← Back to Skills Marketplace
kostja94

competitor-research

by Kostja Zhang · GitHub ↗ · v1.2.1 · MIT-0
cross-platform ✓ Security Clean
153
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install competitor-research-seo
Description
When the user wants to analyze competitors for SEO, content, backlinks, or positioning. Also use when the user mentions "competitor analysis," "competitor re...
README (SKILL.md)

SEO Content: Competitor Research

Guides competitor research for SEO, content, backlinks, and positioning. Use when planning content, auditing articles, building links, or evaluating market position.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Research Types

Type Purpose Output
Keyword/topic Topics competitors rank for; gaps Keyword opportunities; content ideas
Content Structure, length, gaps vs top rankers Length target; H2 structure; content gaps
Backlink Link profile; sites linking to competitors Link gap; outreach targets
Pricing Competitor pricing, positioning Pricing context; differentiation
SEO metrics Organic traffic, rankings vs competitors Benchmark; opportunity areas

Competitor Keyword / Topic Analysis

Method Practice
Reverse engineering Analyze competitor titles, H1, URL; identify topics they rank for
SERP overlap Keywords with overlapping top-ranking pages → same cluster; #4–10 = opportunity
site: operator site:competitor.com to see indexed pages
Tool Ahrefs, Semrush—competitor keyword overlap, gap analysis

Output: Keyword opportunities; topics competitors cover that you don't.

Competitor Content Analysis

Element Check
Word count Top 10 average; length target for your content
H2 structure Topics covered; structure to adopt
Content gaps What top rankers cover that you miss
Keyword placement Primary keyword in title, H1, first 100 words
Format Lists, tables, FAQ; match or improve

Use when: Auditing or creating articles; see article-page-generator for Research Phase integration.

Competitor Article Fetch Workflow (for Article Analysis)

When analyzing or auditing a single article, use this lightweight workflow to obtain competitor articles:

  1. Obtain URLs: From user, project-context Section 11, or web search for "[target keyword]" to find top-ranking pages
  2. Fetch content: Use mcp_web_fetch or WebSearch to fetch 2–3 top-ranking pages
  3. Analyze: Word count, H2 structure, keyword placement, content gaps, CTA, schema
  4. Output: Competitor URLs, brief structure comparison, content gaps, length target, keyword opportunities

Output format: Competitor URLs; word count and H2 structure per URL; content gaps vs your article; recommended length target; keyword opportunities (terms top rankers use that your article misses).

Competitor Backlink Analysis

Action Purpose
Compare profiles Your backlinks vs competitors
Link gap Sites linking to competitors but not you
Opportunity Outreach to those sites; content they might link to

Tools: Ahrefs, Semrush—Link Intersect, competitor backlink reports. See backlink-analysis.

Competitor Pricing

Use Practice
Positioning Where you sit vs competitors
Differentiation Value prop when price differs
Alternatives pages Who to include; how to position

See pricing-strategy, alternatives-page-generator.

Data Sources

Source Use
SimilarWeb Traffic, engagement, traffic sources by domain
Ahrefs Competitor domains, backlinks, DR
SEMrush Organic competitors, traffic share
GA Referral traffic, acquisition by source
PostHog Competitor feature usage (if tracked)

Report Workflow

  1. Parse — Read Excel/CSV, infer domain, visits, traffic sources, etc. from headers
  2. Enrich — Web search, visit competitor sites; read project-context.md if present
  3. Build — Structure data for report
  4. Generate — Output report in chosen format

Output Format

  • Competitors identified
  • Research type (keyword, content, backlink, pricing)
  • Findings (gaps, opportunities, benchmarks)
  • Recommendations (content to create, links to pursue, positioning)

Report Structure Reference

Section Content
Executive Summary Key findings (top 3), top 3 recommendations
Competitor Overview Competitor, category, market position, key strength
Product Comparison Feature/capability vs Us vs Competitors
SWOT Analysis Our strengths/weaknesses/opportunities/threats; competitor deep dives
Marketing & Messaging Value prop, target audience, key channels
Gaps & Opportunities Gap, opportunity, priority
Prioritized Recommendations Recommendation, impact, effort, owner

Related Skills

  • keyword-research: Competitor reverse; keyword discovery
  • article-page-generator: Competitor article analysis in Research Phase
  • content-strategy: Competitor analysis for topic mapping
  • content-optimization: Competitor length and structure as reference
  • backlink-analysis: Competitor backlink comparison; link gap
  • seo-monitoring: Competitive comparison; organic vs competitors
  • alternatives-page-generator: Competitor selection; comparison framing
  • migration-page-generator: Competitor migration paths
  • pricing-strategy: Competitor pricing context
  • affiliate-marketing: Find affiliates promoting competitors
  • directories: Competitor info for directory submissions
Usage Guidance
This skill appears to be what it says: an instruction-only competitor-research guide for SEO. Before enabling or using it, consider: (1) It will instruct the agent to read uploaded files and any project-context.md present — avoid placing secrets or unrelated sensitive data in those files. (2) If you want the agent to call Ahrefs/SEMrush/GA/PostHog APIs, you'll need to provide API keys to the agent environment or connectors — the skill does not declare or manage those credentials. (3) The skill recommends using other tools/skills (e.g., mcp_web_fetch); review those skills' permissions and behavior before allowing autonomous runs. If you are comfortable with the agent accessing project files and (optionally) third-party SEO accounts, the skill is coherent and reasonable to use.
Capability Analysis
Type: OpenClaw Skill Name: competitor-research-seo Version: 1.2.1 The skill bundle contains standard SEO competitor research instructions and workflows. It guides the agent to use web search tools (mcp_web_fetch) and SEO platforms (Ahrefs, Semrush) to analyze keywords, content structure, and backlinks, with no evidence of malicious intent, data exfiltration, or unauthorized execution in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name/description (competitor research for SEO, content, backlinks, positioning) align with the SKILL.md content. The documented workflows (keyword, content, backlink, pricing analysis), outputs, and recommended tools (Ahrefs, SEMrush, SimilarWeb) are appropriate and expected for this purpose.
Instruction Scope
Runtime instructions instruct the agent to parse local uploads (Excel/CSV, project-context.md) and to fetch competitor pages via other tools (mcp_web_fetch or WebSearch). Reading local project/context files and uploaded CSVs is coherent for building reports, but that capability means the agent will access potentially sensitive project files — the skill does not attempt to limit or qualify what it should/shouldn't read.
Install Mechanism
This is an instruction-only skill with no install spec and no code files. That minimizes on-disk execution risk; nothing is downloaded or installed by the skill itself.
Credentials
The SKILL.md references external services (Ahrefs, Semrush, SimilarWeb, GA, PostHog) that commonly require API keys or account access. The skill declares no required environment variables or credentials. This is reasonable for an instruction-only guide (it can suggest using those tools), but if the agent is configured to call those APIs autonomously, credentials would be needed and are not declared here — a minor mismatch to be aware of.
Persistence & Privilege
The skill does not request permanent presence (always:false) and makes no system-level configuration changes. It is user-invocable and allowed to be invoked autonomously per platform defaults; no extra privileges are requested.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install competitor-research-seo
  3. After installation, invoke the skill by name or use /competitor-research-seo
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.1
Automated batch sync
v1.2.0
Automated batch sync
Metadata
Slug competitor-research-seo
Version 1.2.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is competitor-research?

When the user wants to analyze competitors for SEO, content, backlinks, or positioning. Also use when the user mentions "competitor analysis," "competitor re... It is an AI Agent Skill for Claude Code / OpenClaw, with 153 downloads so far.

How do I install competitor-research?

Run "/install competitor-research-seo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is competitor-research free?

Yes, competitor-research is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does competitor-research support?

competitor-research is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created competitor-research?

It is built and maintained by Kostja Zhang (@kostja94); the current version is v1.2.1.

💬 Comments