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 | accountingcoach.com | 4/5 | 83 | $417 |
| 2 | aicpa.org | 4/5 | 50 | $250 |
| 3 | ed.gov | 4/5 | 33 | $167 |
| 4 | accountingtools.com | 2/5 | 23 | $114 |
| 5 | nces.ed.gov | 2/5 | 17 | $83 |
| 6 | schoolbusinessservices.org | 2/5 | 12 | $62 |
| 7 | irs.gov | 3/5 | 9 | $45 |
| 8 | edweek.org | 2/5 | 7 | $35 |
| 9 | schools.nyc.gov | 2/5 | 5 | $27 |
| 10 | quickbooks.intuit.com | 2/5 | 4 | $20 |
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 →