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 | enel.com | 4/5 | 615 | $36 |
| 2 | nationalgrid.com | 4/5 | 369 | $22 |
| 3 | eon.com | 3/5 | 246 | $14 |
| 4 | engie.com | 3/5 | 169 | $10 |
| 5 | rwe.com | 3/5 | 123 | $7 |
| 6 | shell.com | 2/5 | 92 | $5 |
| 7 | bp.com | 2/5 | 68 | $4 |
| 8 | edf.fr | 2/5 | 52 | $3 |
| 9 | edfenergy.com | 2/5 | 40 | $2 |
| 10 | duke-energy.com | 3/5 | 31 | $1 |
| 11 | schneider-electric.com | 2/5 | 25 | $1 |
| 12 | abb.com | 3/5 | 18 | $1 |
| 13 | directenergy.com | 2/5 | 15 | $0 |
| 14 | siemens.com | 2/5 | 12 | $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 →