Following one number back to its source
We asked ChatGPT, Perplexity, Gemini, Claude and Google’s AI Overviews 200 questions that call for a number, the kind people ask every day. Then we clicked the citations, and kept clicking. Here is one trail, from the answer to the end.
Google AI Overviews
What percentage of salespeople give up after one follow-up?
44% of salespeople give up after just one follow-up attempt.
44% of salespeople give up after one follow-up attempt (source).
80 Percent of Sales Require 5 Follow-up Calls after Meeting; 44 Percent Salespeople Give Up After One Follow-up
No study behind itThis page cites no research.
- In the answer
Every assistant got the same question: “What percentage of salespeople give up after one follow-up?” All five assistants gave the same figure, and only ChatGPT said the evidence behind it was unclear.
- One click in
Google AI Overviews cited a sales firm’s stats page, from 2020. The number is right there. Its “source” link goes to a writing sample.
- Two clicks in
That leads to a freelance writer’s sample article, online by 2017. The number is in its headline. It lists two slide decks, a blog list and two news stories. None is a study of follow-ups.
- The end of the trail
That’s where the trail ends. We tried every other route to this number we could find, and each one stopped at a page that cites no research. This is what we mean by a zombie stat: a number that keeps getting repeated with no study behind it.
Most numbers aren’t like this one. The trouble is that you can’t tell which ones are from the answer. This one came with the same confident tone and the same kind of citation as any other, and all five assistants agreed on it. So we followed 1,285 statistics the same way.
Fewer than half lead back to a study
We took a random sample of the statistics each assistant cited, 1,285 in all, and walked every trail the same way: the cited page, then that page’s source, up to five pages deep. Where a page named a source without a link, we searched for it.
40% reached a study that says the same thing. Another 8% reached the study, but the number or its context had changed on the way. The rest never got there: 40% stopped at a source we couldn’t check, because it was locked, gone or silent on the number, and 11% led nowhere at all.
Four in ten trails reached a study that says the same thing
Each square is one in a hundred of the 1,285 statistics we traced, sorted by where its trail ended.
- 40%SourcedWe found the study, and it says the same thing.
- 8%ChangedWe found the study, but the number, who was asked, where or when is different.
- 40%Can’t checkA page names a real source, but the number isn’t in it, or the source is locked or gone.
- 11%NowhereNo study anywhere on the trail. Every page repeats the number and credits no one.
The last 1%: trails whose pages wouldn’t load for us.
ChatGPT did best, and quoted the fewest numbers: 1.3 per answer, against 6.8 for Claude. The other four landed between 38% and 46%, too close to rank.
ChatGPT quoted the fewest numbers, and sourced the most
The same hundred squares for each assistant, from its own sample of cited statistics.
ChatGPT
57% sourced
1.3 statistics per answer
Perplexity
46% sourced
2.2 statistics per answer
AI Overviews
39% sourced
4.8 statistics per answer
Gemini
38% sourced
6.2 statistics per answer
Claude
38% sourced
6.8 statistics per answer
To check this wasn’t down to the questions we picked, we also traced 300 statistics from Google AI Overviews answers to real everyday searches. 40% were sourced, about the same share.
AI mostly cites pages that repeat the number
The AI mostly wasn’t making numbers up. The page it cited had the figure 82% of the time. But only 21% of the pages cited for a number were the original research.
More than half were company blogs. Add news stories and statistics roundups and you have most of the citations: pages that repeat figures from somewhere else, often without linking to it.
How often each kind of cited page led to the study
Every page an assistant cited first for a number, by kind. Each column’s width is its share of those citations. Green is how often its trails reached a study that says the same thing.
62%
Research firm13% of citations
Research firm or survey: 13% of first citations, 62% of them sourced.
61%
Government7% of citations
Government or official body: 7% of first citations, 61% of them sourced.
37%
Company blog54% of citations
Company blog: 54% of first citations, 37% of them sourced.
37%
News10% of citations
News or magazine: 10% of first citations, 37% of them sourced.
35%
Stats roundup8% of citations
Stats roundup: 8% of first citations, 35% of them sourced.
41%
Other8% of citations
Other: 8% of first citations, 41% of them sourced.
The first page made a big difference. When a trail started at a research firm or a government page, it reached a matching study 61% of the time. From a company blog, 37%; from a statistics roundup, 35%. Even research firms fell short 38% of the time, often because the full report sat behind a form.
A citation tells you where the AI found a number, not where the number came from.
Some numbers change along the way
Reaching the study didn’t always mean the number held. Of the statistics that got there, 17% had changed on the way. The digits moved only about one time in four. Usually it was the context: what was measured, the year, the source, or who was asked.
What changed, across every change we logged
- The number changed
- 26%
- What was measured changed
- 20%
- The year changed
- 17%
- The source changed
- 16%
- Who was asked changed
- 14%
- The place changed
- 4%
In one case, a 2004 study of 15 women judging health websites turned into a claim about first impressions of every website. Below are the clearest trails we followed, each checked by hand.
Watch a number lose its context
Each trail runs from the original study to an answer an assistant gave in October 2026. Step along it: the number stays, and the words around it change.
AskedWhat percentage of first impressions of a website are design-related?
The study · Sillence and colleagues, CHI, 2004
Of the comments 15 women made about rejecting or mistrusting health websites, 94% were about design.
A 2004 study watched 15 British women judge health websites, and 94% of their comments about rejecting a site were about design. Twenty years of retelling made it “94% of first impressions are design-related”, and Google AI Overviews states it as fact.
Step 1 of 4
The zombie stats
Ask five assistants the same question and you’ll often get five different numbers. On 28 of the 71 questions where all five gave a percentage, we got four or five different figures.
One question, five answers, from 49% to 96%
Asked “What percentage of marketers use marketing automation tools?”, word for word, on the same day.
0%100%
49–51%AI Overviews
62%ChatGPT
70–79%Gemini
81%Perplexity
96%Claude
ChatGPTThere isn’t one universal figure, it varies by survey and what counts as “marketing automation.” One commonly cited survey found 62% of U.S. digital marketers used automation software, but that data is from 2020, so it may not reflect current adoption.
PerplexityApproximately 81% of marketing organizations use marketing automation.
GeminiAcross major industry benchmarks, between 70% and 79% of marketers and companies use marketing automation tools in some capacity
Claude96% of marketers have used a marketing automation platform or plan to use one
AI OverviewsRoughly 49% to 51% of companies and marketing teams currently use marketing automation tools, according to industry benchmarks from Moosend and related research studies.
Across those questions, the typical gap between the highest figure and the lowest was 16 points.
On 31 of 71 questions, the five figures were 20 points or more apart
Every question where all five gave a percentage, one line each, from the lowest figure to the highest. Closest at the top.
Closest20 points or more apartFurthest apart
When all five agreed, the number wasn’t any more likely to check out. They gave the same figure on 10 questions, and of the 5 we traced, 2 were sourced. The statistics quoted by three or more assistants did no better: 11 of 29 were sourced.
Four were quoted by all five assistants, and we couldn’t find a study behind any of them.
Numbers every assistant quoted, with no study we could find
Four statistics every assistant gave us, each with a trail that ends at a page citing no research.
- 44%
Salespeople who give up after one follow-up
Every trail ends at a page that cites no research, one of them a freelance writer’s sample article. Its full trail opens chapter 1.
Quoted by all five
- 90%
Social media users who follow at least one brand
Stated with no source. No study with this figure was found.
Quoted by all five
- 75%
Searchers who never scroll past the first page of results
Repeated with no source, often credited to an old marketing roundup that no longer carries it. No study was found.
Quoted by all five
- 5 to 25 times
How much more it costs to win a customer than to keep one
A 2014 Harvard Business Review article gives the range “depending on which study you believe”, and names none.
Quoted by all five
The 29 statistics AI repeats most
Each was quoted by at least three of the five assistants, most often first, and its trail checked by hand.
- 95%5 of 5ChangedStudy from 2025
Generative AI pilots that fail to deliver a measurable financial return
MIT NANDA’s 2025 report says 95% of organizations got no return from generative AI. That isn’t the same as 95% of pilots failing.
- 44%5 of 5Nowhere
Salespeople who give up after one follow-up
Every trail ends at a page that cites no research, one of them a freelance writer’s sample article. Its full trail opens chapter 1.
- 4% to 10%5 of 5ChangedStudy from 1979
Unhappy customers who actually complain
Goes back to TARP’s 1979 research for the White House consumer office. Its author says rates that low apply to small purchases; in 2016, 22% to 41% complained about their most serious problem.
- 2 hours 21 minutes5 of 5SourcedStudy from 2025
Time people spend on social media each day
DataReportal’s Digital 2025 report, from GWI survey data: the typical internet user spends 2 hours 21 minutes a day on social media.
- 46%5 of 5Can’t check
Google searches with local intent
Traces to a 2018 social post about a slide at a search conference. Google never published it, as far as we could find.
- 90%5 of 5Nowhere
Social media users who follow at least one brand
Stated with no source. No study with this figure was found.
- 94%5 of 5ChangedStudy from 2004
First impressions of a website that are about its design
Began as a 2004 study of how 15 women judged health websites. Its full trail is in chapter 4.
- 75%5 of 5Nowhere
Searchers who never scroll past the first page of results
Repeated with no source, often credited to an old marketing roundup that no longer carries it. No study was found.
What to do with a statistic from an AI
Treat it as a lead rather than a source. Here’s what we’d do, whether you use these numbers or publish them.
If you use them
Follow the citation, then follow it again.
If the cited page is a list of statistics or a company blog, use its own link to go one page further. Keep going until you reach the study itself, or until you can’t.
Check who was asked, how many, and when.
Most of the changes we found were in the context, not the digits: one country’s poll, a ten-year-old study, fifteen people.
Don’t take agreement as a check.
Five assistants giving the same number isn’t five sources. The numbers they repeated most were no better sourced than the rest.
If you publish them
Put the method next to the number.
The sample, the date and a link to the source, on the same page as the figure, so the next page, and the next answer, can trace it back to you.
Keep the findings in the open.
Reports behind a form were a common dead end: even trails that started at a research firm fell short 38% of the time. Put the headline numbers and the method on an open page.
See which page AI cites for your numbers.
It is often a roundup or a blog that copied you, sometimes with an older figure. That page decides what people hear.