Automate Your Repetitive Marketing Tasks With AI Agents

For marketing teams losing 10+ hours a week to competitor checks, performance reports, content repurposing, and social monitoring, this playbook shows you how to hand that recurring work to an AI agent that runs on a schedule. You download the full build guide plus 5 copy-paste prompt templates (competitor monitoring, LinkedIn performance analysis, aspirational profile scraping, YouTube-to-blog repurposing, comment engagement) and an input-output sample table for your competitor sheet. Your team keeps the strategy and the agent handles the grunt work.

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What you'll learn

Spot the recurring marketing tasks worth automating using three traits, predictable cadence, repeatable process, and consistent output format
Map every task into an input-output chain and write down what good looks like before you touch any tool
Set up one agent that owns your marketing department and connect LinkedIn, Slack, Google Sheets, Gmail, and Notion as its data sources
Write workflows in plain language with the What plus When plus Why formula and let the AI co-pilot turn them into the technical prompt
Run free test passes in Relay, review the output against three checks, and tune prompts the way you train a new hire
Build a monthly competitor monitoring report end to end, from a simple Google Sheet of competitor URLs to one consolidated Slack report
Stack 5 ready-to-use prompt templates onto the same agent for competitor monitoring, LinkedIn performance, profile scraping, YouTube-to-blog repurposing, and comment engagement

Summary

The playbook walks you through a 10-step build using the Input-Output Automation Framework, where you define what goes in, what comes out, and what good looks like, then chain the steps so each one feeds the next. You set up a single agent that owns your marketing department, connect LinkedIn, Slack, Google Sheets, Gmail, and Notion, and write workflows in plain language the way you would brief a smart intern using a What plus When plus Why formula. You start with one validated task like monthly competitor monitoring, test it for free, then stack more skills on the same agent, weekly LinkedIn performance analysis, content idea scraping, YouTube-to-blog repurposing, and daily comment suggestions. It recommends Relay as the primary tool ($35/month for 25K AI credits, $100/month for 50K), with Make and n8n as alternatives. The method follows the same feedback loop as training a real employee, where your first output lands around 70% and the second pass reaches 90%.