Problem
A raw AI answer is hard to measure.
Brand mentions can be obvious, indirect, buried in a list or framed as a weak alternative. Mention detection turns unstructured responses into structured visibility evidence.
Klairia analyzes model responses for brand mentions, URL mentions, recommendation position, context and competitor presence.
Problem
Brand mentions can be obvious, indirect, buried in a list or framed as a weak alternative. Mention detection turns unstructured responses into structured visibility evidence.
Outcome
How it works
Each model response is stored with prompt, language and model context.
The response is evaluated for tracked brand and competitor mentions.
Position and recommendation context feed score calculations.
Detailed results preserve the evidence behind the summary metrics.
Questions
No. Klairia is designed to evaluate brand names, URLs, context, recommendation position and competitor mentions.
Being the first recommendation is a stronger signal than being mentioned near the end of a long list.
Related features
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.
Competitive Intelligence
Klairia surfaces competing brands that appear in your category prompts so you can understand the recommendation set buyers see.
Start tracking
Register, add your website and run a first scan to see your AI visibility, competitor mentions and category gaps.
Start free scan