AI Ads Are More Expensive, Not Better

Episode notes

Everyone's plugging Meta, Google, and LinkedIn straight into AI via MCP and asking it where to spend their next ad dollar. Matt Chanella breaks down why that's exactly backwards - and why AI is going to make your ads more expensive, not more effective. In this episode of B2B Reality Check, Matt unpacks the two traps every B2B ad team falls into when they outsource strategy to AI: → AI generates infinite creative variations - far more than you could ever run to statistical significance → AI ad reporting always defaults to raw conversion volume, with zero context on campaign goals, funnel stage, or lead quality Matt walks through why offline conversion tracking is the bare minimum, how to structure your AI context (project files, skills, clean conversion hierarchy) before you ever ask it to analyze spend, and why AI should be a thinking partner - not the decision-maker - for your ad strategy. In this episode: Why lower barriers to entry for AI-generated ads don't mean better ad performance The statistical significance problem with AI-generated creative testing Why AI ad reporting can't distinguish high-intent conversions from low-intent ones (scroll depth, newsletter signups vs.

• He Was the Only Marketer at a Startup Fighting Service Titan - Here's What Won78 / 100
• The ABM Playbook: Account Tiers, Pipeline Metrics & Tactics That Actually Work | Sidney Waterfall & Sam Kuehnle80 / 100
• The offer vs. argument problem: why most B2B promotion is just sophisticated coercion (feat. Liam Moroney))70 / 100
• Is GEO actually a distribution strategy? A skeptic's take on place in B2B SaaS (feat. Liam Moroney)68 / 100
• B2B pricing is a black box - and marketers are paying for it (feat. Liam Moroney))78 / 100