Why Your 2019 Content Strategy Is Now Hurting You

▼ Summary
– LinkedIn entrepreneurship has risen nearly 70% year over year, with over 60% of those entrepreneurs also identifying as content creators.
– The author’s original four-category framework for YouTube content was a snapshot of available data, not a finished product, as later evidence expanded it to 39 emotions.
– Practitioners get stuck when they apply old frameworks to new data instead of rebuilding them with current knowledge.
– The author advises content creators to find a belief, find research that complicates it, and write about the gap honestly.
– To stay current, review your oldest published framework against recent research and publish an updated version that explains what changed and why.
When LinkedIn editor Taylor Borden reached out to me for her newsletter The Work Shift, she posed a question rooted in compelling statistics: entrepreneurship on LinkedIn has surged nearly 70% year over year, over 60% of those entrepreneurs identify as content creators, and weekly posters see up to 4x more profile views, with commenting driving 2.5x more engagement. Her query was straightforward: What single lesson reshaped your approach to content creation, and how would you craft your first 10 posts if starting over on LinkedIn today?
I nearly defaulted to a framework. Then I caught myself. That instinct, that comfort with neat categories, is precisely what holds creators back.
Why a Clean Framework Can Become a Trap
Around 2009, Guy Kawasaki asked me to contribute to his book Enchantment: The Art of Changing Hearts, Minds, and Actions. I proposed a tidy system: brands could create enchanting YouTube videos by inspiring with emotional stories, educating with useful insights, enlightening with documentaries, or entertaining with humor. Four categories felt complete. It was elegant, teachable, and memorable. I used it. Others adopted it. I later turned it into a piece for Search Engine Journal titled “What Is a Content Marketing Matrix & Do We Need One?”
But the data kept coming. By 2023, I found myself writing another SEJ article, this time identifying not four emotions but 39 distinct emotional triggers. I never connected those two articles until Borden’s email forced me to. That 14-year gap, spanning 35 additional emotions, became the most valuable lesson from my 24 years in this industry. The original framework wasn’t wrong for its time. It was simply limited by the data I had access to then. The real mistake would have been treating it as a finished product.
The Practitioners Who Thrive Are the Ones Who Update Their Frameworks
This insight applies far beyond LinkedIn. It’s a warning for anyone doing SEO, content marketing, or social media marketing today. Every framework you create, every “four types of X” or “five stages of Y,” is a snapshot of evidence from the day you built it. AI Overviews didn’t exist when most of our content frameworks were written. Neither did AI Mode, Gemini-embedded search, or AI Overviews appearing in 2.5 billion users’ results. Those frameworks, built for a world of ten blue links, were not wrong. They were just the size of the dataset that existed then.
The practitioners who stagnate are the ones clinging to 2019’s framework in the face of 2026’s data, because the old system feels safe and the new evidence is inconvenient. The ones who grow are those curious enough to ask, “What would this framework look like if I rebuilt it today, with everything I now know that I didn’t know then?”
This is exactly the trap many AI Overview content strategies are falling into. The “answer the query in 40 words at the top of the page” model was designed for winning featured snippets. It worked for that era. But AI Overviews don’t reward the page that already said everything. They reward the page users click through to after the Overview, and they reward it for offering more than the summary that sent them there. A page built to win the old framework is, by design, the page with nothing left to offer. The four-category model and the 40-word-answer model failed for the same reason: both were finished products built for a dataset that kept growing after the deadline.
What I’d Tell Anyone Starting Their First 10 Posts
Here’s the advice I gave Borden, and it applies to anyone in SEO, content marketing, or social media marketing, whether on LinkedIn or elsewhere. Find something you believe confidently. Then find the research that complicates it. Write about the gap, honestly, including the part where you were wrong or incomplete.
That single move accomplishes three things at once. It gives you a topic (your existing belief), a hook (the data that challenges it), and credibility that a polished, unchallenged framework never can. Readers can tell the difference between someone defending a position and someone genuinely updating one.
Two Steps to Apply This This Week
First, dig up the oldest framework, list, or “the X types of Y” piece you’ve published, the one you’re proudest of, the one that still gets cited or linked. Search for what’s been published on that exact topic in the last 12 months. If a four-category framework from 2009 quietly needed to become 39 by 2023, whatever you wrote in 2019 or 2021 almost certainly has a similar gap waiting in 2026’s data. Don’t defend the old version. Write the piece that updates it, and say explicitly what changed and why.
Second, before you publish anything framed as “the X ways to do Y,” ask yourself whether you’re presenting a snapshot or a conclusion. A snapshot says, “Here’s what the evidence shows as of now, and I’d expect this number to grow.” A conclusion says, “This is the complete list.” The first framing ages well. The second framing is the one you’ll have to walk back in front of an audience, the way I just did with my own 2009 framework, in public, 14 years later.
The entrepreneurship data Borden shared, the 70% growth, the 4x profile views for weekly posters, isn’t really about LinkedIn specifically. It’s evidence that more people are now doing what writers and SEO practitioners have always done: putting a belief in public and finding out, often quickly, whether the evidence agrees. The lesson is the same either way. Stay curious about what the data says next, especially when it disagrees with the framework you already published.
(Source: Search Engine Journal)




