Resources · Blog · AI searchDo ChatGPT and Google AI Overviews cite the same sites?
No, and they agree on which brands to name far more often than they agree on which pages to cite. DerivateX analyzed 402 citations across 15 buyer queries and found ChatGPT and Google AI Overviews naming similar brands about a third of the time while citing almost entirely different sources, with source overlap as low as 4 percent on open ended questions. Google AI Overviews lean on a page's existing organic ranking and ChatGPT leans more on community discussion and editorial sources, so visibility has to be earned on each platform separately.
Key takeaways
- DerivateX logged 402 citations across 15 buyer queries and found brand agreement without source agreement.
- Both engines can name the same companies and reach them through source sets with almost nothing in common.
- 54 percent of Google AI Overview citations already rank in that query's top 20, and that tie is Google's alone.
- One page can serve both engines, and the work to get it quoted splits after it is published.
What did the DerivateX Agreement Gap study measure?
It measured how often ChatGPT and Google AI Overviews name the same brands and cite the same sources for the same buyer question. DerivateX ran 15 buyer intent queries through both engines and logged 402 citations.
The queries covered five segments of cloud media and content infrastructure, and each one went to both engines five to ten times rather than once. The results went out in a press release on natlawreview.com on June 30, 2026.
Two numbers came back and they disagree with each other.
Ask an open ended discovery question and the engines name roughly the same companies while the pages behind those answers barely touch. Narrow it to a direct comparison of three named tools and source overlap climbs to about 30 percent, because a specific question has fewer pages that can answer it. Caveat. Fifteen queries in one software niche, one study, and we have not seen it replicated.
| What DerivateX compared | Overlap between ChatGPT and AI Overviews |
|---|---|
| Brand names, all 15 queries | 32 percent on average |
| Brand names, open ended discovery queries | about 38 percent |
| Sources, open ended discovery queries | about 4 percent |
| Sources, direct comparisons naming three tools | about 30 percent |
Why do the two engines name the same brands but cite different sources?
Because the brands are the answer and the sources are only the route each engine took to reach it. Two systems reading different parts of the web can arrive at the same shortlist without sharing a page.
Google AI Overviews sit on top of Google's index, so an Overview citation tends to be a page that already ranks for the query. ChatGPT pulls harder on community discussion and editorial coverage. In a software category that means threads on reddit.com, listing and review pages on g2.com and capterra.com, a wikipedia.org entry, and whoever wrote the roundup.
The 4 percent is the number we keep going back to. Both engines can tell a buyer the same thing about a category and get there through source sets with almost nothing in common. A brand tracker that only logs mentions shows the two as interchangeable.
Does ranking well in Google search help you get cited in AI Overviews?
Yes, more than it helps anywhere else. Discovered Labs found that 54 percent of Google AI Overview citations overlap with that query's top 20 organic results.
Half of what an AI Overview quotes already sits on the first two pages of Google for the same query, so organic work on a page that answers the buyer question keeps paying inside the Overview.
That number belongs to Google AI Overviews and nowhere else. Discovered Labs ties it to Overviews specifically, and it does not carry across to ChatGPT, so a page ranking third for your comparison query says little about whether ChatGPT will quote it. A page that climbs into the top ten and turns up in AI Overviews a few weeks later reads like the AI search problem being solved. It is solved on one engine.
Does one content plan cover both ChatGPT and AI Overviews?
No, though the two plans share a spine. The pages and the buyer questions are the same, and where you go to get them quoted is not.
Go back to the brand overlap for a second. A third of the time both engines name the same companies, which is the number that makes a single checklist look reasonable, and it is the first one to run out. Agreement on who belongs in a category says nothing about which pages either engine reads.
The split happens after the page is written. For AI Overviews you are doing organic work on that page, because that is where 54 percent of Overview citations already sit. For ChatGPT you are chasing discussion and editorial coverage on sites you do not own, which moves on someone else's schedule. Ads buy an impression in a day. This runs one to three months on either engine, and one of the two you cannot rush at all.
Where the facts in this piece come from
FAQs about Do ChatGPT and Google AI Overviews cite the same sites
1. Is ChatGPT or Google AI Overviews the better one to work on?
Neither replaces the other, so the question is which buyers you want and where they ask. Google AI Overviews reward organic work you may already be doing, since Discovered Labs found 54 percent of Overview citations come from the query's top 20 organic results. ChatGPT rewards being discussed and written about on sites you do not own, slower and harder to steer.
2. How much do the two engines actually overlap?
In DerivateX's Agreement Gap study of 402 citations across 15 buyer queries, the engines named the same brands 32 percent of the time on average, while their sources overlapped about 4 percent on open ended questions and about 30 percent on direct comparisons naming three tools. That study covers five segments of cloud media and content infrastructure, so treat it as one software niche rather than a universal ratio.
3. Does the DerivateX study apply outside software?
Nobody has shown that it does. The 402 citations came from 15 buyer queries in five cloud media and content infrastructure segments, so the percentages belong to that niche. The mechanism behind them, one engine reading Google's index and the other reading community and editorial pages, is not specific to software. We run the check per category rather than assume the numbers transfer.
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Corvan is go-to-market services and software that get businesses more clients: go-to-market consultation, ad operations, AI search ranking, and Corvan Agents, which write in your voice. Every piece under Resources is written by the team that runs the work, with sources. Meet the team on the team page, or read what it returned for Drive Me Barcelona.