
Redefining content strategy: Matching business needs with audience behaviors
How can we better elevate content strategy at the business level so that our roles, our passions, our work, and our brains are not considered replaceable?
Original writing on the current state of digital content, including SEO, UX, social media, legacy media, software, independent publishers, AR, VR, emerging tech, and everything in between.
How can we better elevate content strategy at the business level so that our roles, our passions, our work, and our brains are not considered replaceable?
Understanding predictive modeling can help you play moneyball temporarily, but it doesn’t scale as anticipated. And the scientific method completely falls apart when applied to the chaos of the internet. Here's why.
There’s a lot of online chatter on the new platform-driven internet, the rise of AI, and what all that means for the future. With techno-optimists and legacy media failing to understand what’s actually going on, maybe it’s time to create the internet we really want.
For content creators, it can be a struggle juggling multiple content streams at once. Turns out there’s a lot we can borrow from the restaurant industry to create efficient production pipelines of our own.
Publisher Deborah Carver steps into the ring to weigh on recent media criticism of the word "content," suggesting that the budgets allocated to content production and the possibilities of generating "form" with AI should be where our attention lies.
Freelancing gets a bad reputation because of its infamous feast-and-famine cycles that can make even the most resilient among us feel anxious. One way to not only survive, but thrive is to build repeatable, scalable systems that position you as the unequivocal expert in your field.
To put it another way: optimizing with GEO reverse engineering tactics is like entering a house through a small attic window. GEO ignores that the research frameworks literally embedded in the outputs of the model are the keys to the front door.