This sounds interesting. Is there also clickstream-adjacent data available
from Enterprise? That may fall in the same category, but I don't know how
well Enterprise is segregating those uses.

It would be fascinating to understand better!

On Thu, Jun 4, 2026 at 11:32 AM Martin Gerlach via Wiki-research-l <
[email protected]> wrote:

> Hi Kai,
> thanks for the suggestion. I can see how this would improve the value of
> the clickstream dataset.
> I created a task on phabricator with your request (feel free to add
> anything that I might have missed):
> https://phabricator.wikimedia.org/T428136
> Best,
> Martin
>
> On Wed, Jun 3, 2026 at 2:10 PM Kai Zhu via Wiki-research-l <
> [email protected]> wrote:
>
> > Hi all,
> >
> > I'd like to float a small extension to the Clickstream dataset that I
> think
> > would make it considerably more useful for studying how AI assistants are
> > reshaping traffic to Wikipedia.
> >
> > Right now the referrer mapping scheme gives an external search engine its
> > own value (other-search) but folds everything else into other-external,
> or
> > into other-empty when the referrer is stripped. That means clickthroughs
> > from AI assistants — ChatGPT, Perplexity, Gemini, Copilot, Claude, and so
> > on — are effectively invisible, mixed in with the rest of the external
> web.
> >
> > My suggestion is to add one more mapped value, say other-ai, populated by
> > matching referrers against a maintained list of AI-assistant / LLM
> product
> > domains. The payoff is that the Clickstream becomes a longitudinal
> > instrument for a question the community is already wrestling with: how
> much
> > traffic AI intermediaries actually send back to Wikipedia, and how that's
> > trending over time.
> >
> > Thanks for considering it,
> > Kai Zhu
> > Bocconi University
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