I write a lot about PPC. Brand and performance convergence, AI measurement gaps, Performance Max controls, first-party data strategy and if you have been reading this blog for a while, you have seen me cover that ground in depth. I am not going to repeat any of it here. What I have not written about yet are the specific tactical moves that came out of a recent deep-dive conversation between the ads liaisons at both Google and Microsoft. These are the details that tend to get

Most mid-market companies I work with are spending serious money on paid search, SEO, content, and social ads. They're tracking cost per lead, conversion rates, and pipeline attribution down to the penny. And they're losing customers out the back door because nobody is watching what happens after the sale. This is not a customer service article. This is a marketing ROI article. Because if your post-sale experience is broken, you are paying to fill a leaky bucket. And no amoun

What Are They Finding? Here's something nobody in digital marketing wants to say out loud: the question is no longer whether AI has changed how your customers find you. That ship has sailed. The question is whether your business shows up in those AI conversations at all, and if it does, whether it shows up accurately. Right now, someone is asking ChatGPT, Perplexity, or Google's AI about a problem your business solves. AI is giving them an answer. The answer either includes y

Revenue Growth Is the One That Matters Now I've already made the case for why AI discipline has to come first. If your data is fragmented, if marketing and sales aren't aligned, if nobody can sit in an ROI conversation comfortably, AI doesn't fix that. It accelerates it. You can read that argument in full [here] . That work matters. But discipline is not a revenue strategy. It's the foundation you build one on. This piece is about what comes next. Specifically, how AI becomes

New research shows that marketing agencies—companies whose entire business model depends on staying ahead of marketing trends—are failing at AI adoption. The implications for internal marketing teams are significant. Over 60% of agency professionals cite skills gaps and lack of training as the biggest blocker to effective AI adoption. Even more telling: 73% say staff upskilling is the single most important requirement for AI to work at scale. This isn't a tooling problem. It'

SEO has reinvented itself twice. The third reinvention is happening now. Act One: Vanity Metrics.  Rankings. Traffic. Impressions. For years, SEO success meant climbing the SERPs. Whether those visitors converted was someone else's problem. Act Two: Performance SEO.  Smarter marketers started asking harder questions. Which keywords convert? What's the cost per acquisition? SEO became accountable to revenue, not just rankings. Act Three: Demand SEO.  This is where we are now.

Why That Matters So Much for Your Budget For two years, Performance Max has been Google's favorite way to eat advertising budgets while keeping advertisers in the dark about where their money actually went. The pitch was simple; hand over your creative assets, set a budget, and let Google's AI do the rest. The reality was messier. Advertisers lost control of where ads ran, which search queries triggered them, and whether the system was cannibalizing existing high-performing c

Most businesses take 42 hours to respond to inbound leads. We respond in 10 seconds. We spend a lot of time getting businesses found online. SEO. Paid search. Content. Conversion optimization. All designed to drive high-intent prospects to click, call, or submit a form. Then what happens? For most businesses, the answer is nothing good. Calls go to voicemail. Forms sit unread for hours or days. By the time someone responds, the prospect has already moved on to a competitor wh

Everyone wants AI agents. The boardroom conversations have shifted from "should we do AI" to "how fast can we deploy agents." And yet most of these projects are going to fail. Not because the technology isn't ready. Because the data isn't. Gartner predicts that 60% of AI projects will be abandoned by 2026 due to a lack of AI-ready data. We're not talking about pilot programs that didn't quite hit their metrics. We're talking about complete abandonment. The gap between AI ambi

When ChatGPT or Perplexity recommends your business, it's not the same as ranking on page one of Google. It's closer to a trusted advisor handing someone your business card and saying, "These are the people you need to call." That distinction matters for how you measure, budget, and staff around AI search visibility. It also changes where the dollars should come from. This isn't a brand awareness line item. It's demand capture. Why AI Search Signals Higher Intent Traditional