Search for AI-search statistics and you will find pages listing twenty or thirty numbers, sourced to blogs sourcing other blogs, with no indication of which figures survive contact with their primary sources. Several of the most-cited numbers on those pages are, checkably, wrong. This page is built differently: fewer numbers, each carrying an explicit verdict (verified, refuted, or circulating but unproven) with the reasoning attached. It is the statistics page we wanted to find and couldn't.
How these verdicts were reached.
In July 2026 we ran the most-circulated claims in the AEO/GEO literature through adversarial verification: trace each number to its primary source, read what the source actually measured, and try to refute the claim rather than confirm it. Twenty-five claims were tested; seventeen held in some form; eight failed outright. The debunked set is maintained, with full sourcing, in our standing AI-Search Mythbusting Register, which this page draws on and which gets refreshed as new claims are checked. Where a number below is ours, we say so; where a verdict could change with new evidence, the entry says what would change it.
Start here: the winnable third.
If you carry one number out of this page, carry this one. Analysis of ChatGPT's most-cited pages found that only about 32% are the kind of pages content or brand work can realistically influence. The remainder goes to Wikipedia, homepages, app stores, and reference sites that no marketing strategy touches. That is the honest, addressable size of the "AI visibility" opportunity: roughly a third of what the category's sales language implies.
Two things follow. Budgets should be sized against the contestable third, not against total AI answer volume. And within that third, the verified mechanics below say the game rewards specificity and verifiability, which is precisely where a narrow expert practice can beat a large generalist. The ceiling is lower than advertised. The odds inside it, for the right kind of operator, are better than advertised.
One more calibration before the numbers: being counted in an AI answer is not the same as being represented accurately in it. There are documented cases of an engine blending a source's real content into a quietly wrong composite — the affected business watching a wrong version of its own material served under its own brand name. No statistic below measures that fidelity dimension, because almost nobody measures it at all. We track it separately in client work, and any statistics page that ignores it is overstating what "visibility" means.
Verified: the demand shift.
Verified
8% vs 15% — click-through on traditional results with vs. without an AI summary present
Pew Research Center's direct measurement of real user behavior. The single most solid number in this field: when an AI summary answers first, clicking roughly halves.
Verified
26% vs 16% — search sessions ending with no click at all, with vs. without an AI summary
Same Pew measurement. The answer is increasingly the destination; the click is increasingly optional.
Verified — our data
~6x — growth in monthly search demand for "generative engine optimization" over two years (roughly 720 to 4,400 US searches/month)
Search-index estimate pulled August 2026; single-vendor data, directionally solid. "Answer engine optimization" shows the same shape from a smaller base. The category's attention is real, whatever its statistics are.
Verified: citation mechanics.
Verified
~12% — share of AI-cited pages that also rank in Google's top ten for the query
Ahrefs. The citation game is largely decoupled from the ranking game, which cuts both ways: ranking equity doesn't transfer automatically, and citation can be won without it. More dramatic versions of this decoupling claim circulate; this is the one that held.
Verified
Citation correlates with semantic relevance to the prompt, not brand authority directly
Measured via similarity between cited content and the query. The most specific, most complete answer to the actual question beats the biggest brand more often than the older discipline would predict.
Verified
No causal citation lift from adding schema markup — controlled test on 1,885 pages
The correlation is real (roughly half of AI-cited pages carry schema); the before/after experiment found no lift, with Google AI Overview citations declining slightly. Independently corroborated by a practitioner's testing. Schema is a clarity layer, not a citation lever — the full argument is in How AI Verifies You're Real.
Verified
67.8% vs 1.93% — ChatGPT's Reddit absorption vs. its Reddit citation rate
Ahrefs. Machines read far more than they credit. Being absorbed into answers without attribution is a common outcome, and tactics should be judged by which of the two they produce.
Verified
Freshness preference is real but platform-dependent — ChatGPT rewards recent content; Google AI Overviews cited the oldest content of any surface tested
One universal "keep it fresh" rule averages away opposite behaviors. Refresh strategy has to name its target platform.
Verified — our data
89% / 1.93 of 5 / 0% — one profession's AI-search infrastructure, audited across 130 firms
Clarion's 2026 audit of independent RIA digital infrastructure: 89% of firms surface in AI search (through directories they don't control), mean schema coverage 1.93 of 5, and zero firms linking their own regulatory record. Full methodology in The AI Visibility Gap.
Refuted: the eight that failed.
Each of these circulates widely, appears on ranking statistics pages, and did not survive checking against its primary source. Repeating them without the refutation label is how they stay alive. Full sourcing for every verdict is in the register.
Refuted
"GEO tactics boost AI visibility by up to 40%"
The most-quoted number in the category, attributed to the 2024 Princeton/Georgia Tech GEO paper. The paper is real; this reading of it did not survive verification. The paper's benchmark contribution stands on its own.
Refuted
"Wikipedia is the largest AI citation category at 29.7%"
The specific figure fails sourcing. Wikipedia's outsized share of citations is directionally true — it's a large part of why only a third of citation space is contestable — but this number is not the measurement of it.
Refuted
"Perplexity's results overlap Google's by 28.6%"
Failed primary-source checking. Overlap measurements exist, but this circulated figure isn't supported by the source it travels with.
Refuted
"80% of AI citations don't rank anywhere"
A more dramatic cousin of the verified ~12%-overlap finding. The direction is right; this number is not.
Refuted
"AI Overviews pull 76% of citations from the top 10"
Note that this claim and the previous one circulate simultaneously and contradict each other — a useful tell about the field's sourcing hygiene. Both failed verification.
Refuted
"Organic CTR has dropped 61%" (also circulated as 41%)
The real, measured click declines (see the Pew numbers above) are serious enough without inflation. These multipliers failed sourcing.
Refuted
"9 in 10 ChatGPT citations don't rank in the top 20"
Another over-dramatized decoupling figure. Use the ~12% overlap number; it survived.
Refuted
"AI engines prioritize multi-publisher consensus over single-source claims"
The "consensus layer" theory, often used to sell placement-everywhere packages. Failed verification; the supported correlate of citation is semantic relevance to the prompt, not repetition across publishers.
Circulating, unproven: the hold list.
These are not refuted. They are numbers we will not repeat as fact until their sourcing improves, and we suggest you hold them to the same standard.
Unproven — self-reported
"Top-ranking pages lose ~58% of clicks to AI Overviews"
Stated directly by a major SEO vendor about its own data, but the methodology is unaudited. More credible than the refuted CTR multipliers; not yet independent.
Unproven — source unidentified
"AI-cited brands see 35% more clicks"
Attributed on-screen in a popular video to a third-party study whose name is unclear. Until the study is identified and read, it's a rumor with a decimal point.
Unproven — measures belief, not behavior
"91% of marketers name freshness as the top AI-citation factor"
A survey of what marketers believe drives citation, not a measurement of what does. Marketer consensus has been wrong before; the verified freshness finding above is narrower and platform-split.
Unproven — category-wide
Every forward-looking prediction ("X% of queries will be answered by AI by year Y")
In our verification pass, no 12–24-month forecast in this field survived scrutiny of its basis. Analyst predictions are planning inputs, not measurements; treat every future-tense percentage accordingly.
How to read any AI-search statistic.
Four checks, applicable to every number you encounter in this field, including ours. First: is the primary source named, and is the citation to the source or to someone else citing it? Most circulation is citation-of-citation. Second: does the source measure behavior or belief? Surveys of marketers are belief. Third: is the claim causal or correlational, and does its seller know the difference? The schema case above is the canonical trap. Fourth: is it dated? The engines change quarterly; an undated statistic in this field is unfalsifiable. A number that passes all four is rare, which is why this page is shorter than the pages it competes with.
And a closing note on what the surviving numbers add up to, because a ledger without a reading is just a list. The demand-side figures say the answer layer is absorbing attention faster than most professionals have adjusted to. The mechanics say the new game scores specificity and verifiability over size, and scores them differently per platform. The winnable-third number says the opportunity is real and bounded. Put together: a narrow expert with verifiable claims and depth on the actual questions of their field is better positioned in this environment than they were in the ranking era, and a generalist buying volume is worse positioned. That asymmetry, not any single statistic, is the finding.
What to do with the numbers that survive is a separate question, and we've written it up in two places: the definitional ground in AEO vs GEO vs SEO, and the buildable mechanism in How AI Verifies You're Real. If you'd rather someone build it with you, that service exists, with its caveats attached in writing.
Questions people actually ask.
Is generative engine optimization a real thing?
Yes. The demand shift is measured, the term has an academic anchor, and attention to it has grown roughly sixfold in two years. What's frequently not real is the statistical case sold alongside it — hence this page.
What's the most reliable number here?
Pew's click measurements on the demand side; the ~12% citation/ranking overlap and the ~32% winnable share on the supply side. Those four will carry you through most decisions.
How much of AI search visibility is actually winnable?
About a third — and within that third, the verified mechanics favor specific, verifiable expertise over brand size.
Does schema markup improve AI citations?
Correlated, not causal: a 1,885-page controlled test found no lift from adding it. It matters for a different reason — machine-checkable claims — covered in the walkthrough.
Why do refuted statistics keep circulating?
They sell. Dramatic numbers close deals, most citations are citations of citations, and re-checking is rare. Rare enough, in fact, that doing it is this studio's entire opening argument.