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Understand the differences between GEO, AEO, LLMO and SEO at once: definitions, relationships and applicable situations

The differences between GEO, AEO, LLMO and SEO will be explained clearly at once: the definitions, relationships and applicable situations of the four terms. SEO is the foundation, AEO needs to be answered, GEO needs to be generated, and LLMO needs to be remembered. This article teaches you to judge which layer you should give priority to, and don’t spend the budget three times.

Tenten GEO TeamPublished 2026-07-125 min read
The four-layered concentric structure glows upward from the foundation in warm dark tones, symbolizing the stacking of brand visibility from search SEO to AI memory LLMO.

The three terms GEO, AEO, and LLMO are often compared together, but they are not three competing tasks, but three aspects of the same thing - making the brand appear in AI-generated answers. What is really on a different level from them is SEO: SEO is the foundation they share. The most common result of confusing this point is that marketing teams spend the same budget three times, or think that they can skip basic skills by changing a buzzword.

Let’s nail down the four definitions first

Nouns can create confusion, often because everyone has a different definition in their mind. First, nail down four definitions that can be quoted cleanly, so that the subsequent discussions can have a common benchmark.

  • SEO (Search Engine Optimization): Let web pages be ranked higher in the link list of traditional search results such as Google and Bing, with the goal of being clicked.
  • AEO (Answer Engine Optimization): Let the content be read directly as answers by selected excerpts, voice assistants, and AI overviews, with the goal of being answered.
  • GEO (Generative Engine Optimization): Let brand and content appear in answers synthesized by engines such as ChatGPT, Perplexity, and Google AI Overviews, with the goal of being generated.
  • LLMO (Large Language Model Optimization): Let the brand's facts and positioning be remembered by the language model, and be correctly described even when there is no immediate retrieval. The goal is to be remembered.

When the four definitions are spread out, the relationship becomes clear. SEO manages traditional blue links; AEO, GEO, and LLMO manage answers that do not require clicking and are directly given by machines. The difference between the latter three lies in whether the answer has been retrieved, synthesized, or has already been built into the model's memory.

SEO isn’t dead, it’s becoming the foundation

Every once in a while someone declares that SEO is dead, but it actually works exactly the opposite. In order for a generative engine to synthesize an answer, it must first have credible sources, and most of these sources are web pages that it can retrieve and have a clear structure. A website that is poorly indexed by Google, has confusing title semantics, and loads slowly will not be captured or understood by the AI ​​engine. Indexable, semantically clear HTML, fast server response, and clean website structure—these technical basics of SEO are now prerequisites for all AI visibility. SEO is a mess but trying to turn over by GEO is like trying to build a roof before the foundation is laid.

AEO: Break content into answerable units

The core action of AEO is to reorganize content into a question and answer structure. Selected snippets, voice assistants, and AI overviews are all looking for a piece of text that can be read directly as an answer. A paragraph of 40 to 80 words, with conclusions first and then reasons, and sentences that are self-sufficient and do not rely on context, has a much higher chance of being picked up than a long article that requires readers to summarize it themselves. Coupled with structured data tags such as FAQPage and HowTo, it is equivalent to directly telling the machine: Here are questions and answers, use them. AEO focuses on technology and format, and the results are usually visible the fastest.

GEO: optimized for generated answers

The engine faced by GEO does not just extract a piece of ready-made text, but synthesizes multiple sources into a new answer. The rules of competition have therefore changed: when the model chooses who to cite, it looks at whether the brand is mentioned consistently enough across the entire network, whether it is cited densely enough by other trusted sources, and whether the content itself provides specific information that others cannot provide, such as original data, actual figures, and replicable methods. Stuffing it with keywords won’t help here, the model wants substance that can be verified and worth repeating. The results of GEO are slower than AEO because it affects the overall voice of the brand on multiple platforms.

Four-layer comparison chart of SEO, AEO, GEO, and LLMO: goals at each layer from being clicked, being answered, being generated to being remembered
Each of the four layers has a goal: SEO wants to be clicked, AEO wants to be answered, GEO wants to be generated, and LLMO wants to be remembered.

LLMO: The long-term memory of the brand in the model

LLMO deals with a lower-level problem: when a user asks "What GEO agents specialize in B2B SaaS in Taiwan?" and the model does not perform real-time retrieval, will it mention you and how will it describe you? The answer depends on whether the statements about you that the model absorbs from the public Internet are consistent enough, correct enough, and abundant enough during the training and fine-tuning stages. There are no shortcuts in LLMO. It is a long-term brand project - let Wikipedia, industry media, and communities discuss your own official website, and give the same statement about "who you are and what you do." This is the hardest and slowest of the four levels, but also has the deepest moat.

Which one should be done first in any situation?

  • Even Google can’t search for you: first fix the technical foundation of SEO, and other layers will be empty talk.
  • There is traffic, but it is always skipped by featured snippets: do AEO, rewrite the main page into a Q&A structure, and complete structured information.
  • The customer said, "I asked on ChatGPT, and it recommended a competitor." This is a GEO question. First, take stock of the density and consistency of brand mentions on each platform.
  • The model even says wrong about what your company does: that belongs to LLMO and needs long-term correction from authoritative sources and the consistency of the official website fact layer.
When we conducted GEO audits for our clients, we found that 80% of the "AI can't see me" problems are actually caused by poor SEO foundation and content structure, rather than a lack of a new set of tools.Tenten GEO Audit Team

Start by clarifying the gap

Instead of getting hung up on nouns, it’s better to first identify which level your gap falls on. When most B2B SaaS teams really check, they will find that the problem lies in SEO foundation and content structure, rather than the lack of a fashionable strategy. If you want to quickly locate where you are missing in the four layers, you can book a 30-minute GEO diagnosis: We will use your actual brand keywords to run it in several mainstream AI engines, allowing you to see the current situation clearly before deciding what to do next.

Frequently asked questions

What are the differences between GEO, AEO, LLMO, and SEO?
SEO allows web pages to be ranked in traditional search results in order to be clicked; AEO allows content to be directly spoken as answers by featured snippets or voice assistants; GEO allows brands to appear in AI-synthesized answers; LLMO allows the model to remember you correctly even without real-time retrieval.
After doing GEO, does it mean that I don’t need to do SEO?
No. In order for a generative engine to synthesize answers, it must first retrieve web pages that are clearly structured and can be indexed. The technical foundation of SEO is the prerequisite for the visibility of all AI. If SEO is not done well, GEO will have almost no way to play its role.
Which B2B SaaS should you invest in first?
Look at the gap. If Google can’t even search you, fix SEO first; if you have traffic but are often skipped by featured snippets, then do AEO; if you are replaced by an opponent in ChatGPT and it belongs to GEO; if the model even says what you do is wrong, then you have to deal with LLMO.

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