agentleFS
01clauding01clauding/claude-seo-skill/skills/seo-keyword-research/SKILL.md

seo-keyword-research

Skill4 starsChanged 8 months agoMITView on GitHub

Comprehensive keyword research methodology covering seed keyword expansion, search volume and difficulty analysis, competitor keyword gap discovery, topic clustering, search intent classification, and keyword prioritization. Use when user says "keyword research", "find keywords", "keyword analysis", "keyword strategy", "topic clusters", or "keyword gap".

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 10 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Start with broad seed terms and expand systematically:

    line 22
  2. Distinctive:

    Always verify intent by checking actual SERP results:

    line 80
  3. Distinctive:

    If top 10 results are all blog posts → informational intent

    line 81
  4. Distinctive:

    If top 10 are product pages → transactional intent

    line 82

“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

seo-keyword-research — Keyword Research & Strategy

Research Process

Step 1: Seed Keyword Expansion

Start with broad seed terms and expand systematically:

Seed Sources

SourceMethodExample
Product featuresList core features/benefits"project management", "task tracking"
User pain pointsCommon problems your product solves"team collaboration issues", "missed deadlines"
Competitor brandsCompetitor product names"asana alternative", "trello vs"
Industry termsDomain-specific vocabulary"agile methodology", "sprint planning"
Question patternswhat/how/why/when/where + topic"how to manage remote teams"

Expansion Techniques

  1. Semantic expansion: Synonyms, related terms, variations
  2. Modifier expansion: best/top/free/cheap/vs/alternative + keyword
  3. Long-tail generation: 3-5 word phrases with specific intent
  4. PAA mining: Extract "People Also Ask" questions from SERP
  5. Autocomplete harvesting: Google/Bing/YouTube autocomplete suggestions
  6. Forum mining: Reddit, Quora, industry forums for real user language

Step 2: Keyword Metrics Analysis

Core Metrics

MetricSourceWhat It Tells You
Monthly search volumeGSC, DataForSEO, SEMrushDemand level
Keyword difficulty (KD)DataForSEO (0-100)Competition intensity
CPCGoogle Ads, DataForSEOCommercial value
Search trendGoogle Trends, DataForSEOSeasonality, growth
SERP featuresSERP API analysisOpportunity type
Click-through rateGSC (existing keywords)Actual traffic potential

Keyword Difficulty Interpretation

KD ScoreDifficultyTypical Requirements
0-20EasyQuality content, basic on-page SEO
21-40ModerateStrong content + some backlinks (10-30 referring domains)
41-60HardAuthority content + significant backlinks (30-100 RDs)
61-80Very HardDomain authority + comprehensive content strategy (100+ RDs)
81-100Extremely HardYears of authority building + PR + brand signals

Cross-reference: references/keyword-difficulty.md for industry benchmarks.

Search Volume Caveats

  • Volume is a range estimate, not an exact number
  • Seasonal keywords: always check 12-month trend (e.g., "tax software" peaks Jan-Apr)
  • Zero-volume keywords may still drive valuable traffic (emerging terms, long-tail)
  • Volume ≠ traffic — CTR varies by SERP features and position

Step 3: Search Intent Classification

IntentSignalsContent TypeConversion Proximity
Informationalwhat, how, why, guide, tutorialBlog post, guide, videoLow (awareness)
Commercialbest, top, review, comparison, vsComparison page, reviewMedium (consideration)
Transactionalbuy, price, discount, coupon, orderProduct page, pricingHigh (decision)
Navigational[brand name], login, supportHomepage, support pageVaries

Intent Validation

Always verify intent by checking actual SERP results:

  • If top 10 results are all blog posts → informational intent
  • If top 10 are product pages → transactional intent
  • Mixed results → blended intent (target the dominant format)

Step 4: Competitor Keyword Gap Analysis

Gap Types

TypeDefinitionAction
Missing keywordsCompetitor ranks, you don'tCreate new content
Weak keywordsBoth rank, competitor higherImprove existing content
Strong keywordsYou rank higherDefend and optimize
Unique keywordsOnly you rankProtect competitive advantage

Gap Analysis Process

  1. Identify 3-5 SERP competitors (domains ranking for your target keywords)
  2. Extract their ranking keywords (DataForSEO Domain Keywords API)
  3. Cross-reference with your GSC keyword data
  4. Filter: Volume ≥ 100, KD ≤ your_domain_DR + 10, relevant to business
  5. Prioritize by: Opportunity = Volume × (1 - your_visibility) × relevance

Step 5: Topic Clustering & Prioritization

Topic Cluster Model

Pillar Page: "Project Management" (high volume, broad)
├── Cluster: "Agile Project Management"
│   ├── "scrum vs kanban" (commercial)
│   ├── "how to run a sprint planning meeting" (informational)
│   └── "agile project management tools" (commercial)
├── Cluster: "Remote Team Management"
│   ├── "remote team communication tools" (commercial)
│   ├── "how to manage remote employees" (informational)
│   └── "remote work best practices" (informational)
└── Cluster: "Project Management Software"
    ├── "best project management software 2026" (commercial)
    ├── "free project management tools" (commercial)
    └── "asana vs monday vs clickup" (commercial)

Prioritization Formula

Priority Score = (Volume × CTR_potential × Business_value) / (Difficulty + 1)

Where:
- CTR_potential = estimated CTR for target position (pos 1: 0.30, pos 3: 0.12, pos 5: 0.06)
- Business_value = 1 (informational), 2 (commercial), 3 (transactional)
- Difficulty = KD score (0-100)

Priority Buckets

BucketCriteriaTimeline
Quick winsKD < 30, Volume > 500, you rank #11-30This month
Strategic targetsKD 30-60, Volume > 1000, high business valueNext quarter
Long-term playsKD > 60, Volume > 50006-12 months
DefensiveBrand keywords, existing #1-3 rankingsOngoing

Step 6: Keyword Strategy Output

Keyword Map Template

URLPrimary KWSecondary KWsLSI TermsIntentVolumeKDPriority
/blog/topic-a[main keyword][2-3 secondary][5-10 LSI]Info2,40035High
/product/feature[main keyword][2-3 secondary][5-10 LSI]Trans1,20055Strategic

Content Calendar Alignment

Map keywords to content calendar considering:

  • Seasonality: Schedule content 2-3 months before peak season
  • Trending topics: Fast-track emerging keywords (zero-volume → rising)
  • Competitor gaps: Prioritize topics where competitors are weak
  • Content clusters: Publish cluster articles before pillar pages

Quick Win Identification

Filter GSC data for immediate opportunities:

  1. Keywords ranking #4-20 with high impressions (striking distance)
  2. Keywords with high impressions but low CTR (title/description optimization)
  3. Keywords ranking #1-3 without Featured Snippet (snippet capture opportunity)

Data Sources

Primary: Google Search Console

  • Real click/impression data for existing keywords
  • Brand vs non-brand segmentation
  • Device and geo filtering
  • 16 months of historical data

Secondary: DataForSEO Keywords API

POST https://api.dataforseo.com/v3/keywords_data/google_ads/search_volume/live

{
  "keywords": ["project management", "task tracking", "team collaboration"],
  "location_code": 2840,
  "language_code": "en",
  "date_from": "2025-01-01",
  "date_to": "2026-03-01"
}

Key endpoints:

EndpointPurpose
/v3/keywords_data/google_ads/search_volume/liveVolume + CPC + competition
/v3/keywords_data/google_ads/keywords_for_site/liveKeywords for a domain
/v3/dataforseo_labs/google/keyword_suggestions/liveRelated keyword suggestions
/v3/dataforseo_labs/google/keyword_ideas/liveSeed → expanded keyword list
/v3/dataforseo_labs/google/keywords_for_categories/liveCategory-based keywords
/v3/dataforseo_labs/google/domain_intersection/liveCompetitor keyword overlap

Tertiary: SERP Analysis

Cross-reference with seo-rank-tracker for SERP feature data and seo-content-brief for content planning.

Scoring

CategoryWeight
Seed Keyword Coverage20%
Search Intent Accuracy20%
Competitor Gap Identification20%
Topic Cluster Organization15%
Prioritization Quality15%
Strategy Actionability10%

Output Format

Generate KEYWORD-RESEARCH-[topic].md with:

  1. Keyword Universe (total keywords discovered, by intent type)
  2. Top 50 Keywords (sorted by priority score with all metrics)
  3. Topic Clusters (visual hierarchy with pillar → cluster → content)
  4. Competitor Gap Matrix (your keywords vs top 3 competitors)
  5. Quick Wins (immediate opportunities from existing rankings)
  6. Content Calendar (recommended publishing sequence)
  7. Keyword Map (URL-to-keyword assignments)

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.