Frequently asked questions

The essentials on AI visibility measurement with mAIr — the concrete, the products, the uses. For deeper concepts, the Learn guides expand on each topic.

What exactly is a mAIr?

The mAIr is the platform's unit of measurement. 1 mAIr = 1 scan = 1 question × 1 AI. For example, asking 1 question to 3 AIs (ChatGPT, Gemini, Claude) uses 3 mAIr. You build your measurement and see the number of mAIr before you order.

→ See the details and estimate your price:Pricing

How much does a measurement cost?

The price depends on the number of mAIr in your measurement (questions × AI). The mAIr gets cheaper by volume, and no-commitment monthly subscriptions exist for regular use. The estimator gives you the exact price before any commitment.

→ Estimate my price:Pricing

Which AIs do you measure?

mAIr queries the main AIs separately — ChatGPT, Claude, Gemini, Mistral, Perplexity, and others. Each relies on different sources, so each is measured on its own: the gap between them is information in itself.

→ Why measure each AI separately:Search fragmented by AI

How does a measurement work, in practice?

You build your measurement (your questions, AIs), you order it, and you receive a dated and sealed report. The measurement is repeated automatically (n=20 per configuration) and all scores are computed mechanically — you have nothing to do but define what you want to measure.

→ What a report contains:Are the measurements reliable?

How long until I get my report?

Within a few minutes, depending on the complexity of your request: the more questions and AIs you add, the longer the measurement takes. This timing remains subject to the AI providers working properly, over whose technical incidents we have no control.

Do you measure in other languages / internationally?

Yes. mAIr measures in the language and market of your choice: just ask the question in that language. Results vary from one country to another, and that's exactly what the measurement reveals. Each question asked to an AI counts as 1 mAIr.

→ Why the language/market setup changes everything:Michelin case study

What's the difference between mAIr Signal and mAIr Insight?

Signal measures your brand: what AIs say about you (presence, competitors, consistency). Insight measures your market: what AI recommends when a customer describes a need without naming you. One starts from you, the other from the need.

→ Discover:mAIr Signal · mAIr Insight

What is the seal on reports for?

Each report carries a cryptographic signature (HMAC-SHA256) that guarantees it hasn't been altered after measurement. You can verify it directly on the site or via a QR code; and if you suspect tampering, you can download the original for comparison. That's what sets a measurement apart from a simple screenshot.

→ What "sealed report" means:What is mAIr

What company size is mAIr for?

From freelancers to large brands, and for agencies that measure for their clients. You pay per measurement (per mAIr) or by subscription depending on your volume — no minimum that would exclude small organizations.

→ See the plans:Pricing

Are my data and questions confidential?

Yes. We don't share any information about your queries and we don't use your data to train or feed our system. We apply strict GDPR, watch over your data within the site, and all your information is encrypted to protect it.

Can I use mAIr for my clients (agency)?

Yes. The partner offer lets agencies hand over personalized reports (your logo, your name, your account manager), while keeping the backing of a neutral measurement guaranteed by LirenPrism — that's what makes it valuable to your client. You also get access to sourcing (the sources that feed the AIs' answers).

→ The partner offer:The Agencies offer

Does mAIr improve my visibility in AI?

No, and that's deliberate. mAIr measures what AIs say — it doesn't optimize it. Acting on your visibility is the agencies' job (GEO); mAIr gives them, and you, the neutral measurement to know where you stand and whether the actions are working.

→ Measure vs optimize:Measure or optimize?

Is mAIr a competitor to AI visibility tools (Semrush, Profound…)?

mAIr stands out through its method: repeated measurement (n=20), separating what AI knows from memory from what it finds on the web, mechanical score computation, and a sealed report. The goal isn't one more dashboard, but a neutral, verifiable measurement.

→ What sets mAIr apart:What is mAIr

AI answers change all the time — does a measurement even make sense?

Yes, precisely because they change. mAIr measures over n=20 queries, not a single answer: the rate obtained is an observed fact, not an impression. Reliability comes from the method — a stable protocol, validated by our convergence tests, sealed and verifiable. And since visibility evolves, a measurement is repeated to track the trend.

→ Why repeat and reproduce:Are the measurements reliable? · Visibility is never a given