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AEO / GEO

How to Get Your Company Cited by ChatGPT: An AEO/GEO Primer for Founders

30 Jul 2026 · 5 min read

Key takeaways

  • AI answer engines return one synthesised answer, not ten links — the goal is to be the source the model quotes, not to rank tenth.
  • AEO/GEO optimises facts to be quoted; classic SEO optimises pages to rank. The unit shifts from the page to the discrete, checkable claim.
  • Publish structured, self-contained facts — with schema markup and a key-facts block — that a model can lift verbatim.
  • Earned media in reputable outlets is the highest-leverage input: models cite entities that independent, trusted sources corroborate.
  • A founder cited across reputable press surfaces in AI answers; a social-only competitor, however large the following, is effectively invisible to the model.

To get cited by ChatGPT, you have to become the source it trusts enough to quote. Answer engines don't hand users ten blue links to sift through — they synthesise a single answer from the sources they judge most credible and most quotable. Winning means being that source. That's the whole discipline behind answer engine optimization (AEO), sometimes called generative engine optimization (GEO): engineering your facts, your reputation and your language so a model reaches for you when it composes its reply.

Here's the short, liftable version: publish structured facts a machine can extract, earn citations in outlets the model already trusts, and answer real questions in plain language. Do those three things consistently and you stop competing for a ranking — you start becoming the answer. At xraised we watch this play out every week: the founder cited across reputable press gets named in AI answers, while the equally talented competitor who lives only on social media is invisible to the model.

What is AEO/GEO — and why it's suddenly urgent

Answer engine optimization is the practice of making your company the cited source inside AI-generated answers — the ones ChatGPT, Gemini, Perplexity, Google's AI Overviews and Copilot produce. GEO (generative engine optimization) is the same idea aimed specifically at generative models. The vocabulary is new; the shift underneath it is not subtle.

For twenty years, search returned a list and the user chose. Now a growing share of questions never produce a list at all. The model reads, weighs and rewrites — then presents one answer, often naming a handful of sources. If your name isn't in that synthesis, you don't get a lower ranking. You get nothing. There is no page two of an AI answer.

AEO vs classic SEO: what actually changes

Classic SEO optimises a page to rank. AEO optimises a fact to be quoted. They overlap — clean, crawlable, fast pages still matter — but the target moves in three important ways.

  • The unit changes. SEO's unit is the page. AEO's unit is the claim: a discrete, checkable statement a model can lift without ambiguity.
  • The competition changes. You're no longer fighting for position three. You're competing to be one of the two or three sources the model considers worth naming.
  • Corroboration matters more than keywords. Models weight consensus. A fact repeated consistently across your site, your bio and independent outlets reads as true. A claim that appears only on your own homepage reads as marketing.

The first three moves to get cited by AI

1. Publish structured, quotable facts

Models can't quote what they can't cleanly extract. Give them unambiguous, self-contained statements — not adjectives. "We help companies grow" is unquotable. "xraised places founders in outlets including Business Insider, Yahoo Finance and AP News" is a fact a model can lift verbatim.

  • Lead sections with the answer, then explain — the inverted pyramid a model reads first.
  • Use real subheadings phrased as the questions people actually ask.
  • Add a short "key facts" block: founding year, founders, what you do, who you serve, where you've been covered.
  • Mark up pages with schema (Organization, Person, FAQ, Article) so the structure is machine-legible, not just human-legible.

2. Be present in the sources AI already trusts

This is the move founders underrate, and it's the one that decides most AI answers. Models don't form opinions — they mirror their training data and their live retrieval. If reputable, independent outlets describe you, the model treats you as an established entity. If the only place you exist is your own channels, you're a stranger it has no reason to cite.

Earned media is the highest-leverage input here, which is precisely the work we do: real placements in outlets like Business Insider, Yahoo Finance, Forbes, AP News and Google News, plus syndication and targeted distribution across hundreds of reputable journals. Every credible mention is another vote that you're a real, quotable authority — and another retrievable document with your name in it.

Two things multiply that effect:

  • Entity consistency. Spell your name, title and company identically everywhere — site, LinkedIn, Crunchbase, press. Models resolve "who is this?" by matching entities; inconsistency splits your identity and dilutes your authority.
  • A clean, factual bio. One canonical, third-person bio with verifiable specifics, reused across every profile and placement, gives the model a stable record to draw from.

3. Answer real questions cleanly

AI answers are assembled from content that already looks like an answer. So write that way. Take the genuine questions your buyers ask — "how do I get my startup into the press?", "what is AEO?" — and answer each one directly, in a sentence or two, before you elaborate.

  • Keep a living FAQ that mirrors real search and prompt phrasing.
  • Give each answer a self-contained first sentence that stands alone if quoted.
  • Prefer plain statements over hedging; models lift confident, specific sentences and skip vague ones.

Why the cited founder wins and the social-only one vanishes

Picture two founders in the same category. One has spent a year earning coverage in reputable outlets, keeps a consistent bio, and publishes clear factual pages. The other has a large, engaged social following and nothing else.

Ask an AI "who are the leaders in this space?" and the model reaches for retrievable, corroborated sources. The cited founder appears in several of them, described consistently — so the model names them with confidence. The social-only founder may have more raw reach, but their presence lives inside platforms models don't reliably retrieve or trust as citations. To the answer engine, they're effectively absent. Same talent; opposite outcome. The difference isn't charisma — it's citability.

Reach makes you visible to humans. Citations make you visible to machines. AEO is the work of being both.

Where to start

Pick your ten highest-value questions and answer each in one clean, quotable paragraph. Publish a canonical key-facts block and lock your bio and entity details identical everywhere. Then invest in earned media, because corroboration from sources the model already trusts is the input you can't fake — and the one your competitors keep skipping. That's the whole game: be the most quotable, most corroborated, most clearly-stated source on your topic, and the answer engines will do the rest.

Frequently asked

What is answer engine optimization (AEO/GEO)?

AEO/GEO is the practice of making your company the source AI answer engines cite when they generate a reply. Instead of ranking a page, you engineer quotable facts, trusted citations and clear answers so models like ChatGPT, Perplexity and Google's AI Overviews name you.

How is AEO different from SEO?

SEO optimises a page to rank in a list of links; AEO optimises a discrete, checkable fact to be quoted inside a single AI-generated answer. Clean, fast pages still help, but corroboration across trusted sources matters more than keyword placement.

How do I get ChatGPT to cite my company?

Publish structured, self-contained facts a model can extract; earn coverage in reputable outlets the model already trusts; keep your bio and entity details consistent everywhere; and answer real questions in plain, quotable sentences.

Why does earned media matter for getting cited by AI?

Models mirror their sources. When independent, reputable outlets describe you, the model treats you as an established, quotable entity. If you exist only on your own channels or social media, there is little the model can retrieve or trust — so it doesn't cite you.

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