ChatLLM: KI-Assistent & Agent vs Claude by Anthropic
Revenue, downloads, ratings and category context for two iOS apps. Figures are estimates and should be read as ranges, not exact totals.
ChatLLM: KI-Assistent & AgentAbacus.AI - Productivity
Claude by AnthropicAnthropic PBC - Productivity| Metric | ChatLLM: KI-Assistent & Agent | Claude by Anthropic | Readout |
|---|---|---|---|
| Estimated revenue / mo | $*** - opens with trial | ~$59M | Claude by Anthropic |
| Revenue band | $*** - opens with trial | $59M (point est.) | Use range + confidence |
| Estimated downloads / mo | $*** - opens with trial | ~10.0M | Claude by Anthropic |
| Download band | $*** - opens with trial | 10.0M (point est.) | Use range + confidence |
| Rating | - | 4.72 | Claude by Anthropic |
| Rating count | - | 211k | Claude by Anthropic |
| Tracked keywords | 2 | 6 | Claude by Anthropic |
| Category | Productivity | Productivity | Same market |
Which app is bigger?
ChatLLM: KI-Assistent & Agent and Claude by Anthropic are compared inside Productivity with monthly revenue, downloads, rating, review volume, keyword footprint, category placement and range context. Claude by Anthropic leads on monthly downloads in the current readout, and Claude by Anthropic wins the revenue readout (the exact figures open with the paid plan), Claude by Anthropic wins demand, Claude by Anthropic has deeper review volume, and Claude by Anthropic 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.