How Is AI Changing the Way People Search? (And What Does That Mean for Your SEO Strategy?)
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How Is AI Affecting Keywords?
The biggest effect that AI has had on how people search is in the keywords they’re using. Instead of searching for a single word or a short phrase, people tend to treat AI as if it’s another person. They’ll ask full questions, such as “Where is the best coffee shop in Chicago?” instead of “Chicago coffee.” This does mean that keyword strategy can’t just look at words; it needs to involve figuring out user intent and what long-tail keywords would best suit that intent.
What Are Long-Tail Keywords?
Long-tail keywords are longer phrases or even full sentences that are more specific to a user’s search intent. Technically, a longer statement in the style of a shorter keyword may count as a long-tail keyword, but AI’s influence means that most user searches are in the form of a question. This isn’t actually a new thing–long-tail keywords, especially those in question form, have been a part of SEO strategies since people started searching with Siri and Alexa and other voice systems, because they talk to those like they’re people, too. ChatGPT and Gemini are just the first AI systems where you can type the conversation instead of speaking it.
What Is Actually Changing in User Search Behavior?
Even though long-tail keywords have been around for a while, thanks to voice searching, generative AI has still changed the way people have engaged with those keywords. Making a search with Alexa typically involves asking just one question at a time. Searching via ChatGPT or Google’s AI Mode actually allows for follow-up questions. Searching with generative AI is part of a conversation, with back-and-forth between the user and the AI platform. This means that your SEO strategy needs to involve not only thinking about what questions users may be asking but also what follow-up questions they may have.
How Can You Optimize for Long-Tail Keywords?
To make sure your SEO strategy takes into account how search behaviors are changing thanks to AI, you can do the following:
Optimize for Questions
Assume that users will be asking questions of AI engines. It’s important to know exactly what questions people are asking, so looking at the “People also ask” section on Google’s SERP is a good free way of incorporating questions into your keyword research. There are paid tools, like AnswerThePublic or AlsoAsked, that can help as well.
Don’t Ditch Core Keywords
Just because users are searching in a longer question format doesn’t mean you should abandon shorter core keywords altogether. These traditional keywords can help Google to classify your content and determine its relevance, authority, and more. They can still have an impact on your rankings, because Google expects that content about a certain topic will include certain keywords.
Structure Your Content for Layered Searching
Your content should be structured so that it’s layered with possible search questions. A table of contents with jump links can help users to more easily do deeper dives once they’re on your page. But each header is an opportunity for a keyword, and smaller headers can be opportunities for the follow-up questions that are becoming more common.
Look for Ultra-Specific Queries in Search Console
When you’re doing keyword research, keep an eye out for ultra-specific, or even downright weird, questions. Don’t treat these as outliers to be ignored; think of them as opportunities for reaching more of your audience with content that they’re looking for.





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