ke it or not, it's up to us, the people who enjoy making things, to advocate for what we value and to value what we create. We must, on a base level, understand our numbers.
Everyone else's numbers are inflated, but your own data is your gold. Learn to trust your owned data and make decisions with verifiable performance metrics.
Should I, as a website publisher, be angry that an AI summary engine includes my content in its index? Or should I not be so precious about my intellectual property? Here's how I'm making that data-driven decision.
Instead of trucks and newsstands, in 2024 we have web- and social network-based aggregator systems that pipe content directly to consumers via software. Navigating algorithmic distribution is a necessary challenge. Here are some tips.
With data science and algorithms being panned into binary, good-versus-bad narratives, where can we find clarity and room to experiment?
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?
Everything we've ever written about navigation, information architecture, and structuring content.
With Natural Language Processing evaluating most content online, keyword research is more important than ever. Here's everything we've ever published about it.
