Search Engine Optimization (SEO), AEO & GEO – What’s the Difference?

TL;DR

Search is changing, but SEO isn’t going away.

SEO (Search Engine Optimization) helps businesses earn visibility in traditional search results.

AEO (Answer Engine Optimization) focuses on making content easier for search engines and AI platforms to understand and use when answering specific questions.

GEO (Generative Engine Optimization) focuses more specifically on visibility within generative AI experiences, where platforms such as ChatGPT, Google Gemini and AI Overviews, Microsoft Copilot, and Perplexity may reference, cite, summarize, or recommend information from multiple sources.

There is overlap among all three. Rather than thinking of AEO and GEO as replacements for SEO, businesses should consider them part of the continued evolution of search.

At Green Group Studio, we’re helping clients evolve their SEO and AEO strategies for a world where being discovered increasingly means appearing not only in a list of search results, but within the answers themselves.

Search Is Changing

For more than two decades, the basic search experience was familiar.

Someone typed a question or keyword into Google or another search engine. The search engine returned a list of websites. Businesses competed to appear as high as possible on that list.
That experience still exists, and traditional search remains extremely important. But it is no longer the only way people find information online.

Search engines now provide increasingly sophisticated direct answers. Google offers AI Overviews and AI Mode. Microsoft integrates generative AI into Bing and Copilot. Platforms such as ChatGPT and Perplexity allow users to ask complex questions conversationally and receive synthesized answers rather than simply a page of links.

Instead of searching:

“web design company West Palm Beach”

a potential customer might ask an AI platform:

“What should I look for when hiring a web design company in West Palm Beach for a professional services firm, and which companies should I consider?”

That is a fundamentally different search experience.

It has also produced a growing collection of marketing acronyms, including SEO, AEO and GEO. So what do they actually mean?

What Is SEO?

SEO stands for Search Engine Optimization.

SEO is the process of improving a website’s visibility within organic search results.

Traditional SEO encompasses a broad range of disciplines, including:

• Keyword and search-intent research
• Website architecture
• On-page optimization
• Technical SEO
• Website performance
• Internal linking
• Content development
• Structured data
• Local SEO
• Backlinks and authority development
• User experience
• Crawlability and indexing

The objective is to help search engines understand what a website and its individual pages are about while establishing their relevance, usefulness and authority for particular searches.

If someone searches Google for “medical website design company,” for example, SEO can help a qualified agency’s website appear prominently within the organic results.
That basic concept remains extremely important.

Google has stated that its established SEO best practices remain relevant to generative AI search experiences. So despite the occasional headline declaring that “SEO is dead,” the reality is almost the opposite.

SEO is evolving.

What Is AEO?

AEO stands for Answer Engine Optimization.

The term actually predates the current generative AI boom.

Search engines have been evolving from simply providing links toward providing answers for years through features such as:

• Featured snippets
• Knowledge panels
• People Also Ask results
• Voice assistants
• Direct answers
• Rich search results

AEO focuses on structuring and presenting information so search and AI systems can easily understand the question being addressed and identify a useful answer.

For example, a page discussing website accessibility might include a section titled:

“Does My Business Website Need to Be ADA Compliant?”

followed immediately by a concise, useful answer before expanding into greater detail.

That structure helps humans scan the page, but it can also make the relationship between the question and answer easier for machines to understand.

AEO commonly emphasizes clear headings, concise explanations, FAQs, logical content structure, appropriate structured data, and content that directly satisfies a user’s intent.
However, AEO should not be confused with simply stuffing dozens of questions onto a page.

The quality and usefulness of the answer still matter.

What Is GEO?

GEO stands for Generative Engine Optimization.

GEO is the newest of the three terms and is specifically associated with generative AI search experiences.

Rather than simply asking:

“Can my website rank for this keyword?”

GEO introduces another question:

“Can an AI system understand, trust, retrieve, cite, or recommend information about my company when generating an answer?”

That distinction matters because generative systems can construct responses using information retrieved from multiple sources.

Your website may be one of those sources. So could an industry publication, directory, government website, review platform, news article, professional association, or another authoritative website discussing your company or subject matter.

Microsoft has already begun providing publishers with AI citation information through Bing Webmaster Tools, providing greater insight into how website content is referenced across supported AI-generated experiences.

This provides a glimpse into what the next generation of search analytics may look like.
Businesses may increasingly care not only about:

“Where do we rank?”

but also:

“Where are we being cited, referenced, and recommended?”

SEO vs. AEO vs. GEO

The easiest way to understand the difference is through their primary objectives.

The boundaries are not absolute.

A well-optimized article could simultaneously rank in Google, appear in a featured snippet, contribute information to an AI-generated search experience, and be cited by an AI platform.

That is why we view SEO, AEO and GEO as interconnected disciplines rather than completely separate marketing channels.

A Real-World Example

Consider a financial advisory firm publishing an article about choosing a financial advisor.

A traditional SEO strategy might identify relevant searches, develop comprehensive content around those topics, optimize titles and headings, strengthen internal links, improve technical performance, and build authority around the page and website.

AEO would additionally consider whether the page clearly answers specific questions people ask, such as:

“What should I ask before hiring a financial advisor?”

The page could provide a direct answer followed by additional context.

GEO expands the strategy again.

Does the content demonstrate genuine expertise? Are important claims supported? Is the company clearly identified? Is its expertise consistent across the website and other reputable online sources? Can AI search crawlers access the content? Is the information organized clearly enough to be retrieved and accurately interpreted?

These are not three completely independent optimization projects.

They are layers of an increasingly sophisticated search strategy.

What Does AI Search Optimization Actually Involve?

There is no magic switch that makes a company appear in ChatGPT, Gemini, Copilot, Perplexity, or Google AI Overviews.
Businesses should be cautious of anyone claiming otherwise.

Many of the fundamentals that can improve AI search visibility are also sound SEO and content practices.

Create Original, Useful Content

AI has made producing generic content extraordinarily easy.

That makes genuinely useful content more valuable, not less.

Businesses should publish material that demonstrates actual expertise, experience, research, examples, data, analysis, or insight rather than simply rewriting information that already exists on hundreds of other websites.

Make Your Content Easy to Understand

Clear page titles, descriptive headings, logical information architecture, concise answers, tables, lists, FAQs, and well-organized supporting information help users understand a page.
They also provide machines with clearer context.

Establish Clear Entities

AI systems need to understand who or what a page is discussing.

A business should consistently communicate its name, services, locations, people, expertise, products, and relationships across its website and broader digital presence.
Ambiguity makes machine interpretation more difficult.

Strengthen Authority Beyond Your Own Website

What a company says about itself is only part of its online identity.

Mentions, citations, backlinks, reviews, directories, associations, media coverage, government resources, and other authoritative third-party sources can help establish broader context about a company and its expertise.

This has long mattered to SEO. Generative search makes the concept even more relevant because AI systems may retrieve information from multiple sources when constructing an answer.

Support Claims With Evidence

Statistics, research, examples, references, case studies, and primary sources can make content substantially more useful.

Whenever possible, businesses should demonstrate why something is true rather than simply asserting it.

Keep Information Accurate and Current

Outdated information creates problems for users, search engines, and generative systems alike.

Important evergreen content should be periodically reviewed and updated as technology, industry practices, products, services, and other circumstances change.

Make Sure Search and AI Crawlers Can Access Your Website

Crawler accessibility is another consideration.

OpenAI provides publishers with controls for OAI-SearchBot, which is used for ChatGPT search. Perplexity similarly identifies PerplexityBot as its search crawler.

Robots.txt configurations, security systems, CDN rules, and other technical controls should therefore be reviewed to make sure a website is not unintentionally blocking legitimate search or AI discovery systems.

What About Schema?

Structured data, commonly called schema markup, remains useful when it accurately describes content and is appropriate for the page.

However, businesses should be skeptical of claims that adding some special “AI schema” will suddenly cause a website to appear in generative AI results.

Google states that there are no special schema requirements for appearing within its generative AI search features.

Structured data remains valuable because it can help machines understand information. It is not a shortcut around producing a technically sound, authoritative, and useful website.

What About llms.txt?

Another emerging concept is llms.txt, a proposed standard intended to make website information easier for large language models to access and interpret.

It is an interesting development, but its importance should not be overstated.

At this point, businesses should view llms.txt as experimental rather than an established AI search ranking factor.

Google has specifically indicated that special AI text files such as llms.txt are not required for its generative search features and recommends concentrating on established SEO fundamentals.

That does not mean emerging technologies and standards should automatically be ignored.

It means they should be evaluated based on evidence rather than hype.

At Green Group Studio, that distinction is important to us.

Related: What Is an llms.txt File, and Does Your Website Need One?

Is SEO Being Replaced by AEO and GEO?

No.

The better way to think about the change is:

SEO is evolving to accommodate a broader search ecosystem.

Google considers optimization for its generative search experiences fundamentally connected to SEO.

At the same time, terminology such as AEO and GEO can still be useful because it helps marketers identify specific objectives within that larger discipline.

So the terminology may differ from platform to platform, but the direction is increasingly clear.

Search visibility is no longer limited to a page of blue links.

How Do You Measure AEO and GEO?

Measurement is one of the areas developing most rapidly.

Traditional SEO metrics still matter:

• Organic search impressions
• Rankings
• Organic traffic
• Engagement
• Leads
• Conversions
• Revenue

But AI search introduces additional signals.

Businesses can increasingly examine AI referral traffic, citations, referenced pages, AI search visibility, and the questions or topics for which their businesses are surfaced.

Microsoft, for example, has introduced AI citation reporting through Bing Webmaster Tools.

OpenAI also provides referral information on links originating from ChatGPT search, allowing website owners to identify some ChatGPT referral traffic within analytics platforms.

These measurement capabilities are still evolving, but AI search is becoming increasingly measurable.

What Should Businesses Be Doing Right Now?

Businesses do not need to abandon everything they have been doing for SEO and start over.

They should build upon it.

That means maintaining a strong technical SEO foundation while improving the depth, clarity, originality, credibility, and structure of their content.

It means understanding what customers actually ask rather than optimizing exclusively around short keyword phrases.

It means establishing consistent information about the organization across the web.

And increasingly, it means considering whether AI platforms can discover, understand, retrieve, and accurately represent that information.

Most importantly, businesses should resist the temptation to chase every new AI optimization tactic that appears.

The objective is not to optimize for an acronym.

The objective is to make your business easier to discover, understand, trust, and choose wherever your customers are searching.

Helping Businesses Evolve With Search

Green Group Studio has been helping businesses, government organizations, nonprofits, and institutions navigate changes in websites, search technology, and digital marketing for more than 18 years.

Generative AI represents another significant evolution.

Our approach combines established Search Engine Optimization (SEO) principles with Answer Engine Optimization (AEO) and emerging GEO strategies to help clients improve their visibility across both traditional search engines and the growing ecosystem of AI-driven discovery platforms.

That can include evaluating website architecture, content strategy, technical SEO, structured data, entity clarity, crawler accessibility, authority signals, AI search visibility, and other factors influencing how a business is discovered online.

We don’t believe AI eliminates the need for good SEO.

We believe it raises the standard for what good SEO needs to accomplish.

Search is evolving.

We’re helping our clients evolve with it.

Frequently Asked Questions

What is the difference between SEO and AEO?

SEO, or Search Engine Optimization, is the broader practice of improving visibility within search engines. AEO, or Answer Engine Optimization, focuses specifically on making information easier for search and AI systems to identify and present when answering questions.

What is the difference between AEO and GEO?

AEO focuses primarily on making content useful for answering specific questions, while GEO focuses on visibility within generative AI responses. In practice, there is considerable overlap between the two.

Is GEO replacing SEO?

No. GEO is better understood as an extension of modern search optimization. Established SEO practices remain foundational to organic search visibility and Google’s generative search experiences.

Can you optimize a website for ChatGPT?

There is no guaranteed way to make ChatGPT recommend a particular website or business. However, businesses can improve their technical accessibility, content quality, authority, clarity, and overall digital presence. OpenAI also provides crawler controls that allow publishers to make content available for ChatGPT search.

Does schema help with AI search?

Structured data can help machines understand information on a webpage, but there is no special schema markup that guarantees inclusion within AI-generated answers. Google states that no special schema is required for its generative AI search features.

Do I need an llms.txt file?

Not necessarily. llms.txt is an emerging proposal rather than an established requirement for AI search visibility. Businesses should prioritize established SEO, crawlability, content quality, and authority before treating experimental technologies as essential.

How can my business prepare for AI search?

Start with a technically sound website and strong SEO foundation. Create original and authoritative content, answer your customers’ real questions, make important information easy to understand, maintain accurate business information across the web, establish credible third-party authority, and ensure legitimate search and AI crawlers can access your content.

Is Your Business Ready for the Evolution of Search?

The way people search is changing. Your SEO strategy should be changing with it.

Green Group Studio can evaluate your current search visibility, website structure, content, and AEO readiness to identify opportunities across traditional and AI-powered search.