Competitor Keyword Analysis

Q: Why use Competitor Keyword Analysis on TypingMind?

Because you install it once and use it with any model. Competitor Keyword Analysis 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.

Q: How do I install Competitor Keyword Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/superamped/ai-marketing-skills/tree/main/skills/research/competitor-keyword-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Competitor Keyword Analysis?

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.

Q: How many AI models can I use with Competitor Keyword Analysis?

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

Q: Is the Competitor Keyword Analysis AI skill free?

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

Q: 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.

Q: 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.

Community

superamped

competitor-keyword-analysis

Use this skill to map a competitor's organic search footprint with Keywords Everywhere ranking keywords, traffic estimates, and content-theme clusters. Trigger it when comparing SEO visibility, identifying competitor keyword strengths, or preparing deeper content-gap analysis.

Overview

Publisher	superamped
Repository	`ai-marketing-skills`
Skill name	`competitor-keyword-analysis`
Stars	73
Forks	6
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 superamped on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/superamped/ai-marketing-skills/tree/main/skills/research/competitor-keyword-analysis
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/superamped/ai-marketing-skills/tree/main/skills/research/competitor-keyword-analysis

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/superamped/ai-marketing-skills.git /tmp/ai-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/ai-marketing-skills/skills/research/competitor-keyword-analysis .claude/skills/competitor-keyword-analysis

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Keyword Analysis 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 Competitor Keyword Analysis 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 Competitor Keyword Analysis 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.

Competitor Keyword Analysis

Usage

Use for a quick SEO snapshot of a competitor's organic presence, or as input to competitor-content-analysis for deeper content strategy mapping.

Process

Step 1: Gather Inputs

Ask the user for:

Competitor name — the company to analyze
Competitor domain — e.g., example.com (no protocol)
Country code (optional) — defaults to "us"

Step 2: Validate MCP

Check that Keywords Everywhere MCP is connected.

If not connected, return empty data with the note: "Keywords Everywhere MCP not configured — SEO data not available." Don't block the user — return gracefully.

Step 3: Domain Keywords

Pull get_domain_keywords:

domain: competitor domain
country: from input or "us"
num: 100

This returns the top keywords the competitor ranks for, with estimated monthly traffic and SERP position per keyword.

Step 4: Traffic Metrics

Pull get_domain_traffic_metrics:

domains: [competitor domain]
country: same as Step 3

This returns estimated monthly organic traffic and total ranking keywords for the domain.

Step 5: Cluster into Content Themes

Group the top keywords into 3-5 content themes by topic similarity. For each theme:

Theme name — descriptive label (e.g., "project management guides", "pricing comparisons")
Keywords in theme — count
Combined estimated traffic — sum of traffic for keywords in the theme
Top keyword — highest-traffic keyword in the theme

These themes represent the competitor's content pillars from an SEO perspective.

Output Format


# Keyword Analysis: [Competitor Name]

**Domain:** [domain]
**Date:** [current date]
**Estimated monthly organic traffic:** [X]
**Total ranking keywords:** [X]

## Top Keywords

| Keyword | Est. Monthly Traffic | SERP Position |
|---------|---------------------|---------------|
| | | |

## Content Themes

| Theme | Keywords | Combined Traffic | Top Keyword |
|-------|----------|-----------------|-------------|
| | | | |

## Data Sources
- Keywords Everywhere: connected / not connected
- Country: [code]
- Domain keywords pulled: [count]

Rules

Never invent traffic numbers — all data comes from Keywords Everywhere.
Never call get_related_keywords or get_pasf_keywords — those are for keyword expansion, not competitor mapping.
If the domain returns very few keywords (< 10), the competitor may have minimal organic presence or the domain may be wrong — flag it.
If traffic metrics return zero, the domain may be too new or not indexed — flag it.
If Keywords Everywhere MCP is not connected, clearly state that and return an empty report structure.

Frequently asked questions

What does the Competitor Keyword Analysis AI skill do?

Why use Competitor Keyword Analysis on TypingMind?

Because you install it once and use it with any model. Competitor Keyword Analysis 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 Competitor Keyword Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/superamped/ai-marketing-skills/tree/main/skills/research/competitor-keyword-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Competitor Keyword Analysis?

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 Competitor Keyword Analysis?

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

Is the Competitor Keyword Analysis AI skill free?

Yes. It is published on GitHub by superamped 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Competitor Keyword Analysis

Usage

Process

Step 1: Gather Inputs

Step 2: Validate MCP

Step 3: Domain Keywords

Step 4: Traffic Metrics

Step 5: Cluster into Content Themes

Output Format

Rules

Frequently asked questions

Related AI Skills

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