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Seo Competitor

OrganizationPopular
rampstackco
seo-competitor

Run a competitive SEO analysis comparing the user's site to chosen competitors across SERP overlap, content depth, backlink profiles, technical posture, and brand presence. Use this skill whenever the user wants to analyze competitors, find content gaps, identify backlink opportunities, understand why competitors outrank them, or benchmark against the rest of their category. Triggers on competitor analysis, competitive analysis, SERP analysis, content gap, backlink gap, why is X ranking, who is winning the SERP, beat my competitor, benchmark, market positioning. Also triggers when planning a content strategy and the question 'what are competitors doing' is implicit.

Overview

Publisherrampstackco
Repositoryclaude-skills
Skill nameseo-competitor
Stars
1K
Forks
134
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Seo Competitor 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/rampstackco/claude-skills/tree/main/skills/seo-competitor
  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/rampstackco/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/seo-competitor .claude/skills/seo-competitor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Competitor 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 Seo Competitor 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 Seo Competitor 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.

SEO Competitor Analysis

Compare a site to its competitors and find the gaps worth closing. Stack-agnostic. Tool-friendly but tool-optional.


When to use

  • Identifying which competitors to study
  • Finding content gaps (topics they cover, you do not)
  • Finding backlink gaps (sites linking to them, not you)
  • Understanding why a specific competitor outranks the user
  • Benchmarking authority, technical posture, and content depth

When NOT to use

  • Single-page optimization (use seo-onpage)
  • Initial keyword research with no competitors yet identified (use seo-keyword first to find them)
  • Auditing one's own existing content (use seo-content-audit)

Required inputs

  • The user's site
  • 3 to 5 named competitors (or the topic area, if competitors are not yet identified)
  • Access to a keyword tool, a backlink tool, and any crawler

If competitors are unknown, start by listing the top 10 ranking domains for the user's top 10 priority keywords. Pick the 3 to 5 that appear most often.

Where competitor traffic estimation is the input you need (relative scale, channel mix, audience overlap), Similarweb MCP is the strongest source. Pair with Ahrefs (for backlink and keyword overlap) and Semrush (for SERP feature presence and SEO-PR overlap). Each platform gives a different cut of the same competitive landscape; using them together produces sharper signal than any one alone.


The framework: 5 angles

Competitor analysis covers five angles. Run all five for a full picture, or pick two or three for a focused investigation.

1. SERP overlap

Where do you and the competitor compete head-to-head?

  • For each priority keyword, who ranks in the top 10?
  • For each top-10 ranking, what page type wins (article, product, comparison, video)?
  • Are there SERP features (featured snippet, AI overview, video, image pack) one party holds and the other does not?
  • Which queries do competitors rank for that the user does not? (the content gap)

2. Content depth

What does their winning content look like?

  • Word count and structure of their top-ranking pages
  • Information types they include (data tables, original research, video, calculators, downloadable assets)
  • Update frequency on key pages (last modified date, change history)
  • Internal linking patterns (do their winning pages link to commercial pages?)
  • Topical breadth (how many related topics do they cover?)

3. Backlink profile

Where does their authority come from?

  • Total referring domains
  • Domain rating (or equivalent authority metric)
  • Top 50 referring pages by traffic value
  • Backlink types (editorial, directory, partner, paid, spam)
  • Link velocity (gaining or losing referring domains over time)
  • Pages on their site attracting the most links (these are their "linkable assets")

4. Technical posture

How clean is their technical foundation?

  • Core Web Vitals (LCP, INP, CLS)
  • Mobile usability
  • Schema implementation (which types, on which page types)
  • Site architecture and internal linking density
  • Crawl efficiency (are they wasting crawl budget?)
  • HTTPS, security headers
  • llms.txt and AI search readiness

5. Brand and entity strength

How well-known are they outside organic search?

  • Branded search volume (how many people search their name?)
  • Entity recognition in knowledge graph (do they have a Wikipedia page, knowledge panel, structured data feeding entity status?)
  • Mention frequency in their topic area (PR coverage, podcast appearances, citations)
  • Social signals (followers, engagement, share rates)
  • Reviews and reputation

Workflow

  1. Confirm the competitors. Either named, or derive from SERP overlap on top 10 priority keywords.
  2. Pick the angles. Run all 5 for a full audit, or 2 to 3 for a focused dive.
  3. Pull the data. Keyword tool exports, backlink tool exports, manual SERP inspection, technical crawl.
  4. Score each angle. Where does the user lead? Where do they trail?
  5. Identify gaps. Specific content gaps, specific backlink gaps, specific technical gaps.
  6. Prioritize. Which gaps are highest leverage to close? (Big traffic potential, achievable effort, strategic fit.)
  7. Write the report. Use the template in references/competitive-audit-template.md.

Failure patterns

  • Picking the wrong competitors. A site that outranks you on one keyword but operates a different business is not a competitor. Pick by SERP overlap and audience overlap, not by who you think you compete with.
  • Treating "more content" as the takeaway. They are not winning because they have 500 articles. They are winning because of specific content + links + UX. Find the actual lever.
  • Copying their pages verbatim. Diminishing returns. Beat them by being more useful, not by paraphrasing them.
  • Ignoring brand strength. A weaker site with a stronger brand wins on branded queries you cannot touch with content alone.
  • Static analysis. Re-run the analysis at least annually. Competitor strategies shift.

Output format

Default output is a markdown report at competitive-analysis.md plus accompanying spreadsheets for the keyword and backlink data.

Structure:

  1. Executive summary (3 to 5 critical findings)
  2. Competitor profiles (one per competitor, brief)
  3. SERP overlap analysis
  4. Content gap analysis
  5. Backlink gap analysis
  6. Technical comparison
  7. Brand and entity comparison
  8. Prioritized gap-closing roadmap

If required data is unavailable

This skill's output depends on data, measurements, or tool results it cannot generate on its own. When a required input, tool, or data source is unavailable or unverifiable, the sanctioned output is the deliverable with the gap stated: what was needed, what was actually obtained or verified, and which parts of the output are affected. Fabricating, estimating, or interpolating a required number to complete the deliverable is never sanctioned. A stated gap is a complete answer.


Reference files

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 Seo Competitor AI skill do?

Run a competitive SEO analysis comparing the user's site to chosen competitors across SERP overlap, content depth, backlink profiles, technical posture, and brand presence. Use this skill whenever the user wants to analyze competitors, find content gaps, identify backlink opportunities, understand why competitors outrank them, or benchmark against the rest of their category. Triggers on competitor analysis, competitive analysis, SERP analysis, content gap, backlink gap, why is X ranking, who is winning the SERP, beat my competitor, benchmark, market positioning. Also triggers when planning...

Why use Seo Competitor on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rampstackco/claude-skills/tree/main/skills/seo-competitor. 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 Seo Competitor?

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 Seo Competitor?

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

Is the Seo Competitor AI skill free?

Yes. It is published on GitHub by rampstackco 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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