SEO, AEO and GEO: what should AI search optimization start with?

Navirang Published August 13, 2026 AEOGEOSEOBasics

SHORT ANSWER

SEO optimizes for a page being found in search results, AEO for being selected as a question's direct answer, and GEO for a brand being used and cited when generative AI builds an answer. The AEO and GEO definitions are not settled across the industry and overlap heavily, so Navirang works from a different test: can AI find, understand and cite this company's information accurately?

What is SEO?

SEO (search engine optimization) is the work of getting a page found and clicked in search results.

It has three axes: the technical state that lets a crawler read and index the page (crawling, indexing, speed, mobile), content that matches the search intent, and the internal and external links that support the document’s credibility. Performance is measured in rank, click-through rate and organic traffic. It has nearly thirty years of accumulated methodology behind it, and it is the only one of the three terms with no dispute about its definition.

What is AEO?

AEO (answer engine optimization) is the work of raising the chance of being selected as the direct answer to a question. The scope the term points at has widened over time.

The traditional definition — work aimed at the direct-answer areas of a search results page: featured snippets, People Also Ask, voice search responses.
The widened definition — including being cited in environments where the system itself is an answer engine: ChatGPT, Perplexity, Gemini, Copilot. When people say AEO today they usually mean this.

The two definitions share the same tools: a heading that states the question as it is, a direct answer that finishes in the first paragraph, forms that are easy to excerpt such as definitions, tables and lists, and entity information that binds the brand into a single thing. The AEO Navirang uses is the widened definition, for reasons set out below in are AEO and GEO the same concept.

What is GEO?

GEO (generative engine optimization) is the work of raising the chance that a brand and its content get found, understood, trusted and cited while generative AI is building an answer. The term itself was proposed in a 2023 academic paper, and the targets are generative engines such as ChatGPT, Gemini, Perplexity, Claude and Copilot.

In practice GEO’s elements come down to five:

Discoverability — is the document caught by the engine’s collection path (crawler, index, search partnership)?
Content clarity — does one paragraph, lifted on its own, complete the fact?
Entity consistency — are the company name, address and service description the same on every channel?
Consistency with external sources — do your own claims agree with independent sources (press, company databases, industry material)?
Technical accessibility — does the body text exist without JavaScript?

One thing to be clear about. No method exists that can say “do this and you will definitely appear in a given AI.” Answer generation is probabilistic, and each engine has a different collection path and refresh cycle. Advice that offers such a guarantee should be asked for its basis first.

SEO, AEO and GEO at a glance

	SEO	AEO	GEO
Purpose	Being found and clicked in search results	Being selected as a question’s direct answer	Being used and cited inside a generative answer
Main environment	Google and Naver search results	Featured snippets, voice search, answer engines	ChatGPT, Gemini, Perplexity, Copilot and others
Unit of optimization	Page and keyword	Question and answer paragraph	Entity, fact and source
Main work	Technical SEO, content, links	Question-shaped headings, direct-answer structure, FAQ	Entity consistency, trust signals, citable facts
Performance metric	Rank, click-through rate, traffic	Presence in the answer area	Mention, citation, citation share

As the table shows, the three are not stages but layers. SEO puts the document into the index, AEO makes the document a candidate for the answer, and GEO makes the brand the material the answer is built from.

Are AEO and GEO the same concept?

It is hard to call them entirely the same and equally hard to call them entirely separate. The ambiguity comes from the two terms being born in different places and used differently now.

Their origins differ. AEO started as a practitioner term aimed at a search engine’s answer areas (snippets, voice search); GEO was proposed in a 2023 academic paper targeting generative engines.
Their current use overlaps. As the centre of gravity for answer engines moved to generative AI, both names came to be used for the same goal — getting inside an answer AI has written. Write the two practical task lists side by side and most items are identical.
Parts still do not overlap. Featured snippets and voice search, the traditional AEO territory, are rarely discussed in GEO; and GEO’s academic definition (analysing how a generative model synthesises an answer) is broader than practitioner AEO.

For reference, Google’s official position is a third perspective. Google addresses both terms directly in its documentation and says that optimizing for generative AI search is still SEO. The article checking that document against Navirang’s own practice is AEO and GEO verified against Google’s official guide.

Navirang’s own view is this. There is little practical gain in arguing about terminology. The test we work from is one question: can AI find, understand and use this company’s information accurately in an answer? Whether the work of answering that question is called AEO or GEO, the items to check and the items to fix are the same.

Where does AI search optimization start?

There is an order. The seven steps below are the actual order of our audit.

Confirm crawling and indexing. robots.txt, sitemap, canonical, rendering method, HTTP status. A document not in the index is not a candidate for any answer engine. The order of checks is set out in why ChatGPT does not mention us.
Confirm AI search crawler access. Per OpenAI’s official documentation, GPTBot (training) and OAI-SearchBot (search) are separate bots controlled independently in robots.txt. The one involved in answer citation is the search bot. The bot list and configuration examples are in the AI crawler robots.txt guide.
Content structured to answer immediately. Write in the order question heading → one-to-three-sentence direct answer → detail → tables and examples → sources. Why that structure produces citation is covered in how articles that AI cites are different.
Secure entity consistency. When the same company appears under different names per channel, AI sees separate entities. In our own case, Navirang’s notation was split across 나비랑, 주식회사 나비랑, ㈜나비랑 and NAVIRANG; we bound them together in the Organization schema’s alternateName and connected the channels we operate through sameAs.
Structured data. Only what agrees with the screen — Organization, Article, BreadcrumbList. Schema is a supporting measure, not a visibility device. For the order of adoption see where to start with structured data.
External trust signals. Asserting something on your own site is not enough. Trust rises when the same fact is confirmable from mutually independent sources — press coverage, client cases, company databases, industry material.
Measurement. Record mention and citation per question, the differences between platforms, and share against competitors. Start without measuring and there is no basis for judging whether anything improved.

What to check when choosing an AEO or GEO agency

It comes down to one thing — do they publish their measurement conditions? Which question set, repeated how many times, whether mention and citation are distinguished, whether you get a competitor comparison and before-and-after data: that is the fork in the road. The item-by-item checklist and how to judge each sales phrase are in the agency selection guide; how to verify the denominator behind a figure, and six questions to put to an agency verbatim, are in the performance figure verification guide. You are welcome to put the same questions to Navirang, and we will confirm your own current state with a free AEO audit.

Primary sources referenced

Google Search Central — Optimizing your website for AI-powered features — the official Google document that addresses the terms AEO and GEO directly
OpenAI — official crawler documentation — the distinction between GPTBot (training) and OAI-SearchBot (search)
Aggarwal et al., “GEO: Generative Engine Optimization” (arXiv, 2023) — the academic paper that proposed the term GEO
schema.org — the structured data specification

Frequently asked questions

Q If we do SEO well, does AEO follow automatically?

A Not automatically. A site with good SEO has the preconditions — indexing, speed, crawler access — so AEO starts faster, but being selected as the answer needs additional work: question-shaped headings, direct-answer paragraph structure, sentences that stay complete when cut. Even a page ranked first will not offer AI a paragraph to cite if its conclusion is buried at the end.

Q If we do SEO well, does GEO follow automatically?

A No. Indexing is only a precondition. For generative AI to use a brand in an answer, beyond indexing you need citable factual sentences, entity information that agrees across channels, and independent external sources backing your own claims. None of those three appear on a traditional SEO checklist.

Q Are AEO and GEO the same thing?

A The execution overlaps for the most part, but they are not the same word. AEO began as a practitioner term for the direct-answer areas of a search engine — featured snippets, voice search — and widened to answer engines generally; GEO was proposed in a 2023 academic paper and targets generative engines. Today both names are commonly used for the same goal: getting inside an answer AI has written.

Q Is optimizing for ChatGPT search also AEO?

A It falls under the widened sense of AEO. ChatGPT search takes a question, collects web documents through a search crawler (OAI-SearchBot), and synthesises an answer. To someone using the traditional definition, which covers only a search engine's snippet area, it might be classified as GEO instead. Whichever name is used, the work is the same.

Q Does GEO replace SEO?

A It does not, because a large share of generative answers is built on top of a search index. Google's AI Overviews choose their supporting documents with Google's own search ranking systems, and ChatGPT search uses a web index too. A document that is not indexed never becomes a candidate for a generative answer, so SEO is GEO's foundation.

Q Does adding structured data improve AI visibility?

A It is not guaranteed. Google's official documentation states that structured data is not required for generative AI search. It does help with rich results and it pins facts such as company name, address and services into a machine-readable form, so it is valid as a supporting measure. An agency claiming schema alone raises visibility should be filtered out.

Q Do we really need llms.txt?

A It is not required. Google's official documentation states that it does not use llms.txt in search. Keeping it as an optional file for other systems is fine, and it costs almost nothing, so there is no loss in having one. The full basis for the judgement is set out in a separate article.

Q How is the effect of AI search optimization measured?

A You settle a core question set, put it to several answer engines repeatedly, and record brand mentions, source citations, and citation share against competitors. It does not collapse into a single number the way a search ranking does, so the per-question records have to accumulate as a time series — and a measurement that does not publish its denominator (questions × engines) cannot be verified.

Q What should we check when choosing an AEO agency?

A Whether they publish their measurement conditions is the core of it. Check which engines they measure with which question set, whether they count mentions only or citations as well, whether they give you a share against competitors, and whether they keep the before-and-after data. Anywhere promising a ranking increase or guaranteed visibility should be asked for the basis of that promise first.

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