Key takeaways
- GEO is the one term in this comparison with a real, dated, academic origin: researchers from Princeton University, IIT Delhi and independent researchers formally defined it in a peer-reviewed paper at KDD 2024, with a measured effect (up to 40% visibility lift, domain-dependent).
- AEO's origin story does not hold up the same way. It is widely credited to Jason Barnard of Kalicube, but the year (2017 or 2018) and the source document are inconsistent across his own company's and personal website, and no independent outlet corroborates a specific coining date.
- Google's own official guidance says there is no separate discipline here: "optimizing for generative AI search is optimizing for the search experience, and thus still SEO." Google tells people vetting AEO/GEO vendors to apply the same scrutiny as any SEO vendor.
- Forrester's Nikhil Lai takes the more useful middle position: AEO is "fundamentally like SEO," but consumers' shift to natural language and far more aggressive AI crawler behavior genuinely requires marketers to adapt their tactics, even if the underlying discipline is not new.
- Real search-demand data backs up that this is still a small, fast-growing niche: SEO itself peaked at 47.7 million annualized searches in 2025 and has since fallen 30%, while AEO and GEO combined, starting from almost nothing in 2023, remain a fraction of that volume.
The three terms in one view
Short working definitions. The sections below explain where each comes from and how solid that origin is.
| Term | What it means | What counts as a win |
|---|---|---|
| SEO | Improving a page's visibility in a traditional search engine's results. | A ranking position and the click it earns. |
| AEO (answer engine optimization) | Making your content the answer or the cited source in answer engines and AI answers. | Being named or cited in the answer. |
| GEO (generative engine optimization) | Making content more visible inside AI-generated responses; formally defined in a KDD 2024 paper. | Being cited in a generated answer. |
Three terms, one argument that won't settle
Ask what the difference is between SEO, AEO, and GEO and you'll get a confident answer from almost anyone, and a different confident answer depending on who you ask. Some of that is genuine disagreement among serious people. A lot of it is vendors picking whichever framing makes their specific service sound like a category nobody else has covered yet.
So instead of picking a side, we checked what each claim actually traces back to: who defined each term, when, and how solid that origin actually is. The answer is more interesting than "they're all the same thing" or "they're all completely different."
SEO: the one nobody argues about
Search Engine Optimization needs no origin story here. It's decades old, it has a settled definition, and virtually nobody disputes what it means: improving a page's ranking and visibility in a traditional search engine's results. The debate isn't about what SEO is. It's about whether AEO and GEO are something genuinely separate from it, or just SEO wearing a new acronym.
GEO has an actual paper behind it
This is the one term in the entire debate with a real, citable, peer-reviewed origin. Researchers from Princeton University, IIT Delhi and independent researchers formally defined "Generative Engine Optimization" in a paper presented at KDD 2024, a major peer-reviewed data mining conference (Aggarwal et al., KDD 2024). It wasn't just a term they coined. They built a benchmark of real queries, tested content strategies against it, and measured the result: content optimization can lift visibility in generative engine responses by up to 40%, with the honest caveat that the effect varies significantly by domain.
We've gone deep on what that paper found, its limits, and a practical plan. The point here is narrower: GEO is the rare term in this space that didn't emerge from a conference talk or a company blog. It emerged from a dataset.
AEO's origin story doesn't hold up the same way
Here's where the usual explainer gets lazy. Most AEO content states, as settled fact, that Jason Barnard of Kalicube coined "Answer Engine Optimization" at BrightonSEO in 2018, following a Trustpilot whitepaper. We went looking for where that claim actually comes from.
What we found: Kalicube's own site and Barnard's personal site are, as far as we can tell, the only sources making this claim, and they don't even agree with each other. One account puts the term's introduction in a 2017 Trustpilot whitepaper co-authored with Chee Lo, titled "The Rise of Voice and AEO." Another puts it in a January 2018 Trustpilot whitepaper titled "The New Face of SEO: Answer Engine Optimization," with the term reaching a wider audience at a BrightonSEO talk that April. We could not find an independent third party, not Search Engine Land, Search Engine Journal, Moz, or Wikipedia, that corroborates a specific coining date or document.
None of this means the credit is wrong. Barnard has written and spoken about AEO consistently for years, and being first to popularize a term is a real contribution even if the paper trail is thin. But it's worth being honest about the asymmetry: GEO traces to a single, dated, peer-reviewed document anyone can go read. AEO traces to a company's own retelling of its own history, with the details shifting depending on which of that company's own pages you read. If you're going to cite an origin story as fact, that distinction matters.
What the actual search-demand data says
Rankability analyzed 3,751 fixed-panel search terms through Google Keyword Planner over 48 months, June 2022 through May 2026, using lightly smoothed monthly values to cut through bucketing noise (Rankability, State of AI Search, 2026). The real numbers put some scale on this debate.
SEO demand is declining while AI search demand accelerates
Annualized U.S. search volume via Google Keyword Planner, 48-month panel.
A 30% drop, the first sustained decline in the four-year panel.
3.6x growth over three years.
Rankability, State of AI Search report, 48-month Google Keyword Planner panel, 2026
Two things worth sitting with here. First, SEO as a search term is genuinely declining, not just plateauing, the report calls it the first sustained decline across its entire four-year dataset. Second, that decline is happening while demand for "AI" broadly has nearly quadrupled, and demand for AI agents specifically grew almost 22x, from 38,900 to 843,200 annualized searches.
But AEO and GEO themselves are still tiny next to either of those numbers. Both terms had almost no search volume in 2023, grew quickly through 2024 and 2025, and leveled off in early 2026, with GEO attracting roughly twice the search demand of AEO. Even combined, they remain small compared to established search terminology. The industry conversation about AEO and GEO is much louder than the actual volume of people searching for those terms, which tells you this is still a practitioner-and-vendor conversation, not yet a buyer-side one.
So is this a new discipline, or just SEO with better vocabulary?
Both of the two serious institutional answers to this question land in roughly the same place, and it's not where most AEO marketing lands.
Google's own official guidance is unambiguous: "optimizing for generative AI search is optimizing for the search experience, and thus still SEO" (Google Search Central). Google explicitly tells anyone evaluating a third-party AEO or GEO vendor to apply the same scrutiny it recommends for evaluating any SEO vendor, not a separate standard. As far as the company that runs the search engine is concerned, there's one discipline here, not three.
Forrester's Nikhil Lai lands close to the same place, with a more useful nuance. His assessment: AEO "is fundamentally like SEO," built on the same E-E-A-T fundamentals and the same underlying crawler behavior. But he's direct about what has genuinely changed: "consumers' rapid shift to natural language and adoption of multimodal search, the voracity of answer engines' bots, and answer engines' ability to fill the top of the funnel require marketers to significantly adapt content, technical, and measurement practices" (Forrester).
Read together, that's the honest answer: the foundation is not new, but what counts as a win is. A ranking position a human clicks is a different outcome from a citation an AI system lifts with no click at all, and that difference is real even if the skills underneath it overlap heavily with SEO. What we measured in our own 29-company audit reflects exactly that: the companies getting cited weren't doing anything mysterious or AEO-exclusive. They were doing the same clarity-and-structure fundamentals that have always mattered, aimed at a new kind of reader.
What this actually means if you're deciding what to do
If you're producing content, don't treat AEO or GEO as a parallel workstream that needs its own team or its own calendar. The tactics overlap with SEO by a wide margin: clear structure, genuine expertise, a direct answer stated plainly. What changes is what you measure, citations and mentions in AI answers, not just rank position, and which platform you weight that measurement toward, since ChatGPT, Google AI Overviews, and Perplexity source citations very differently from each other.
If you're buying a service and the pitch leans heavily on the acronym rather than on what gets measured, that's worth noticing. Google's own position is that AEO and GEO vendors should be evaluated the same way SEO vendors are. A vendor whose entire pitch depends on convincing you this is an unprecedented new category, one only they understand, is making a sales argument, not a technical one.
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Book a ConsultationSources
- Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan & Deshpande, GEO: Generative Engine Optimization, KDD 2024
- Google Search Central, Google's Guide to Optimizing for Generative AI Features on Google Search
- Forrester (Nikhil Lai), How To Master Answer Engine Optimization
- Rankability, AI Search Statistics 2026: 48 Months of Data
FAQ
Is GEO just a rebrand of SEO?
No, and this is the one claim in the debate with real academic backing. Researchers from Princeton University, IIT Delhi and independent researchers formally defined Generative Engine Optimization at KDD 2024 and measured it directly: a benchmark of real queries, a range of content strategies tested against it, and a documented effect, content optimization can lift visibility in generative engine responses by up to 40%, varying by domain. SEO has no equivalent single paper defining it, because it is decades older and the term predates formal academic study of it.
Who actually coined the term "Answer Engine Optimization"?
This is murkier than most AEO content claims. The term is widely credited to Jason Barnard of Kalicube, attributed by his own company's site and personal site to either a 2017 or 2018 Trustpilot whitepaper and a 2018 BrightonSEO talk, the exact year and whitepaper title are inconsistent across his own properties. We could not find an independent, third-party source (Search Engine Land coverage by someone other than Barnard, Search Engine Journal, Moz, Wikipedia) that corroborates a specific coining date. That does not mean the credit is wrong. It means, unlike GEO, AEO's origin story is self-reported rather than independently documented.
Does Google think AEO and GEO are real, separate disciplines?
No. Google's own guidance states plainly: "optimizing for generative AI search is optimizing for the search experience, and thus still SEO." Google tells anyone evaluating a third-party AEO or GEO vendor to use the same scrutiny it recommends for evaluating any SEO vendor, treating it as a subset of SEO rather than a distinct field.
If it's all basically SEO, why do these terms exist?
Forrester analyst Nikhil Lai put it plainly: AEO "is fundamentally like SEO," built on the same E-E-A-T and crawler fundamentals, but the shift to natural-language queries, multimodal search, and far more aggressive AI crawler behavior "require marketers to significantly adapt content, technical, and measurement practices." The underlying discipline is not new. The specific tactics, and what counts as a win, citation instead of a click, genuinely are.
Which term should I actually use?
Whichever one your audience searches for, honestly. Real Google Keyword Planner data shows both AEO and GEO had almost no search volume before 2023, grew fast through 2024 and 2025, and leveled off in early 2026 at a fraction of SEO's search volume, with GEO attracting roughly twice the demand of AEO. If you're hiring, judge the agency on measured outcomes (citations, not rankings) rather than which three-letter acronym is on their homepage.
