The short version
- In an audit of 615 sources ChatGPT cited for health questions, 64.7% showed no author attribution (Jacques and colleagues, City University of New York, January 2026).
- Another 28.3% gave a name only, and just 7.0% gave a name with credentials such as MD or PhD.
- ChatGPT’s most cited sources were Wikipedia (10.7%), Mayo Clinic (9.9%) and Cleveland Clinic (9.8%), which carry institutional rather than personal authority.
- In our own study of 3,096 pages ranking for AI Overview searches, an author signal’s apparent edge of 4.8 points disappeared once pages on the same search were compared.
Which cited sources skip bylines, and why does it work for them?
Large institutions, whose name does the work a byline would do for a smaller publisher.
Citations were heavily concentrated. Ten organizations accounted for 52.8% of all health citations, led by Wikipedia at 10.7%, Mayo Clinic at 9.9% and Cleveland Clinic at 9.8%. Wikipedia is written by many contributors rather than one named author. Hospitals and government agencies carry the authority of their own names. The same pattern of a few sites winning most citations shows up in AI Mode and Perplexity.
Overall, 75.7% of citations came from sources with inherent institutional authority. The authors conclude that these sources rely on their standing rather than on explicit signals. Authorship, editorial process and technical optimization acted as secondary signals behind “who published it”.
Our own research points the same way outside health. In our Wikipedia and schema study, the strongest predictor of a brand recommendation was independent coverage. That means how many independent sites named the brand in the pages an assistant cited. Each tenfold increase went with 4.7 times the odds of a recommendation. Reputation built across the web, not a line on the page, carried the weight.
If not bylines, what did cited pages show instead?
Fewer quality markers than most guidelines assume, and technical polish more often than editorial ones.
| Signal on ChatGPT-cited health pages | Share |
|---|---|
| Schema markup | 74.3% |
| Lists references | 39.2% |
| States a medical review | 29.6% |
Schema markup, the machine-readable labels that describe a page to software, was the most common signal. Editorial signals such as references and a stated medical review were present on a minority of pages.
Commercial health publishers were the exception. Lacking an institutional name, they stated a medical review on 71.1% of their cited pages. That suggests a reviewer statement may matter more to a publisher without a famous brand, though the study does not test it.
The audit also ran a sample of cited pages through an AI-text detector. Of 305 pages it could classify, 22.6% were judged AI-derived. A named human author was plainly not a condition of being cited.
Do bylines help in Google’s AI Overviews?
Not measurably, once pages competing on the same search are compared.
Our study of 3,096 pages ranking in Google’s top 10 compared the pages AI Overviews cited with those beside them that were not cited. A first, simpler comparison suggested pages with an author signal were cited 4.8 points more often. Comparing pages only with others on the same search, with all features entered together, turned that into −2.1 points, which is indistinguishable from no effect.
Ranking position, by contrast, mattered a great deal. Pages in positions 1 to 3 were cited about twice as often as those at 7 to 10. This is Google’s AI, not ChatGPT, but it is the only published comparison of cited and uncited pages on authorship we know of. We cover the other on-page signals linked to AI citations separately.
What should you do about it?
Keep honest bylines where you have real experts, but do not treat them as the lever for AI visibility.
- Do not hold back publishing because a page lacks a credentialed author; cited pages mostly had none.
- Where a qualified person wrote or reviewed a page, name them with credentials and a review date. It helps readers and costs little.
- Put the evidence in the text: references, figures, test results and clear sourcing for claims.
- Build the publisher’s standing through independent coverage and search ranking, which the research ties more closely to citation.
- If you are a smaller publisher in an expert field, show your vetting process openly, as cited commercial health sites do.
If you want help deciding where those efforts pay off for your category, see our generative engine optimization service.
What does the research not tell us yet?
No study has added bylines to real pages and measured the effect on ChatGPT citations.
- The ChatGPT audit describes cited pages only; it has no group of uncited pages to compare with.
- It covers health questions on one ChatGPT model, collected on January 11, 2026, with a prompt that asked for sources.
- Attribution was coded largely by an automated pipeline, with some fields checked by hand.
- Our AI Overview comparison covers Google’s AI, one day and US searches, and detects only author markup and on-page signals.
- Whether named experts help more in finance, law or business software is untested.
Frequently asked questions
Does ChatGPT check author credentials before citing a page?
There is no evidence that it requires them. In an audit of 615 ChatGPT-cited health sources, only 7.0% showed an author name with credentials, and 64.7% named no author.
Is E-E-A-T important for AI search?
The studies here did not test Google’s E-E-A-T guidelines directly. They do show that institutional reputation, independent coverage and evidence on the page went with citation far more clearly than bylines did.
Should I add author bios to my blog for AI visibility?
Add them if they are real and useful to readers, not as an AI tactic. Our study of AI Overview citations found no measurable edge for author signals once pages on the same search were compared.
What matters more than a byline for AI citations?
Who publishes the page and how well it ranks. In the ChatGPT health audit, 75.7% of citations went to institutional sources, and in our Google study, ranking position outweighed every on-page feature.
Sources
- Jacques, Datuowei, Jones, Basch, Vanderpool, Udeozo and Chapa (2026), Authority Signals in AI Cited Health Sources: A Framework for Evaluating Source Credibility in ChatGPT Responses (opens in a new tab), arXiv:2601.17109.
- Vishwakarma, Kumar and Jamidar (2026), What Gets Cited: Competitive GEO in AI Answer Engines (opens in a new tab), arXiv:2605.25517.
- Underneath (2026), What pages cited by AI Overviews have in common: 3,096 pages
- Underneath (2026), Do Wikipedia and schema make AI assistants recommend a brand?