Multi-agentResearch & Competitive IntelligenceAdvancedFree

Social Listening & Brand Monitoring System.

3 agents, 3 deliverables.

Run a multi-agent workflow to produce an execution-ready social listening & brand monitoring system deliverable.

WORKFLOW META

Agents3

Total tokens (avg)~500

Run time9 min

AI toolChatGPT · Claude · Gemini

Variables4

DifficultyAdvanced

CategoryResearch & Competitive Intelligence

SEQUENCE MAP · CLICK TO JUMP

· 01 ·

Monitoring Framework Designer

· 02 ·

Listening Tool Configurator

· 03 ·

Insight Extraction Agent

USE CASE INPUTS

Set the workflow's inputs once.

These variables feed into every agent prompt below. Fill them once, then copy each agent in order.

Brand product to monitor

Prompt Masterclass

Monitoring goal

increase organic traffic and generate product sales

Industry topic area

AI education and prompt templates

Current monitoring setup

Social Listening & Brand Monitoring System example context

THE AGENTS

The 3-step sequence.

AGENT · MONITORING FRAMEWORK

Monitoring Framework Designer

GOAL OF THIS STEP

Design the social listening framework. Define: the keyword universe to track (brand mentions, competitor mentions, product category keywords, industry keywords, executive names), the platform priority stack (Twitter/X, LinkedIn, Reddit, YouTube, Google reviews, news sites — ranked by where your audience is most active), the monitoring frequency (real-time alerts vs. daily digest vs. weekly report), and the sentiment classification system (Positive / Neutral / Negative / Mixed — with example triggers).

EXPECTED OUTPUT

Keyword universe + platform priority stack + monitoring frequency + sentiment classification system

agent-01-monitoring-framework-designer.md

### Input
Brand, goal, industry, current setup

### Task
Design the social listening framework. Define: the keyword universe to track (brand mentions, competitor mentions, product category keywords, industry keywords, executive names), the platform priority stack (Twitter/X, LinkedIn, Reddit, YouTube, Google reviews, news sites — ranked by where your audience is most active), the monitoring frequency (real-time alerts vs. daily digest vs. weekly report), and the sentiment classification system (Positive / Neutral / Negative / Mixed — with example triggers).

### Output
Keyword universe + platform priority stack + monitoring frequency + sentiment classification system

AGENT · LISTENING TOOL

Listening Tool Configurator

AGENT · INSIGHT EXTRACTION

Insight Extraction Agent

HOW TO RUN

Three steps. 9 min.

STEP 01

Fill in the variables at the top. Copy them into a note or your tool's context window — every agent below uses them.

STEP 02

In your AI tool, paste Agent 1 and run it. Copy the output. Paste Agent 2 with the output appended. Repeat in order for all 3 agents.

STEP 03

At the final agent, review and refine. It outputs your finished deliverable, ready to publish or hand off.

WHAT YOU GET

The final output, end-to-end.

Monitoring Framework Designer

Keyword universe + platform priority stack + monitoring frequency + sentiment classification system

Listening Tool Configurator

3-tier tool configuration: tools + setup instructions + alert configuration for each tier

Insight Extraction Agent

Weekly report template + customer insight mining process + competitive extraction process + influencer identification system

★ MULTI-AGENT PACK

The Multi-Agent Operator Pack.

100 production-ready workflows like this one. Agent prompts, variable cheat-sheets, and the operator's guide.

Free

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Social Listening & Brand Monitoring System.

Set the workflow's inputs once.

The 3-step sequence.

Monitoring Framework Designer

Listening Tool Configurator

Insight Extraction Agent

Three steps. 9 min.

The final output, end-to-end.

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