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
-
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
-
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)
-
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.
-
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
- WebFetch
-
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")
-
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)
-
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
- WebSearch:
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>
-
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 -
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)
-
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.
-
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
- WebSearch:
-
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
- WebSearch:
-
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
- WebSearch:
-
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.
-
Check careers page:
- WebFetch:
<website>/careersor<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>)
- WebFetch:
-
Catalog open roles by department:
- Engineering (what kind — ML, backend, frontend, infra, data)
- Product / Design
- Sales / Business Development
- Marketing / Content / Growth
- Customer Success / Support
- Operations / Finance / People
- Recruiting (hiring recruiters = aggressive growth mode)
-
Interpret the signals:
- Heavy engineering hiring = product-led, building moat
- First sales hires = transitioning from PLG to sales-assisted
- Marketing hires = investing in brand/demand gen
- CS hires = customer base growing, retention focus
- Recruiting hires = expecting rapid overall headcount growth
- Senior/VP hires = building leadership layer, moving upmarket
-
Note key people:
- Recent senior hires (VP+) and their backgrounds
- Team size and growth trajectory
- Notable talent signals (where are they hiring from?)
2E. Social Media & Community Presence
Goal: Map their presence and activity level across every relevant channel.
-
Twitter/X:
- WebSearch:
<company> Twitter OR X.com - Find their handle, follower count, posting frequency
- What do they post? (Product updates, industry commentary, engagement with community)
- WebSearch:
-
Reddit:
- WebSearch:
"<company name>" OR "<product name>" site:reddit.com - What are people saying? Positive/negative/neutral?
- Is the company team actively engaging in threads?
- WebSearch:
-
YouTube:
- WebSearch:
<company> OR <product> YouTube channel - Do they have a channel? How many subscribers? What content?
- Are there third-party reviews/tutorials?
- WebSearch:
-
Product Hunt:
- WebSearch:
<company> OR <product> site:producthunt.com - Did they launch? When? How did it perform?
- WebSearch:
-
Slack/Discord Communities:
- WebSearch:
<company> community Slack OR Discord - Do they run their own community? Are they active in industry communities?
- WebSearch:
-
Overall assessment: Rate each channel as Active / Present but Inactive / Absent
2F. Customer Acquisition & Reviews
Goal: Understand how they get customers and what customers think.
- Review sites:
- WebSearch:
<company> OR <product> review G2 Capterra <current year> - We
- WebSearch: