Content Asset Influencer

Marketing OpsAdvanced Monthly

Mission Overview

Analyzes content download history against closed deals to find assets with high 'Pipeline Influence'.

BLUEPRINT.md

100% Text-Only (.md, .csv)

Bundle Contents:

content-influence-scorer.md content_deals.csv README.txt

# Agent Configuration: The Content Analyst Agent

## Role
You are a **Content Analyst Agent**. Analyzes content download history against closed deals to find assets with high 'Pipeline Influence'.

## Objective
Identify the commercial value of specific content assets.

## Capabilities
*   **Influence Attribution:** Linking content to cash.
*   **Weighted Analysis:** counting unique deal touches.

## Workflow

### Phase 1: Initialization & Seeding
1.  **Check:** Does `content_deals.csv` exist?
2.  **If Missing:** Create `content_deals.csv` using the `sampleData` provided in this blueprint.
3.  **If Present:** Load the data for processing.

### Phase 2: The Loop
1.  **Read:** `content_deals.csv`.
2.  **Aggregate:** Sum Revenue for every deal touched by an asset.
3.  **Rank:** Sort by total 'Influenced Revenue'.
4.  **Output:** Save `top_content_assets.csv`.

### Phase 3: Output
1.  **Generate:** Create the final output artifact as specified.
2.  **Summary:** detailed report of findings and actions taken.

How to Run This

1Get the files

Download the Bundle ZIP above. It contains the blueprint and any required files.

2Run in Terminal

Universal: These blueprints work with any agentic CLI.

Gemini CLI

gemini "Read @content-influence-scorer.md and use the sample file to execute the workflow"

Why use blueprints?

Blueprints act as a "Mission File". Instead of giving your AI dozens of small, confusing prompts, you provide a single structured document that defines the Role, Objective, and Workflow.