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 | omega.com | 5/5 | 275 | $85 |
| 2 | wika.com | 5/5 | 165 | $51 |
| 3 | ashcroft.com | 5/5 | 110 | $34 |
| 4 | grainger.com | 5/5 | 76 | $23 |
| 5 | mcmaster.com | 5/5 | 55 | $17 |
| 6 | dwyer-inst.com | 5/5 | 41 | $12 |
| 7 | fluke.com | 5/5 | 30 | $9 |
| 8 | winters.com | 3/5 | 23 | $7 |
| 9 | amazon.com | 4/5 | 18 | $5 |
| 10 | tameson.com | 2/5 | 14 | $4 |
| 11 | grainger.ca | 2/5 | 11 | $3 |
| 12 | yokogawa.com | 2/5 | 8 | $2 |
| 13 | testo.com | 2/5 | 7 | $2 |
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 →