gtm-engine

name	gtm-engine
description	Full go-to-market intelligence and outreach engine for founders. Monitors competitors on Reddit, finds high-intent leads across social platforms, and prepares warm outreach sequences. Triggers on "run gtm engine", "find leads", "competitive intel", "outreach pipeline".
inputs	[{"name":"product_url","type":"string","required":true,"description":"Your product's website URL for auto-profiling"},{"name":"competitors","type":"list","required":false,"description":"Competitor names/URLs to track (auto-detected if omitted)"}]
outputs	[{"name":"competitive_intel","type":"json","description":"Competitor mention analysis from Reddit"},{"name":"leads","type":"list","description":"Scored leads ready for outreach review"},{"name":"outreach_drafts","type":"list","description":"Personalized outreach messages awaiting approval"}]

GTM Engine — Composite Skill

Combines brand monitoring, lead generation, and outreach preparation into one automated GTM loop.

Architecture

brand-monitor        → Tracks competitor mentions + buyer signals on Reddit
    ↓ (parallel)
lead-generation      → Finds high-intent buyers across Twitter/Reddit/Instagram
    ↓
[merge + deduplicate signals]
    ↓
[score all leads 1-10]
    ↓
[prepare outreach drafts for warm leads ≥6]
    ↓
[send for human approval — NEVER auto-send]

Feedback Loop

Competitor Discovery: brand-monitor results feed back to lead-generation. If brand-monitor finds a new competitor mentioned (one not in the original config), it's automatically added to lead-generation's query set.

Step-by-Step

Phase 1: Competitive Intel (brand-monitor)

Call brand-monitor for all configured competitors.

Input → brand names from config
Output → alerts {subreddit, post_url, sentiment, intent, urgency}

Filter for buyer signals (intent = "buyer_signal" or competitor_comparison with negative sentiment toward competitor).

Phase 2: Lead Discovery (lead-generation) [PARALLEL with Phase 1]

Call lead-generation with product profile.

Input → product_url (auto-profile) + competitor names from config
Output → raw leads list {platform, username, post_text, url, posted_at}

Phase 3: Merge + Score

Combine Phase 1 buyer signals + Phase 2 raw leads.

Deduplicate by {platform}:{username}:{post_id} against data/lead-generation/sent-leads.json.

Score each using rubric (see lead-generation skill). Filter: only keep score ≥ 6.

Phase 4: Prepare Outreach

For each warm lead (score 6-7) and hot lead (score 8-10), draft a personalized outreach message:

• Warm: engage with their content first (like/reply)
• Hot: direct DM draft

NEVER send without human approval.

Phase 5: Report for Approval

🎯 GTM Engine — [date]

Competitive Intel:
  - [N] buyer signals on Reddit
  - Top: [subreddit] "[post title]" (score X)

Leads Found:
  - 🔴 [N] Hot leads (score 8-10)
  - 🟠 [N] Warm leads (score 6-7)

Top 3 Leads:
  1. @username | [platform] | Score: [X]/10
     "[post excerpt]"
     Outreach: "[draft]"

Reply "approve [1,2,3]" to queue these for sending, or "skip" to discard.

I/O Contract Summary

Phase	Skill Called	Key Input	Key Output
1	brand-monitor	competitor names	buyer_signals list
2	lead-generation	product_url	raw_leads list
3	(internal)	merged signals	scored_leads list
4	(internal)	scored_leads	outreach_drafts