# Answer Engine Optimization (AEO): getting cited in ChatGPT, Perplexity & Google AI Overviews

> Machine Web · Reference · Updated: 2026-07-03

**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.

## 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 measured 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. Only the goal shifts from the ranking to the citation.

## AEO and GEO: the difference

AEO and [GEO](/en/machine-web/geo/) overlap heavily and are often used interchangeably.

- **GEO (Generative Engine Optimization)** is the broader term — visibility in generative systems as a whole.
- **AEO (Answer Engine Optimization)** is narrower and targets the direct answer: the citable passage and the visible source link.

Anyone doing AEO is almost always doing GEO too. The levers are almost the same; AEO merely sharpens the focus on the citation.

## The levers: how to write citably

1. **Give the answer first.** A concise, self-contained answer goes up top, understandable even without the rest of the page. The most important principle of AEO.
2. **Work in Q&A and FAQ format.** Questions the way people ask them, with direct answers below.
3. **Provide structured data.** `FAQPage`, `HowTo` and `Article` as JSON-LD — the visible text must match it exactly.
4. **Clarify entities and authority.** Clear entities and established authority lower the risk of being omitted or confused.
5. **Deliver fresh, verifiable facts.** Visible timestamps and checkable statements are more likely to be picked up.
6. **Build snippet-ready passages.** One thought per sentence, short self-contained paragraphs — a passage that holds true even outside its context.

## How the engines find sources

| 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 |

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.

## How to measure AEO

The relevant metric is the **frequency of mentions and citations in AI answers**, not the classic ranking. You repeatedly put a defined set of relevant questions to the engines and log whether and how your own domain appears as a source. No invented click or percentage figures — verifiable observation beats any wishful statistic.

## 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 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. 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 answer up top, clear entities and authority, a Q&A format, plus verifiable, fresh facts.

**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.

**How do you optimize for Google AI Overviews?**
Google AI Overviews use the Google index in combination with Gemini. Optimization means: stay classically indexable, give the answer first, provide structured data and establish authority through clear entities.

**How do you measure AEO success?**
AEO success is measured by the frequency of mentions and citations in AI answers, not by classic clicks. For a defined set of questions, you check whether and how often your own domain shows up as a source.

## How KAMINSKI+ practices this

We don't just assert these principles — we build the website according to them. Our [Grounding pages](/en/facts/) are FAQPage and grounding pages on which visible text and JSON-LD match exactly. The [Guide](/en/leitfaden/) records the writing rules that make a passage citable, and the reference on [GEO](/en/machine-web/geo/) places AEO within the larger picture.

## Further reading

- [Machine Web (overview)](/en/machine-web/) — all reference topics
- [GEO — Generative Engine Optimization](/en/machine-web/geo/) — the broader frame around AEO
- [Guide](/en/leitfaden/) — the writing rules for citable passages
- [Grounding pages](/en/facts/) — FAQPage & grounding in practice