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ChatGPT

ChatGPT citations UX: inline chips, popovers & sources

A layered inspection path can support quick reading and deeper verification without treating source count as proof of accuracy.

Evidence beside the answer

What works

Publisher chips keep references near the statements they support.

What to test

Ask a participant to find the source for one sentence. Can they distinguish the claim's reference from a nearby one?

A closer look before opening a source

What works

An anchored preview reveals article context without replacing the answer.

What to test

Use keyboard navigation and touch as well as a pointer. Check how the preview closes and where focus returns.

More than one supporting reference

What works

A position indicator and arrows expose additional sources behind a chip.

What to test

Give participants a claim with several references. Check whether they notice the additional sources and can return to the first.

A wider view of the evidence

What works

A separate panel collects references while the conversation remains visible.

What to test

Compare reading on a narrow screen with a wide one. Check whether opening the collection preserves the reader's place.

Takeaways

  • Keep references connected to the answer during inspection.
  • Trace a single important claim through its preview to the original passage.
  • Include incorrect, missing and contradictory evidence in your test set.
  • Measure whether people can explain why a source supports a claim, rather than counting opened links.

Evidence and scope

This independent Knoveya analysis proposes checks for interface design. It is not a hands-on test or a measurement of user outcomes.

Limits

Interfaces change. Verify the current product and test these recommendations before applying them.