Territory Optimization

Use to score territory scenarios for fairness, whitespace, and productivity.

Published by @gtmagents·from gtmagents/gtm-agents·0 agent reads / 30d·0 saves·Updated June 14, 2026

Territory Optimization Skill

When to Use

Designing new coverage models or rebalancing routes.
Evaluating fairness metrics during carve-up reviews.
Preparing leadership readouts on territory effectiveness.

Framework

Input Prep – normalize account TAM, ARR, propensity, and travel constraints.
Scenario Modeling – generate multiple carve-ups (geo, industry, hybrid) with scoring weights.
Fairness Scoring – calculate Gini, whitespace %, and attainment probability per rep.
Operational Check – validate CRM ownership, routing rules, and ROE impact.
Recommendation – surface top options with rationale and risks.

Templates

Territory scoring matrix (scenario vs KPIs).
Leadership readout deck outline.
Change management checklist for RevOps + Enablement.

Tips

Keep scoring weights transparent to avoid stakeholder confusion.
Include travel/coverage constraints early to prevent downstream rework.
Pair with roe-governance to confirm routing + escalation rules.

More on the bench

Draft Response

Draft a professional customer-facing response tailored to the situation and relationship. Use when answering a product question, responding to an escalation or outage, delivering bad news like a delay or won't-fix, declining a feature request, or replying to a billing issue.

customer-success+2

Design Clinical Campaign

Produces clinical-grade campaign brief with targeting, creative guidance, and review plan.

marketing-growth-copy+2

Vendor Review

Evaluate a vendor — cost analysis, risk assessment, and recommendation. Use when reviewing a new vendor proposal, deciding whether to renew or replace a contract, comparing two vendors side-by-side, or building a TCO breakdown and negotiation points before procurement sign-off.

Sharebench · Public bench

Connect via MCP.

Add the public bench to any AI tool. Your agents read every artifact you see — no signup needed.

1Pick your tool

# Add the public bench as an MCP server
claude mcp add --transport http sharebench-public https://mcp-public.sharebench.ai

# Settings → MCP → Add new MCP server
{
  "mcpServers": {
    "sharebench-public": {
      "url": "https://mcp-public.sharebench.ai"
    }
  }
}

# Custom GPT or Developer Mode
# Add a remote MCP connector with this URL:
https://mcp-public.sharebench.ai

# Append to ~/.codex/config.toml
[mcp_servers.sharebench_public]
url = "https://mcp-public.sharebench.ai"

2Ask your agent for an artifact

Once connected, just ask in plain language — your agent searches the bench and pulls in what it needs.“Pull the brand voice from sharebench and rewrite this draft.”