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OpenAI consumer product chief Adam Fry said ChatGPT’s search-like query volume is about one-fifth of Google’s, but OpenAI has not disclosed the Google baseline or supporting data. Independent models estimate smaller shares, while traffic panels show ChatGPT sends far fewer visits to websites than Google does.
OpenAI consumer product chief Adam Fry said on November 2 that ChatGPT handles “roughly one-fifth” as many search-like queries as Google, a claim that could signal a substantial role for the chatbot in finding information. OpenAI has not disclosed which Google query total it used or released the underlying data, and available independent estimates measure different activities and produce lower comparisons.
Fry made the statement during a fireside chat with journalist Alex Kantrowitz at an OpenAI-hosted dinner in New York. Kantrowitz’s Big Technology newsletter published the conversation on November 3. The Verge, which attended, described the gathering as a press event. The claim is confirmed as something Fry said; the comparison itself cannot be independently checked from the information OpenAI provided.
Fry described a search as a ChatGPT question that leads to a web lookup: “Every time you ask a question and go search the web, that’s a search.” The Verge reported that requests such as defining a word or getting a simple how-to explanation do not count under this definition. Fry also said ChatGPT had grown “from one billion to 1.2 in just the last two months” in weekly users, but the supplied account does not specify the unit after 1.2.
OpenAI did not identify the Google figure used, the time period, the countries covered or the data behind the ratio. Google had not commented on the claim in the reports cited in the source material. Those gaps matter because a comparison can change depending on what counts as a query and which Google measure is used.
How to assess ChatGPT’s search claim One in five of Google’s volume?
OpenAI says ChatGPT handles roughly one-fifth as many search-like queries as Google. The comparison cannot be independently checked with the details disclosed so far.
What is being compared?
Fry counts a ChatGPT question as a search when it leads to a web lookup. That is different from counting website visits.
- ChatGPT questions that trigger web lookup
- OpenAI’s claim compares query volume with Google
- Traffic panels record visits to observed sites
- Google sent far more visits in the cited panels
Independent estimates vary
The figures offer context, but they use different definitions and methods.
| Source | Measure | Finding |
|---|---|---|
| Ahrefs | Modeled search-like prompts | About 12% of Google volume |
| seoClarity | Modeled information-seeking activity | About 7.5% |
| Ahrefs panel | Visits across 118,671 websites | Google sent about 69× the traffic |
What analysts still need
Without comparable inputs, outside researchers cannot reproduce the ratio.
Explain which ChatGPT questions and Google queries qualify.
Disclose the period, countries and Google baseline used.
Provide figures that allow a like-for-like comparison.
Search Reach Depends on the Measure
The claim matters to publishers and businesses because it frames ChatGPT as a large source of search activity. But query volume and website visits are different measures. A chatbot may answer a question without sending a person to a publisher’s site, while a traditional search result may lead directly to one. A high count of search-like queries therefore does not, on its own, show that ChatGPT sends a similar share of readers or customers to websites.
For publishers and businesses, the figures support tracking both referrals from search engines and visibility in AI answers. The traffic data presented in the source suggests that, for the sites measured, Google remains far ahead in visits. For users, cited answers can still be useful, but the citation itself does not establish that a source supports every part of an answer; opening a source can help check important claims.
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Five Measures, Different Results
The source compares OpenAI’s statement with two modeled estimates and two traffic panels. Ahrefs estimated ChatGPT at about 12 percent of Google’s volume in February 2026, using prompts of a kind people previously searched on Google. On October 28, seoClarity estimated about 7.5 percent, based on information-seeking and part of practical-guidance activity. These are models, not direct counts of all searches on either service.
OpenAI’s published usage data offers another, imperfect point of comparison: “seeking information” made up 20.2 percent of consumer ChatGPT messages in September 2026. The source’s rough arithmetic says that reaching one-fifth of Google’s query volume would require about six in ten ChatGPT messages to trigger a web search. That calculation depends on the assumptions used and does not establish how many messages actually lead to a web lookup.
Traffic panels count visits rather than questions. Ahrefs’ panel of 118,671 websites recorded about 69 times as much traffic from Google as from ChatGPT in October 2026. StatCounter’s network showed ChatGPT at 0.08 to 0.41 percent of Google’s level for monthly clicks to sites over October 2025 to October 2026. Both panels cover only the sites and activity they observe. Separately, Alphabet said third-quarter Google query growth was its fastest in five years and Search revenue rose 12 percent to $63.35 billion.
The Missing Comparison Details
The main unknown is what OpenAI counted on both sides. Fry did not name Google’s query-volume figure, its period or its geographic scope, and the source reports no underlying dataset. Without those details, outside analysts cannot reproduce the one-fifth comparison or determine how consistently the two services’ queries were counted.
The other estimates do not settle the question because they use different methods and definitions. Modeled prompts are not a census of searches; traffic panels measure visits to a limited set of websites. OpenAI’s usage category for seeking information is also not the same as a count of web searches. These figures offer context, but they cannot independently confirm or disprove Fry’s ratio.
It also remains unclear how often ChatGPT’s web lookups lead users to visit cited pages, and how the reported ratio changes over time. The available reports say Google had not commented on the claim. No response or additional methodology is included in the source material.
Further Data Could Test the Claim
A clearer assessment would require OpenAI to publish its counting method, the time period and countries covered, and the Google baseline used. Comparable figures for the same period would help analysts distinguish web searches from other questions and compare query counts with website referrals. Until those details are available, the one-fifth figure should be treated as OpenAI’s estimate, not an independently verified measurement.
Businesses and publishers can follow referral trends in their own analytics alongside changes in visibility within AI answers. Future updates to OpenAI’s methodology or independent traffic and usage data may show whether the gap between query activity and visits is changing. The supplied reporting does not identify a date for further figures.
Key Questions
What did OpenAI say about ChatGPT and Google searches?
Adam Fry said ChatGPT’s volume of search-like queries was roughly one-fifth of Google’s query volume. OpenAI has not disclosed the Google total or supporting data in the reporting provided.
Does the claim mean ChatGPT sends one-fifth as much traffic to websites as Google?
No. The claim compares search-like queries, while traffic panels count visits to websites. Ahrefs’ October 2026 panel found that Google sent about 69 times as much traffic as ChatGPT to the 118,671 sites it tracked.
Can independent data confirm OpenAI’s one-fifth figure?
Not from the figures cited here. Ahrefs and seoClarity produced lower modeled estimates using different definitions, while traffic panels measure site visits rather than all queries. None directly verifies OpenAI’s comparison.
What information is missing?
OpenAI did not specify the Google baseline, period, countries or underlying dataset. Those details are needed for outside analysts to reproduce the comparison.
Source: Thorsten Meyer AI
