AEO has only one problem to solve: when a user reads a synthetic answer in ChatGPT, Perplexity or Google AI Overview and then closes the page directly, does that answer contain your brand, your information, and your opinions? It is not about retelling SEO with a different name, but pushing the end point of optimization forward from "ranking on the first page of search" to "being written into the generated answer." This article explains several of the most frequently asked questions when we help B2B SaaS customers perform AEO.
What are AEOs? What’s the difference between SEO and GEO?
AEO stands for Answer Engine Optimization, which refers to a set of practices that allow content to be understood, captured, and directly referenced by AI answer engines. Answer engines refer to systems that combine multiple sources into an answer, such as ChatGPT, Perplexity, Google AI Overview, and Claude. The goal of traditional SEO is to make the web page rank at the top of the search results and let people click in; the goal of AEO is to still appear in the generated answer and be answered correctly even if the user does not click on any link at all.
GEO is Generative Engine Optimization, which is often used interchangeably with AEO. Both focus on the matter of "being cited by AI". If we have to make a distinction, AEO prefers a question-and-answer situation, directly answering a specific question; GEO has a wider scope, covering the overall visibility of the brand in various generative interfaces, including the share of cross-platform mentions. In practice, we treat them as the same set of projects and the difference is only in the granularity of measurement. You don't need to argue over terms, it's more practical to make the content quotable first.
- SEO: The goal is search rankings and clicks. The indicators looked at are ranking position, natural traffic, and click-through rate.
- AEO: The goal is to be directly quoted by the answer engine. The indicators looked at are citation rate, answer exposure, number of mentions and accuracy.
- GEO: The goal is the share of brand visibility across generative platforms. The indicators we look at are the proportion of voice volume and the consistency of cross-model descriptions.
How does the answer engine decide who to cite?
The answer engine does not rank based on the number of backlinks. What it does is "retrieval and regeneration": it first grabs a batch of potentially relevant paragraphs from the index or real-time search, and then gives it to the language model to determine which paragraphs are most suitable to spell the final answer. What determines whether you are selected is whether a piece of text can be extracted cleanly, established independently, and accurately aligned with the question. For example, if a paragraph is laid out in three lines at the beginning and the conclusion is hidden in the fourth sentence, the model will have to work harder to extract the key points, and it will usually be skipped. If the paragraph is written with a clear definition in the first sentence and is followed by numbers or columns, the chance of being quoted in the entire paragraph will be significantly higher. Therefore, the focus of AEO is not the number of words, but whether you can finish one thing in each paragraph.
What exactly do you need to do to make an AEO?
When we help B2B SaaS customers, the work falls roughly on four levels. If any one layer is missing, the citation rate will be stuck.
- Content structure: Each paragraph is self-contained, with the conclusion first and then the evidence; use a question that the reader will actually ask as the title; each paragraph only answers one question.
- Entities and semantics: Clearly define entities such as brands, products, and people, and add Schema structured tags (FAQPage, Article, Organization) to let the machine know who you are and what you are talking about.
- Technical readability: Ensure that AI crawlers can crawl the page, and do not hide key content behind JavaScript that requires clicking or scrolling to load; robots and llms.txt must follow the path that should be allowed.
- Visibility measurement: A fixed set of representative questions are used across ChatGPT, Perplexity, and Google to measure whether the brand is cited and how it is described. This is something Brand Radar continues to track.
What are some common misconceptions about AEOs?
The most common misconception is to think of AEO as stuffing more keywords. The answer engine reads semantics and entity relationships. Keyword stacking will not make you quoted more often, but will make the paragraph harder to read and harder to extract. The second misunderstanding is that if you create a Schema, it will be automatically referenced; structured markup only makes it easier for the machine to understand you. The content itself does not have a clear, credible, and extractable answer, and it is useless no matter how complete the markup is. The third misunderstanding is that AEO will replace SEO. In fact, the two share the same content assets. A well-organized SEO page will often become a good AEO material after rewriting. The fourth misunderstanding is that as long as the content is good enough, AI will naturally find you; but if crawlers are blocked, key content relies on JavaScript to load, or the page is not within the search range at all, no matter how well written it is, it will not be included in the candidate list.
How to measure the effectiveness of AEO? How long will it take to see it?
The results do not look at traditional ranking screenshots, but look at three things: citation rate, which is the proportion of the brand cited by AI in a set of fixed questions; description accuracy, whether AI has correctly explained your positioning, functions, and differences; and share change, whether the frequency of mentions of competing products is higher or lower than that of competing products. In terms of time, content and structure adjustments usually will not be reflected until the next retrieval or update of the AI model. According to our implementation experience, the first wave of changes in citation rates usually occurs within four to eight weeks. To stabilize the cross-platform visibility share, we need to look at the trend for more than three months. Because the update rhythm of each model is different, we cannot draw conclusions just by looking at the screenshots at a single point in time.
AEO does not allow you to be ranked higher, but allows you to still be cited at the moment when users do not click on the link.— Tenten GEO
Should you do it yourself or find an agent?
If the team has the content and technical resources, and the basic skills of AEO, including structured writing, Schema markup, and crawler readability, you can start by yourself. This list of practices is the starting point. External assistance will be needed, usually in this case: you don't know what you are missing now, and you don't have a cross-platform benchmark. You don’t know how AI describes your brand now, which issues it loses to competing products, and which content is actually very close to being quoted, just missing the mark. If you want to clarify these gaps, you can make an appointment for a 30-minute GEO diagnosis. We will use your own brand to run a round of representative questions and let you directly see how AI answers your questions now.
