Originally published on LetsLaunch.
Search "how to get cited by ChatGPT" and you'll find no shortage of people
selling a method. Almost none of them link to a study. The ones that do
usually link to the same one, and usually overstate what it found.
We went and read it, plus what's been published since. This is the honest
version: one real result worth knowing, a real and important gap in what it
proves, and a short list of things that correlate with being named by an
assistant — stated as correlations, because that's all any of this currently
is.
The one study doing real work here
In November 2023, researchers from Princeton, the Allen Institute for AI,
Georgia Tech and IIT Delhi published GEO: Generative Engine Optimization —
the paper that put a name to this whole field. It later appeared at KDD 2024.
They built GEO-BENCH, a set of roughly 10,000 queries across nine domains, and
tested nine content-editing strategies inside a generative-engine prototype to
see which ones changed how often a source got cited in the answer. Two
strategies stood out clearly above the rest: adding quotations from
authoritative sources, and adding relevant statistics. Both produced
visibility gains in the range of 22-41% depending on domain. Citing sources
within the content helped too, by a smaller margin. Keyword stuffing — the
one tactic everyone already knew how to do from a decade of classic SEO —
measurably hurt, performing worse than making no changes at all.
That's a genuinely useful finding, and it's the most rigorous data point in
this entire field as of writing.
The gap almost nobody mentions
Read that paragraph again and notice what it does not say. It does not say
"we changed a real webpage and ChatGPT started citing it." It says a
benchmark, built by the researchers, running against a generative-engine
prototype, showed a visibility lift when content included quotes and
statistics.
That's a controlled measurement of a mechanism, not a field result. It tells
you that language models, when generating an answer, respond to the presence
of quotable, specific claims in candidate source text — which is a
believable and useful thing to know about how these systems work. It does not
tell you that adding a statistic to your homepage will get you cited by the
ChatGPT and Perplexity people actually use, which run different retrieval
pipelines, different ranking layers, and different citation logic than a 2023
research prototype, and which nobody outside those companies can fully
observe.
Most of the "GEO checklist" content published since 2024 quietly drops that
distinction and presents the benchmark's percentages as if they were measured
on production ChatGPT. We're not going to do that. The mechanism is real and
worth designing content around. The specific percentage is not a promise
about your specific page.
What's observable about real platforms, separate from the study
A few things about how ChatGPT, Perplexity and Google AI Overviews actually
pick sources are visible from the outside, without needing lab access:
- They don't all pull from the same pool. Independent analyses of what gets cited show ChatGPT leaning heavily on general reference sources like Wikipedia, while Perplexity leans toward forum and discussion content like Reddit, with a strong preference for recent material. These are different retrieval habits, not one "AI search" behaviour.
- Ranking well in Google is not the same contest. Multiple 2026 cross-platform studies put the overlap between an assistant's cited sources and Google's own top-10 results well under half, with estimates ranging roughly from one in eight to just over one in three depending on methodology and query type. The studies disagree on the exact number because they measure different platforms and query sets — but they agree on the direction: doing well in classic search does not reliably predict getting cited by an assistant. It's a related contest, not the same one.
- Being readable is a precondition, not a strategy. None of the above matters if the crawler behind the assistant can't retrieve your content in the first place — see our breakdown of what actually makes a page invisible to AI crawlers if you haven't confirmed yours can be read.
What we're not going to tell you
Some things routinely get claimed in this space with no study behind them at
all, and we'd rather say so than repeat them:
That FAQ schema increases citation rate. We've seen no evidence for it —
structured data has real, separately-documented uses in classic search, but
nothing published shows it moving AI citation.
That a directory listing, ours or anyone else's, causes an assistant to cite
you. It's an obvious thing for a directory to want to be true, which is
exactly why it deserves suspicion instead of a marketing page. G2 and
Capterra carry more domain authority than almost any product page that could
ever link to them, and receive close to no AI citations — if raw authority
were the mechanism, they'd dominate every category. They don't.
That an "AI visibility score" from some tool measures anything stable. Asking
a model whether it knows a product and recording the answer isn't
measurement — between 9% and 28% of such answers flip on a repeated identical
prompt, even at temperature zero. A single check dressed up as a score out of
100 is closer to a coin flip than a metric.
What's actually worth doing with limited certainty
Given all of the above, here's what survives: make sure your content is
retrievable at all — no JavaScript-gated text, correct robots rules, real
HTML, checkable in about a minute. Where you do
write about your own product, prefer specific, quotable claims and real
numbers over adjectives — the one mechanism with an actual controlled
measurement behind it. Describe the product the same way across every page
that mentions it, your own site included, since consistent description
correlates with being named, even though nobody has shown which particular
page causes it. And be skeptical of anyone selling you a guaranteed
mechanism, including us, when we don't have receipts for the claim.
What makes ChatGPT or Perplexity cite a source?
The most rigorous evidence is a 2023 Princeton study (GEO, published at KDD
2024) that measured a 22-41% visibility lift inside a research benchmark from
adding quotations and statistics to content, with keyword stuffing performing
worse than no change at all. That's a real, controlled finding about how
generative engines weigh content — but it was measured on a lab benchmark, not
on production ChatGPT or Perplexity, so treat the mechanism as real and the
exact percentage as not transferable to your page.
Does ranking well in Google get you cited by AI assistants?
Not reliably. Multiple 2026 studies comparing AI-cited sources against
Google's top-10 results found overlap well under half, though the exact
figure varies by study and platform. Classic SEO and AI citation appear to be
related but distinct contests — being crawlable and readable matters to both,
but ranking highly in one doesn't predict success in the other.
Is generative engine optimization (GEO) a proven discipline?
Partially. One mechanism — content with specific quotes and statistics
getting cited more than vague or keyword-stuffed content — has real,
peer-reviewed measurement behind it, from a controlled benchmark. Most other
claims circulating under the "GEO" label, including FAQ schema and directory
submissions as citation drivers, currently have no published evidence behind
them at all.
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