How to Optimize Content for AI Search Engines | 3.1. AEO Course by Ahrefs

Hey, it's Ammo and welcome to the third module in our AI search course. In modules one and two, we covered how AI search works and how to find the keywords and prompts to go after. Now, it's time to actually execute. And that's what this module is all about. And in this first lesson, we're going to be talking about creating content that gets cited. And I've got some data on what AI actually sites to back our strategy. First, content length doesn't matter. We analyze over 174,000 pages cited in AI overviews and the correlation between word count and getting cited is just 0.04. That's basically zero. Over half of all cited pages, 53.4% are under a,000 words. So, if you've been writing 3,000word articles because you think longer content ranks better, that doesn't apply here with AEO. AI doesn't care how long your page is. It cares whether your page answers the question. Second, freshness matters a lot. Content cited by AI is on average 25.7% fresher than what ranks in traditional organic results. And when you look at ChatGpt specifically, 89.7% of its top cited pages were updated in 2025. And get this, 76% were refreshed within the last 30 days. Think about that for a second. If your content hasn't been touched in 6 months, you're already at a disadvantage for AI citations. Now, this doesn't mean you should just change the publish date and call it a day. Google can detect that. You need to make meaningful updates to the actual content. We'll talk about how to do that later in this lesson. And the third data point is that format matters. If you remember from the last module, we talked about how 43.8% 8% of all cited pages by chatbt are listicles. Best x, top x, comparisons, reviews. That's not a coincidence. These formats are built for AI because they give clear, structured recommendations that AI can pull from. But lists aren't the only format that work. Datadriven content with original stats also get cited heavily because AI loves citing specific numbers. and comparison content like X versus Y pages perform well because they map directly to how people ask AI questions. So, the key takeaway here is simple. Keep your content fresh, keep it focused, and lean into formats that AI can actually use. Now, let's talk about how to actually structure your content so AI can use it. And here's something a lot of people get wrong. They think they need to write differently for AI. like there's some special AI optimized format they need to follow. There isn't. You're writing for humans. AI is trained on what humans find valuable. So content that serves human readers well is content AI wants to site. That said, there are a few principles that help both humans and AI get more out of your content. The first one is bluff, which stands for bottom line upfront. This one's borrowed from military communication and it's simple. Start every section with the answer, not the backstory. For example, instead of opening a section with, "Over the past few years, link building strategies have evolved significantly due to changes in how search engines evaluate link quality," you could write, "The most effective way to build backlinks in 2026 is to create original research." Now, here's why this matters. When humans scan a page, they follow what's called an F pattern. They read the beginning closely, skim the middle, and maybe pick up again at the end. Llms show a similar pattern. They weigh the beginning and end of a passage more heavily than the middle. So, if your key point is buried three paragraphs into a section, both humans and AI might miss it. So, put the answer first, then support it with context and examples. The second principle to apply is atomic content. This means every section on your page should be able to stand on its own. So when editing your content, ask yourself, if AI pulls just one section from your article, does it still make sense or does it depend on context from three paragraphs earlier? This matters because AI systems chunk your content into pieces when they process it. Different AI models chunk content differently, and you can't control how they do it. But if every section is self-contained, it doesn't matter where the chunks fall because the meaning survives. A good test you can do is to take any H2 section on your page and read it completely out of context. If it doesn't make sense without the rest of the page, rewrite it so it does. The third principle is entity rich writing. AI understands text by looking at entities and the relationships between them. Entities are things like brands, products, people, places, and specific concepts. So instead of writing this tool helps with SEO, write HF's keywords explorer helps you find keywords with low difficulty and high traffic potential. By providing more entities, relationships, and context, AI has more to work with. And this also ties into how AI picks what to site. The more specific and concrete your content is, the more useful it is when AI is trying to answer a specific question. And the fourth principle is to keep it simple and declarative. Use short sentences and clear subject verb object structure. Basically, try to keep things to one idea per sentence. This isn't about dumbing down your content. It's about making it easy to parse for both people and AI. If a sentence takes two reads to understand, it's probably too complex. Simplify it. Your readers will thank you and AI will have an easier time extracting the key points. Now, these four principles will help you create content that's more likely to get cited. But there are a couple more things worth knowing that can push your chances even further. And the first is something most people don't think about. LLMs have a tendency to flatten originality. Like if you come up with an original concept or framework and you're the only one talking about it, AI will often absorb the idea without crediting you. It becomes part of its general knowledge. The way around this is to label your ideas with your brand name. For example, instead of calling something a content scoring matrix, call it the HF's content scoring matrix or your brand content scoring matrix. Define it explicitly and then distribute it widely across your blog, social media channels, podcasts, Reddit, etc. The more places it shows up with your name attached, the harder it is for AI to flatten it into generic knowledge. Now, another thing you can do is refresh what I call sleeper pages. These are pages on your site that used to rank well but have slowly declined over time. They already have the back links, they already have the authority, they just need a refresh. And because freshness is such a strong signal for AI citations, updating these pages can be one of the fastest ways to gain AI visibility. Here's how to find them. Go to site explorer and enter your domain and head to the top pages report. Then sort by traffic change and look for pages with significant declines. What you're looking for are pages that have two things. A decent number of backlinks, which means they already have authority, and a clear traffic decline, which usually means the content has gone stale. Now, before you update anything, make sure it's actually a content issue and not a backlinks issue. If the page never had many referring domains to begin with, updating the content probably won't help. But if it has links and the content is just outdated, that's a high potential opportunity. So, now you know how to create and update content that AI actually wants to site. But creating great content is only half the equation. You also need to get mentioned on other people's content, the pages AI is already pulling from. And that's exactly what we'll cover in the next lesson. I'll see you there.