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Search and AI-answer content should map to the user's moment of intent: know, go, do, or buy, because the same keyword can require different content.
In 2015, Google published something called Micro Moments. It said people don't search at random. They search from four states of mind.
Google broke it down into four moments. Number one, want to know. That's when someone's researching.
They're asking, how does this actually work? 2, want to go. That's when someone is looking for a place like best running store near me.
3, want to do. That's when someone is trying to solve a problem, like how do I fix knee pain when I run? And 4, want to buy.
That's when someone is ready to make a decision, like Best Running Shoes for Flat Feet. Same keyword, completely different moment, which means you need completely different content. And 76% of people now say they want a conversational search experience.
They're not typing keywords. They're describing the problem, and they want an answer, not 10 links to dig through. That was a big lesson.
Search and AI-answer content should map to the user's moment of intent: know, go, do, or buy, because the same keyword can require different content.
Classify each target query/page by know/go/do/buy intent before drafting; build distinct page formats and CTAs for research, local navigation, task-solving, and purchase/comparison moments.
This source is connected to Search intent moments.
Google broke it down into four moments. Number one, want to know. That's when someone's researching. They're asking, how does this actually work? 2, want to go. That's when someone is looking for a place like best running store near me. 3, want to do. That's when someone is trying to solve a problem, like how do I fix knee pain when I run?...