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 | polyurethanes.org | 5/5 | 615 | $159 |
| 3 | basf.com | 4/5 | 246 | $63 |
| 4 | covestro.com | 4/5 | 169 | $43 |
| 5 | sciencedirect.com | 4/5 | 123 | $31 |
| 6 | huntsman.com | 4/5 | 92 | $23 |
| 7 | dow.com | 4/5 | 68 | $17 |
| 8 | 3m.com | 3/5 | 52 | $13 |
| 9 | springer.com | 2/5 | 40 | $10 |
| 10 | sika.com | 2/5 | 31 | $8 |
| 12 | encyclopedia.com | 3/5 | 18 | $4 |
| 13 | matweb.com | 2/5 | 15 | $4 |
| 14 | engineeringtoolbox.com | 3/5 | 12 | $3 |
| 15 | sabic.com | 2/5 | 9 | $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 →