AI Search Visibility Monitoring

See when AI assistants recommend competitors before you.

Run weekly progressive-prompt scans across your selected models and languages, then track first-mention level and competitor gaps over time.

Start free scan See plans

No credit card. Your first scan in <5 minutes.

AI-First Workflow

Run Klairia from your preferred LLM.

Paid workspaces can generate API keys, connect through MCP, and manage visibility operations without leaving their agent.

Example flow MCP API

1 Ask LLM for visibility gaps
2 Add a new tracked site from chat
3 Update scan models & languages
4 Trigger a new scan on-demand

MCP + REST endpoints included on all paid plans

Operational proof points

Built for weekly signal quality, not one-off screenshots.

Comparable runs

Same topic set, same prompt order, and controlled generation settings to preserve week-over-week comparability.

Variance control

Runs are repeated per prompt so single-response variance does not distort strategic decisions.

Decision-ready output

Each scan surfaces mention position, first-mention level, and competitor presence in one board-readable weekly score.

Built for a clear operational question

Answer the questions your board is asking about AI search.

What do buyers see in ChatGPT before they ever visit your site?

Which competitor names keep winning generic category prompts?

Where does your brand vanish once the query switches to French or German?

How It Works

Weekly scans that feel like category intelligence, not vanity metrics.

Add one site

Your workspace starts with one tracked site and moves from baseline monitoring to sustained category coverage.

Generate topic stacks

Klairia stores more topics on higher plans, but each weekly scan stays focused on 5 active topics.

Run progressive prompting

Each topic moves from broad category prompts to highly specific alternatives and buying-language prompts.

See score, competitors & gaps

Snapshots roll up mention position, context and first-appearance level into a weekly visibility score.

Why teams buy

You do not need another rank tracker. You need a reliable answer to whether your brand is entering the recommendation set before the buyer lands on your domain.

Plan rules

All plans scan weekly. Pro and Business store more topics, but every weekly run is capped at 5 active scan topics to keep execution focused and costs sane.

Trust & Reliability

Enterprise-grade tracking. Zero compliance headaches.

We built Klairia to provide clear, board-ready visibility metrics. Our infrastructure isolates signal from noise while keeping your organization entirely out of scope for data risk.

What we store

Topics, generated prompts, and public LLM responses only. No PII, no internal docs, no customer data.

Retention

Aggregated scores kept indefinitely for trend reporting. Raw API payloads purged after 90 days.

Anonymization

Prompts contain only public brand/category terms. No user identifiers or session data leave your workspace.

Model drift handling

We pin temperature=0, use identical prompts weekly, and flag provider model-version changes so you know when shifts are external.

AI output variance

LLM responses can vary run-to-run. Klairia tracks trends over weeks, not single snapshots, to surface real signal.

Pricing

Choose coverage that matches the market you want to own.

Compare all features

Starter

$39 / month

3 models, 2 languages, 5 stored topics, 4-score history.

Start Starter

Short answers for skeptical operators.

? Why not track every saved topic every week?

Higher plans store more research directions, but scans stay capped to 5 active topics so weekly signals remain comparable.

? Is this for agencies?

Not yet. Current plans are designed for a single workspace per account. Multi-workspace agency support is on the roadmap.

? How often does Klairia scan?

Every plan scans weekly so trend reporting stays consistent across all tiers.

? What happens after checkout?

LemonSqueezy handles billing. Klairia stores the subscription, customer portal URL and plan limits when the webhook arrives.