Audit Content

Reviews enablement asset inventory for freshness, adoption, and gaps, delivering prioritized actions.

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

Command: audit-content

Inputs

audience – target audience (AEs, SDRs, SEs, CSMs, partners).
region – optional geographic focus.
include-metrics – true/false to add adoption + performance metrics.
age-threshold – months since last update to flag assets.
topics – optional themes (competitive, product, discovery, vertical).

Workflow

Inventory Pull – scan enablement CMS/LMS metadata (asset type, owner, last update, usage).
Adoption & Impact – analyze usage metrics and performance correlation.
Gap Analysis – compare assets vs enablement roadmap + field requests.
Recommendations – prioritize refreshes, net-new content, and retirements.
Action Plan – assign owners, timelines, and metrics for each recommendation.

Outputs

Content inventory report with freshness + usage metrics.
Gap & action list with priority, owner, and due date.
Dashboard snapshot summarizing adoption + impact if metrics included.

Agent/Skill Invocations

content-architect – owns metadata + action plan.
enablement-strategist – aligns gaps with GTM goals.
field-coach – provides frontline feedback and reinforcement needs.
content-governance skill – enforces standards + lifecycle rules.

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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.”