mAIr Insight — what AI tells about your market, turned into decisions.
Your customers are already asking AI how to solve their problems, what to buy, what to give. In its answers, AI tells a story about your market: it highlights criteria, uses a vocabulary, sets an order of priorities. mAIr Insight measures that story — to understand how AI presents your market to your customers, and decide how to fit into it.
Have you wondered whether what AI recommends could serve your business?
When a consumer describes a need to an AI — without naming a single brand — the AI answers. It doesn't just suggest: it explains. It says which criteria matter, what vocabulary to use, what steps to follow. That answer is a market signal: it reveals how AI frames the demand, and therefore what thousands of buyers hear before they even think of a brand.
What Insight covers
Any need a customer can express to an AI is a measurable intent. A few real-world examples:
- The buying choice — "which brand of [product] to choose", "the best [product] in 2026".
- The comparison — "X or Y, which one?": what AI answers when two options compete, and on what criteria.
- Problem solving — "how to remove a grease stain", "what to do about aphids", "my back hurts": the need before the product category.
- The gift / the occasion — "what to give a teenager", "a gift under $30": intent by use context.
- Budget / constraint — "a good cheap restaurant in Lyon", "a reliable used family car": the mental price range AI files you under.
- Proximity — "a plumber near Nantes", "a good bakery in the 11th arrondissement": the local recommendation.
Each type of intent opens a different reading of your market. Insight measures the ones that matter to you — across your sectors, your languages, your regions.
What Insight measures in the answer
The criteria AI highlights
On a need, AI judges by precise criteria — "thread count" for sheets, "cushioning" for shoes, "defining your niche" for a project. What it tells you: the axes on which AI evaluates your market. A brand communicating on other criteria speaks a language AI doesn't hear.
The vocabulary and the order of the discourse
The same need can be phrased ten ways, and AI answers with words, priorities and an order of its own. What it tells you: the exact language of your market as AI validates it, and what it puts first — because what's cited first captures attention, like the top spot in a search.
Why AI says it: from memory, or from the web
AI answers in two ways. From memory (model knowledge): its discourse comes from its training — the default mental map of your market, the one it serves when the customer specifies nothing. From the web (live): its discourse comes from human sources, cited and dated. What it tells you: not just what AI says, but where it comes from — and the gap between the two, which reveals whether the web is shifting how your market is perceived.
Market intelligence measured, not guessed.
- Repeated — each intent tested n=20: the presence rate is a fact observed over 20 queries, not an impression. Beyond that, our tests show that increasing the number of queries yields no more relevant result.
- Mechanical — Criteria, vocabulary and sources recorded in Python from the raw answers, through an in-house process. AI answers; it never computes the result.
- Per AI — ChatGPT, Claude, Gemini, Mistral, Perplexity, and many others, measured separately (different sources). The gap is information.
- Model knowledge and live web, separated — What AI recommends 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 the perception on each equips you to adjust your strategy.
- Sealed — Every report is dated and sealed (HMAC). You can prove, later, what AI displayed that day — no one else can.
An honest caveat: Insight gives you material to decide — it doesn't decide for you and guarantees no commercial outcome. It reveals, maps, anticipates; it doesn't promise you'll "win" a market. And an AI remains a black box: we control the measurement conditions, not its inner workings.
Who it's for
Executives and marketing leaders who want to understand their market as AI presents it — to anticipate demand and steer their decisions.
Marketing / communication agencies that want to bring their client a reading of the market no one else measures: the intentions, the trends, the angles to invest in. See the Agencies offer
Seasonality: on "gift" intents or those tied to a period, Insight is especially telling ahead of peak moments (holidays, back-to-school…).
Turn what AI recommends into decisions.
Build your study (intentions × AI), see the price before you order. Your credits are universal, usable across all mAIr products.
Each study hands you a full report and a neutral prompt, usable with your LLM, your agency or your teams — the material is yours.