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 |
|---|---|---|---|---|
| 2 | petrossian.com | 4/5 | 1.2K | $320 |
| 3 | markys.com | 4/5 | 823 | $213 |
| 4 | caviar.com | 2/5 | 566 | $147 |
| 5 | seriouseats.com | 2/5 | 412 | $106 |
| 6 | imperialcaviar.com | 3/5 | 309 | $80 |
| 7 | caviarstar.com | 3/5 | 226 | $58 |
| 8 | bonappetit.com | 2/5 | 175 | $45 |
| 9 | sasanian.com | 2/5 | 134 | $34 |
| 12 | amazon.com | 2/5 | 62 | $16 |
| 13 | regalisfoods.com | 2/5 | 51 | $13 |
| 14 | harrods.com | 2/5 | 41 | $10 |
| 15 | fortnumandmason.com | 2/5 | 31 | $8 |
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 →