Problem
One AI answer is not the market.
ChatGPT, Claude, Gemini and other assistants can produce different recommendation sets. A single manual query cannot show whether visibility is consistent across the model landscape.
Klairia compares visibility across selected LLMs so teams can see whether one model recommends them while another leaves them out.
Problem
ChatGPT, Claude, Gemini and other assistants can produce different recommendation sets. A single manual query cannot show whether visibility is consistent across the model landscape.
Outcome
How it works
Choose models within your workspace plan limits.
Klairia runs the same topic and prompt structure across those models.
Results are normalized into model-level scores and scan-level summaries.
Model differences are shown in detailed results and trend views.
Questions
Yes. Workspace and site selections control which models are used, within the plan limits configured for the account.
Different AI assistants can mention different products. Multi-model scanning helps teams avoid making decisions from a single answer.
Related features
EU Market Coverage
Klairia tracks AI visibility across supported languages so EU SaaS teams can see market-specific gaps in model recommendations.
Evidence Layer
Klairia gives teams a detailed result view so every score can be traced back to the model answers that created it.
Executive Metric
Klairia summarizes model responses into a score that shows whether your brand is becoming more or less visible in AI recommendations.
Start tracking
Register, add your website and run a first scan to see your AI visibility, competitor mentions and category gaps.
Start free scan