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:
clients/<client>/research/
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
- 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
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
- 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
- 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
- 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>/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>)
- 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)
- 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?
- YouTube:
- WebSearch: <company> OR <product> YouTube channel - Do they have a channel? How many subscribers? What content? - Are there third-party reviews/tutorials?
- Product Hunt:
- WebSearch: <company> OR <product> site:producthunt.com - Did they launch? When? How did it perform?
- Slack/Discord Communities:
- WebSearch: <company> community Slack OR Discord - Do they run their own community? Are they active in industry communities?
- 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> - WebFetch G2/Capterra pages if URLs are findable - Note: rating, review count, common praise, common complaints - Optional: use review-scraper skill for detailed extraction
- Customer logos and case studies:
- WebFetch: <website>/customers or <website>/case-studies - WebSearch: <company> case study OR testimonial OR customer story - Note which customer segments they showcase
- Partnerships and integrations:
- WebFetch: <website>/integrations or <website>/partners - WebSearch: <company> partner program OR integration marketplace - Note: ATS/CRM integrations, reseller programs, co-marketing partnerships
- Referral/affiliate programs:
- WebSearch: <company> referral program OR affiliate program - Check website footer/navigation for referral links
- Paid advertising signals:
- Check for Facebook Pixel, Google Ads tags on their site - Search their brand + category terms and note if ads appear
2G. Podcast & Speaking Appearances
Goal: Understand their earned media and thought leadership distribution.
- Search for podcast appearances:
- WebSearch: "<founder name>" podcast interview <company> - WebSearch: <company> OR <product> podcast - Catalog: podcast name, host, topic, date
- Search for conference appearances:
- WebSearch: "<founder name>" speaker conference <current year> - WebSearch: <company> conference talk OR keynote OR panel
- Search for press coverage:
- WebSearch: <company> TechCrunch OR Forbes OR Bloomberg OR news - Note: Is coverage only around funding rounds, or sustained?
- Analyst coverage:
- WebSearch: <company> Gartner OR Forrester OR "Josh Bersin" OR analyst - Are they in any industry analyst reports or evaluations?
Phase 3: Synthesize & Score
After all data collection completes, synthesize into a structured analysis.
3A. Channel-by-Channel Scorecard
Rate each GTM dimension:
| Dimension | Grade (A-F) | Evidence |
|---|---|---|
| Product-Led Growth | Self-serve, freemium, pricing | |
| SEO / Content Marketing | Traffic, keyword strategy, content depth | |
| Social Proof / Case Studies | Customer logos, testimonials, case studies | |
| Review Site Presence | G2/Capterra rating, review count | |
| Founder Thought Leadership | LinkedIn activity, podcast appearances | |
| Paid Advertising | Google Ads, social ads signals | |
| Conference / Events | Speaking, sponsoring, attending | |
| Analyst Coverage | Gartner, Forrester, industry analysts | |
| Referral Program | Formal referral/affiliate mechanism | |
| Partner / Reseller Programs | Co-marketing, reseller, marketplace presence | |
| Community Engagement | Reddit, Slack, Discord, forums | |
| Video / YouTube | Official channel, tutorials, demos | |
| Enterprise Sales Motion | Sales team, enterprise pricing, procurement docs | |
| Compliance / Trust | Trust center, SOC 2, compliance content | |
| International Presence | Localized content, non-US marketing |
3B. Identify White Space
For each dimension graded C or below, document:
- What specifically is missing
- Why it matters for their stage/market
- How large the opportunity is (High/Medium/Low impact)
- How hard it would be to address (Low/Medium/High effort)
3C. Competitive Positioning Map
Document:
- How they position themselves (tagline, value props, key differentiators)
- Which competitors they actively compare against
- Which competitors they DON'T compare against (gaps)
- Their pricing strategy relative to alternatives
Phase 4: Generate Output
Save the report to clients/<client>/research/current-gtm-analysis.md using this structure:
# <Company Name> — Comprehensive GTM & Market Presence Analysis
**Date:** <YYYY-MM-DD>
**Purpose:** Understand what <Company> is currently doing across all GTM dimensions
to identify white space for new strategies.
**Sources:** <list sources used>
---
## Executive Summary
<3-5 sentence overview. What is the company's primary GTM motion? What are they
doing well? What are the biggest gaps? What is the single most important finding?>
---
## 1. Blog & Content Strategy
### What They Publish
<Content catalog — types, topics, frequency, authors>
### Content Strategy Assessment
**Strengths:** <what's working>
**Weaknesses / White Space:** <what's missing>
---
## 2. Founder LinkedIn Activity
### <Founder Name> (Title)
**Posting frequency:** <X posts/month>
**Top post:** <title, engagement, date>
**Assessment:** <thought leadership posture>
---
## 3. SEO & Web Traffic
### Traffic Data
<Monthly visits, traffic sources, key metrics>
### SEO Strategy Assessment
<What they're doing, what's missing, programmatic SEO assessment>
---
## 4. Hiring & Team Signals
### Current State
<Team size, open roles by department>
### Key Hires
<Recent notable hires and what they signal>
### Strategic Implications
<What the hiring pattern tells us about their priorities>
---
## 5. Social Media & Community Presence
| Platform | Activity Level | Assessment |
|----------|---------------|------------|
| LinkedIn | | |
| Twitter/X | | |
| Reddit | | |
| YouTube | | |
| Product Hunt | | |
| Slack/Discord | | |
---
## 6. Podcast & Speaking Appearances
<Table of podcast appearances, conference talks, press coverage>
### Assessment
<Coverage level, which audiences they reach, gaps>
---
## 7. Review Sites & Customer Sentiment
### G2 / Capterra / TrustRadius
<Ratings, review counts, key themes>
### Sentiment Summary
**Strengths users report:** <list>
**Weaknesses users report:** <list>
---
## 8. Customer Acquisition Channels
### Currently Using
| Channel | Status | Effectiveness |
|---------|--------|--------------|
| ... | ... | ... |
### Completely Untapped
| Channel | Opportunity Size | Effort |
|---------|-----------------|--------|
| ... | ... | ... |
---
## 9. Competitive Positioning
### How They Position
<Tagline, key differentiators, pricing strategy>
### Comparison Pages
| Competitor | Comparison Exists? | Notes |
|-----------|-------------------|-------|
| ... | Yes/No | ... |
---
## 10. White Space Summary
### Critical White Space (High Impact, Act Now)
1. <Gap description, why it matters, opportunity size>
2. ...
### Significant White Space (Medium Impact, Plan For)
1. ...
### Emerging White Space (Time-Sensitive)
1. ...
---
## GTM Scorecard
| Dimension | Grade | Biggest Opportunity |
|-----------|-------|---------------------|
| Product-Led Growth | | |
| SEO / Content | | |
| Social Proof / Case Studies | | |
| Pricing Strategy | | |
| Review Sites | | |
| Founder Thought Leadership | | |
| Paid Advertising | | |
| Conference Presence | | |
| Analyst Relations | | |
| Partner Programs | | |
| Community Engagement | | |
| Video / YouTube | | |
| Enterprise Sales | | |
| Compliance Marketing | | |
| International | | |Tips
- Parallelize aggressively. Phases 2A through 2G are all independent — run them simultaneously to minimize total research time. Use background agents or parallel tool calls wherever possible.
- JS-rendered sites are common. If WebFetch returns mostly CSS/JS without content, fall back to WebSearch with
site:<domain>queries to discover pages. - Don't guess — flag unknowns. If you can't verify something (e.g., exact G2 rating), say "[NEEDS VERIFICATION]" rather than inventing data.
- Grade relative to stage. A 10-person seed startup doesn't need analyst coverage. A $30M Series A company does. Adjust your grading to what's appropriate for their stage.
- White space ≠ weakness. Not every gap needs to be filled. The most valuable insight is which gaps represent the highest-leverage opportunities given the company's stage, resources, and market.
- Founder LinkedIn is usually the #1 finding. Almost every company underinvests in founder thought leadership. If the founder has a compelling story and isn't posting regularly, this is almost always the highest-ROI recommendation.
- Check existing client workspace first. If
clients/<client>/already has research, intelligence reports, or strategy docs, read them before re-researching. Build on existing knowledge.
Dependencies
APIFY_API_TOKENenv var — for LinkedIn profile post scrapingrequests(Python) — for LinkedIn scraper script- Web search and web fetch capabilities — for all other research
- Optional:
review-scraperskill for detailed G2/Capterra extraction - Optional:
blog-scraperskill for RSS-based blog analysis