Trust

Measure AI visibility without handing over customer data.

Klairia focuses on public website signals, generated prompts and public LLM responses so teams can monitor visibility without creating unnecessary data risk.

Problem

Marketing intelligence should not require sensitive data.

AI visibility tracking should answer how public assistants see your brand. It should not require customer records, private documents or personal data to produce useful trend signals.

Outcome

What Klairia gives you

  • Keep AI visibility monitoring focused on public market signals.
  • Reduce internal approval friction for SaaS teams.
  • Support EU teams that care about data minimization.
  • Give stakeholders visibility evidence without uploading private data.

How it works

A repeatable workflow for privacy-conscious tracking.

1

Klairia analyzes public site content and stores tracking configuration.

2

Scans generate prompts and public model responses about the brand.

3

Raw response data is used for visibility scoring and evidence.

4

The product avoids requiring customer data for monitoring workflows.

Questions

Common questions about privacy-conscious tracking.

Does Klairia need customer data to track visibility?

No. Klairia is designed around public website content, prompts and public LLM responses about your brand.

What data does Klairia store for scans?

The current product messaging says Klairia stores topics, generated prompts and public LLM responses, not customer data.

Related features

Build the full AI visibility workflow.

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