A commercial recommendation prompt. We size how many people ask ChatGPT this from real search demand, then run it through ChatGPT to see which websites it recommends.
One of the 5 times we asked ChatGPT this, verbatim. The leaderboard below aggregates all 5 runs.
Aggregated across 5 runs (min 2/5 appearances). Estimated visits split the prompt's demand by rank. Sites matching the prompt's own brand are marked branded and excluded from the leaderboard.
| Rank | Website | Appears | Est. visits / mo | Est. value / mo |
|---|---|---|---|---|
| 1 | nursingworld.org | 2/5 | 25 | $192 |
| 2 | aacnnursing.org | 2/5 | 15 | $115 |
| 3 | registerednursing.org | 2/5 | 10 | $76 |
| 4 | edu.au | 2/5 | 7 | $52 |
| 5 | capella.edu | 2/5 | 5 | $38 |
| 6 | wgu.edu | 2/5 | 4 | $28 |
| 7 | waldenu.edu | 2/5 | 3 | $21 |
| 8 | southuniversity.edu | 2/5 | 2 | $16 |
| 9 | chamberlain.edu | 2/5 | 2 | $12 |
| 10 | gcu.edu | 2/5 | 1 | $9 |
| 11 | snhu.edu | 2/5 | 1 | $7 |
ChatGPT doesn't publish prompts, so we don't show logged conversations. We measure real demand for this topic from Google search volume, scale it to ChatGPT's user base (on average about 1 ChatGPT user for every 8 Google searchers, a ratio that varies by topic), and run the prompt through ChatGPT 5 times to record which websites it recommends and in what order. Estimated visits split that demand across the recommended sites by a click-through-by-rank curve. Every number is a modeled estimate, not measured analytics. Full methodology →