Klairia scans from generic category prompts to specific buying-language prompts so you can see whether AI assistants know you early or only after heavy qualification.
Problem
Appearing in a very specific prompt is useful, but appearing in a broad category recommendation is a much stronger signal. Progressive prompting separates category leadership from long-tail recognition.
Outcome
How it works
Each active topic gets five prompts ordered from broad to specific.
Prompts are generated around real user needs, not keyword-stuffed search terms.
Klairia records the first level where the tracked brand appears.
Scores weight earlier appearances more strongly than late, narrow mentions.
Questions
Klairia uses five levels per topic, moving from broad category prompts to specific buyer-context prompts.
Earlier mentions mean the model associates your brand with the category more strongly. Late mentions usually mean the model needs more clues before considering you relevant.
Related features
Specificity Signal
First mention level shows whether your brand appears in broad category recommendations or only after the prompt becomes highly specific.
Buyer Intent
Klairia analyzes your site to identify the user needs and categories where your brand should appear in AI assistant answers.
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