AEO vs GEO · In-depth comparison
AEO vs GEO: are they the same thing?
Two acronyms, the same market moment, and an answer that changes depending on who you ask. We cover where each term comes from, where the evidence genuinely agrees, and where only the marketing does.
By the ArribaIA team · Updated
Citable summary
AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) share most of their techniques: semantic content, structured data, and external trust signals. The real difference isn't in the technique, it's in the origin and in who uses each word. GEO was born in 2023 from an academic paper (Aggarwal et al., Princeton) focused on generative AI engines, peer-reviewed and published at KDD 2024. AEO is an older label, tied to featured snippets and voice search, that the marketing industry has recycled since 2024 as a broader commercial umbrella. No study available through 2026 shows a guaranteed formula for either one.
This paragraph summarizes the article in under 130 words on purpose: if AEO and GEO are about anything, it's exactly this, fragments a system can cite without needing to read the rest of the page.
How we got here
Where each term comes from
AEO and GEO weren't born on the same day or from the same source. Understanding the order helps explain why the industry uses them so differently.
Voice assistants and featured snippets
Siri, Google Now, and Alexa popularize spoken search. In 2014 Google launches featured snippets: the first time an answer appears directly on the results page, above the first link.
The term AEO starts circulating
Per industry roundups, the label Answer Engine Optimization starts getting used in SEO circles to describe working content toward featured snippets and voice. There's no academic paper behind this label at this point.
The term GEO is born
Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, and Deshpande, from Princeton, publish on arXiv 'GEO: Generative Engine Optimization', the first formal framework (with its own benchmark, GEO-bench) for measuring content visibility in AI-generated answers.
GEO passes peer review
The same paper is presented and published in the proceedings of KDD 2024 (ACM SIGKDD, Barcelona), turning it into a peer-reviewed academic study, not just a preprint.
The industry adopts both terms
As ChatGPT, Perplexity, and AI Overviews grow, agencies and marketing tools (HubSpot among them) start using AEO as a commercial umbrella that also encompasses GEO.
First AEO-specific preprint
Watanabe and Nakayashiki publish the first field study to explicitly use the term Answer Engine Optimization in an academic paper, with real referral traffic data from ChatGPT.
Three readings, none official
Nobody arbitrates this definition
There's no authority that fixes what AEO means versus GEO. These are the three most cited ways of understanding the difference, and none of them cancels out the other two.
HubSpot's reading
HubSpot treats AEO and GEO as the same set of techniques, and has chosen to standardize on AEO for being, in its view, a broader term closer to traditional SEO vocabulary.
HubSpot, What Is AEO?
The reading of several industry agencies
Other analyses draw a distinction: AEO would cover featured snippets, answer boxes, and voice results; GEO would focus on citation within an answer generated by a language model. In this reading, GEO would be the generative-engine-specific subset of AEO.
Progress Software, AEO, GEO & SEO
The reading of the scientific literature
Peer-reviewed literature has used almost exclusively the term GEO since 2023, with its own benchmark and several follow-up papers reusing the same name. AEO barely has one academic preprint, published in 2026, still without scientific consensus on its definition.
Aggarwal et al., KDD 2024
Claim by claim
What gets said versus what the evidence supports
Six common claims about AEO and GEO, checked against what the sources available to date actually say. A "mixed" verdict isn't a comfortable tie: it means it depends on which source you ask.
GEO and AEO are exactly the same thing.
It depends who you ask. HubSpot treats them as synonyms with different emphasis; other industry analyses distinguish between optimizing for snippets and voice (AEO) and optimizing for citations in AI-generated answers (GEO). No body arbitrates which reading is correct.
HubSpot; Progress Software
The term GEO has more academic backing than the term AEO.
GEO has a foundational, peer-reviewed paper published in the proceedings of KDD 2024 (ACM), plus several follow-up papers reusing the same name (benchmarks, measurement frameworks). AEO, by contrast, only appears explicitly in one academic preprint published in 2026, still without confirmed peer review.
Aggarwal et al., KDD 2024; Watanabe and Nakayashiki, 2026
Appearing in a featured snippet or in AI Overviews is the same as being cited by ChatGPT.
An analysis of over 21,000 citations across ChatGPT, Google AI Overviews/Gemini, and Perplexity found these platforms cite differently: some cite more sources but with less real influence on the final text (breadth), others cite fewer sources but with more weight in the answer (depth). Optimizing for one doesn't guarantee the same result on another.
Zhang, He, and Yao, 2026
An AEO or GEO strategy has a measurable, isolatable effect on traffic.
The only controlled field study published so far, with real data from one domain and a control group with no intervention, found an effect attributable to AEO interventions more modest than expected, and its own authors called it suggestive, not conclusive.
Watanabe and Nakayashiki, 2026
Doing AEO or GEO means you can abandon traditional SEO.
Google confirms that to qualify as a supporting source in AI Overviews or AI Mode, a page must be indexed and meet the same technical requirements as showing a snippet in traditional search. Several industry analyses agree that neither AEO nor GEO would exist without the foundation of technical SEO.
Google Search Central; Progress Software
Marking up content with JSON-LD guarantees an AI system will cite it.
Google explicitly states there are no additional technical requirements for appearing in AI Overviews or AI Mode beyond being indexed and eligible to show a snippet. Structured data helps describe entities, but no official documentation presents it as a guaranteed path to citation.
Google Search Central
In practice
Which term should you use?
If you have to pick one word for a meeting, a report, or a website, here's what determines which one fits better.
If you talk to clients or do marketing
It's the term more people recognize outside technical circles, and the one the most widely used marketing software has adopted. It works well as an umbrella covering featured snippets, voice, and AI-generated answers in a single conversation.
If you talk about measurement or research
It's the term with an academic framework, its own benchmark, and a line of papers using it consistently since 2023. If you're going to cite scientific literature or discuss measurement methodology, GEO is the word you'll find in the primary sources.
Sources
What we rely on
We always distinguish between a platform's official documentation, peer-reviewed academic studies, preprints not yet peer-reviewed, and industry analysis. A preprint is not the same as scientific consensus, and an article from a software company is not the same as official data from a platform.
- Professional analysis
What Is AEO?
HubSpot
HubSpot's product article defining AEO, distinguishing it from SEO, and explaining why the company chose to standardize on that term over GEO.
www.hubspot.es/products/marketing/aeo/what-is - Official documentation
AI features and your website
Google Search Central
Google's official guide on how AI Overviews and AI Mode work, and the real technical requirements (indexing and snippet eligibility) for appearing as a supporting source.
developers.google.com/search/docs/appearance/ai-features - Academic study
GEO: Generative Engine Optimization
Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan, and Deshpande (Princeton)
The foundational paper that coined the term GEO. First published as a preprint in November 2023 and later presented, peer-reviewed, at KDD 2024 (ACM SIGKDD, DOI 10.1145/3637528.3671900).
arxiv.org/abs/2311.09735 - Preprint
Disentangling Answer Engine Optimization from Platform Growth: A Log-Based Natural Experiment on ChatGPT Referral Traffic
Watanabe and Nakayashiki, 2026
The first field study to explicitly use the term Answer Engine Optimization, with real data from one domain and a control group, to isolate the causal effect of AEO interventions from the platform's organic growth.
arxiv.org/abs/2606.04362 - Preprint
From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms
Zhang, He, and Yao, 2026
Analysis of over 21,000 citations and 18,000 pages gathered from 602 questions across ChatGPT, Google AI Overviews/Gemini, and Perplexity, distinguishing between how many sources each platform cites and how much real influence each has on the answer.
arxiv.org/abs/2604.25707 - Professional analysis
AEO, GEO & SEO: What's the Difference?
Progress Software
An industry analysis arguing for a hierarchical reading: SEO as the technical foundation, with AEO and GEO as additional layers on top of it, not replacements for it.
www.progress.com/blogs/aeo-geo-seo-whats-difference - Professional analysis
Answer Engine Optimization: The Complete History of AEO From SEO to AI Search
Stackmatix
An industry roundup of the AEO term's timeline, from 2014's featured snippets to its mass adoption alongside ChatGPT. It's a historical reconstruction by a trade outlet, not a peer-reviewed academic paper.
www.stackmatix.com/blog/history-of-aeo
Which of the two applies to your business?
It doesn't matter what you call it: what matters is whether your brand shows up when someone asks ChatGPT, Gemini, Perplexity, or Google. We audit it and tell you what to fix first.