SEO vs AEO vs GEO: What's the Difference and Where to Start

SEO is optimizing to appear and rank in search engines. AEO is organizing content to be the direct answer that search engines and assistants display. GEO is working to be cited or recommended by generative AI, such as ChatGPT, Perplexity and Google's AI Overviews. All three share the same foundation, and Google states that optimizing for generative AI in Search is still SEO. Start there.

Quick summary

SEO aims for position in results and clicks. It is the foundation of the other two: without a crawlable, indexable, useful page, nothing works.
AEO (Answer Engine Optimization) aims to be the short, direct answer, as in search highlights, assistants and summaries.
GEO (Generative Engine Optimization) aims to be a cited source, or a mentioned brand, in the answer an AI assembles from several sources.
Google says, in a guide updated in July 2026, that optimizing for generative AI search is SEO, and that no special files or markup are needed.
Outside Google, each platform has its own crawlers and access rules, and no one knows for sure how AI systems choose the sources they cite.
A sensible order: technical foundation, content built around search intent, structure that answers, trust signals and only then measuring citations.

How to read this: if you own a business or are just starting out, read the three definitions, the table and the section "Where to start". If you already do SEO, go to the sections on what Google says, what changes in practice, measurement and myths. The technical terms are explained in the SEO, AEO and GEO glossary.

What is SEO?

SEO (Search Engine Optimization) is the set of practices that help your pages get found, understood and well positioned in search engine results such as Google's. The unit of work is the page, and success is measured in position, impressions, clicks and conversions. If you are starting out, you will find the step-by-step in the complete SEO guide.

SEO has three fronts that do not change with AI: technical (the search engine can crawl and index), content (the page answers the search intent well) and authority (other trustworthy sources recognize your site, including through links). Google describes this path in three stages, crawling, indexing and serving results, and warns that indexing is not guaranteed.

What is AEO?

AEO (Answer Engine Optimization) is the practice of structuring content so it is used as the direct answer to a question. The idea is that the search engine, voice assistant or AI summary can lift a correct answer from your page without losing its meaning. The details are in AEO: answer engine optimization.

In practice, AEO calls for a 40 to 60 word answer right under a question-style heading, lists and tables when the subject requires them, and an FAQ with real questions. The unit of work becomes the question and the passage that answers it. It is an industry term: Google does not define it as a separate discipline.

In plain English: SEO is getting a good storefront on the street. AEO is training the salesperson to answer the customer's question in one clear sentence. GEO is making sure that when someone asks a friend "where would you buy this?", your name is one of those remembered.

What is GEO?

GEO (Generative Engine Optimization) is the practice of increasing the chance that your content or brand appears, cited or mentioned, in AI-generated answers. These answers combine several sources, and the user may not even click. See the deep dive in generative engine optimization (GEO).

The term gained traction with the academic paper GEO: Generative Engine Optimization, published in November 2023 and accepted at KDD 2024. The authors propose a benchmark, GEO-bench, and report that certain content-editing techniques can increase visibility in generative engine responses by up to 40% in that test environment. One caveat: this is a research result in a controlled environment, not a measure of what happens in ChatGPT or Google in production.

GEO's unit of work is less the page and more the passage, the entity (your brand, your product, your author) and mentions on other sources. Success is measured in citations, mentions and share of answers for a set of questions, something we will cover below.

What is the difference between SEO, AEO and GEO in practice?

The difference is in the goal and the measurement, not in the technical foundation. The table summarizes it. It simplifies: in reality, the same page can serve all three goals at once.

	SEO	AEO	GEO
Goal	Rank and receive clicks	Be the direct answer	Be cited or recommended by AI
Where it shows up	Search engine results list	Highlights, assistants, answer summaries	ChatGPT, Perplexity, AI Overviews, AI Mode answers
Unit of work	Page	Question and the passage that answers it	Passage, entity and external mentions
Success signal	Position, impressions, clicks	Occupying the answer or highlight	Citation, mention, share of answers
How to measure	Search Console, rank tools	Manual queries and Search Console	Prompt tests, citation monitoring
Dependency	Crawlable and indexable	Same, plus structure that answers	Same, plus authority and external mentions
Guarantee	None	None	None

For SEO professionals: the "Dependency" row is the most important. On Google, the requirement to become a supporting link in AI Overviews and AI Mode is to be indexed and snippet-eligible, per the documentation on AI features in Search. In other words, GEO on Google is a subset of SEO. What changes are the measurement layers and the work outside your domain (mentions, reviews, presence on sources AI systems consult).

What does Google say about AEO and GEO?

Google says that, from Search's point of view, optimizing for generative AI search is optimizing for the search experience and is therefore still SEO. The statement is in the guide to optimizing for generative AI features, updated in July 2026, which also advises against a series of tactics that have become fashionable.

Among them, according to the guide: you do not need to create new machine-readable files, text files for AI or Markdown to appear on Google (the reference is the llms.txt idea); you do not need to break content into tiny chunks; and chasing inauthentic "mentions" around the web does not help as much as it seems. The AI features documentation adds that there are no additional requirements or special optimizations to appear in AI Overviews and AI Mode, that both may use query fan-out (several related searches per subtopic) and that the traffic shows up in the web search performance data in Search Console. To understand fan-out, see query fan-out: why one question becomes many searches.

That holds for Google. For ChatGPT, Perplexity and other platforms, each one's own rules apply, and Google does not control them.

So are AEO and GEO just marketing?

Partly yes and partly no. They are industry labels, and Google does not treat them as separate disciplines. But they describe real goals and metrics that traditional SEO did not cover well: being the answer and being remembered in a conversation with AI, where there is not always a click.

What no one knows is how each AI decides which sources to cite. Vendors do not publish the criteria, answers change between runs and vary by user, location and history. There is academic research and market observation, but no confirmed rule. That is why this guide talks about well-founded practices (useful, structured, trustworthy and accessible content), not formulas. If someone sells "the secret to appearing in ChatGPT", be wary. The post 10 common GEO and AEO myths and mistakes lists the most frequent ones.

What do the three have in common?

Almost everything that matters is shared. Before investing in any new acronym, confirm the foundation:

Crawlable and indexable pages. Without that, Google does not show the page and most AI platforms cannot find it either.
Useful, original content, with data, examples and a point of view that goes beyond what everyone has already written.
Trust signals: clear authorship, cited sources, up-to-date information. Google sums this up in the E-E-A-T concept; see E-E-A-T in the age of AI.
Search intent met. The page that answers what the person really wants beats the one that only repeats the keyword.
A good user experience, on mobile and desktop.
Reputation outside your site: mentions, reviews and links from relevant sources.

What changes in practice?

The format of the content, the measurement and the set of platforms you need to consider all change. The changes are of emphasis, not of fundamentals.

Format: direct answers at the start of each section, short definitions, tables, lists and FAQs, so a passage makes sense outside the page. The article content structure that LLMs can cite shows how.
Long, conversational questions. People describe whole situations to an AI. See how people search in AI.
Crawler access. OpenAI states that sites that block OAI-SearchBot do not appear in ChatGPT search answers, and that GPTBot, used for training, is independent. Perplexity says PerplexityBot is for search indexing and not for training models. Details in OpenAI's crawler documentation and Perplexity's bot documentation. Decide deliberately what to allow in robots.txt, as robots.txt and AI crawlers explains.
Zero-click. Part of the value stops being the click and becomes brand recall. The post zero-click and AI Overviews covers the effect on the numbers.
Entities. Brand, author and product need to be well described and consistent across the web, which entities and semantic SEO and schema markup for AI Search help organize.

In plain English: when you search on Google, you see a list and choose. When you ask an AI, it chooses for you and hands over a finished answer. If you are not on that answer's source list, you can be forgotten even while ranking well.

Where should you start?

Start with the SEO foundation and climb the steps in the order below. Each step makes the next one more effective, and the first ones serve search engines and AI alike. The GEO, AEO and SEO checklist has the 40 items in detail.

Make sure the site is crawlable and indexable. Review robots.txt, noindex, sitemap and canonical. Confirm in Google Search Console that your main pages are indexed.
Understand the search intent of your key pages and align each page to one intent.
Rewrite the main pages answer-first: a direct-answer paragraph, question-style subheadings, a comparison table when it makes sense and a real FAQ.
Give readers reasons to trust you: an identified author, an update date, sources, original data when possible.
Describe your brand consistently (site, profiles, Organization schema) so machines and people can identify who you are.
Define access for the AI crawlers you want to allow, and review it when the rules change.
Measure before optimizing: list 10 to 20 questions your customers would ask and record how your brand shows up today.

For anyone starting from zero, the advice is to concentrate energy on steps 1 to 4. Steps 5 to 7 pay off more once the foundation is firm.

Practical example: scheduling software for salons

Hypothetical example: a company that makes appointment scheduling software for beauty salons has a page about "salon scheduling software". It can serve all three goals with a single structure:

For SEO: the page is indexable, has a title and H1 with the main term, content that meets the comparison intent and internal links to related pages.
For AEO: right at the start, a 50-word paragraph answers "what is salon scheduling software and who is it for", and there is an FAQ with real questions (text reminders, payments, reports).
For GEO: the page includes a table of selection criteria (online booking, reminders, commissions, reports), honest limits of the product, up-to-date pricing and original data published with a source. The company also takes care of mentions on outside sources, such as reviews and third-party articles.

The point is that the work is the same set of good practices, with different emphasis. None of these actions guarantees a citation, but all of them raise the chance that the page is understood, trusted and useful.

How do you measure SEO, AEO and GEO?

Measure SEO with Search Console and rank tools, and measure AEO and GEO with systematic querying and AI reports. For Google, Search Console includes traffic from AI features in the web search performance data, and in June 2026 Google announced generative AI performance reports in Search Console. Availability may vary by property, so check your dashboard to see what appears. Specialized coverage indicates these reports show impressions in AI features but not clicks; verify in your own account.

Outside Google, there is no equivalent official dashboard. The alternative is to test your list of questions periodically, recording whether the brand appears, at what position in the answer and which sources are cited. The post prompts to test your brand's visibility in AI offers templates, and how to measure AI visibility discusses metrics and attribution. On Contentor, AI Visibility tracks, on the questions you choose, whether ChatGPT cites your brand (ChatGPT only).

For SEO professionals: AI answers vary by run, by account and by location, so a single query measures nothing. Run each question several times, record the date and platform, and compare trends, not isolated points. Treat the result as a sample, not a ranking.

Which myths should you avoid?

The most common myths try to sell a shortcut. The three that come up most:

"I need an llms.txt to appear in AI." Google says you do not need new files to appear in Search. For other platforms, what is known is in llms.txt: is it worth creating?.
"Backlinks don't matter anymore." Links and mentions remain trust signals in the search ecosystem. The relationship to AI citations is indirect and not guaranteed; see do backlinks help you appear in ChatGPT?.
"Splitting the text into tiny pieces makes AI cite you more." Google states there is no requirement to fragment content. Clarity and self-contained sections help, but it is not a trick.

Frequently asked questions

Are SEO, AEO and GEO the same thing?

They share the same foundation but have different goals. SEO aims for position and clicks, AEO aims to be the direct answer and GEO aims to be cited or recommended by AI. Google states that optimizing for generative AI in Search is still SEO. In practice, the same well-made page serves all three.

Is traditional SEO dead because of AI?

There is no reliable evidence of that. Traditional search still exists alongside AI features, and Google itself requires pages to be indexed and snippet-eligible to be cited in AI Overviews and AI Mode. What changes is that part of the answers are delivered without a click, so measurement needs to include mentions and impressions.

Do I need GEO if my business is small?

Not always as a separate discipline. If your local SEO and content foundation is weak, focus on that first. Once the foundation is ready, it is worth testing how AI answers questions in your market and fixing gaps, such as outdated information. For local businesses, GEO for local businesses helps with prioritizing.

How do I show up in ChatGPT?

There is no guarantee and no known formula. What is known: ChatGPT uses OAI-SearchBot for search, so blocking that crawler prevents presence in search answers. Beyond that, useful, structured and trustworthy content, with a well-described brand mentioned on relevant sources, raises the chance. Read how to appear in ChatGPT.

Can I use AI to write content optimized for AEO and GEO?

You can, as long as there is human review, verified data and original value. The problem is not the tool, it is publishing generic text at scale, which Google treats as possible abuse when the goal is to manipulate ranking. Use AI to structure and speed things up, and add the experience, numbers and sources only you have.

Where do I start if I have little time?

Pick the five most important pages on the site. Confirm they are indexed, rewrite the opening of each with the direct answer, add an FAQ with real questions and update dates and data. Only then think about schema, AI crawlers and citation monitoring.

Next step

Now that you know where each acronym fits, apply the GEO, AEO and SEO checklist and go deeper on the technical side in SEO for AI Search. If your bottleneck is producing structured, up-to-date content consistently, generate articles with AI on Contentor and use this guide's structure as your review standard.