Not that it has to be stated (or maybe it’s just because I’m writing about it for the millionth time), but AI search is taking over. It’s not replacing traditional search by any means, but it accounts for a significant share of search activity: it's used by 60% of Americans and climbing up to 74% when polling those under the age of 30.
With traditional search came Search Engine Optimization (SEO); with AI search, Answer Engine Optimization (AEO). No matter where customers are searching, marketers are going to figure out how to influence the algorithm in their favor. Ain't it funny how we do that?
All that is to say, until answer engines are the only way to find information, get product recommendations, or explore a topic, marketers must split their focus to optimize for both traditional and AI search. Luckily for us, the underlying principles aren’t that different, after all.
Okay, I said they’re not that different, but what does that really mean? What’s the relationship between AI search’s AEO and traditional search’s SEO? The answer is that SEO principles form the foundation of AEO principles.
To draw a generalized parallel, let’s think of answer engines as the evolution of traditional search engines. AI engines and LLMs are a far more powerful and evolved technology— so the discipline of optimizing for them should be too, right?
To wrap it up, here’s a general look of SEO versus AEO principles:
You’ll notice some significant overlap in the “How to Optimize” section; that should signal to SEOs and marketing teams that if you’re already winning at SEO (or at least have a solid handle on your SEO strategy), you’re in a good position to extend that work into AEO.
Let’s look at how you can do just that 👀
Some of the core principles to keep in mind when blending traditional SEO and AEO strategies are:
The way users search on Google differs pretty significantly from how they “talk” to LLMs; I even like to say that over the years, we’ve developed our own “language” for Googling. To use a practical example, I recently felt like I needed some sweet, sweet retail therapy (don’t judge me). Here’s how I went about it:
Gemini returned with a list of recommended brands, but none of them were linked directly in our conversation; I turned back to Google and completed my purchase from there.
To understand user search intent, SEOs (and AEOs) must put themselves in their target audience’s shoes, really thinking about what they’re searching for, why they’re searching, and how they’re likely to phrase it.
Structured data and schema markup are definitely not new concepts in the world of search optimization; they both act as a form of signage for GoogleBot (and LLM bots) to understand the type of information that’s on each page of your website.
Similar to Google’s crawlers, LLMs also scrape data from your webpages to gather information, albeit with much less powerful bots. They also prioritize slightly different kinds of information.
This principle is where I, as a writer, see the most similarities between AEO and SEO. Both disciplines love some well-structured content:
The biggest difference is that answer engines prioritize natural language and completeness of information. If your article is titled “What Is AEO? The Ultimate Guide”, be sure to also follow the natural progression of auxiliary questions that your reader might have, such as, “Is AEO the same as SEO?”, “Is AEO replacing SEO?”, or “How do I get started with AEO?”.
This kind of thought process, a holistic understanding of the topic at hand, signals to LLMs that you are an authoritative, knowledgeable source that is actively trying to provide helpful information to your reader.
You thought we were going to talk about combining AEO with SEO and not mention AI Overview or Featured Snippets? Come on…
Position One is no longer the goal (it hasn’t been for a while, now). Position Zero has officially taken over. When a search returns an AI Overview, a Featured Snippet, or both, you can pretty much bank on the fact that a click is not going to happen for that particular search; the user got all of the information they need right there on the SERP. And that’s all thanks to Position Zero.
Here are a few tips for optimizing for Position Zero (whether it be AI Overview or Featured Snippets):
If the answer to this question isn’t obvious already, no, AEO is not replacing SEO, per se. It is, however, going to continue growing as a discipline as AI search behavior continues to become more commonplace amongst users. Coupled with the fact that successful SEO is widely considered to be a foundational element of successful AEO, the next step is clear.
Brands that have a customer base that frequently turns to AI for product recommendations, answers, or explanations should seriously consider incorporating AEO into their marketing strategy (if they haven't already). Consider the following:
Combining AEO with SEO doesn’t require a complete pivot in strategy; think of it more like an extension. The brands that have already found success with traditional search will have an easier time evolving their organic search strategies to include AI search, too.
And if you haven’t done the former, we know an agency that can help.