skills/superamped/ai-marketing-skills/competitor-site-analysis

competitor-site-analysis

SKILL.md

Competitor Site Analysis

Visit a competitor's website and extract structured data across 5 dimensions: company overview, product & positioning, pricing & feature monetization, social proof & trust, and hiring signals. Pure website extraction — no synthesis, no strategic assessment.

This skill focuses on business data. Content strategy (blog, social, email, gated content) is handled by competitor-content-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.

Page Typical URLs to Try What to Extract
Homepage / Tagline, headline, value prop, target audience signals, trust badges, social proof
Pricing /pricing, /plans Model, tiers, price points, value metric, free tier, annual discount, trial, feature-by-tier gating
Features /features, /product Key features, integrations, platform capabilities
About /about, /about-us, /company Founded, team size signals, stage/funding signals, mission
Customers /customers, /case-studies Customer logos, testimonials, case study count, industries served
Careers /careers, /jobs, /about/careers Open 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.
Weekly Installs
3
GitHub Stars
11
First Seen
12 days ago
Installed on
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