company-current-gtm-analysis

# 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:**
   ```bash
   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:** Understand team composition, growth trajectory, and strategic priorities from hiring patterns.

1. **Check careers page:**
   - WebFetch: `<website>/careers` or `<website>/jobs`
   - If JS-rendered, WebSearch: `<company> careers open positions <current year>`
   - Also check: Glassdoor, LinkedIn Jobs, Greenhouse (`boards.greenhouse.io/<company>`), Lever (`jobs.lever.co/<company>`)

2. **Catalog open roles by department:**
   - Engineering (what kind — ML, backend, frontend, infra, data)
   - Product / Design
   - Sales / Business Development
   - Marketing / Content / Growth
   - Customer Succe