Daily analysis cycle
Superlines runs a daily analysis cycle for each active brand:1
Prompt selection
Active prompts for the brand are queued for testing.
2
AI engine testing
Each prompt is sent to all enabled AI engines.
3
Response collection
Full responses are captured (text, HTML, citations).
4
Brand detection
Responses are scanned for brand mentions using the brand name, variations, and competitor names.
5
Citation extraction
URLs referenced in responses are parsed and tracked.
6
Fan-out tracking
Web searches performed by AI engines are captured.
7
Metric calculation
Brand Visibility, SOV, Citation Rate, and other metrics are computed.
8
Insight generation
Trends, alerts, and recommendations are created.
This process runs daily for active prompts. New prompts are queued and tested within 24 hours of being added.
When data becomes available
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
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