AI & Algorithms

72 posts

The front door to discovery: How natural language processing is the key to visibility in LLMs

a house with a white picket fence with a leafy fall lawn

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.

A digression on trust: Slop blogs and the accomplished UX strategist who doesn't exist

A digression on trust: Slop blogs and the accomplished UX strategist who doesn't exist

Are attractive websites more likely to trick experienced content strategists?

The facts of lore: What happens when the most reputable information on the internet is about fiction?

The facts of lore: What happens when the most reputable information on the internet is about fiction?

Sometimes, mid-planning, you'll hear something like, "We have to build out an entirely new content campaign that doesn't fit into our existing plan or budget because Wolverine is Canadian and his skeleton is infused with adamantine."

Notion review revisited: The $10B tool that bet on desktop-centricity and the left-hand nav

Notion's role in the 2024 notetaking and project management landscape.

Should I let Perplexity crawl my content? Pitting legacy media intellectual property standards against AI discoverability

Should I let Perplexity crawl my content? Pitting legacy media intellectual property standards against AI discoverability

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.

What is content distribution? Navigating the necessary evils of algorithms

What is content distribution? Navigating the necessary evils of algorithms

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.

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