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 | uscis.gov | 4/5 | 151 | $225 |
| 2 | visa.com | 5/5 | 91 | $135 |
| 3 | mastercard.com | 5/5 | 61 | $90 |
| 4 | americanexpress.com | 5/5 | 42 | $61 |
| 5 | goldcard.com | 4/5 | 30 | $45 |
| 6 | whitehouse.gov | 2/5 | 23 | $33 |
| 7 | travel.state.gov | 2/5 | 17 | $24 |
| 8 | state.gov | 2/5 | 13 | $19 |
| 9 | irs.gov | 2/5 | 10 | $14 |
| 10 | amazon.com | 3/5 | 8 | $11 |
| 11 | goldcard.org | 2/5 | 6 | $9 |
| 13 | goldcard.edu | 2/5 | 4 | $5 |
| 14 | goldcard.co.uk | 3/5 | 3 | $4 |
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 →