Daily analysis cycle
Superlines runs a daily analysis cycle for each active brand:Brand detection
Responses are scanned for brand mentions using the brand name, variations, and competitor names.
This process runs daily for active prompts. New prompts are queued and tested within 24 hours of being added.
When data becomes available
| Event | Timeline |
|---|---|
| Brand created | First results within 1–2 hours |
| Prompt added | Tested within 24 hours |
| Prompt paused/resumed | Takes effect immediately |
| Engine added/removed | Takes effect from next testing cycle |
| Data stabilization | 48 hours for reliable metrics |
Why initial numbers may fluctuate
When you first create a brand or add new prompts, you may see numbers change rapidly:- First hour — initial results come in, percentages swing with small sample sizes
- First 24 hours — more responses are collected, metrics begin to stabilize
- 48+ hours — enough data for reliable metrics and trend detection
How metrics are aggregated
| Level | What it shows |
|---|---|
| Per prompt | How you perform on a specific question |
| Per engine | How you perform on a specific AI platform |
| Per brand | Overall brand performance across all prompts and engines |
| Per label | Performance for a group of prompts sharing a label |
| Cross-brand | Comparison across all your brands |
Trend detection
Superlines automatically detects and surfaces:- Week-over-week changes in core metrics
- Prompt-level alerts when visibility drops significantly
- Competitor movements — new competitors gaining traction
- Content opportunities — topics with high volume but low visibility
Data retention
- All response data is retained for the lifetime of your subscription
- Historical trends are available from the moment you start tracking
- Paused prompts retain their historical data
- Deleted prompts retain aggregated metrics but remove raw response data