/company-current-gtm-analysis

name: company-current-gtm-analysis
description: >
  Comprehensive GTM analysis of any target company. Researches what a company is
  currently doing across all go-to-market dimensions — content/blog, founder LinkedIn
  activity, SEO/traffic, hiring signals, social/community presence, customer acquisition
  channels, podcast appearances, review sites, competitive positioning, and partnerships.
  Produces a structured report identifying what's working, what's missing, and where
  white space exists for new strategies. Use before designing GTM strategies for a client
  or prospect.

Company Current GTM Analysis

Deep-research agent skill that produces a comprehensive analysis of what a target company is currently doing across all go-to-market dimensions. The output identifies what's working, what's missing, and where white space exists — so you can design strategies that fill genuine gaps rather than duplicating what they already do.

Quick Start

Run a GTM analysis for <company>. Website: <url>. Founder LinkedIn profiles: <urls>.

Or if a client context file already exists:

Run a GTM analysis for <client>. Use the context at clients/<client>/context.md.

Inputs

| Input | Required | Source | |-------|----------|--------| | **Company name** | Yes | User provides or read from `clients/<client>/context.md` | | **Company website** | Yes | User provides or read from context | | **Founder/exec LinkedIn URLs** | Recommended | User provides, or search web for "[founder name] LinkedIn" | | **Known competitors** | Optional | Improves competitive positioning section | | **Client context file** | Optional | `clients/<client>/context.md` — if exists, use for ICP, positioning, etc. |

---

Step-by-Step Process

Phase 1: Load Context

1. If a client context file exists at `clients/<client>/context.md`, read it for:

• Company overview, founders, product, pricing
• Known competitors, customers, market positioning
• Any existing research or intelligence

2. If no context file exists, gather basics from the user:

• Company name, website URL
• Founder names and LinkedIn URLs (if known)
• Industry/category
• Known competitors (if any)

3. Create the output directory in the current working directory (or user-specified path).

Phase 2: Data Collection (Run in Parallel)

Run as many of these research threads as possible in parallel. Each thread is independent.

2A. Blog & Content Strategy

**Goal:** Understand their content strategy — topics, frequency, types, target audience, gaps.

1. **Fetch the blog page:**

• WebFetch `<website>/blog` — extract all visible post titles, dates, categories, authors
• If no `/blog`, try `/resources`, `/insights`, `/news`, `/articles`
• Note: Many sites are JS-rendered. If WebFetch returns empty content, fall back to WebSearch: `site:<website> blog`

2. **Catalog content types:**

• Product updates / changelogs
• Comparison / "vs" / "alternative" pages
• How-to guides / tutorials
• Case studies / customer stories
• Thought leadership / opinions
• Industry reports / data
• SEO-optimized list posts ("Best X tools for Y")

3. **Assess content strategy:**

• Publishing frequency (daily/weekly/monthly/sporadic)
• Author diversity (one person vs. team vs. guest contributors)
• Content depth (shallow SEO vs. deep expertise)
• Funnel coverage (top/mid/bottom)
• Downloadable assets (ebooks, whitepapers, calculators)
• Video content (embedded, YouTube channel)

4. **Check for comparison/vs pages:**

• WebSearch: `site:<website> vs OR alternative OR compare`
• Catalog which competitors they compare against
• Note which competitors are MISSING from their comparison content

2B. Founder/Exec LinkedIn Activity

**Goal:** Understand founder thought leadership presence, posting frequency, engagement, topics.

**Requires:** Founder LinkedIn profile URLs. If not provided, search: `"<founder name>" LinkedIn <company>`

1. **Scrape recent posts:**

   python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \
     --profiles "<comma-separated LinkedIn URLs>" \
     --max-posts 20 --days 90 --output json

2. **Analyze the posts:**

• Posting frequency (daily/weekly/monthly/rarely)
• Content type breakdown: original posts vs. reposts vs. articles
• Topics covered (product, industry, personal, hiring, culture)
• Average engagement (likes, comments, shares)
• Top-performing posts and why they worked
• Whether they engage in comments (reply to commenters)

3. **Assess thought leadership posture:**

• Are founders positioned as industry voices or just company operators?
• Is there a personal brand beyond the company?
• Are they engaging with industry influencers?

2C. SEO & Web Traffic

**Goal:** Estimate traffic, identify traffic sources, assess SEO investment level.

1. **Get traffic data:**

• WebSearch: `<website> traffic site visitors similarweb`
• WebFetch: `https://www.similarweb.com/website/<domain>/` (may or may not return data)
• Look for: monthly visits, bounce rate, pages/visit, traffic sources, top countries

2. **Assess keyword strategy:**

• WebSearch: `site:<website>` to see indexed pages
• Check for programmatic SEO (template pages like "find [role] in [city]")
• Check for competitor keyword targeting ("alternative to X", "X vs Y")
• Identify keywords they likely rank for based on blog content

3. **Check for paid advertising:**

• WebSearch: `<company name>` and `<category> tool` — note if ads appear
• Look for Google Ads, LinkedIn Ads, or Facebook Pixel on their site

4. **Assess SEO maturity:**

• Content volume (how many blog posts / pages)
• Keyword sophistication (broad terms vs. long-tail vs. competitor terms)
• Programmatic SEO presence
• Backlink signals (guest posts, press mentions, directory listings)

2D. Hiring & Team Signals

**Goal:** Underst