What are AEO and GEO? How they differ from SEO and where to start

AEO and GEO are the work of making sure AI cites your brand accurately within the answers it generates. AEO (Answer Engine Optimization) is about getting your content cited in the body text that answer engines such as ChatGPT and Perplexity produce, while GEO (Generative Engine Optimization) extends the scope to recommendation lists, comparison cards, voice answers, and image captions. The 2026 guides from Search Engine Land and Semrush also use the two terms almost as a pair. That is because the goal is the same: getting your brand in as an ingredient when AI assembles an answer.

The definitions of AEO and GEO

AEO and GEO differ in what they cover and in the metrics used to gauge results. openads.co.kr's 2026 AEO/GEO guide also explains the two separately. PION distinguishes between them when measuring, and runs the actual work as a single process.

AEO: getting cited in the answer body

AEO targets the response body of AI answer engines that write answers directly, such as ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. The unit of measurement is the sentence the user actually enters: the prompt. Instead of a ranking table, you count "how many times, and in what position, we appear within the answer."

PION measures the three questions below directly for each client to build baseline data.

• In the answers to which prompts does our brand appear?
• In what sentence and what phrasing is it cited?
• In what position is it mentioned within that answer? (The first and last sentences of an answer do not carry the same weight.)

GEO: extending beyond the answer

GEO also covers output beyond the body text. This includes recommendation lists, comparison cards, purchase recommendations, image and video captions, and voice assistant responses. nerdboard.kr's AEO/GEO optimization guide defines GEO as "the state in which brand information is accurately carried in AI-generated answers."

In practice, the only difference between AEO and GEO is how far you set the measurement scope. Because the goal of "increasing our exposure in AI answers" is the same, Korean marketers also use the two words interchangeably.

Why should you prepare for AEO and GEO now?

Instead of ten blue links, people read a single paragraph summarized by ChatGPT, Perplexity, or Gemini and decide right away. The place where people first meet a brand has moved from the search results page to the body of an AI answer.

Search ends at the answer

As of early 2026, ChatGPT's daily prompts had passed 2.5 billion. In Korea too, in some categories users open ChatGPT before Google. The AI answer is complete in itself, and users finish their decision without ever coming to your site. According to Semrush's ChatGPT clickstream analysis, traffic via ChatGPT grew 206% in a year, but even when a brand is mentioned in an answer, most of those mentions do not lead to a click.

A change existing search tools do not catch

Google Search Console and rank trackers only count link clicks and SERP rankings. Even if your citations in AI answers have been losing out to competitors for months, these tools show no change at all. A case we often see in first diagnoses is a brand whose traffic is flat but whose revenue alone has dropped, and sometimes the cause is citations pushed out of AI answers. It is a signal that stays invisible to the end unless you measure it separately.

How do AEO and GEO differ from SEO?

AEO and GEO add one more layer, citation optimization, on top of SEO. AI answer engines use web-indexed pages as sources, so if the SEO foundation is weak, there are no pages to be cited through AEO either.

The order of adoption is to firm up the SEO foundation first and then build citation optimization on top of it.

What brands should check when starting AEO and GEO

When PION first takes on a client, it checks these items in this order.

1. Measure the exposure baseline. Enter dozens of key prompts for your category directly into ChatGPT, Gemini, Google AI Overviews, and AI Mode, then record where you appear and where you are missing. A single measurement reveals this, yet most brands skip this step.
2. Rework content into an answer format. AI answers readily cite definitive facts, numbers, and sentences in a question-and-answer format, while pages filled with abstract copy do not get cited. Put the conclusion in the first sentence of each H2 and H3, and mark up FAQs with schema.org's FAQPage type.
3. Tidy up entities and schema. If you write out Organization, Product, FAQPage, and HowTo types, AI names you consistently when it cites you. If basic information such as company name, service name, and founding year conflicts across your site, social media, and press coverage, this effect is cut in half.
4. Analyze the pages where competitors are cited. By tracing back which sentences get competitors into answers, along with those pages' heading structure, external citations, and schema, you can see the shape of the content you need to strengthen.

PION runs the diagnosis, design, and execution of these four steps as a managed GEO service, and sends proposed fixes after reviewing the basic information and schema on your site.