Search & Discovery

76 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.

How SEO ends

How SEO ends

Perpetuated primarily by startups hungry for users and the entrepreneurial agencies and thought leaders who serve them, bad data begets worse expectations. Rapid rocketship visibility graphs imply that business results will follow—almost never the case long-term.

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."

A guide to content analytics: Why content professionals should care about their metrics

A guide to content analytics: Why content professionals should care about their metrics

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.

A guide to information architecture: Form, function, and delight in website design

Everything we've ever written about navigation, information architecture, and structuring content.

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.

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