The LirenPrism Observatory

Our AI visibility measurements — published, dated and sealed.

By the LirenPrism team

FeaturedVision

GEO — "Make your site accessible and optimized for AI so they come to find your information." Do you really believe it?

GEO is often presented as the new extension of SEO: making your content understandable, structured and accessible to artificial intelligence so that it can be used in their answers. The idea sounds logical. But it rests on a prior assumption that is rarely measured: does AI actually come to consult your website?

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Why is a website rated A in GEO, online for years, actually invisible in AI answers?

GEO has entered the corporate vocabulary very quickly: tools analyze websites, assign grades and report a level of optimization for AI engines. But what is an excellent optimization score worth when you measure the answers an AI actually produces? A measurement carried out by LirenPrism reveals a gap worth examining closely: a website rated A by a GEO analysis tool can remain entirely absent from an AI's answers on a query directly tied to its own business.

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Can I trust an AI's answer for market research?

Artificial intelligence has become a natural tool for exploring a market. A single question is enough to obtain, within seconds, a list of criteria, players, trends or an analysis method. The answer is usually structured, well argued and coherent enough to give the impression of a complete view of the subject. Yet one question remains: is what the AI chooses to put forward stable enough to serve as the basis for market research?

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What if your real competitors were the ones chosen by AI?

When we talk about competition, one idea seems obvious: competitors are the companies fighting over the same customers. But does that logic still hold when consumers ask an AI for advice? LirenPrism's measurements suggest a new phenomenon is emerging: AIs build their own competitive arena.

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Can a business exist without being seen by AIs?

For years, a company's visibility played out on search engines. The rise of generative AI is changing that logic: more and more users now ask their question directly and expect a recommendation. A new question arises — can a business exist without ever being seen by AIs? At LirenPrism, we measured it.

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Are AI responses stable enough to inform a decision?

Our measurements show that the same AI can rely on different criteria to answer the same question. If the criteria change, can you still trust the answer?

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Is the problem really the AI… or the data we feed it?

One measurement. One shift. One strategic question.

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When all AI end up recommending the same thing

One measure. One phenomenon. One major question.

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What if the AI answering you wasn't always the same?

Two modes, two lines of reasoning, two possible answers. Depending on whether an AI draws on its internal memory or consults the Web, the criteria it foregrounds can change. Our measurements show this on a specific question — even though the user cannot see the difference.

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AI is creating a new form of economic invisibility

A business can thrive in its market yet be entirely absent from AI answers. Not because it is poor, nor because it lacks customers — simply because artificial intelligence lacks enough usable information to recommend it. At LirenPrism, we measure this phenomenon, which we call AI-driven economic invisibility.

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Référencement IA : un groupe international totalement absent des moteurs

Comment un groupe international peut-il être totalement invisible sur les moteurs d'IA ? Les résultats sont choquants : les IA d'Anthropic, Google et OpenAI s'accordent sur une absence totale, avec un taux de présence de 0 % pour ce groupe.

Conversion

GEO (Generative Engine Optimization) : six marques captent plus de 8 réponses sur 10 selon nos mesures

L'émergence des moteurs de recherche basés sur l'intelligence artificielle modifie la répartition de la visibilité en ligne. Contrairement aux moteurs traditionnels, ces outils tendent à concentrer leurs recommandations sur un nombre restreint d'acteurs.

Every measurement is run with mAIr Signal.