Problem
Summary scores need evidence.
A visibility score is useful, but teams also need the underlying prompts and responses to understand why a score moved and what to fix next.
Evidence Layer
Inspect the answers behind every visibility score.
Klairia gives teams a detailed result view so every score can be traced back to the model answers that created it.
Outcome
What Klairia gives you
- Explain score movement with concrete examples.
- Find the exact prompts where a brand is missing.
- Compare model and language behavior at response level.
- Support strategy decisions with stored scan evidence.
How it works
A repeatable workflow for detailed scan results.
1
Each scan stores results by model, language, topic and prompt level.
2
Detailed views show the generated answer and detected mention data.
3
Failed or partial results are tracked separately.
4
Teams can inspect the evidence behind trends and competitor gaps.
Questions
Common questions about detailed scan results.
Can I see individual AI responses?
Yes. Klairia includes detailed scan views so teams can inspect response-level evidence behind summary metrics.
Does Klairia show partial scan issues?
The product tracks scan status and result counts so teams can distinguish completed, partial and failed work.
Related features
Build the full AI visibility workflow.
Result Analysis
Mention detection
Klairia analyzes model responses for brand mentions, URL mentions, recommendation position, context and competitor presence.
Trend Tracking
Weekly scan history
Klairia stores recurring scan snapshots so teams can see whether AI visibility is improving, declining or flat.
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