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Keyword Research And Clustering

Community
manojbajaj95
keyword-research-and-clustering

Research, expand, and cluster keywords for content strategy. Use when planning content topics, building keyword lists, expanding seed keywords, clustering by topic and intent, or mapping keywords to funnel stages. Triggers on "keyword research," "keyword expansion," "keyword clustering," "content topics," "what to write about," "topic ideation," "content planning," "6 circles method," "seed keywords," "keyword difficulty," "search volume," "intent mapping," "pillar content strategy," or "content calendar planning." For SEO optimization and auditing, see seo-and-aeo-strategy.

Overview

Publishermanojbajaj95
Repositoryclaude-gtm-plugin
Skill namekeyword-research-and-clustering
Stars
109
Forks
34
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by manojbajaj95 on GitHub. Read the source before you install it.

Installation

Install the Keyword Research And Clustering AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/keyword-research-and-clustering
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/manojbajaj95/claude-gtm-plugin.git /tmp/claude-gtm-plugin
mkdir -p .claude/skills
cp -r /tmp/claude-gtm-plugin/skills/keyword-research-and-clustering .claude/skills/keyword-research-and-clustering
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Keyword Research And Clustering in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Keyword Research And Clustering on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Keyword Research And Clustering is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Keyword Research & Clustering

Workspace Context

Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.

Operating Contract

This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.

Research keywords, expand them systematically, cluster by topic and intent, and prioritize for content strategy — all without expensive tools.


Required Input

Ask the user for:

  1. Niche/Industry — What space are you in?
  2. Target Audience — Who are you writing for?
  3. Business Goal — Traffic, leads, sales, authority?
  4. Existing Content — Do you have a site/blog already?

The 6 Circles Method

Generate 13 content ideas from a single seed keyword using nested topic clusters.

                    ┌─────────────────────┐
                    │   PRIMARY KEYWORD   │  ← 1 pillar topic
                    │   (Largest Circle)  │
                    └─────────────────────┘
                              │
            ┌─────────────────┼─────────────────┐
            ▼                 ▼                 ▼
     ┌───────────┐     ┌───────────┐     ┌───────────┐
     │ Sub-topic │     │ Sub-topic │     │ Sub-topic │  ← 3 supporting themes
     │     A     │     │     B     │     │     C     │
     └───────────┘     └───────────┘     └───────────┘
            │                 │                 │
      ┌─────┼─────┐     ┌─────┼─────┐     ┌─────┼─────┐
      ▼     ▼     ▼     ▼     ▼     ▼     ▼     ▼     ▼
     [1]   [2]   [3]   [4]   [5]   [6]   [7]   [8]   [9]  ← 9 content pieces

Process:

  1. Identify primary keyword — high-traffic, high-intent topic in your niche
  2. Brainstorm 3 sub-topics — related themes that support the primary
  3. Generate 3 pieces per sub-topic — specific articles addressing aspects of each

Content Types for Supporting Pieces

TypeExample
How-to Guide"How to [achieve outcome] with [method]"
Comparison"[Option A] vs [Option B]: Which is better for [use case]"
List Post"[Number] [adjective] ways to [achieve result]"
Case Study"How [persona] achieved [result] using [approach]"
Trend Analysis"[Topic] trends in [year]: What's changing"
Beginner Guide"[Topic] for beginners: Everything you need to know"
Tool Review"Best [category] tools for [audience/use case]"
Problem-Solution"Why [problem happens] and how to fix it"

Seed Generation (50–100 Keywords)

Google Autocomplete & PAA

  • Type [keyword] + a–z variations
  • "how to [keyword]", "best [keyword] for", "[keyword] vs"
  • Capture People Also Ask questions from SERP

Community Mining

SourceWhat to Extract
RedditPain points, questions, terminology
QuoraQuestion patterns, answer gaps
Industry ForumsNiche-specific problems
YouTube CommentsObjections, confusion points
Amazon ReviewsCustomer language, unmet needs

Reddit Mining Protocol

Search queries:

site:reddit.com "[niche]" + "how do I"
site:reddit.com "[niche]" + "help"
site:reddit.com "[niche]" + "struggling with"
site:reddit.com "[niche]" + "recommend"
site:reddit.com "[niche]" + "vs"

Extract: Questions asked repeatedly (content opportunities), complaints about existing solutions (angle differentiation), terminology and slang (keyword variations), upvote patterns (demand signals).


Keyword Expansion Techniques

Modifier Categories

Question modifiers:

  • What is {keyword} / How to {keyword} / Why {keyword} / When to {keyword}

Comparative modifiers:

  • {keyword} vs {competitor} / {keyword} alternatives / best {keyword} / {keyword} comparison

Intent modifiers:

  • {keyword} guide / {keyword} tutorial / {keyword} examples / {keyword} template / buy {keyword} / {keyword} pricing

Audience modifiers:

  • {keyword} for beginners / {keyword} for {industry} / {keyword} for small business / {keyword} for enterprise

Expansion Procedure

  1. Extract current topic scope and any exclusions
  2. Propose expansions: synonyms, related terms, acronyms
  3. Add explicit exclusions for common false positives
  4. Document "why" for each change
  5. Keep query count manageable — merge near-duplicates instead of adding many variations

Free Tool Arsenal

Demand Research

ToolUse ForAccess
Google Keyword PlannerVolume ranges, competitionads.google.com (free account)
Google TrendsSeasonality, rising topicstrends.google.com
Ahrefs Free Generator150 suggestions with difficultyahrefs.com/keyword-generator
Ubersuggest3 searches/day with metricsneilpatel.com/ubersuggest

Intent Discovery

ToolUse ForAccess
Google AutocompleteReal-time user queriesType in search bar
People Also AskQuestion-based contentScroll down in SERP
Answer the PublicVisual question mapsanswerthepublic.com
AlsoAskedPAA clusteringalsoasked.com

Competition Assessment (Manual SERP Analysis)

For each target keyword, analyze top 10 results:

SignalWhat to Look ForOpportunity If...
Content DepthWord count, comprehensivenessTop results are thin (<1000 words)
FreshnessPublication date, last updateTop results are 2+ years old
Format MatchDoes format match intent?Results don't match searcher need
Authority GapDomain strength of rankersSmall sites ranking (not all big brands)
Content GapsMissing subtopics, unanswered questionsPAA questions not covered

Sweet Spot Targets by Site Stage

Site StageMonthly Search VolumeCompetition Level
New site (0–6 months)100–500Low
Growing site (6–18 months)500–2,000Low–Medium
Established site (18+ months)1,000–10,000Medium

Clustering Algorithm

  1. Extract seed topics — Identify main themes from expanded list
  2. Group by semantic similarity — Keywords with overlapping meaning
  3. Map intent — Assign Informational / Commercial / Transactional / Navigational
  4. Identify pillar — Highest-volume, broadest term = pillar page
  5. Map supporting — Lower-volume terms support pillar

Cluster Structure Example

PILLAR: "content marketing" (highest volume)
├── CLUSTER: "content marketing strategy" (commercial)
│   ├── content marketing plan template
│   ├── content marketing framework
│   └── how to create content marketing strategy
├── CLUSTER: "content marketing examples" (informational)
│   ├── B2B content marketing examples
│   ├── content marketing case studies
│   └── content marketing success stories
└── CLUSTER: "content marketing tools" (commercial)
    ├── best content marketing tools
    ├── content marketing software
    └── content marketing platforms

Intent Classification

SignalIntent
"what is", "how to", "guide"Informational
"best", "vs", "review", "compare"Commercial
"buy", "price", "discount", brandTransactional
Brand name, specific productNavigational

Prioritization Matrix

Score each keyword 1–10:

KeywordDemandCompetitionIntent FitOpportunity
[keyword][1–10][1–10, lower=easier][1–10]Demand − Competition

Prioritize: Opportunity score > 3, Intent fit > 6


Output Format

markdown
# Keyword Research: [Niche/Topic]

## 6 Circles Content Plan

### Primary Keyword: [keyword]
- Monthly searches: [range]
- Competition: [low/medium/high]
- Intent: [informational/commercial/transactional]

### Sub-topic A: [theme]
1. [Article idea] — [target keyword] — [volume]
2. [Article idea] — [target keyword] — [volume]
3. [Article idea] — [target keyword] — [volume]

### Sub-topic B: [theme]
4–6. [...]

### Sub-topic C: [theme]
7–9. [...]

## Prioritized Content Queue

| Priority | Topic | Keyword | Volume | Difficulty | Opportunity |
|----------|-------|---------|--------|------------|-------------|
| 1 | [topic] | [keyword] | [vol] | [1–10] | [score] |

## Quick Wins (Low Competition, Decent Volume)
- [keyword 1] — [rationale]
- [keyword 2] — [rationale]

## Content Gaps Found
- [gap 1] — competitors missing [what]
- [gap 2] — outdated content on [topic]

## Community Insights
- Top pain point: [description]
- Common question: [question]
- Terminology used: [terms]

Related Skills

  • seo-and-aeo-strategy — SEO optimization and AI search visibility
  • content-strategy-and-planning — Detailed content strategy from keyword research
  • content-creation-and-marketing — Writing the actual content
  • seo-and-aeo-strategy — Building SEO page plans at scale from keyword data

Frequently asked questions

What does the Keyword Research And Clustering AI skill do?

Research, expand, and cluster keywords for content strategy. Use when planning content topics, building keyword lists, expanding seed keywords, clustering by topic and intent, or mapping keywords to funnel stages. Triggers on "keyword research," "keyword expansion," "keyword clustering," "content topics," "what to write about," "topic ideation," "content planning," "6 circles method," "seed keywords," "keyword difficulty," "search volume," "intent mapping," "pillar content strategy," or "content calendar planning." For SEO optimization and auditing, see seo-and-aeo-strategy.

Why use Keyword Research And Clustering on TypingMind?

Because you install it once and use it with any model. Keyword Research And Clustering is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Keyword Research And Clustering in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manojbajaj95/claude-gtm-plugin/tree/main/skills/keyword-research-and-clustering. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Keyword Research And Clustering?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Keyword Research And Clustering?

As many as you like. As long as a model supports skills, you can use Keyword Research And Clustering with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Keyword Research And Clustering AI skill free?

Yes. It is published on GitHub by manojbajaj95 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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