If you are weighing whether to shift ad budget from Google Search into ChatGPT ads, a new independent study gives you the first large-scale, data-backed answer: on revenue per visit, ChatGPT ads are currently running well behind Google Search ads.The research, titled “Can Advertising Fund Free AI? Evidence from ChatGPT’s International Advertising Rollout,” is a working paper by Maximilian Kaiser and Christian Schulze, posted in October 2026 and picked up widely in the press from November 2, 2026 onward, including by Search Engine Land, MediaPost, and TechXplore. It is still a working paper under peer review — not a final, published finding — and this article treats it that way throughout.
This isn’t a survey or a vendor-commissioned white paper. The researchers used a staggered rollout of ChatGPT ads across nine countries, with the European Union held out as an untreated comparison group, and measured outcomes from outside the platform — using real website traffic data rather than relying on what any ad platform reports about itself. The scale is substantial:
Organic referral traffic held up, mostly. Organic (unpaid) referral volume from ChatGPT to websites fell by about 5.9% in the first 13 weeks after ads launched in a given country — but the statistical confidence interval for that estimate runs from -12.6% to +1.2%, meaning the data cannot rule out that there was no real decline at all. Adjusting for the fact that ChatGPT usage was already growing faster in North America moved the estimate to roughly -7.2% to -8.4%. Conversion rates on that organic traffic barely moved (-0.02 percentage points from a 2.21% baseline), which was not statistically significant either.
Paid ChatGPT ads underperformed paid Google Search ads by a wide margin, in US traffic specifically. This is the headline number making the rounds: revenue per session from paid ChatGPT traffic was $0.89, versus $2.45 for paid Google Search traffic — a 64% shortfall. Conversion rate told the same story: 0.37% for paid ChatGPT clicks versus 1.17% for paid Google Search clicks.
The pricing math doesn’t currently add up for advertisers, on the study’s own numbers. At the rate of return paid search typically delivers, the researchers calculate that a ChatGPT ad click would be “worth” about $0.26 to an advertiser. The largest publicly known ChatGPT advertiser account, per the paper, paid roughly $1.72 per click — more than six times that calculated parity price. The paper’s own summary states plainly that current ad performance “is not sufficient to finance free access costs” for OpenAI.
In fairness to the researchers and to give you the full picture: this is a working paper, still under review, not a peer-reviewed final publication. The organic-traffic-decline estimate has a confidence interval wide enough to include “no decline at all.” The revenue and conversion comparison rests on 102 advertisers within the 387-website paid panel — a meaningful sample, but not the entire market. The $0.26 “parity price” is a derived calculation based on paid-search benchmarks, not an observed market price. And the headline comparison is specifically US traffic; no India-specific breakdown exists in this research.
None of that makes the findings irrelevant — a 64% revenue-per-visit gap and a 6x pricing mismatch are large enough that even a less rigorous study would be worth noting. But it does mean you should treat this as early, serious evidence rather than a final verdict.
This is a genuine strategic question, not a simple “avoid ChatGPT ads” takeaway. A few evidence-based, non-promissory observations for marketing leaders:
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1. What did the new ChatGPT ads study actually measure? It measured real website traffic and advertiser revenue data — not platform-reported claims — comparing organic and paid ChatGPT referral performance against Google Search, across 10 billion sessions over 60 weeks in nine countries.
2. Who conducted the study? Researchers Maximilian Kaiser and Christian Schulze, in a working paper titled “Can Advertising Fund Free AI? Evidence from ChatGPT’s International Advertising Rollout,” posted in October 2026.
3. Is this a peer-reviewed, final study? No. It is a working paper still under review. Its findings should be treated as serious early evidence, not a final, settled conclusion.
4. What is the headline finding? In US paid traffic, ChatGPT ads generated $0.89 in revenue per session versus $2.45 for Google Search ads — a 64% shortfall — with a correspondingly lower conversion rate (0.37% versus 1.17%).
5. Does this mean ChatGPT ads don’t work at all?
No. It means that, in the aggregate US data measured so far, ChatGPT ads underperform Google Search ads on revenue per visit and conversion rate. Results could vary by category, creative, and targeting, and the researchers’ own numbers come from a specific sample and time window.
6. Is there India-specific data in this study?
No. The headline revenue and conversion comparison is for US traffic specifically. No India breakdown exists in this research.
7. Did ChatGPT ads hurt organic search/referral traffic to websites?
The study found organic referral volume may have fallen by roughly 5.9% in the first 13 weeks after ads launched, but the confidence interval is wide enough to include no real decline at all, so this finding is not statistically conclusive.
8. What does the “$0.26 parity price” mean?
It’s the researchers’ calculated price a ChatGPT ad click would need to cost, based on paid-search return benchmarks, to be as cost-effective as a typical paid Google Search click. The largest known ChatGPT advertiser reportedly paid about $1.72 per click — well above that calculated price.
9. Should I pause my ChatGPT ads campaigns because of this study?
That depends on your own measured results, not this study alone. Use it as a reason to look closely at your own campaign data and to ask platform reps for independent performance evidence, rather than a reason to make a decision without checking your own numbers.
10. Who funded or provided data for this research?
Website traffic data was provided free of charge by Grips Intelligence, which the paper states had no role in the research design, analysis, or writing. One author serves as the company’s scientific advisor, which the paper discloses.
11. How does this relate to the broader “AI search is killing clicks” debate?
It’s a related but distinct question. This study is specifically about paid ChatGPT advertising performance, not about whether AI Overviews or AI Mode reduce overall organic search clicks — a topic this project has covered separately.
12. What should marketing leaders do with this information right now?
Treat any planned ChatGPT ads budget shift as a test, not a certainty. Measure your own results against Google Search benchmarks, watch organic ChatGPT referral and citation visibility separately from paid performance, and revisit this comparison again in a few months as the ad format matures.
#ChatGPTAds #GoogleAds #DigitalMarketingIndia #AIAdvertising #PaidSearch #MarketingStrategy #AISearch #MarTech #B2BMarketing #TejomDigital
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