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 | solarlighting.com | 3/5 | 124 | $6 |
| 2 | philips.com | 3/5 | 74 | $3 |
| 3 | solarstreetlights.com | 2/5 | 50 | $2 |
| 4 | intelizon.com | 2/5 | 34 | $1 |
| 5 | sunna-design.com | 2/5 | 25 | $1 |
| 6 | ledlightexpert.com | 2/5 | 19 | $0 |
| 7 | greenshine.com | 2/5 | 14 | $0 |
| 8 | civicsolar.com | 2/5 | 11 | $0 |
| 9 | streetlightsolar.com | 2/5 | 8 | $0 |
| 10 | jinsdonlighting.com | 2/5 | 6 | $0 |
| 11 | soltechlighting.com | 2/5 | 5 | $0 |
| 12 | amazon.com | 2/5 | 4 | $0 |
| 13 | alibaba.com | 2/5 | 3 | $0 |
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 →