We only estimate visits from buyer-intent prompts, where someone asks ChatGPT to recommend a product or service (like “what’s the best keyword tool?”), and only across the commercial categories we track. We exclude branded searches (people already asking for Forestry.cfans.umn.edu by name) and informational or navigational prompts. So this is Forestry.cfans.umn.edu’s share of non-branded ChatGPT recommendations in the categories we track, not its total ChatGPT traffic.
Prompts where Forestry.cfans.umn.edu's estimated ChatGPT visits moved the most this month, including ones it dropped out of or newly entered. The rank move is shown next to each.
No notable losses this month.
Each topic written the way a person would ask it. Estimated visits = this site's share of that prompt's demand.
One of the 5 runs for What's the best school for forestry?, verbatim.
How often ChatGPT places this site at each position across its prompt topics.
Sites that come up for the same prompts as Forestry.cfans.umn.edu, ranked by how many topics they share.
ChatGPT doesn't publish prompt data. We measure real demand for each commercial topic from Google search volume, scale it to ChatGPT's user base (about 1 ChatGPT user for every 8 Google searchers), and run each topic through ChatGPT 5 times to record which sites it recommends and in what order. A click-through-by-rank curve splits each topic's demand across the recommended sites. Every figure is a modeled estimate, not measured analytics. Full methodology →