| 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
-
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>
---
---
---
| Platform | Activity Level | Assessment |
|----------|---------------|------------|
| LinkedIn | | |
| Twitter/X | | |
| Reddit | | |
| YouTube | | |
| Product Hunt | | |
| Slack/Discord | | |
---
---
---
| Channel | Status | Effectiveness |
|---------|--------|--------------|
| ... | ... | ... |
| Channel | Opportunity Size | Effort |
|---------|-----------------|--------|
| ... | ... | ... |
---
| Competitor | Comparison Exists? | Notes |
|-----------|-------------------|-------|
| ... | Yes/No | ... |
---
...
...
...
---
| 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_TOKEN env var — for LinkedIn profile post scrapingrequests (Python) — for LinkedIn scraper script- Web search and web fetch capabilities — for all other research
- Optional:
review-scraper skill for detailed G2/Capterra extraction
- Optional:
blog-scraper skill for RSS-based blog analysis
