Three Signals That Get You Cited
Most advice about AI-search visibility is vibes. This post is about the exception: three content signals that were experimentally tested against real generative engines, in peer-reviewed research, and shown to move citation outcomes. They are unglamorous, they are installable on any business website this week without new budget or new tooling, and in our experience scoring sites daily, almost nobody has them in place. Here is the evidence behind the three, and the installation manual for each one.
The research behind the three
In 2023–2024, a research team led from Princeton did what the industry had only speculated about: they systematically modified web content, ran it through generative engines, and measured what actually changed citation visibility. The result was "GEO: Generative Engine Optimization" (Aggarwal et al., KDD 2024) — the paper that gave the field its name.
We demonstrate that GEO methods can boost visibility by up to 40% in generative engine responses.—Aggarwal et al., "GEO: Generative Engine Optimization," KDD 2024
Among the many interventions the team tested against live engines, three stood out as consistent winners: adding statistics, adding quotations, and adding citations to sources. Just as instructive is what underperformed: classic keyword stuffing did little. Engines composing answers are not counting keywords; they are hunting for material they can attribute. All three winning signals are the same thing in different clothes — attributable specificity.
Signal 1: Statistics — give the engine a number to carry
When an engine writes an answer, a sentence containing a specific, sourced figure is a sentence it must credit. "AI Overviews now appear on roughly 48% of Google queries, up from about 15% in early 2026" is citable; "AI search is growing fast" is something the model says on its own, thanks, without you.
Installation: On each priority page, replace your three vaguest claims with numbers. Your own operational data is best — jobs completed, years measured, results tracked — because it exists nowhere else. Reputable third-party statistics work too, if attributed cleanly: source name, ideally a link, current year. An unattributed number is barely better than an adjective; attribution is what converts a digit into evidence.
Signal 2: Quotations — give the engine a voice to borrow
Engines quote people, not brands in the abstract. A crisp sentence from a named human with stated credentials is retrievable, attributable, and — critically — not the engine's liability. Pages written entirely in anonymous corporate third-person contain no one to quote, so they get quoted exactly that often.
Installation: Add one genuinely quotable statement from a named person to each priority page — the owner, the lead technician, the practitioner. Format it as an actual quotation with attribution, not paraphrase. The test for "quotable" is simple: would the sentence survive being lifted out of the page alone? "Every AI citation is a loan of the engine's credibility" travels; "we take a customer-first approach" does not.
Signal 3: Source citations — show the engine you did the reading
The third signal is the one that feels most counterintuitive to marketers: linking out. Content that references authoritative external sources — research, standards bodies, official documentation — reads to an engine as evidence-backed rather than asserted. It is the difference between a witness and an opinion. According to the KDD 2024 findings, cited content was consistently more visible in generated answers; according to what we observe across the five major engines, sources that cite behave like sources worth citing.
Installation: For each priority page, find your two or three load-bearing claims and reference the authority behind them. "According to..." is the load-bearing phrase. If a claim has no findable authority behind it, that is worth knowing too — either it is your original expertise (say so explicitly) or it is filler (cut it).
A worked example, before and after
Abstract advice sticks better with a concrete rewrite. Here is a typical service-page sentence: "We're one of the most experienced roofing companies in the area, known for quality work." Zero signals — nothing to attribute, nothing to check, nothing to carry into an answer. The three-signal version: "We've replaced over 1,400 roofs in this county since 2009, and our repair-versus-replace assessments follow the inspection standards published by the roofing manufacturers' association. As our founder puts it: 'If a repair will honestly buy you five good years, we'll tell you — a roof you don't need is the most expensive one we sell.'" Same business, same facts the owner already knew — but now there is a statistic an engine can cite, a source it can verify, and a sentence it can quote. That rewrite took four sentences, not a content strategy. Multiply it across your five most important pages and you have done more evidence work than most of your industry.
Why the combination matters more than any one signal
The three signals corroborate each other. A statistic gains force when its source is cited; a quotation gains force when the speaker is credentialed; a citation gains force when it supports something specific. A page carrying all three reads — to a machine deciding what to stake its credibility on — like a document built from evidence. In a landscape where industry analyses find a large majority of brands have zero AI mentions and most business pages contain none of the three signals, a page with all of them is not incrementally better. It is frequently the only citable candidate in the retrieval pool.
One honest caveat: the 40% figure came from specific engines and query sets, and results vary by domain and competition. The direction, however, has held up in everything we measure, and the signals cost almost nothing to install. Few marketing bets offer published experimental evidence, near-zero cost, and an empty competitive field simultaneously. This one does, and it expires the way all empty fields do — one competitor at a time.
Frequently asked questions
Where do the three signals come from?
From the study "GEO: Generative Engine Optimization" by Aggarwal et al., published at KDD 2024 — research led from Princeton that experimentally tested content interventions against real generative engines. Adding statistics, quotations, and source citations measurably raised how often and how prominently content appeared in AI answers, with improvements up to 40% in their benchmarks.
Do the signals work if I don't have original data?
Yes. The signals are about attributable specificity, not exclusivity. Citing reputable third-party statistics with clear attribution, quoting named experts (including your own staff, with their credentials), and referencing authoritative sources all qualify. Original data is stronger where you have it, but properly attributed borrowed evidence beats unattributed assertion every time.
Can I overdo the three signals?
Yes — stuffing pages with irrelevant numbers and decorative quotes recreates keyword stuffing with new material, and engines are good at spotting content that performs evidence rather than containing it. The signals work when they genuinely support claims a buyer cares about. Density should follow substance, not the reverse.
Want to know your evidence density right now? Get your free AI Readiness Score — it measures all three signals across your site — or see plans and pricing.