Why the Best Marketing Teams Are Publishing Less Right Now
About a year ago, I made a decision that felt reckless at the time. I cut our blog publishing cadence from eight posts a month to four.
My team thought I'd lost it, and I understood why. In an industry that has spent the better part of a decade preaching "content is king" and measuring success by volume, cutting output in half feels like unilateral disarmament. You're giving up ground. You're ceding keywords. You're letting competitors fill the space you just vacated.
But something had been nagging me for months. When I looked at our content library with fresh eyes, not through the lens of traffic dashboards but through the lens of "does this actually help anyone make a decision," the picture was grim. We had over 200 blog posts, and when I asked our sales team which ones they actually sent to prospects, the answer was almost none. The content existed to attract search engines, not to help people. And for a long time, that distinction didn't matter because search engines couldn't tell the difference.
That's no longer true.
Generative AI systems evaluate content differently than traditional search engines did. A traditional search engine asked a relatively simple question: is this page relevant to this query? An AI system asks something closer to: is this page clear, specific, and trustworthy enough that I can confidently use it to explain something to a human? That's a much higher bar, and a lot of content that cleared the first bar doesn't come close to clearing the second one.
The more I dug into which of our pages were actually being referenced in AI-generated responses and which were being ignored, the clearer the pattern became. The pages that showed up were the ones where we'd said something specific, taken a position, explained a real tradeoff, or shared an experience that couldn't be easily found elsewhere. The pages that were ignored were the ones that could have been written by anyone about anything; competent, keyword-optimized, and utterly interchangeable with the top five results for the same query.
Here's the part that most content marketers haven't reckoned with yet — every piece of content you publish contributes to how AI systems understand your brand. That contribution can be positive or negative. A page that clearly reinforces who you are, what you specialize in, and how you think about your work strengthens the signal. A page that's vague, off-topic, or indistinguishable from your competitors' content dilutes it. And dilution, in a world where AI systems are trying to form a stable understanding of your brand, is harmful in a way it never was before.
When all your content had to do was rank, volume was a legitimate strategy. More pages meant more keywords meant more surface area. But when your content is being read by systems that are trying to understand who you are at a deeper level, volume without coherence is noise. And noise doesn't just fail to help; it actively makes it harder for systems to figure out what you're about.
After we cut to four posts a month, something interesting happened. The first month, traffic dipped. Not dramatically, but enough to notice. By month three, it had stabilized. By month six, our pipeline quality had noticeably improved. The leads coming through organic channels were more informed, asked better questions, and converted at a higher rate. We were attracting fewer people, but we were attracting the right people, and AI systems were starting to describe our company more accurately when queried.
I'm not saying every team should cut their output in half. What I am saying is that the question worth asking before you publish anything new isn't "will this rank?" It's "does this reinforce or dilute how machines understand our brand?" If the honest answer is that a piece doesn't add anything distinctive to the conversation, the bravest and most strategic thing you can do is not publish it.
This runs counter to everything the content marketing industry has taught us for the past decade. We've been conditioned to believe that publishing cadence is a competitive advantage, that gaps in the editorial calendar are opportunities lost. But that belief was formed in an era when search engines rewarded volume and couldn't evaluate substance. The systems we're dealing with now are different; they're synthesizing, judging, and forming opinions about your brand based on the totality of what you've put out there.
The editorial skill that matters most right now isn't writing speed or keyword research, it's judgment. The ability to look at a finished draft and say "this doesn't actually say anything our audience can't find in ten other places" is more valuable than the ability to produce that draft quickly. I've told my team more than once that I'd rather publish one piece this month that makes someone think differently about our industry than four pieces that restate what everyone already knows.
Restraint is not a natural instinct in marketing. We're trained to produce, to ship, to fill the pipeline with activity. But in a world where AI systems are forming a composite understanding of your brand from everything you've published, restraint might be the most aggressive strategy available to you.
I wrote about this shift in depth in my book, Explainable: Why AI Recommends Some Brands & Ignores Others. It covers how content is evaluated differently in an AI-driven search environment and what the practical implications are for teams that want to be understood, not just found.