Your customers query AI in two ways: by searching your sector ("the best brands of…"), or by asking a broad question where your field might appear ("how do I get my car ready for winter"). These two doors lead to different answers — and at each, mAIr Signal measures the same thing: your presence, your competitors, and the consistency of what AI says.

Two angles of inquiry

Angle 1 — Direct search on your field

When AI is asked about your sector, where are you?

This is the most direct angle: AI is asked about your category ("the best brands of [sector]"). mAIr measures whether you appear, at what rank, with what share of voice — and which competitors AI cites alongside or instead of you, including ones you weren't tracking.

This is the head-on battle of your market: on the ground where you're expected, does AI place you in the leading pack, or behind?

On a real measurement (tires, France setup): a dominant market leader came out first, but one brand was tracking 4 competitors when AI surfaced dozens.

Angle 2 — Indirect search, on a broad question

When the need is broad, does your field come up — and you with it?

Here, the customer names neither your brand nor even your category. They ask a broader question ("how do I get around safely in winter", "how do I maintain my home"). Two measurements follow: first, is your field even cited in the answer? Then, if it is, are you cited, and why — on what argument AI ties you (or not) to that broader need.

This is the angle of missed opportunities: conversations where your type of product would belong, but where neither your field nor your brand appears. The ground you didn't even think to watch.

The three measurements, on each angle

Whatever the angle, mAIr Signal always measures:

Presence — how often and at what rank you appear (presence rate, average rank, share of voice).
Competitors — who AI cites, declared and discovered, each quantified, with the attributes it ascribes to them.
Accuracy — the stability and contradictions of what's said about you, the misattributed attributes.

The line we don't cross : mAIr measures the instability and contradictions in what AI says — it states "AI claims X here and the opposite there", or "AI ascribes this attribute to you". It does not rule on what's true or false. A contradiction detector, not a lie detector.

Two angles × three measurements: a map of what AI says about your brand, from the broadest to the most precise.

A measurement, not an impression.

Repeated — n=20 per measurement: each rate is a fact observed over 20 queries, not a single answer. AI's instability is measured, not endured. Beyond that, our tests show that increasing the number of queries yields no more relevant result.
Mechanical — All scores are computed in Python from the raw answers, through an in-house process. AI answers; it never computes its own score.
Per AI — ChatGPT, Claude, Gemini, Mistral, Perplexity, and many others, measured separately (they don't draw on the same sources). The gap between them is information.
Model knowledge and live web, separated — What AI knows from memory and what it finds on the web are measured separately, never mixed. When a customer queries an AI, nothing tells them whether the answer comes from the model's memory or a web search — yet the two don't respond to the same levers. Knowing your position on each equips you to adjust your strategy.
Same protocol for all — Your brand and the competitors are queried on the same prompts, at the same instant. The comparison is on a level playing field.
Sealed — Every report is dated and sealed (HMAC). You can prove, later, what AI displayed that day — no one else can.

An honest caveat: an AI remains a black box. We control the measurement conditions — repetition, computation, sealing — not the model's inner workings.

Who it's for

Brands that want to know, as facts, what AI says about them on these two angles — and track it over time.

SEO / search agencies that want to prove the value of AI visibility work, with figures, through a neutral third party. See the Agencies offer

Measure what AI says about your brand.

Build your measurement (questions × AI), see the price before you order.

Each measurement hands you a full report and a neutral prompt, usable with your LLM, your agency or your teams — the material is yours.

How it works