Problem
A single AI answer cannot show momentum.
AI recommendations change as models, web signals and category narratives shift. Weekly scan history gives teams a stable cadence for monitoring movement.
Trend Tracking
Track AI visibility as a trend, not a one-off check.
Klairia stores recurring scan snapshots so teams can see whether AI visibility is improving, declining or flat.
Outcome
What Klairia gives you
- See whether AI visibility work is paying off.
- Catch drops in mention rate or competitor movement.
- Compare score changes across campaign windows.
- Keep historical evidence for reporting and analysis.
How it works
A repeatable workflow for weekly scan history.
1
Sites are scanned on a recurring weekly cadence.
2
Each scan stores selected models, languages, topics and results.
3
Snapshots roll up into trend charts and detailed scan lists.
4
Plan limits control how much score history is retained.
Questions
Common questions about weekly scan history.
How often does Klairia scan?
Current plans are designed around weekly scans so trend reporting remains comparable.
Why not rely on manual checks?
Manual checks are inconsistent and hard to compare. Recurring scans preserve the same structure so movement is easier to interpret.
Related features
Build the full AI visibility workflow.
Executive Metric
Visibility score tracking
Klairia summarizes model responses into a score that shows whether your brand is becoming more or less visible in AI recommendations.
Evidence Layer
Detailed scan results
Klairia gives teams a detailed result view so every score can be traced back to the model answers that created it.
Model Coverage
Multi-model LLM scanning
Klairia compares visibility across selected LLMs so teams can see whether one model recommends them while another leaves them out.
Start tracking
See how AI assistants describe your brand.
Register, add your website and run a first scan to see your AI visibility, competitor mentions and category gaps.
Start free scan