Company Current Gtm Analysis Agent Skill

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

• 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-site-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 the current working directory as current-gtm-analysis.md (or user-specified path) 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_TOKEN env var — for LinkedIn profile post scraping
• requests (Python) — for LinkedIn scraper script
• Web search and web fetch capabilities — for all other research
• Optional: review-site-scraper skill for detailed G2/Capterra extraction
• Optional: blog-feed-monitor skill for RSS-based blog analysis