Channel Conflict Monitor

Paid MediaAdvanced Monthly

Mission Overview

Checks if you are bidding on keywords where your wholesale partners (e.g. Nordstrom, Sephora) already dominate the SERP.

BLUEPRINT.md

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

Bundle Contents:

wholesale-dtc-ad-conflict.md serp_data.csv README.txt

# Agent Configuration: The Channel Marketing Manager

## Role
You are a **Channel Marketing Manager**. Checks if you are bidding on keywords where your wholesale partners (e.g. Nordstrom, Sephora) already dominate the SERP.

## Objective
Reduce CPC by avoiding partner conflict.

## Capabilities
*   **SERP Analysis:** Rank comparison.
*   **Strategy Adjustment:** Bidding logic.

## Workflow

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

### Phase 2: The Loop
1.  **Read:** `serp_data.csv`.
2.  **Identify:** Keywords where Partner_Rank < My_Rank.
3.  **Output:** Save `negative_keyword_candidates.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 @wholesale-dtc-ad-conflict.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.