The terminology of AI search is very confusing. The most common mistake is to use SGE, AI Overviews, GEO, and AEO interchangeably as synonyms, and then spend resources in the wrong place. In fact, if you break it down, there are only two levels: one is "how does the AI engine generate answers", and the other is "how does your brand get caught in the answer". This article explains clearly a dozen of the most confusing terms at once, so that when you see any GEO proposal in the future, you can immediately judge which level the other party is talking about and whether the key points are mentioned.
What’s the difference between a search engine and an answer engine?
Traditional search engines return you a page of blue links, and the decision lies with the user—you click on it to find the answer yourself. The answer engine is different. It reads multiple sources and synthesizes a paragraph directly back to you, and the links are relegated to small quotation marks. ChatGPT, Perplexity, Google AI Overviews, and Gemini all belong to the latter. The point of this change is not that the interface looks better, but that the clicks are eaten: users get the conclusion on the answer page and no longer enter your website. Many brands will find that they are "read" but not "clicked", and the old ranking thinking begins to fail here.
Google's Side: SGE and AI Overviews
SGE is the abbreviation of Search Generative Experience, an experimental feature launched by Google in 2023 that will generate an AI summary at the top of the search results. It was only tested in Search Labs at first, and many people first learned about AI search from this name.
AI Overviews is the name of the same function after it was officially launched. In 2024, Google converted it from an experiment to a default, renamed it AI Overviews, and began to open it to general users on a large scale. So when you see someone talking about SGE and someone talking about AI Overviews, they are probably referring to different stages of the same thing: SGE is the old name and AI Overviews is the current name. Don’t be misled by the two names into two systems.
Optimize this side: SEO, AEO, GEO, LLMO
- SEO (Search Engine Optimization): Let the page rank higher in traditional search results, with the goal of ranking and clicks.
- AEO (Answer Engine Optimization): Make the content a paragraph that is "directly answered". The focus is on clear structure, aligned questions and answers, and clean extraction.
- GEO (Generative Engine Optimization): Let generative AI cite you when synthesizing answers, covering content, entities, source trustworthiness and cross-platform visibility, much broader than AEO.
- LLMO (Large Language Model Optimization): An occasional term that highly overlaps with GEO and can often be considered synonymous.
In practice, the boundaries of these words will be blurred, but the order is clear: SEO management ranking, AEO management being answered, GEO management being cited by the generative engine. The three are not mutually exclusive. To do GEO, you must first lay down the basics of SEO and AEO. Otherwise, the engine cannot even read them, let alone cite them.
Inside the engine: entities, knowledge graphs, RAG, grounding
Entity is the smallest cognitive unit of AI to the world - a company, a person, a product, and a concept are all entities. Search engines not only read your text, but also map you to an entity to determine who you are and who you are related to. A knowledge graph is a huge network composed of these entities and relationships. Whether you can be stably recognized in AI answers depends largely on whether the entity signals are consistent enough: whether the name, category, and association are consistent everywhere.
RAG is the abbreviation of Retrieval-Augmented Generation, which means that the model first retrieves a batch of external data before answering, and then generates answers based on these data. This mechanism is behind Perplexity and AI Overviews. Grounding is the other side of the same coin: anchoring the model's answers to verifiable sources rather than just making them up from memory. The meaning to you is very direct - the content must be searchable and judged as a reliable source before it has a chance to be included in the batch of cited materials.
The matter of being cited: citation, chunk, volume ratio
- Citation: The link or source that marks the source in the AI answer. Being cited means that your content has been adopted into the answer, which is the most direct achievement indicator of GEO.
- Content fragments (chunk): The engine does not read the entire article, but cuts the page into segments and selects the segments that best answer the questions. Whether a paragraph is self-sufficient and understandable alone will directly affect whether it will be selected.
- Share of voice: In AI answers on a certain topic, the frequency of your brand being mentioned relative to your competitors is a way to quantify "whether GEO is effective."
How do these words affect your actual practice?
The purpose of distinguishing the terminology clearly is not for the exam, but to avoid wasting work. If you invest all your resources in traditional ranking but fail to deal with entity consistency and content extractability, you may be ranked on the first page but not get into the AI answers. On the other hand, if you just write the article in a question and answer format without credible source signals and clear brand entities, AI will not cite you stably. The truly effective approach is to consider three levels together: SEO foundation, AEO to make the content into an answerable shape, GEO operating entity and cross-platform visibility.
Measure GEO performance, don’t just focus on rankings. What you need to look at is whether AI will cite you or mention your name on the issues you care about.— Tenten GEO Consulting Team
Now that you understand the terminology, the next step is to see where you stand: Does AI mention you when it answers questions in your field? How different is the frequency of citations from competitors? You have to actually ask and compare these on various platforms to know. If you want a specific list of gaps, you can make an appointment for a 30-minute GEO diagnosis. We will use a few questions that you really care about and see on the spot how the AI answers now and whether your name is included in it.
