SEO, AEO, and Why Search Isn’t Dead Yet

Search is changing. Again. AI tools like ChatGPT, Google’s AI-powered search experiences, and Bing are changing the way people look for information online. Instead of typing a few keywords into a search bar and sorting through a list of links, people can ask full questions, add context, ask follow-ups, and get an answer pulled together for them.

Naturally, that means another acronym has entered the marketing conversation: AEO, or Answer Engine Optimization. And because marketing loves a dramatic headline, it has also kicked off another round of “SEO is dead.”

It isn’t.

SEO is still doing a lot of the heavy lifting. Websites still need to be crawlable, indexed, technically sound, relevant, and useful. Content still needs to match what people are actually looking for. Internal links still matter. Authority still matters. AEO doesn’t throw any of that away. It simply adds another way to think about how information might be discovered and used.

So, What’s the Difference Between SEO and AEO?

SEO, or Search Engine Optimization, is about helping search engines find, understand, and rank your website. Traditionally, we’ve looked at things like keywords, rankings, impressions, clicks, technical health, and whether the right pages are showing up when someone searches for a product or service.

AEO adds another question to that process: Can an AI or answer engine understand the content well enough to use it as part of an answer?

There is a lot of overlap between the two. A page that is vague, poorly structured, buried behind technical issues, or thin on actual information is not suddenly going to become an AEO success because someone added an FAQ section. The same fundamentals that make a page useful for traditional search also make it easier for AI systems to interpret.

The difference is that we are no longer only thinking about whether a page can appear in a list of search results. We are also thinking about whether the information on that page is clear enough to be retrieved, understood, summarized, and potentially cited.

Good SEO Is Still the Starting Point

One of the biggest things we’ve learned while digging further into AI visibility for our clients is that you do not need to rebuild your entire website for AI. You also do not need to start publishing content just because a question could theoretically be asked in ChatGPT.

Sometimes the best AEO work looks a lot like really good SEO.

Take an existing service page. Maybe Google is already showing that page for searches closely related to what the company sells, but the page itself only gives a surface-level explanation of the service. Instead of immediately creating five new articles around related keywords, the better opportunity may be to strengthen the page that already exists.

That might mean clearly explaining what the service is, who it is for, how the process works, what choices a customer needs to make, and why the company is qualified to help. It might mean adding a comparison that helps someone choose between two services or adding context around what happens next.

Now the page is more useful for the person reading it, stronger for traditional search, and much easier for an AI system to understand. Same page, better job.

Not Everything Needs to Be a Question

AEO has become very question-heavy, very quickly. That makes some sense. People often interact with AI tools conversationally, so questions are naturally part of the equation. But that does not mean every H2 on your website suddenly needs a question mark.

Answerable content can take a lot of different forms. A clear definition can be useful. So can a comparison between two services, a step-by-step process, a checklist, product specifications, original research, expert commentary, a case study, or a clear explanation of how a company works.

The goal is not to make the entire website read like an FAQ page. The goal is to make the information easy to understand without forcing a search engine, AI tool, or actual human to piece the answer together from five different places.

Sometimes the Content Is Already Working

This is where AEO gets a little more interesting. We’ve started using tools that give us insight into when client content is being used or cited in AI-generated search experiences. What we’re finding is that the content being picked up is not always the page we would have expected.

Sometimes an educational article is earning visibility while the related service page has very little. That does not automatically mean the article needs another round of optimization. If the article is already doing its job well enough to be found, understood, and used as a source, rewriting it aggressively could actually be the wrong move.

Instead, we can look at what surrounds that successful content. Does it point to the most relevant service or product? Is the related commercial page strong enough to continue the conversation? Does someone who lands on the article have somewhere useful to go next?

That is a much more valuable way to look at AI visibility. Getting cited is interesting. Getting cited and then creating a clear path toward a product, service, consultation, or next step is much better.

What About Schema?

Schema is another piece of the AEO conversation that can get overhyped. Structured data helps search engines understand what something is. It can clarify that a page is about a service, product, organization, article, person, event, or another specific entity.

That context is useful, especially when a site has a lot of different types of content. A law firm, for example, may have service pages, attorney bios, articles, office locations, and organization information. Clear structured data can help search systems understand how those pieces relate to one another.

But schema is not a magic AI button. If the page itself is thin, confusing, outdated, or unhelpful, adding the technically correct label is not going to fix the bigger problem. We think of schema as support for the content, not a replacement for it.

How We’re Looking at SEO + AEO at Hoyden

At Hoyden, we are not treating AEO as a separate world from the SEO work we already do. We are adding another lens to the same strategy.

We still start with the basics. What are people searching for? Which pages are getting impressions? Where is there already visibility but very little traffic? Which services or products matter most to the business? What pages are thin, unclear, or technically messy?

Now we can also look at which content is being used in AI-generated answers, what topics AI systems seem to associate with a brand, and whether the site gives those systems enough clear information to understand the business.

From there, the solution is going to look different depending on the page. Sometimes a new article makes sense. Sometimes an existing service page needs more depth. Sometimes the issue is internal linking. Sometimes it is schema, metadata, indexing, or technical cleanup. And sometimes the smartest move is to leave a strong page mostly alone because it is already doing exactly what it needs to do.

That part matters. Optimization should not mean changing things just because we can.

Search Isn’t Dead. It’s Just Changing.

People are still searching for products, services, recommendations, explanations, and answers. The path they take to get there is simply becoming more varied.

Sometimes they will still type a short phrase into Google. Sometimes they will ask an AI tool a detailed question. Sometimes they will ask a follow-up before ever clicking a website. That changes how we think about visibility, but it does not change the core job.

Create something useful. Make it easy to find. Make it easy to understand. Give people enough information to trust it, and give them somewhere relevant to go next.

Call it SEO. Call it AEO. Call it whatever acronym comes after that. We’re more interested in whether it actually works.