Everyone's talking about AI. Not everyone's talking about the same thing. That distinction is becoming expensive for businesses that assume all AI is interchangeable. GenAI tools, AI agents, and agentic AI aren't three names for the same technology. They're three fundamentally different operating models with different capabilities, different limitations, and very different requirements to deploy well. Understanding where each one starts and stops is the difference between usi

The voluntary migration window is open but closes when automatic upgrades begin in September This isn't a Google product update. It's a structural shift in how paid search works, and both major platforms are executing it on roughly the same timeline. Google announced this week that starting in September, it will stop allowing advertisers to create new Dynamic Search Ad campaigns. Existing DSA, automatically created asset, and campaign-level broad match campaigns will be autom

Here's the Road From Here to There Sundar Pichai was asked last week whether search would exist in ten years. His answer: "Search would be an agent manager, in which you're doing a lot of things." That's not just a prediction, it's pretty much a product roadmap. If you're running marketing for a mid-market business, the question worth asking isn't whether that future arrives, it's what your business needs to look like at each stop along the way. Because there are stops. This

The marketing funnel didn't get longer. It got hijacked. Not by a competitor. Not by a platform update. By a fundamental change in how buyers build their shortlists, and it happened quietly, upstream of everything you've been optimizing. Before anyone types a query into Google, a growing share of your potential buyers have already had a conversation with an AI assistant. They've described their problem. Gotten a framework. Narrowed their options. In some cases, they've alread

AI access is no longer the issue Most organizations are already there. Tools are in place. Teams are experimenting. Research shows that 78% of organizations are using AI in at least one business function, and 75% of knowledge workers report using AI at work. That sounds like progress. But when you look at how the business actually operates, something doesn’t line up. Because despite that level of adoption, more than 80% of organizations are not seeing a meaningful financial i

Earned media was never just about awareness. Here's how to turn coverage into pipeline. Most mid-market businesses treat PR like a feel-good expense. You land a story, share it on LinkedIn, clip it for the quarterly report, and move on. Leadership nods. Nobody asks what it generated. Nobody asks because nobody knows how to find out. That's not a PR problem. That's a measurement problem. And it's costing you. 67% of CMOs say PR directly influences revenue growth over a three-y

I've written about broken attribution before. More than once. If you've been following along, you know my position: last-click measurement was always a simplification, AI amplifies whatever data infrastructure you feed it, and most mid-market businesses are optimizing against a distorted picture of reality before a single bid is placed. I'm not going to repeat all of that here. What I'm going to do is tell you what's actually changed recently, because Google just published a

There's a new evaluation happening before your prospect ever lands on your website. An AI tool has already compared you to three competitors, noted that your product descriptions lack specificity, and flagged that you don't show up in structured data feeds. And it may have recommended someone else. That's not a future scenario. That's what's happening right now, and the research is catching up to what a lot of us in performance marketing have been watching build for over a ye

Google just released research that confirms what most mid-market companies are getting wrong about paid media measurement. The answer isn't more data. It's better causality. There's a conversation that happens in boardrooms across North America every quarter. Marketing presents a stack of dashboard screenshots. The CFO looks at the numbers, nods, and then quietly redirects budget somewhere else. Not because the marketing isn't working. Because no one can prove that it is. Tha

The gap isn’t AI adoption. It’s the quality of guidance behind it. AI has moved from experiment to operational reality for most businesses. The question for owners and executives is no longer whether to engage with it. It's whether the person you're paying to guide you actually knows what they're doing. That distinction is where a lot of organizations are getting into trouble. The Competitive Gap Is Already Opening The numbers on this are not subtle: 71% of C-suite executives