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 | mcmaster.com | 5/5 | 124 | $58 |
| 2 | thomasnet.com | 4/5 | 74 | $34 |
| 3 | grainger.com | 5/5 | 50 | $23 |
| 4 | amazon.com | 4/5 | 34 | $16 |
| 5 | misumi.com | 3/5 | 25 | $11 |
| 6 | globalindustrial.com | 3/5 | 19 | $8 |
| 7 | uline.com | 4/5 | 14 | $6 |
| 8 | aliexpress.com | 4/5 | 11 | $4 |
| 9 | alibaba.com | 2/5 | 8 | $3 |
| 10 | starrett.com | 2/5 | 6 | $2 |
| 11 | made-in-china.com | 2/5 | 5 | $2 |
| 12 | thefabricator.com | 2/5 | 4 | $1 |
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 →