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 | home-assistant.io | 5/5 | 1.4K | $178 |
| 2 | github.com | 5/5 | 825 | $107 |
| 3 | community.home-assistant.io | 5/5 | 550 | $71 |
| 4 | reddit.com | 5/5 | 378 | $49 |
| 5 | youtube.com | 5/5 | 275 | $35 |
| 6 | amazon.com | 5/5 | 206 | $26 |
| 7 | google.com | 4/5 | 151 | $19 |
| 8 | nabucasa.com | 3/5 | 117 | $15 |
| 9 | bestbuy.com | 2/5 | 89 | $11 |
| 10 | stackoverflow.com | 2/5 | 69 | $8 |
| 11 | hass.io | 2/5 | 55 | $7 |
| 12 | apple.com | 2/5 | 41 | $5 |
| 13 | openhab.org | 2/5 | 34 | $4 |
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 →