Bo Bennett On Managing Marketing For Multiple Sites

## Episode Summary Bo Bennett returns to walk through how he built Promoto.io to solve a problem most marketers never face: managing paid ad campaigns across more than 40 websites simultaneously. He explains how the tool uses an AI agent to write ad copy, post to Google, Bing, and Facebook, self-optimize underperforming ads, and send a single plain-English morning email summary in place of a full-time team. The conversation gets into where Bo draws the line between letting AI decide and stepping in himself. --- ## What You'll Learn - **Why Bo sets up each new site in about 5 minutes:** he enters the site, sets a budget, clicks go, and Promoto handles writing, posting, and iterating on ad copy from there - **How the self-optimization loop works:** when an ad underperforms, Promoto automatically pulls it and replaces it with new variants—no human trigger required - **Why differences are managed by ad network, not by site:** policies and tactics vary by platform (Google vs. Facebook, for example), so Bo applies network-level rules uniformly across the whole portfolio - **How Promoto ranks ad platforms for your specific product:** one of the first tabs asks AI to analyze your website and rank which networks—Reddit, Google, LinkedIn, etc.—are worth your money, and in what order - **The build-for-yourself-first model:** Bo won't open a tool to the public until he's proven it on his own 40-plus site portfolio—the same approach he used with AgentOutreach --- ## Notable Quotes > "Every time an ad doesn't do well, it posts three of them. When one or two don't do well, it will rewrite them. It just keeps on getting better and better." > — Bo Bennett > "I let AI take over and do it for me because it knows more than I do when it comes to pay-per-click marketing." > — Bo Bennett --- ## About the Guest Bo Bennett, PhD is the owner of Archieboy Holdings, a portfolio of more than 40 websites spanning a range of markets. He builds each tool primarily to solve his own operational problems at scale, then opens it to the public once it's proven in production—Promoto.io being the latest example. He describes his management philosophy as deliberately hands-off on AI decisions, reserving his own input for policy direction, display preferences, and network-specific rules rather than creative or optimization choices. He is actively involved in Promoto's development and uses his own portfolio as the live test environment. --- ## Topics Covered - Multi-Site Ad Management - AI-Driven Ad Optimization - Pay-Per-Click Automation - Morning Email Reporting - Ad Network Policy Differences - Platform Budget Minimums - Reddit Ads Integration - Build-for-Yourself-First Strategy