LLMO, GEO, and AEO Name Almost the Same Thing, and the Industry Has Not Settled the Boundary

LLMO, short for Large Language Model Optimization, is the work of getting your brand mentioned, cited, and recommended inside an AI’s answer. The target is the answer itself, and no longer a list of links. The boundary between LLMO, GEO, and AEO is disputed. Two references from within the industry describe the three acronyms in ways that do not fit together. The mechanism underneath them is a different story, because it has official documentation. And the only requirement Google has put in writing is the oldest one there is.

What the acronym LLMO names

The Search Engine Land guide defines LLMO as “the practice of optimizing your content, website, and brand presence to appear in AI-generated responses from tools like ChatGPT Search, Google’s AI Overviews, and Perplexity”. ¹

The same guide states the goal, and the choice of words matters: “get your brand mentioned, cited, and recommended within conversational AI responses”. ¹

Notice what dropped out of that sentence. There is no position, no list, no click. The unit of success stopped being a place on the page and became a mention inside the text the machine writes.

LLMO, GEO, and AEO: the boundary the industry has not settled

The same guide separates the three acronyms by target. GEO would cover any answer engine that produces a response. LLMO would target conversational AI, such as ChatGPT and Claude. AEO would focus on showing up in Google’s AI Overviews. Put in one line, AEO would be tied to the results page, while LLMO would work inside the chat interface. ¹

It looks settled, and it is not.

Conductor’s glossary, another reference from the same industry, treats LLMO as practically a synonym for GEO. The emphasis simply shifts to the language model running underneath the system. ²

Two reference sources, two boundaries that do not line up. Neither source is being careless. Together they capture a vocabulary that is still being fought over while it is already on sale.

Look, too, at what the Search Engine Land guide does not say, because an absence is also information. It presents SEO, AEO, GEO, and LLMO as established concepts. It never says who coined LLMO, when the term appeared, or whether the industry reached any consensus. ¹ The answer is simply not there.

The mechanism under all three acronyms, and it is on the record

While the acronyms fight over the name, the mechanism sits in an official document that anyone can read.

Google’s documentation covers eligibility for a supporting link in AI Overviews or AI Mode. The rule is short: “a page must be indexed and eligible to be shown in Google Search with a snippet”. The same page says there are no additional technical requirements and no special optimizations for the AI features. The best practices are still the ones for search. ³

The newest requirement in the field is the oldest one in the craft: getting indexed.

And the academic paper that coined the acronym GEO says where the material for the answer comes from. The paper is “GEO: Generative Engine Optimization,” submitted on November 16, 2023, and published at KDD 2024. Its authors are Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, and Ameet Deshpande. It describes generative engines as systems that typically satisfy queries “by synthesizing information from multiple sources and summarizing them using LLMs”. It also introduces its own benchmark, GEO-bench, and reports visibility gains of up to 40%. ⁴

What the paper measured as effective is the part nobody cites. In the benchmark, the tactics that moved visibility most were citing sources, adding direct quotations, and including statistics. ⁵ None of those three was born in 2023. They are what a serious content manual was already prescribing a decade earlier.

Lily Ray reports the same thing from the practitioner’s side, in “GEO, AEO, LLMO: Separating Fact from Fiction,” her MozCon 2025 session. Content that did well in AI search needed nothing outside standard SEO best practices, because the models use search engines. The indexed, well-ranked articles were the ones that got cited. ⁶

Ranking does not buy a citation, and here the sources disagree

This is the part where I need to be more honest than the industry usually is. The data is counterintuitive, and it complicates the story.

Kevin Indig analyzed more than 546,000 AI Overviews and measured the correlation between organic position and citation. It is weak and negative: −0.19 across the full set, and −0.21 looking only at the top 3. Only 12.1% of the URLs in the organic top 20 show up as citations, and about 59.6% of citations come from outside the top 20. ⁷

If you stop here, you will conclude that position does not matter. Keep going.

1. Another reading from the same author points another way. Coverage of a later study reports 60% of cited URLs ranking on page one, and 21.9% in the top 3. That sits in apparent tension with the 59.6% above. They come from different cuts of the data, different datasets, and different periods. I do not add the two together, and I do not try to reconcile them. ⁸
2. A third tracker changed its methodology partway through the series. In July 2025, 76% of the pages cited in AI Overviews also ranked in the organic top 10 for the same query. In the 2026 update, that share fell to 38%. The source itself warns that detection changed between the two studies, so the numbers are not directly comparable. ⁹
3. What is still standing after all that fits in three lines. Being indexed is a prerequisite that Google documents. ³ A high position does not guarantee a citation. ⁷ And the studies that try to measure the link between ranking and citation disagree with each other. ^{8 9}

Any claim stronger than those three, as of today, is fabrication, even when it arrives in a polished PDF.

Because position explains so little, the question that matters is still open. Once the documents are retrieved, what makes the machine pick one source over another? That decision is not about a place on a list. It is about the machine recognizing who you are.

In Brazil, the acronym AEO already has another owner

This part is our own measurement, taken on August 31, 2026, on Google’s Brazilian results page. I have not seen anyone else publish it.

On the Brazilian SERP for “aeo,” five of the ten positions are not about Answer Engine Optimization. They are about the Authorized Economic Operator, the customs program. The results include the European Commission and the government of India. ¹⁰

Google has not decided which entity the acronym names in Brazil. Until it does, anyone chasing the bare term “aeo” in that market is spending authority to disambiguate a word that belongs to another subject. The work is real, and the full name works. The bare acronym does not.

Update, September 14, 2026: we checked the search again. The Semrush list is still split down the middle, but the live Google page already leans the other way. Seven of eight results cover answer engines. The acronym is changing hands, and the measurement holds only with its date. ¹⁰

The measurement covers Brazil only, and I make no claim about any other market. What carries over is the mechanism: while Google has not settled which entity an acronym names, competing for it costs you disambiguation.

What to do with this

Pick one acronym and define what it means inside your company. The industry will not define it for you anytime soon, and clients confused by jargon do not buy. Defining it is cheap.

Check indexing before any tactic. It is the only requirement written into official documentation ³, and it decides whether your content can even enter the conversation. If your pages are not indexed, no acronym fixes that.

Distrust any citation percentage that comes without a date and a methodology. You just saw three serious measurements disagree with each other within two years. Whoever hands you a round, stable number on AI citations either skipped the sources or read them and chose not to tell you.

This page makes no promise of position, citation, or numbers. It gives you a map of what is documented, what is disputed, and what nobody knows yet.