AEO vs GEO: two names for one job, and the one place they part

Where do the two terms come from?

From opposite directions. GEO has a founding document. "GEO: Generative Engine Optimization", by Aggarwal, Murahari, Rajpurohit, Kalyan, Narasimhan and Deshpande, was submitted to arXiv in November 2023. It introduces GEO as a paradigm to help content creators improve their visibility in generative engine responses, and it ships GEO-bench, a large benchmark of user queries across domains with the web sources relevant to each. A corpus and a method are attached to the word.

AEO has no equivalent document. It grew in practice, among agencies and tool vendors, and reached the research literature descriptively. A June 2026 arXiv paper treats answer engine optimisation as the practice that appeared once answer engines such as ChatGPT began sending measurable referral traffic to the open web, and studies it through server logs.

So one term has a benchmark and the other has a practitioner community and a log study. Neither is worthless and neither is authoritative.

Do AI engines treat AEO and GEO as one category?

Yes, in our readings. We track both shopping questions on ChatGPT and Perplexity, and in the 30 days to 4 October 2026 both led with Profound at nearly the same rate: in 90 of 115 answers to one question and 92 of 114 to the other.

That is what you would expect if the engines learned from pages that treat AEO and GEO as two names for one category. A buyer who asks for either word sees the same competitors, so a vendor that optimises for only one of the two terms is splitting a single audience.

The same readings show where the shortlist comes from. ChatGPT's 57 answers to the AEO question carried 2,481 citations, and the most-used domains were vendor roundups and vendors: otterly.ai, a Scrunch file host, aeo-rankings.com, xseek.io. Attensira was named in none of the 229 answers to either question and cited in none. No edit to our own pages fixes that. A brand missing from a category list gets onto it by being included, accurately, on the roundups each engine reads, and then by reading the same prompt for weeks to see whether the list moves.

Read the answers, not only the rate. One Perplexity sample to the AEO question on 3 October 2026 recommended a single obscure tool and cited pages that had nothing to do with the question, including a music profile. A short, jargon-heavy query can retrieve badly.

What does the research actually measure?

Different things, with different instruments, and neither is settled.

The GEO paper's headline is that its methods can boost visibility by up to 40% in generative engine responses. That is a benchmark result: a measured change in how a source appears in generated answers, on a fixed corpus, under specific edits such as adding citations, quotations and statistics.

The AEO study measures traffic. It followed ChatGPT referrals to one high-traffic domain before and after AEO changes, using the domain's untreated pages as a control for platform growth. Raw referrals grew 5.7× while untreated pages grew 3.5×, so most of the "growth" was the platform. The model put the intervention's effect at ×1.82, but a placebo test gave p=0.16, and the authors call the result suggestive, not conclusive, warning that headline AEO multiples overstate the causal effect.

Read together they say something modest: structure and evidence on a page change how it appears in generated text, and traffic numbers quoted without a control mostly measure the engine's own growth.

Does Google require anything called AEO or GEO?

No. Google's documentation for its AI features is plain: there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimisations necessary. To appear as a supporting link, a page must be indexed and eligible to be shown in Search with a snippet. There is no AEO checklist and no GEO certification behind that door.

Anyone who says a platform has published requirements under either acronym is describing their own method. Ask which document says so, and check its date.

Where do the two words genuinely part?

In the success condition. AEO points at attribution: the win is being a source in the citation list, a link and a referral your logs can record. Without a citation, AEO has nothing to count. GEO points at the text: the win is appearing inside the answer, whether or not anyone clicks and whether or not a source list exists. That is broader, harder to instrument, and the only one of the two that still means something on a surface that shows no sources.

These outcomes move apart, and on our own brand they do. Across all 4,524 answers to the 61 prompts we track, in the 30 days to 4 October 2026, an attensira.com page was cited in 239 and Attensira was named in 197, all 197 in answers to the 3 prompts that name us (n=198). An AEO dashboard would show us slightly ahead of a GEO dashboard. Neither would be wrong; each describes a different event.

The engines blur the line themselves. Perplexity defines GEO by being cited, and ChatGPT defines AEO by appearing in answers, as the two stored answers on this page show.

How should you read a vendor that sells one of the terms?

By asking what it measures. A vendor that sells AEO should show, prompt by prompt, which of your pages were cited and how often, with the number of answers behind each rate. A vendor that sells GEO should show the answers themselves, how you were described and how often you were named. If it offers a single blended visibility score, ask how the score would describe a brand that, like ours, is cited more often than it is named.

Three questions sort most proposals in a few minutes. Which prompts will you track, and who chose them? A list written by the vendor to flatter its own results is a sales asset, not a measurement. How many answers sit behind each rate, per engine? A percentage from a handful of answers moves by whole points when one answer changes. And can I read the stored answer behind any number on the dashboard? If the answer to the last question is no, nothing else on the dashboard can be checked, whichever acronym is printed above it.

The word on the proposal is cheap. Stored answers with a sample size are not.

What does the work look like under either name?

Five things, whichever word is on the plan. Let the crawlers that feed answer engines fetch your pages. Write passages that answer a buyer's question directly, so a model can quote them without the paragraph around them. Publish the comparison and alternatives pages your category's buyers ask about. Earn accurate mentions on the third-party pages the engines already cite for your category, which for AEO and GEO tools means the roundups above. And measure each change per engine, named and cited separately, with n, for weeks rather than days.

None of those steps is specific to AEO or to GEO, which is the strongest practical argument that the vocabulary is not the interesting part. Pick the word your audience uses, write down both numbers before you start, and report both.