Iteration is a repetition of a process to solve a specific problem, and it’s a big part of how machine learning algorithms are developed. But the way devs and data scientists think about iteration doesn’t always match with editorial and entertainment industry production methodologies and norms.
As we exit 2022 and enter into our new world of "generative AI," I recommend establishing a new framework for content evaluation: The Wahlburgers–First Cow continuum.
How do Google's keyword planner and other keyword research tools generate their data? Here's what I've learned in the past decade of SEO research.
What does personalized content actually look like in 2021? Check out these good-better-best examples of personalization.
When actually engineering and optimizing content for personalization, two major challenges arise: the Inventory problem and the Interpol problem.
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.
