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OpenAI consumer product chief Adam Fry said ChatGPT’s search-like query volume is roughly one-fifth of Google’s, but OpenAI has not disclosed the Google baseline or supporting data. Independent models estimate lower shares, while website traffic panels show ChatGPT sending far fewer visits than Google.
OpenAI consumer product chief Adam Fry said November 2 that ChatGPT handles roughly one-fifth of Google’s search-like query volume, a comparison that cannot be independently checked because OpenAI has not identified the Google figure or supplied underlying data. Estimates from search analytics firms put ChatGPT’s share lower, and website traffic panels show a much larger gap in visits sent to publishers.
Fry made the statement during a conversation with journalist Alex Kantrowitz at an OpenAI-hosted dinner in New York. Big Technology published the transcript the following day. Fry described a search as each time a user asks a question and ChatGPT searches the web; The Verge reported that simple definitions and how-to explanations that do not trigger a web lookup are excluded. OpenAI has not said which Google query count it used, what period or countries the comparison covers, or how it calculated the ratio. Google did not comment in the reports cited by the source material.
Independent estimates use different methods and definitions. Ahrefs estimated ChatGPT at about 12 percent of Google’s volume in February 2026, based on prompts it judged to be the kind people might previously have searched on Google. On October 28, seoClarity put the share at about 7.5 percent, using its own modeled categories. Neither figure is a direct count of all ChatGPT web searches, and neither is directly interchangeable with OpenAI’s undisclosed measure.
Traffic panels measure a separate outcome: visits delivered to websites. Ahrefs’ panel of 118,671 websites recorded Google sending about 69 times as much traffic as ChatGPT in October 2026. StatCounter’s network showed ChatGPT accounting for between 0.08 and 0.41 percent of tracked search-engine referral clicks across the October 2025–October 2026 monthly range. These panels cover only their participating sites and do not count queries that end within ChatGPT.
ChatGPT and Google Search Checking the one-fifth estimate
OpenAI says ChatGPT handles search-like queries at roughly one-fifth of Google’s volume. The comparison cannot be independently checked because its baseline and method remain undisclosed.
What the estimates count
Independent models use different categories and assumptions; neither directly measures OpenAI’s undisclosed metric.
Search-like queries
A search is when someone asks a question and ChatGPT searches the web. The baseline, period and geographic scope were not provided.
Lower estimates
Ahrefs and seoClarity estimate smaller shares using their own definitions, not a direct count of every ChatGPT web search.
Queries are not visits
A web lookup may end with an answer in ChatGPT, without a click to an outside site.
- Counts search-like activity
- Definitions differ across services
- Some answers require no web lookup
- Counts visits sent to sites
- Panels cover participating websites
- Does not count answers kept in ChatGPT
Referral traffic gap
Website panels show Google sending substantially more visits in the measured networks.
What would make it checkable
A shared definition and disclosed inputs would let readers assess the comparison.
Specify which ChatGPT events count as a search.
Name Google’s query figure, time period and geographic scope.
Publish the calculation so independent researchers can repeat it.
Search Queries and Website Visits
The figures answer different questions. A prompt that triggers a web lookup is not necessarily equivalent to a Google search, and neither necessarily produces a click to an outside site. ChatGPT can provide a response without a user visiting any source, while traditional search often sends users to result pages and websites. That distinction helps explain why a claimed share of query volume can coexist with a much smaller share of referral traffic.
For publishers and businesses, the traffic data suggests that Google remains the much larger source of website visits in the measured panels. At the same time, ChatGPT citations may influence which sources users encounter, even when those interactions do not generate a click. The available evidence supports tracking both referrals and appearances in AI answers; it does not establish that one channel has replaced the other.
The comparison also matters because it is being used to describe the scale of a fast-growing product relative to a dominant search service. Without a shared definition and disclosed baseline, readers cannot tell whether the one-fifth estimate describes web searches, search-like prompts, or another measure.
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How the Comparisons Differ
Fry also said ChatGPT had grown from one billion to 1.2 billion weekly users over the preceding two months, according to the published conversation. The source material does not provide an independent measure of that statement. Weekly users and search-like queries are distinct metrics: a user can send multiple messages, and only some may lead to a web search.
OpenAI’s published usage data offers another point of comparison, though not a direct count of web searches. In September 2026, 20.2 percent of consumer ChatGPT messages were categorized as “seeking information.” That category does not mean every message triggered a web lookup. The source article estimates that about six in ten total messages would need to prompt a search to reach one-fifth of Google’s volume under its rough arithmetic, but the calculation depends on the Google baseline and definitions that OpenAI has not provided.
Google’s business remains large by measures it reports publicly. Alphabet said third-quarter search revenue rose 12 percent to $63.35 billion and that query growth was its fastest in five years. Revenue and query growth do not validate or disprove Fry’s comparison, but they show that Google search continued to expand during the period described.
The Missing Baseline and Method
OpenAI has not specified the Google query-volume figure used in the comparison, the time window, geographic coverage, or the data and method behind its estimate. It is also unclear whether the two services count comparable events. The statement is confirmed as something Fry said; the one-fifth ratio has not been independently verified.
The external estimates have limits too. Ahrefs and seoClarity model behavior using their own categories and assumptions, while traffic panels observe only activity on participating websites. Their results should not be treated as a single definitive count of ChatGPT searches. The source material does not establish how many ChatGPT answers include links, how often users follow them, or whether the reported traffic gap is changing.
What Better Disclosure Would Show
A clearer comparison would require OpenAI to publish its query definition, Google baseline, measurement period, geographic scope, and calculation method. Comparable figures from Google or independent researchers using the same definitions could then help establish whether the services are converging on query volume.
For now, businesses and publishers can track referral visits alongside citations and mentions in AI answers, while keeping those measures distinct. Users can inspect cited sources when an answer affects an important decision. The next useful evidence will be a disclosed, repeatable comparison or updated independent measurements that specify what they count.
Key Questions
What did OpenAI say about ChatGPT and Google?
OpenAI consumer product chief Adam Fry said ChatGPT’s search-like query volume was roughly one-fifth of Google’s. OpenAI has not disclosed the baseline or supporting calculation.
Has the one-fifth estimate been independently confirmed?
No. The statement is confirmed as Fry’s claim, but the ratio cannot be checked from the information OpenAI provided. Independent models cited in the source material estimate lower shares using different methods.
Why do website traffic figures show a larger gap?
Query counts and referral visits measure different things. A ChatGPT answer may satisfy a user without a website visit, while traffic panels count only visits to sites in their networks.
What remains unknown about the comparison?
OpenAI has not named the Google figure, period, countries, or calculation method. The available data also does not show how often users click links in ChatGPT answers.
Source: Thorsten Meyer AI
