What is Answer Engine Optimization (AEO)?

AEO is the practice of structuring your content so AI answer engines — ChatGPT, Perplexity, Google's AI Mode and Overviews — quote and cite it in their responses. Where classic SEO optimises for a ranked list of links, AEO optimises to be the source inside a synthesised answer. The overlap with good SEO is large; people often say AEO is 90% just SEO done well.

How do I get ChatGPT or Perplexity to cite my content?

Lead with verifiable, specific statistics; keep content fresh (Perplexity favours pages published within the last 12 months); answer one clear question per page; use clean structure with direct claims AI can lift; and build presence where these engines look, including Reddit, which accounts for a striking share of Perplexity's citations. ChatGPT in non-search mode leans on what it learned in training, so durable authority matters too.

Is AEO replacing SEO?

Not replacing — extending. The fundamentals (useful content, crawlable structure, real authority) still decide whether you're visible. AEO adds a layer: making your claims quotable, current, and specific enough that an AI is comfortable citing them. Treat it as SEO with a citation-shaped goal, not a separate discipline.

How to get cited by AI search: a practical AEO guide

AI Overviews now appear on more than a quarter of Google searches, and a growing slice of questions never reaches a list of blue links at all — the answer is synthesised on the spot. That shifts the goal of content from ranking to being cited. Answer Engine Optimization (AEO) is how you become the source an AI quotes. The good news: it's roughly 90% just SEO done well. The new 10% is what this guide is about — the specific moves that get ChatGPT, Perplexity, and Google's AI Mode to name you.

What actually changed

Classic SEO competes for a ranked list. AEO competes to be the sentence inside the answer, with your name on the citation. The fundamentals still gate everything — useful content, crawlable structure, genuine authority — but the winning shape of a page changed: it has to be quotable.

The signals that earn citations

Lead with verifiable statistics. Embedding specific, citable numbers is the single highest-impact move — one analysis pegged it at a ~40% lift in citations. AI engines love a concrete figure they can attribute.
Stay fresh. Perplexity favours content published within the last 12 months. A visible, recent date and genuine updates matter more than they did for SEO.
Answer one clear question per page. Synthesis engines lift clean, self-contained claims. Bury the answer and they skip you.
Be where the engines look. Reddit accounts for a remarkable share of Perplexity's citations — community presence is now a discovery channel, not a vanity one.
Build durable authority. ChatGPT outside search mode answers from what it absorbed in training, so being broadly referenced over time keeps you in the answer even when nothing is retrieved live.

Platform differences

Engine	What it favours	Shows citations?
Perplexity	Freshness, clear sources, Reddit	Always, clickable
ChatGPT (search)	Retrieved, current pages	Yes, in search mode
ChatGPT (default)	Training-era authority	Rarely
Google AI Mode / Overviews	Classic SEO signals + structure	Sometimes

A short checklist

One question per page, answered in the first paragraph.
At least one specific, sourced statistic near the top.
A real, recent publish/update date.
Clean headings and direct claims an AI can lift verbatim.
Presence in the communities your buyers actually read.

The clarity this rewards is the same clarity that makes a good prompt work — say one thing, plainly, with evidence. It's no accident that the discipline behind a system prompt that travels across GPT, Claude, and Gemini is the same discipline behind a quotable page.

Where this fits

AEO is a bet on where attention is going, and the search market numbers say the bet is sound. For how the answer engines stack up against each other and against Google, see Perplexity vs ChatGPT Search vs Google AI Overviews. And when you're testing how you appear across engines, running the same query through multiple models in one place — like oran.chat — turns an afternoon of tab-switching into one pass; try it free. More in Playbooks.