What are AEO and GEO? Marketing as search becomes answers

The basic unit of search has changed: instead of ten blue links, people now read a single paragraph summarized by ChatGPT, Perplexity, or Gemini and make their decision right there. The point where people first encounter a brand has moved from the search results page into the body of an AI answer.

AEO and GEO work to ensure that AI cites your brand accurately when it generates an answer. AEO (Answer Engine Optimization) is about getting your content picked up in the body text that answer engines like ChatGPT and Perplexity produce, while GEO (Generative Engine Optimization) extends that scope to recommendation lists, comparison cards, voice answers, and image captions. Even the 2026 guides from Search Engine Land and Semrush use the two terms almost interchangeably in practice, because the goal is identical: to insert your brand as an ingredient when AI assembles its answer.

The definitions of AEO and GEO

The two differ in the scope they cover, and in the yardstick used to gauge results. openads.co.kr's 2026 AEO/GEO guide also explains the two separately. When measuring, PION distinguishes between them, but runs the actual work as a single flow.

AEO: getting cited in the answer body

AEO focuses on the response body of AI answer engines. The targets are interfaces that write answers directly, like ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Here, instead of search keywords, the unit of measurement becomes the actual sentence the user enters: the prompt. Ranking tables are meaningless. Instead, you look at "how many times and in what position we appear within the answer."

In practice, AEO examines how your brand appears in AI answers.

• In the answers to which prompts does our brand appear?
• In what sentence and what phrasing is it cited?
• In what order is it mentioned within that answer? (The first line and the last line carry different weight.)

PION measures these three directly for each client to build baseline data.

GEO: extending beyond the answer

GEO doesn't look only at body text. It takes the entire output AI generates as its scope: recommendation lists, comparison cards, purchase recommendations, image and video captions, and even the responses of voice assistants. nerdboard.kr's AEO/GEO optimization guide defines GEO as "the state in which brand information is accurately carried in AI-generated answers."

So in practice, the criterion for distinguishing the two shrinks down to just one: how far you set the measurement scope. Since the goal, "increasing our exposure in AI answers", is the same anyway, Korean marketers too tend to mix the two words without bothering to distinguish them.

Why you need to care about this now

Because the very place where purchase decisions happen has moved. The ground has shifted too dramatically to call it a mere trend.

Search ends at the answer

As of early 2026, ChatGPT's daily prompts surpassed 2.5 billion. In Korea too, in certain categories, the habit of users opening ChatGPT before Google has taken hold. The problem is that the answer is completed within the body text. The decision is finished without the user ever coming to our site. According to Semrush's ChatGPT clickstream analysis, referral traffic via ChatGPT grew 206% in a year, but in most cases, even when a brand is mentioned in the answer, it doesn't lead to a click.

Your current tools can't see this change

Google Search Console and rank trackers read only link clicks and SERP rankings. Even if our citation spot within AI answers has been losing to competitors for months, these tools register no change at all. This is a picture we frequently encounter in the first diagnosis. Traffic stays flat while revenue drops, and when you dig into the cause, the culprit turns out to be a citation spot pushed out of AI answers. It's a signal that stays invisible to the very end unless you measure it separately.

How do AEO and GEO differ from SEO?

You keep the SEO foundation and add a new layer of citation optimization on top of it. AI answer engines pull in web-indexed pages as sources. So if the SEO foundation is shaky, AEO has no stage to even begin on. The table below lets you see where the three differ across five items, including the unit of measurement and the measurement tools.

The order is set too. Without an SEO foundation, AI has no reason to use our pages as sources in the first place, so we firm up the base and then build citation optimization on top of it.

Four things brands should do now

These are the items PION checks in order when first taking on a client.

1. Measure the exposure baseline first. Run dozens of core category prompts on ChatGPT, Perplexity, and Gemini, and record where we appear and where we disappear. It's a step most brands skip, even though a single measurement reveals it.
2. Rebuild content into an answer format. AI likes assertive facts, concrete numbers, and question-and-answer formats. Pages filled with abstract copy don't get picked. Put the conclusion first in the opening sentence of each H2 and H3, and mark up FAQs with schema.org's FAQPage structure.
3. Tidy up entities and schema. Writing out Organization, Product, FAQPage, and HowTo types keeps brand naming consistent when AI cites us. If basic information like company name, service name, and founding year contradicts itself across your site, social media, and press coverage, this effect is cut in half.
4. Take apart competitors' citation spots. By reverse-scanning which sentences get them carried into answers, along with those pages' heading structure, external citations, and schema, you can see almost exactly the shape of the assets we need to reinforce.

This is where diagnosis and design end. You confirm the present through measurement, get ready to be cited through content and schema, and set priorities through competitor analysis. PION carries out this work on your behalf.

Frequently asked questions

What are AEO and GEO?

They are marketing work that ensures your brand and content are cited accurately when AI answer engines produce responses. AEO (Answer Engine Optimization) deals with body-text citations in answer engines like ChatGPT and Perplexity, while GEO (Generative Engine Optimization) extends that scope to recommendation lists, comparison cards, and multimodal output.

What is the difference between AEO and GEO?

The scope of what's measured differs. AEO measures citations within the answer's body text, while GEO looks at all AI-generated output, including recommendations, comparisons, voice, and image captions. In the Korean marketing field, the two terms are used almost interchangeably.

Do AEO and GEO replace SEO?

They don't replace it; SEO is the foundation that makes pages discoverable, and AEO is the citation-optimization layer laid on top of it. Because AI answer engines use web-indexed pages as sources, if the SEO foundation is weak, AEO has no starting point at all.

What should I do first to get started with AEO?

Measuring the exposure baseline with the category's core prompts comes first. If you run prompts on ChatGPT, Perplexity, and Gemini and record your brand's citation frequency, you'll get objective data on which areas we're currently invisible in.

Do AEO and GEO work in the Korean market too?

Yes. In Korea, the search environment is rapidly shifting from Naver's single platform to multiple AI platforms, and in some categories users open ChatGPT before Google or Naver. PION handles measurement and content design for Korean-language prompts.