Content for AI Search: How Do You Create Content That Works for AI Engines?

Let’s talk about content for AI search.

Content is one of those fundamental things that is super important to not only your ability to get in traditional search engines, but your ability to get cited and mentioned in AI engines.

You may have even heard people say back when it was just traditional search that you essentially need content in order to show up and rank in search results. You really can’t have SEO without having content that ranks in those engines.

And the same kind of applies to AI search where you need content to be cited.

Content is still so fundamental and important to create, it’s really crucial to understand how to create content in order to get cited in AI engines.

In this blog, we’ll cover:

• How Do AI Engines Process Content?
• The Mistake People Make with Content for AI Search
• The Key to Content for AI Search: Balanced, Search Intent-focused Content

How do AI engines process content?

If we’re gonna talk about creating content for AI engines, we have to talk about the way that AI engines operate.

So AI engines use query fan out, which essentially means that when someone searches a query through an engine like ChatGPT or Claude, it’s not just searching for information on that query.

Instead, it’s fanning out to a bunch of sub queries, trying to find as much information as possible on the topic and then deliver it to the user.

So it’s not as straightforward as it is with traditional search engines where a user would search a phrase and then all of the blue links would show up with different options.

The mistake people make with content for AI search

When people understand that AI engines operate on query fan out and they’re searching these multiple subqueries, it leads people to believe that they need to target all of that information in one blog post and just create a super deep, elaborative source.

But that might actually be what’s keeping you from getting in AI engines.

A recent study from CXL found that 55% of AI Overview citations come from the top 30% of content.

So that means that over half of your AI Overview citations are coming from the top third of your content. That feeds into this idea that AI doesn’t want to sift through content to find answers — it wants answers quickly.

And then on top of that, 24% of citations come from the middle of content, so about 30–60% down on your page.

So, that means that a whopping 79% of citations are coming from the first 60% of your content!

If you’re spending your time trying to address every single little question that may not be relevant to the user’s query, you’re actually hurting your chances of being cited in AI engines.

That’s why it’s so important to really show restraint and really focus on search intent and what kind of information is going to be most relevant.

And this is also the case with ChatGPT as well.

A recent study of ChatGPT responses found that 44% of ChatGPT citations come from the first 30% of a document.

Essentially, the top 30% of your content may become a really important part of getting an AI engines, and you may have to be more strategic about what you’re prioritizing on your page.

The key to content for AI search: Balanced, search intent-focused content

It’s really going to be about creating balanced content. You don’t wanna stuff your content with so many topics and address so many questions that it essentially detracts from your ability to get cited and it doesn’t have your most important information first.

But, you also don’t want to make your content so thin that you’re kind of stretching out a topic more than you really can. (That leads to fluff)

You really need to think about how you can balance things and how you can cover relevant information without doing too much or doing too little. You don’t wanna make something out of nothing. If you have a topic that is pretty short, don’t try to stretch it into this longer blog post just for the sake of it feeling like a fuller post.

But at the same time, you don’t want your content to be so overloaded that it’s two blog posts worth of content that you’re shoving into one.

Content clustering can help a lot, here. It can help ensure that you’re covering all the topics you need to without overloading your blog posts with too much content.

It can also help you identify topics that are important to cover but might be a little bit too thin to stand on their own, so then you can strategize and include them with other content. That ensures you’re still covering that topic but you’re not overloading your blog posts with too much information.

How you can optimize content for AI search

1. Structure Your Content for AI Engines
2. Integrate Data or Original Ideas
3. Make Sure You Answer the Question Right Away

1. Structure your content for AI engines

One really good strategies you can use to create content that performs an AI search is focusing on your structure. The structure of your content will impact your ability to get an AI engines because, basically, if AI engines can’t easily read your content, they’re not going to cite it.

You really need to make sure that you’re organizing your content, using things like H2s and H3s, and taking advantage of tables, bulleted lists, and numbered lists so that your content is super easy to skim

That will help AI engines essentially crawl it, skim it, pull the information, and cite you.

2. Integrate data or original ideas

Another good tactic to use to get your content into AI search is to integrate data and original ideas. Those are those little nuggets of information that AI engines are looking for because they can’t find it anywhere else, but it helps support the conversation and the searches that users are conducting.

If you have data points or if you have quotes from your team of experts, integrating those things into your content can help you earn more AI citations and get you to perform better in AI search results.

3. Make sure you answer the question right away

Additionally, making sure you answer questions right away is really important for having content that’s successful in AI engines. If you’re beating around the bush and you’re not directly answering the question, AI engines won’t cite you — AI engines want the information fast, and they want it right away.

Make sure that the answer to it is right at the top so AI engines can easily extract it and get what they need.

It’s really important to make sure that you’re thinking in an answer first sort of format where as soon as you’re addressing a topic, give the answer right away, and then you can dive into more detail as you go further down.

Keep your content in top shape for AI engines

Content is going to continue playing a fundamental role in getting you cited in AI engine. So it’s really important that you’re thinking strategically about how you’re creating content, how you’re structuring it, and what you’re including in it so that you can earn more AI citations and help your brand get the AI visibility you’re looking for.

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