Result Analysis

Understand how AI answers mention your brand.

Klairia analyzes model responses for brand mentions, URL mentions, recommendation position, context and competitor presence.

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.

Outcome

What Klairia gives you

  • Avoid relying on brittle manual reading of every answer.
  • Separate top recommendations from buried or passive mentions.
  • See competitor mentions in the same response.
  • Trace score changes back to specific prompts and answers.

How it works

A repeatable workflow for mention detection.

1

Each model response is stored with prompt, language and model context.

2

The response is evaluated for tracked brand and competitor mentions.

3

Position and recommendation context feed score calculations.

4

Detailed results preserve the evidence behind the summary metrics.

Questions

Common questions about mention detection.

Does Klairia only look for exact URL matches?

No. Klairia is designed to evaluate brand names, URLs, context, recommendation position and competitor mentions.

Why does position matter?

Being the first recommendation is a stronger signal than being mentioned near the end of a long list.

Related features

Build the full AI visibility workflow.

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