Competitor Analysis logo

Competitor Analysis

CommunityPopular
aaron-he-zhu
competitor-analysis

Use when the user asks to "analyze competitors" or "竞品分析"; benchmarks competitor keywords, content, backlinks, AI citations, and traffic share into strengths, weaknesses, and an action plan. Not for a pairwise topic-coverage gap map — use content-gap-analysis. 竞品分析/竞争对手

Overview

Publisheraaron-he-zhu
Repositoryaaron-marketing-skills
Skill namecompetitor-analysis
Stars
2.9K
Forks
373
Bundled files
4
LicenseApache-2.0
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aaron-he-zhu on GitHub. Read the source before you install it.

Installation

Install the Competitor Analysis 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/aaron-he-zhu/aaron-marketing-skills/tree/main/seo-geo/survey/competitor-analysis
  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/aaron-he-zhu/aaron-marketing-skills.git /tmp/aaron-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/aaron-marketing-skills/seo-geo/survey/competitor-analysis .claude/skills/competitor-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor 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 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 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 Analysis

Analyzes competitor SEO and GEO strategies to reveal repeatable wins, weak spots, and market gaps.

Quick Start

Analyze SEO strategy for [competitor URL]
Compare my site [URL] against [competitor 1], [competitor 2], [competitor 3]

Skill Contract

Expected output: a prioritized competitor brief plus the standard handoff summary for memory/research/.

  • Reads: competitor URLs/domains, your own site metrics, business model, target audience, industry context, and any user-provided or tool data.
  • Writes: a user-facing analysis and reusable summary.
  • Promotes: durable competitor facts, keyword priorities, entity candidates, and pending strategy decisions to memory/hot-cache.md, memory/open-loops.md, and memory/research/.
  • Done when: 3-5 competitors are benchmarked across keywords, backlinks, and traffic share in one comparison table; each strength-to-learn and weakness-to-exploit cites evidence; and the deliverable closes with an Immediate / Short-term / Long-term plan.
  • Primary next skill: content-gap-analysis when the competitive landscape is clear.

Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

Optional integrations: ~~SEO tool, ~~analytics, ~~AI monitor. Without tools, ask for competitor URLs, your site metrics, and industry context. See CONNECTORS.md.

Zero-dependency competitor fetch (keyless): python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/firecrawl.py" scrape <competitor-url> returns the rendered page as LLM-ready markdown (JavaScript-heavy pages included), firecrawl.py map <competitor-domain> --limit 500 inventories their URL surface fast, and firecrawl.py search "<brand or topic>" --tbs qdr:m finds their fresh coverage — all on Firecrawl's keyless free tier (~1,000 credits/mo). The connector pre-flights the target's robots.txt locally and refuses on a Disallow per SECURITY.md §Scraping Boundaries. See scripts/connectors/README.md.

Decision Gates

Stop and ask — when the competitor set cannot be established:

  1. No competitors named and none inferable from CLAUDE.md, prior research, or the user's niche → ask the user to name 2-5 competitors, OR offer to infer them from a target keyword via serp-analysis first.

Continue silently — do not stop for: which 3-5 of a longer list to deep-dive (pick the closest direct competitors and note the rest); missing your-own-site metrics (benchmark competitors against each other and mark your row N/A); missing optional tool data (label Estimated and proceed).

Instructions

When a user requests competitor analysis:

  1. Identify Competitors — separate direct competitors, indirect alternatives, and content competitors if the user has not named them already.
  2. Gather Competitor Data — capture URL, domain age, estimated traffic, domain authority, business model, target audience, and key offerings.
  3. Analyze Keyword Rankings — document total rankings, top 10/top 3 counts, high-value keywords, intent mix, and keyword gaps.
  4. Audit Content Strategy — review content volume, top performers, publishing patterns, themes, and success factors.
  5. Analyze Backlink Profile — review backlink totals, quality mix, top linking domains, link acquisition patterns, and linkable assets.
  6. Technical SEO Assessment — evaluate Core Web Vitals, mobile-friendliness, architecture, internal linking, URL structure, and standout strengths/weaknesses.
  7. GEO / AI Citation Analysis — test which queries cite competitors, what formats get cited, and where competitors still leave openings.
  8. Synthesize Competitive Intelligence — deliver an Executive Summary, comparison table, CITE comparison, strengths to learn from, weaknesses to exploit, keyword opportunities, content recommendations, and an Immediate / Short-term / Long-term plan.

Label every metric Measured (tool/export), User-provided, or Estimated (model inference); never present an estimate as measured; if a required metric is unavailable, mark it N/A — do not invent it.

Quality bar: every strength or weakness ties to a labeled metric and a named competitor — a specific ranking or backlink figure for a named domain, not "strong content presence".

Reference: See Analysis Templates for the compact templates used at each step.

Example

See references/example-report.md for a full sample analyzing HubSpot's marketing keyword dominance.

Advanced Analysis Types

Content Gap Analysis

For a pairwise topic-coverage gap map ("content [competitor] has that I don't, sorted by traffic potential"), hand off to content-gap-analysis — that is its dedicated job.

Video Benchmarking

When a competitor invests in video, benchmark their YouTube outliers (views >=2x their channel average) and the title/thumbnail packaging that drives those wins — those patterns show what topics and framing earn reach. See platforms/youtube.md.

Link Intersection

Find sites linking to [competitor 1] AND [competitor 2] but not me

SERP Feature Analysis

What SERP features do competitors win? (Featured snippets, PAA, etc.)

Historical Tracking

How has [competitor]'s SEO strategy evolved over the past year?

Save Results

Write path: memory/research/competitor-analysis/YYYY-MM-DD-<topic>.md; promote durable competitor facts and entity candidates to memory/hot-cache.md. See Skill Contract §Save Results Template.

Reference Materials

Next Best Skill

Primary: content-gap-analysis. Also: serp-analysis and offsite-signal-analyzer. If the goal is a head-to-head "us vs them" page, hand the vetted competitor set to page-play-builder.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Competitor Analysis AI skill do?

Use when the user asks to "analyze competitors" or "竞品分析"; benchmarks competitor keywords, content, backlinks, AI citations, and traffic share into strengths, weaknesses, and an action plan. Not for a pairwise topic-coverage gap map — use content-gap-analysis. 竞品分析/竞争对手

Why use Competitor Analysis on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/main/seo-geo/survey/competitor-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Competitor 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 Analysis?

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

Is the Competitor Analysis AI skill free?

Yes. It is published on GitHub by aaron-he-zhu under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇