keywords from a seed topic
keyword-research --seed "AI agents" --depth deep
# Analyze competitor keywords
keyword-research --competitor "https://competitor.com" --gaps-only
# Generate content plan
keyword-research --seed "AI agents" --output content-plan --format markdown
Seed: "AI agents"
Discovered: 847 keywords in 12 clusters
Top Clusters:
1. "What are AI agents" (Informational)
- what are ai agents: 12,100/mo, KD: 45
- ai agents explained: 3,600/mo, KD: 38
→ Recommended: Long-form explainer (2,500+ words)
2. "Best AI agents" (Commercial)
- best ai agents 2026: 8,100/mo, KD: 62
- top ai coding agents: 4,400/mo, KD: 55
→ Recommended: Comparison listicle with ratings
3. "AI agent frameworks" (Informational/Commercial)
- ai agent frameworks: 5,400/mo, KD: 48
- langchain vs crewai: 2,900/mo, KD: 41
→ Recommended: Comparison guide with code examples
Content Gaps (you're missing):
🔴 "ai agents for business" — 6,600/mo, no existing content
🔴 "ai agent security" — 3,200/mo, no existing content
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