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Competitor Site Analysis

Community
superamped
competitor-site-analysis

Use this skill to inspect a competitor website and extract structured evidence about the company, positioning, pricing, social proof, and hiring signals. Trigger it when creating a current competitor profile from public pages before comparative analysis.

Overview

Publishersuperamped
Repositoryai-marketing-skills
Skill namecompetitor-site-analysis
Stars
73
Forks
6
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 superamped on GitHub. Read the source before you install it.

Installation

Install the Competitor Site 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/superamped/ai-marketing-skills/tree/main/skills/research/competitor-site-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/superamped/ai-marketing-skills.git /tmp/ai-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/ai-marketing-skills/skills/research/competitor-site-analysis .claude/skills/competitor-site-analysis
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Competitor Site 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 Site 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 Site 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 Site Analysis

Usage

Use for a quick website data pull on a competitor, or as a first step before deeper analysis. Produces a structured 5-section profile from publicly available website information.

Process

Step 1: Gather Inputs

Ask the user for:

  1. Competitor name — the company to analyze
  2. Competitor URL — their homepage URL
  3. Specific sections to focus on (optional) — default: all 5

Step 2: Validate & Fetch

Confirm you have competitor name and URL. Fetch the homepage to verify it's reachable.

If the site is unreachable, behind a login wall, or returns errors — tell the user and stop.

Step 3: Fetch Website Pages

Fetch up to 6 pages. Adapt URLs based on what the site actually has — not every site uses the same paths.

PageTypical URLs to TryWhat to Extract
Homepage/Tagline, headline, value prop, target audience signals, trust badges, social proof
Pricing/pricing, /plansModel, tiers, price points, value metric, free tier, annual discount, trial, feature-by-tier gating
Features/features, /productKey features, integrations, platform capabilities
About/about, /about-us, /companyFounded, team size signals, stage/funding signals, mission
Customers/customers, /case-studiesCustomer logos, testimonials, case study count, industries served
Careers/careers, /jobs, /about/careersOpen roles by department, total headcount signals, strategic hiring patterns

If a page doesn't exist (404, redirect to homepage), skip it and note "not found" for that section. Don't guess.

Step 4: Structure Findings

Organize extracted data into 5 sections:

Section 1: Company Overview
  • Tagline (their words, not yours)
  • Founded / age signals
  • Stage / funding signals (bootstrapped, seed, Series X — based on about page, team size, office count)
  • Team size signals (exact if stated, otherwise estimate from about page)
  • Headquarters / markets
  • Primary GTM motion: PLG / sales-led / content-led / community-led (based on homepage CTA — "Start free" vs. "Book a demo" vs. both)
  • Partnerships / integrations as distribution (from features page or homepage)
Section 2: Product & Positioning
  • Homepage headline (exact quote)
  • Value proposition (what they promise in 1-2 sentences)
  • Target audience (who the site speaks to)
  • Key features (top 5-8 from features page)
  • Integrations (notable ones)
  • Product-led vs. sales-led signals (self-serve signup? demo request? both?)
  • Free trial / freemium availability
Section 3: Pricing & Feature Monetization
  • Pricing model (per-seat, usage-based, flat, freemium, custom)
  • Tier breakdown with price points
  • Value metric (what they charge per unit of)
  • Annual discount percentage
  • Free tier — what's included, what's limited
  • Enterprise tier — custom pricing or listed?

Feature monetization — if the pricing page shows feature-by-tier breakdowns:

  • Which features are free vs. gated?
  • What's the key unlock at each paid tier? (the feature that justifies the upgrade)
  • What do they gate behind enterprise? (reveals what they consider highest-value)
  • Any usage limits that force upgrades? (seats, API calls, storage, etc.)

If pricing is not public, note "not public — sales-led motion" and any signals about pricing level.

Section 4: Social Proof & Trust
  • Customer logos (notable names)
  • Testimonial highlights (1-2 strongest quotes)
  • Case study count and themes
  • Trust signals (G2 badges, security certs, compliance badges)
  • Community size (if visible — Slack, Discord, forum)
  • Social media follower counts (if visible on site)
Section 5: Hiring Signals
  • Total open roles (if listed)
  • Roles by department — engineering, sales, marketing, product, customer success, etc.
  • Notable hires or role types that signal strategic direction (e.g., "ML Engineer" = investing in AI, "Enterprise AE" = moving upmarket, "Developer Advocate" = building community)
  • Hiring velocity signals — "urgently hiring", multiple roles in one department

If no careers page exists, note "no public careers page" and move on.

Output Format

Present the 5-section structured website profile:

# Competitor Site Analysis: [Name]

**URL:** [url]
**Date:** [current date]

## 1. Company Overview
[structured findings]

## 2. Product & Positioning
[structured findings]

## 3. Pricing & Feature Monetization
[structured findings]

## 4. Social Proof & Trust
[structured findings]

## 5. Hiring Signals
[structured findings]

Rules

  • Never invent data — if a page is inaccessible or info isn't visible, mark "not found."
  • Never fetch more than 6 pages per competitor.
  • Never guess at pricing — if it's not public, say so.
  • Don't add strategic interpretation — this skill extracts, it doesn't analyze. Save strategic assessment for competitor-landscape.
  • Keep extraction factual. Quote headlines, list features, note prices. Don't editorialize.
  • If key pages (pricing, features) are missing or inaccessible, flag that the profile will have gaps.
  • If the site is heavily JS-rendered and content is sparse, suggest using Playwright MCP if available.

Frequently asked questions

What does the Competitor Site Analysis AI skill do?

Use this skill to inspect a competitor website and extract structured evidence about the company, positioning, pricing, social proof, and hiring signals. Trigger it when creating a current competitor profile from public pages before comparative analysis.

Why use Competitor Site Analysis on TypingMind?

Because you install it once and use it with any model. Competitor Site 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 Site 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-site-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Competitor Site 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 Site Analysis?

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

Is the Competitor Site 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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