--- 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 . Website: . Founder LinkedIn profiles: . ``` Or if a client context file already exists: ``` Run a GTM analysis for . Use the context at clients//context.md. ``` ## Inputs | Input | Required | Source | |-------|----------|--------| | **Company name** | Yes | User provides or read from `clients//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//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//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 `/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: 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: 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: `"" LinkedIn ` 1. **Scrape recent posts:** ```bash python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \ --profiles "" \ --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: ` traffic site visitors similarweb` - WebFetch: `https://www.similarweb.com/website//` (may or may not return data) - Look for: monthly visits, bounce rate, pages/visit, traffic sources, top countries 2. **Assess keyword strategy:** - WebSearch: `site:` 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: `` and ` 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: `/careers` or `/jobs` - If JS-rendered, WebSearch: ` careers open positions ` - Also check: Glassdoor, LinkedIn Jobs, Greenhouse (`boards.greenhouse.io/`), Lever (`jobs.lever.co/`) 2. **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) 3. **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 4. **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. 1. **Twitter/X:** - WebSearch: ` Twitter OR X.com` - Find their handle, follower count, posting frequency - What do they post? (Product updates, industry commentary, engagement with community) 2. **Reddit:** - WebSearch: `"" OR "" site:reddit.com` - What are people saying? Positive/negative/neutral? - Is the company team actively engaging in threads? 3. **YouTube:** - WebSearch: ` OR YouTube channel` - Do they have a channel? How many subscribers? What content? - Are there third-party reviews/tutorials? 4. **Product Hunt:** - WebSearch: ` OR site:producthunt.com` - Did they launch? When? How did it perform? 5. **Slack/Discord Communities:** - WebSearch: ` community Slack OR Discord` - Do they run their own community? Are they active in industry communities? 6. **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. 1. **Review sites:** - WebSearch: ` OR review G2 Capterra ` - 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 2. **Customer logos and case studies:** - WebFetch: `/customers` or `/case-studies` - WebSearch: ` case study OR testimonial OR customer story` - Note which customer segments they showcase 3. **Partnerships and integrations:** - WebFetch: `/integrations` or `/partners` - WebSearch: ` partner program OR integration marketplace` - Note: ATS/CRM integrations, reseller programs, co-marketing partnerships 4. **Referral/affiliate programs:** - WebSearch: ` referral program OR affiliate program` - Check website footer/navigation for referral links 5. **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. 1. **Search for podcast appearances:** - WebSearch: `"" podcast interview ` - WebSearch: ` OR podcast` - Catalog: podcast name, host, topic, date 2. **Search for conference appearances:** - WebSearch: `"" speaker conference ` - WebSearch: ` conference talk OR keynote OR panel` 3. **Search for press coverage:** - WebSearch: ` TechCrunch OR Forbes OR Bloomberg OR news` - Note: Is coverage only around funding rounds, or sustained? 4. **Analyst coverage:** - WebSearch: ` 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: --- ```markdown # — Comprehensive GTM & Market Presence Analysis **Date:** **Purpose:** Understand what is currently doing across all GTM dimensions to identify white space for new strategies. **Sources:** --- ## 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 Strategy Assessment **Strengths:** **Weaknesses / White Space:** --- ## 2. Founder LinkedIn Activity ### (Title) **Posting frequency:** **Top post:** **Assessment:** --- ## 3. SEO & Web Traffic ### Traffic Data ### SEO Strategy Assessment --- ## 4. Hiring & Team Signals ### Current State ### Key Hires ### Strategic Implications --- ## 5. Social Media & Community Presence | Platform | Activity Level | Assessment | |----------|---------------|------------| | LinkedIn | | | | Twitter/X | | | | Reddit | | | | YouTube | | | | Product Hunt | | | | Slack/Discord | | | --- ## 6. Podcast & Speaking Appearances ### Assessment --- ## 7. Review Sites & Customer Sentiment ### G2 / Capterra / TrustRadius ### Sentiment Summary **Strengths users report:** **Weaknesses users report:** --- ## 8. Customer Acquisition Channels ### Currently Using | Channel | Status | Effectiveness | |---------|--------|--------------| | ... | ... | ... | ### Completely Untapped | Channel | Opportunity Size | Effort | |---------|-----------------|--------| | ... | ... | ... | --- ## 9. Competitive Positioning ### How They Position ### Comparison Pages | Competitor | Comparison Exists? | Notes | |-----------|-------------------|-------| | ... | Yes/No | ... | --- ## 10. White Space Summary ### Critical White Space (High Impact, Act Now) 1. 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:` 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//` 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