What is AEO and how is it different from SEO?

For most of the last 25 years, getting found online meant getting found on Google. Businesses built websites, researched keywords, created content, earned backlinks and spent enormous amounts of time and money trying to move higher in search results. The discipline became known as search engine optimization, or SEO, and for a long time the basic transaction was fairly predictable. Someone searched for something, Google produced a list of results, the user clicked one of those results and the website took over from there.

That transaction is changing. Today, someone can ask ChatGPT to recommend a company, ask Google a complicated question and receive an AI Overview, use Gemini to compare products, ask Claude to research a subject, or use Perplexity to investigate a purchase without working through a traditional page of search results at all.

Google reported in 2025 that AI Overviews had expanded to more than 200 countries and territories and more than 40 languages. By Google I/O that year, the company said AI Overviews had reached more than 1.5 billion users. Those are Google’s own usage figures, rather than independent audience measurements, but they illustrate how quickly AI-generated answers have become part of mainstream search behavior.

The work of becoming visible inside these answers is increasingly referred to as Answer Engine Optimization, or AEO. You’ll also hear Generative Engine Optimization, or GEO, used to describe parts of the same emerging discipline. At Fireball Agency in Kansas City, we’ve spent considerable time examining this transition for our own business and our clients. The simplest way we’ve found to explain the distinction is that SEO is primarily about helping your website get found, while AEO expands the objective by asking whether your business and its expertise can become part of the answer.

What Is Answer Engine Optimization?

Answer Engine Optimization is the practice of making information about your business and its expertise easier for answer-based systems to discover, understand, retrieve and potentially cite or recommend. Those systems include ChatGPT, Google AI Overviews and AI Mode, Gemini, Claude, Perplexity and Microsoft Copilot. They don’t all work the same way, and there isn’t one universal AI ranking algorithm that businesses can optimize against.

What they increasingly have in common is the ability to provide an answer before someone ever reaches your website. Traditional search engines primarily helped people locate information. AI-powered answer engines can retrieve information from multiple sources, synthesize it and present an answer themselves. Sometimes the response includes citations. Sometimes it compares alternatives or recommends organizations, products or services. In other cases, it provides enough information that the user has little reason to click anywhere else.

That distinction is the reason AEO matters. The website remains important, but it is no longer guaranteed to be the place where the customer first encounters the answer. Increasingly, businesses have to consider not only whether their webpages can rank, but whether the broader body of information surrounding their organization makes them understandable and relevant to the systems constructing those answers.

The Numbers Behind the Change

The shift toward answer-based search isn’t theoretical anymore. Pew Research Center analyzed 68,879 Google searches performed by 900 U.S. adults and found a substantial difference in user behavior when an AI-generated summary appeared. Users clicked a traditional search result on 15% of visits when an AI summary was absent. When an AI summary appeared, traditional-result clicks fell to 8%. Users clicked one of the sources contained within the AI summary itself in only 1% of visits.

The same Pew study found that users ended their browsing session after 26% of searches containing an AI summary, compared with 16% of searches without one. The implication for businesses isn’t that websites have become irrelevant. It is that a growing portion of the information journey can now happen somewhere other than the company’s website, and in some cases the search journey may end without a traditional organic click at all.

The way people phrase searches makes the trend even more interesting. Pew found that only 8% of one- or two-word searches produced an AI summary, while 53% of searches containing 10 words or more did. Searches beginning with question words such as “who,” “what,” “when,” and “why” were particularly likely to generate AI summaries. That matters because customers don’t always think in keywords. They ask questions, often complicated ones, and the systems receiving those questions are becoming increasingly capable of constructing the answer themselves.

Google’s own numbers tell another side of the story. Google reported that AI Overviews had expanded to more than 200 countries and territories and more than 40 languages. The company also said AI Overviews were producing more than a 10% increase in Google usage for the types of queries that trigger them in large markets including the United States and India. Again, that’s Google’s measurement of its own product, so it should be considered separately from independent behavioral research such as Pew’s.

Taken together, however, the evidence points in the same general direction: AI-generated answers are becoming a meaningful part of how people search.

How Is AEO Different From SEO?

SEO and AEO share a significant amount of DNA, which is one reason the terminology can become confusing. Traditional SEO focuses on making webpages discoverable, crawlable, understandable and competitive within search results. Good SEO encompasses technical site health, architecture, content, internal linking, backlinks, search intent, structured data, page experience and the broader authority of a website. None of those things suddenly stopped mattering because ChatGPT became popular.

In fact, Google’s own guidance makes this point explicitly. In its official documentation for AI features in Search, Google says the same foundational SEO practices remain relevant for AI Overviews and AI Mode and that there are no additional technical requirements or special schema needed simply to appear in those experiences.

A page still needs to be indexed and eligible to appear in Google Search. Google also recommends familiar fundamentals such as crawlable content, useful internal links, good page experience, textual content, accurate structured data and current business information.

That is important because AEO shouldn’t be presented as some mysterious replacement for SEO. AEO builds another objective on top of many of the same fundamentals. With traditional SEO, the desired customer journey has generally been search, ranking, click, website and conversion.

With AEO, another journey becomes possible in which someone asks a question, receives an AI-generated answer, encounters a brand mention or citation, develops consideration for that company and eventually converts. A website visit may happen somewhere during that journey, but it doesn’t necessarily have to happen immediately.

For decades, website traffic has been one of the easiest proxies for digital visibility. If someone learns about your company through ChatGPT, later asks Gemini to compare you with a competitor, searches your brand name a few days later and finally contacts you directly, traditional analytics may provide very little indication of where that customer relationship actually began.

This is one reason Fireball Agency believes businesses need to expand the way they think about visibility. Website sessions and Google rankings still matter, but companies also need to understand whether they are appearing in the answers customers receive before they ever reach a website.

What Actually Helps a Business Appear in AI Answers?

This is where AEO becomes considerably more complicated than adding a few headings or installing another WordPress plugin. There is no magic checklist that guarantees inclusion in ChatGPT, Gemini, Claude, Perplexity or Google AI Overviews, and businesses should be skeptical of anyone promising otherwise. These systems use different models, retrieval methods, indexes and sources, and all of them continue to evolve.

Google provides a particularly useful reality check here. Its guidance for generative AI features in Search says that its generative AI experiences are rooted in Google’s existing search ranking and quality systems. Google describes retrieval-augmented generation, or RAG, as one of the techniques used to retrieve relevant and current webpages from its Search index when grounding AI-generated responses. The practical implication is that the technical and editorial work businesses have been doing for search remains part of the foundation rather than becoming obsolete.

The more useful way to think about AEO is therefore as an authority-building process rather than an algorithm trick. A business first needs to be technically understandable. Search engines and AI systems need clear, consistent information about the organization, its people, services, location and expertise. Structured data can help machines interpret those relationships, but structured data is not authority by itself. It helps describe information. It doesn’t automatically make that information trustworthy.

The business also needs content that genuinely answers questions people are asking. There is an enormous amount of content on the web that exists primarily because somebody found a keyword in an SEO platform and commissioned 1,000 words around it. That approach becomes much harder to justify in an environment where answer engines can retrieve and compare information from multiple sources before constructing a response. Google’s own guidance for succeeding in AI Search emphasizes unique, valuable, non-commodity content created for people rather than content manufactured simply because someone believes an algorithm wants it.

This is also where emerging research becomes interesting. A 2026 study examining more than 18,000 fetched pages across ChatGPT, Google AI Overview/Gemini and Perplexity found that pages exerting greater influence on generated answers tended to be longer, more structured, more semantically aligned with the query and richer in extractable evidence such as definitions, numerical facts, comparisons and procedural information.

This is still emerging academic research rather than a universal formula for AI visibility, and correlation should not be confused with a guaranteed optimization tactic. Even so, it supports something we believe strongly at Firebal Agency: substantive, evidence-rich resources are more defensible than thin content created simply to target another keyword.

Why Third-Party Authority Matters

One of the more interesting findings in Pew’s analysis of Google AI Overviews involved the sources appearing inside AI-generated summaries. Wikipedia, YouTube, and Reddit were the three most frequently cited sources when considered together, accounting for 15% of the sources researchers found. Government websites were also more prevalent among AI Overview sources than among traditional search results, representing 6% of AI Overview sources compared with 2% of standard search sources.

The wrong conclusion would be that every company should immediately try to create a Wikipedia page or manufacture conversations about itself on Reddit. That would turn an interesting piece of research into another short-lived marketing tactic. The more useful conclusion is that the information ecosystem surrounding a company matters. AI-powered search can draw information from sources beyond the corporate website, which means digital reputation and credible third-party information are part of the larger visibility picture.

There is also reason to be cautious about assuming that every AI citation represents an authoritative endorsement. Research published in 2026 auditing ChatGPT, Copilot, Gemini and Perplexity found evidence that AI-generated sources themselves were being cited by generative search engines. The researchers reported that roughly 16% of cited sources in their audit showed evidence of being AI-generated. That study examined particular query domains and should not be generalized to every AI search interaction, but it reinforces an important point: these systems are imperfect, and citation does not automatically equal truth or authority.

For Fireball Agency, that makes the long-term strategy clearer rather than weaker. The objective shouldn’t be to manufacture whatever signal appears to be working this month. Businesses should create an authentic and corroborated digital footprint that can survive changes in models, retrieval systems and ranking methodologies.

AEO Starts With Better Questions

SEO has traditionally relied heavily on keyword research, and that remains useful. AEO adds another layer by forcing businesses to think about the questions people ask before making decisions. A potential customer probably isn’t going to ChatGPT and typing “Kansas City marketing agency AI Authority GEO AEO.” They’re much more likely to ask something conversational such as, “Why isn’t ChatGPT recommending my company?” or “Which Kansas City marketing agency can help my business become more visible in AI search?”

Those queries contain much more context than traditional keywords, which means the content answering them needs more context as well. Instead of publishing another generic article about AI marketing trends, businesses have an opportunity to create detailed resources around specific questions their customers are actually asking. A useful article can provide a direct answer, explain the mechanics behind it, incorporate research, acknowledge areas where the evidence is still developing and provide an informed point of view based on actual experience.

This is why we’re deliberately building Fireball Agency’s own AI Authority content library around questions. We aren’t trying to discover some secret combination of words that makes ChatGPT mention Fireball Agency. We’re trying to build a useful body of information around the questions businesses are asking about AI search while consistently demonstrating what we know, what the evidence supports, and what we’re learning through actual client work.

What Does an AEO Process Actually Look Like?

For most businesses, AEO should begin with a baseline rather than a content calendar. Identify the questions that matter to customers and ask those questions across major AI platforms. Does ChatGPT mention the company? Does Gemini accurately understand what it does? Does Perplexity cite its content? Does Google associate the organization with the services and expertise it actually provides?

Which competitors appear consistently when the business does not? The purpose isn’t to celebrate or panic over an individual response because AI answers can vary. The goal is to identify patterns.

The next step is examining the evidence that may be contributing to those patterns. Audit the website and its technical structure. Review structured data and entity relationships. Examine the depth and usefulness of existing content. Look at reviews, case studies, press coverage, professional profiles, social channels, video and credible third-party mentions. The question throughout this process is whether the company’s expertise exists publicly in a form that both people and machines can clearly understand.

Content development follows that research. Businesses can identify questions customers ask at different stages of the buying process and build substantive resources around them. Original research, documented client outcomes, informed commentary and case studies can make those resources considerably more valuable than another collection of generic SEO articles.

Internal linking then helps establish relationships between related topics, while legitimate external distribution through media coverage, industry publications, LinkedIn, YouTube, podcasts and other relevant channels can extend that expertise beyond the company’s own domain.

The final part of the process is measurement and refinement. That part is becoming more sophisticated as the platforms mature. In June 2026, Google announced dedicated Search Generative AI performance reports in Search Console, providing participating site owners with a separate view of impressions within generative AI features such as AI Overviews and AI Mode. That doesn’t solve the entire AI attribution problem, particularly across independent platforms such as ChatGPT or Perplexity, but it is evidence that generative-search visibility is becoming something businesses will increasingly be able to measure rather than simply screenshot.

AEO therefore isn’t a switch that gets turned on after a technical audit. It is an ongoing process of research, technical improvement, publishing, authority building, observation and refinement.

So, Is AEO Just SEO With a New Name?

This is a legitimate criticism, and I think the marketing industry should be willing to address it directly. A lot of what gets described as AEO today sounds very familiar to experienced SEO practitioners. Create useful content. Maintain a technically healthy website. Understand search intent. Establish expertise. Earn credible links and mentions. Structure information clearly. None of those concepts were invented by ChatGPT, and anyone pretending otherwise is rewriting the history of digital marketing.

Google itself has essentially entered this debate. Its 2026 generative AI optimization guidance explicitly says SEO remains relevant because Google’s generative search features are rooted in its existing Search ranking and quality systems. Google has also said there is no special schema or new machine-readable AI file required to appear in AI Overviews or AI Mode. That should make businesses appropriately skeptical when someone tries to sell a collection of ordinary SEO fundamentals as a completely new secret formula for AI visibility.

There also isn’t a universally accepted definition separating AEO, GEO and modern SEO. Some practitioners view AEO as an evolution of SEO rather than a separate discipline, and there is a reasonable argument for that position. The vocabulary will probably continue to change as the technology matures, and some of the acronyms we’re using today may eventually disappear.

At Fireball Agency, we don’t think businesses should spend much time worrying about which acronym wins. The more important distinction is the change in the user experience. SEO developed primarily around systems that returned ranked documents and encouraged users to visit those documents to find the answer.

AI-powered systems increasingly have the ability to retrieve information from multiple sources, synthesize that information and construct an answer themselves. Google even describes its AI Mode and AI Overviews as potentially using a “query fan-out” technique that performs multiple related searches across subtopics and data sources before constructing a response.

That is a meaningful change in discovery, regardless of whether the industry eventually calls the response AEO, GEO, AI Authority or simply modern SEO. Our position at Fireball Agency is therefore somewhere between the extremes. We think saying that AEO has replaced SEO is wrong. We also think saying that nothing meaningful has changed is wrong.

The underlying principles of good marketing remain remarkably consistent, but the systems mediating discovery have changed enough that businesses need to understand the consequences.

Where Does GEO Fit Into This?

Generative Engine Optimization, or GEO, is another term appearing frequently in conversations about AI search, and unlike some marketing acronyms, this one has an identifiable academic history. In 2023, researchers from Princeton University, Georgia Tech, the Allen Institute for AI and IIT Delhi published the paper “GEO: Generative Engine Optimization”, which proposed a framework for improving the visibility of content within responses generated by AI-powered search systems.

The researchers also introduced GEO-bench, a benchmark containing diverse queries across multiple domains, and reported that some of the optimization approaches they tested increased source visibility in generative responses by as much as 40%. Just as important, the researchers found that results varied by subject area and optimization method. That caveat matters. The research did not discover a universal recipe guaranteeing that any business could make itself appear in ChatGPT simply by formatting content a particular way.

There is substantial overlap between GEO and AEO, and the industry has not established perfectly clean boundaries between the two. Generally, AEO refers to making information useful and discoverable for systems that directly answer questions, while GEO tends to focus more specifically on visibility within generative AI experiences. In practice, the work overlaps considerably. Both involve content quality, entity clarity, technical accessibility, digital authority, credible third-party signals and understanding how a business is represented across AI-powered discovery platforms.

Fireball Agency therefore tends to think of AEO and GEO as components of a larger AI Authority strategy rather than entirely separate marketing disciplines. The terminology is less important than the business question underneath it: when someone asks an AI system about the problem your company solves, does that system have enough credible information to understand why your company belongs in the conversation?

What Should Businesses Do Now?

Businesses should not abandon SEO because AI search is growing. They also shouldn’t rewrite every page because someone claims ChatGPT prefers a particular sentence length, manufactures Reddit discussions, purchases hundreds of low-quality syndicated articles or assume that adding schema to a weak digital presence suddenly creates authority. Emerging marketing disciplines inevitably attract shortcuts, and AEO is already producing plenty of them.

The better approach is considerably less exciting but much more durable. Build a technically strong website. Clearly establish who the company is, who is behind it and what expertise it possesses. Publish useful information based on questions customers genuinely ask. Document real results. Develop original perspectives. Earn credible third-party recognition. Maintain consistent information about the business across the web. Then begin measuring how AI systems interpret all of that evidence and improve the areas where the picture remains weak.

For Kansas City businesses, we think there is an interesting opportunity because many organizations have spent years investing in traditional SEO without systematically examining how ChatGPT, Gemini, Claude, Perplexity, Microsoft Copilot and Google AI experiences understand them.

That’s the gap Fireball Agency is working to address. We help businesses examine their existing digital authority, understand where the evidence is weak and build a stronger presence for a search environment that increasingly includes answers as well as links.

The Bottom Line

AEO isn’t a replacement for SEO. It is a response to a change in how people find information and how platforms deliver it. Traditional SEO remains essential for helping webpages become discoverable, understandable, and competitive in search. AEO expands the objective by asking whether the larger body of information surrounding a company gives answer engines enough confidence to understand its expertise, use its information and potentially include the business in relevant answers.

So in conclusion, the companies best positioned for that environment probably won’t be the ones chasing every new optimization trick. They’ll be the organizations creating the clearest and most credible body of evidence around what they genuinely know and do. That means useful content, strong technical foundations, recognizable expertise, legitimate third-party validation and a digital reputation that makes sense wherever someone encounters the company.