Machine Web · Reference
Answer Engine Optimization (AEO): getting cited in ChatGPT, Perplexity & Google AI Overviews
Answer Engine Optimization (AEO) is the practice of preparing content so that AI answer engines cite and link to it as a source. The goal is not the blue link, but the mention in the generated answer itself — in ChatGPT, Perplexity or Google AI Overviews.
Search has stopped being a list. It has become an answer. Anyone who wants to appear in that answer has to write differently — not louder, but clearer. AEO is the discipline that follows from this.
Definition
What AEO is — and what it isn't
AEO optimizes for being cited as a source in answer engines — systems that answer a question not with ten links, but with a generated text and a few source references alongside it. Success is measurable by a single question: does your domain show up in the answer?
AEO is not a replacement for classic SEO; it builds on it. A page that cannot be indexed or crawled cannot be cited either. The technical foundations remain; only the goal shifts from the ranking to the citation.
Distinction
AEO and GEO: the difference
AEO and GEO overlap heavily and are often used interchangeably. The difference lies in the focus:
- GEO (Generative Engine Optimization) is the broader term — visibility in generative systems as a whole, across answers, summaries and recommendations.
- AEO (Answer Engine Optimization) is narrower and targets the direct answer: the citable passage and the visible source link in an answer engine.
In practice the boundary is fluid. Anyone doing AEO is almost always doing GEO too. The levers are almost the same; AEO merely sharpens the focus on the citation.
Practice
The levers: how to write citably
Answer engines extract, weigh and cite passages. Anything that makes these three steps easier increases the chance of a citation.
- Give the answer first. A concise, self-contained answer goes up top — in the first paragraph, understandable even without the rest of the page. This is the most important principle of AEO.
- Work in Q&A and FAQ format. Questions the way people ask them, with direct answers below. Answer engines map their prompts more easily onto clearly worded questions.
- Provide structured data.
FAQPage,HowToandArticleas JSON-LD make the meaning machine-readable — and the visible text must match it exactly. - Clarify entities and authority. Who is writing, about what, with what grounding? Clear entities and established authority lower the risk of being omitted or confused.
- Deliver fresh, verifiable facts. Visible timestamps and checkable statements. What can be substantiated is more likely to be picked up than an unsupported claim.
- Build snippet-ready passages. One thought per sentence, short self-contained paragraphs. A passage that holds true even outside its context is a passage that can be cited.
Platforms
How the engines find sources
Every answer engine sources its material differently. Anyone optimizing for them should know what they draw on.
| Engine | Source basis | Citations |
|---|---|---|
| Google AI Overviews | Google index in combination with Gemini | references within the overview |
| Perplexity | live retrieval from the open web | visible citations with source attribution |
| ChatGPT Search | Bing index and its own sources, among others | linked sources in the answer |
| Bing Copilot | Bing index | linked sources in the answer |
The conclusion is unspectacular: whoever is classically well indexed (Google, Bing) and additionally writes citably covers most engines at once. Live-retrieval systems like Perplexity additionally reward fresh, clearly liftable passages.
Measurement
How to measure AEO
Classic rankings say little about whether an answer engine cites you. The relevant metric is the frequency of mentions and citations in AI answers.
- What you measure
- The mention and citation frequency of your own domain in generated answers.
- How you measure
- Repeatedly put a defined set of relevant questions to the engines and log whether and how the domain appears as a source.
- What you don't claim
- No invented click or percentage figures — the data situation is young, and verifiable observation beats any wishful statistic.
Reference
Frequently asked questions
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization (AEO) is the practice of preparing content so that AI answer engines cite and link to it as a source. The goal is not the blue link, but the mention in the generated answer itself — for example in ChatGPT, Perplexity or Google AI Overviews.
What is the difference between AEO and GEO?
AEO and GEO overlap heavily. GEO (Generative Engine Optimization) is the broader term for visibility in generative systems as a whole. AEO is narrower and targets the direct answer: citable passages and source links in answer engines. Anyone doing AEO is almost always doing GEO too.
How do you get cited in ChatGPT?
ChatGPT Search draws on the Bing index and its own sources, among others. A page becomes citable through a concise, self-contained answer up top, clear entities and authority, a Q&A or FAQ format, plus verifiable, fresh facts. Passages that hold true even outside their context are more likely to be picked up.
How do you get cited by Perplexity?
Perplexity works with live retrieval and shows visible citations with source attribution. It favors pages from which a short, clearly worded passage can be lifted directly. Self-contained paragraphs, clean headings and verifiable statements increase the chance of being listed as a visible source.
How do you optimize for Google AI Overviews?
Google AI Overviews use the Google index in combination with Gemini. Optimization means: stay classically indexable and crawlable, give the answer first, provide structured data such as FAQPage, HowTo and Article, and establish authority through clear entities. Snippet-ready passages are preferentially pulled into the overview.
How do you measure AEO success?
AEO success is measured by the frequency of mentions and citations in AI answers, not primarily by classic clicks. For a defined set of relevant questions, you check whether and how often your own domain shows up as a source in the answers from ChatGPT, Perplexity and Google AI Overviews.
E-E-A-T
How KAMINSKI+ practices this
We don't just assert these principles — we build the website according to them. Our Grounding pages are FAQPage and grounding pages on which visible text and JSON-LD match exactly, one fact per sentence, with visible timestamps. The Guide records the writing rules that make a passage citable, and the reference on GEO places AEO within the larger picture of generative visibility. For us, grounding is not theory but the method of construction.
FAQPage block, and the
@id values for person, organization and website mirror the rest of the graph of
kaminskiplus.de.