ChatGPT vs YouTube
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
| Metric | ChatGPT | YouTube | Readout |
|---|---|---|---|
| Estimated revenue / mo | ~$267M | ~$195M | ChatGPT |
| Revenue band | $267M (point est.) | $195M (point est.) | Use range + confidence |
| Estimated downloads / mo | ~19.0M | ~7.0M | ChatGPT |
| Download band | 19.0M (point est.) | 7.0M (point est.) | Use range + confidence |
| Rating | 4.83 | 4.67 | ChatGPT |
| Rating count | 8.9M | 48.3M | YouTube |
| Tracked keywords | 21 | 6 | ChatGPT |
| Category | Productivity | Photo & Video | Different markets |
Which app is bigger?
ChatGPT and YouTube are compared inside Productivity and Photo & Video with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. ChatGPT has about 19.0M monthly downloads and YouTube has about 7.0M, while revenue readouts are $267M and $195M. ChatGPT wins the revenue readout, ChatGPT wins demand, YouTube has deeper review volume, and ChatGPT has the larger tracked keyword footprint. The better app depends on the job: choose the revenue leader when you need monetization proof, choose the download leader when reach matters, and choose the higher-rated or deeper-reviewed app when market trust is the constraint. Read both ranges rather than only the midpoint, then open the category hub and related collections to see whether this pair is an outlier or a normal category pattern.