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 |
|---|---|---|---|---|
| 5 | cambridge.org | 4/5 | 412 | $172 |
| 6 | oxfordlearnersdictionaries.com | 4/5 | 309 | $129 |
| 7 | thefreedictionary.com | 3/5 | 226 | $95 |
| 8 | butcherbox.com | 2/5 | 175 | $73 |
| 9 | collinsdictionary.com | 2/5 | 134 | $56 |
| 11 | allrecipes.com | 4/5 | 82 | $34 |
| 12 | seriouseats.com | 4/5 | 62 | $25 |
| 13 | foodnetwork.com | 4/5 | 51 | $21 |
| 14 | bbcgoodfood.com | 3/5 | 41 | $17 |
| 15 | simplyrecipes.com | 2/5 | 31 | $12 |
| 16 | tasteofhome.com | 2/5 | 26 | $10 |
| 17 | masterclass.com | 2/5 | 21 | $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 →