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 | moneyguidepro.com | 5/5 | 0 | $1 |
| 2 | rightcapital.com | 5/5 | 0 | $0 |
| 3 | e-money.com | 4/5 | 0 | $0 |
| 4 | moneytree.com | 4/5 | 0 | $0 |
| 5 | naviplan.com | 3/5 | 0 | $0 |
| 6 | advyzon.com | 3/5 | 0 | $0 |
| 7 | redtailtechnology.com | 3/5 | 0 | $0 |
| 8 | advicent.com | 2/5 | 0 | $0 |
| 9 | wealthbox.com | 2/5 | 0 | $0 |
| 10 | planful.com | 2/5 | 0 | $0 |
| 11 | xplan.com | 2/5 | 0 | $0 |
| 12 | advisorengine.com | 2/5 | 0 | $0 |
| 13 | asset-map.com | 2/5 | 0 | $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 →