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Guides, analysis, and field notes on how AIs pick their sources — and how to show up in their answers.

Featured

LLM Monitor: From Measuring AI Visibility to GEO Action

LLM Monitor consolidates AI visibility measurements, reveals query fan-out and source usage, and turns competitive gaps into actionable GEO opportunities.

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Non classé 26 August 2026

Key takeaways

LLM Monitor consolidates multiple runs of the same query, reveals the subqueries and sources used by AI systems, then turns visibility gaps into actionable opportunities. The goal: move from a one-off observation to a process marketing teams can actually manage.

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Non classé 28 July 2026

I tested AEO on our own content: here’s what it really changes for SEO

AEO changes the rules of the game: AIs no longer rank pages, they pick one answer. Definition, key differences from classic SEO, and a concrete method to get cited by ChatGPT, Perplexity and Gemini.

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AI Info GEO 1 July 2026

How AI Chooses Its Sources: From Question to Answer

Query fan-out, web search, chunking, scoring and context: discover the workflow AI systems use to select sources and build an answer.

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Non classé 26 June 2026

How to Structure a Project in LLM Monitor for Actionable Results

Structure your projects by analysis angle to turn your AI visibility data into actionable decisions

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GEO AI Info 2 June 2026

The day I realized llms.txt changed almost nothing for my AI visibility

Llms.txt promises better visibility in AI systems, but its real impact remains limited. What I observed in practice between SEO beliefs and actual LLM usage.

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GEO 1 June 2026

How to influence the sources used by AI concrete levers and field insights

Influencer les sources utilisées par les IA est le levier le plus direct pour améliorer sa visibilité dans leurs réponses. Méthode concrète, types de sources à travailler en priorité et ce qu'on ne peut pas contrôler directement.

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AI Monitoring 29 May 2026

Which queries to monitor for your brand in AI a selection method and field insights

Choosing the right queries to monitor in AI is a structural step that is often overlooked. A practical method, query categories to cover and selection mistakes that give you a partial view of your visibility.

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AI Info GEO 28 May 2026

How to structure an AI visibility strategy framework steps and field insights

Structuring an AI visibility strategy requires distinguishing what is measured, what is optimized and what is managed over time. A practical method, applicable framework and common mistakes that waste time and resources.

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AI Info 27 May 2026

The lifecycle of a brand mention in AI how it appears evolves and disappears

A brand mention in AI does not last indefinitely — it evolves, transforms and can disappear. Understanding the lifecycle of these mentions helps you anticipate variations and manage your visibility over time rather than being caught off guard.

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AI Info 19 May 2026

What content do ai use to generate their responses

Understanding which types of content ai models use to generate their answers helps identify the right levers to improve your visibility. Methods, criteria and real world observations.

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Non classé 19 May 2026

Why some brands are cited by AI and others are not what I really observed

Why do some brands always appear in AI responses while others are never mentioned? A breakdown of the real criteria, observed signals and what truly makes the difference.

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Non classé 18 May 2026

How to build an AI visibility dashboard metrics method and field insights

Building an AI visibility dashboard requires defining the right indicators before choosing tools. A practical method, key metrics and common mistakes to manage your presence in generated responses.

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GEO 15 May 2026

Quick method to audit your visibility across multiple AI models field protocol and experience

Auditing your visibility across multiple AI models at once requires a clear method. A practical protocol, step by step process and key signals to get a reliable picture without spending hours on it.

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GEO 15 May 2026

How to analyze your brand sentiment in AI responses method and field insights

Analyzing brand sentiment in AI responses goes beyond knowing whether you are cited. A practical method, key signals to observe and common mistakes to understand how AI truly talks about you.

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GEO 13 May 2026

Being visible in Google Gemini the real lessons after testing

Improving your visibility in Google Gemini takes more than good content. Real world insights, key signals and practical levers to appear in ai generated answers.

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GEO 13 May 2026

AI visibility KPIs which ones to really track and how to interpret them

Not all KPIs are equal when measuring visibility in AI. Understanding which ones to really track, which to ignore and how to interpret them radically changes the quality of your management.

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GEO 12 May 2026

How to appear in ChatGPT what actually works today

Understanding how ChatGPT selects its sources is becoming a key visibility lever. Practical methods, citation criteria, and content optimization to appear in generative AI answers.

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GEO 12 May 2026

How to build an AI visibility strategy steps priorities and field insights

Building an AI visibility strategy requires starting with measurement before optimizing. Concrete steps, action priorities and common mistakes to structure an approach that holds over time.

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Non classé 11 May 2026

Optimizing your brand authority for ai what I really learned in the field

Optimizing your brand authority for ai goes beyond seo. Credibility signals, third party sources and overall consistency shape what truly influences generated answers.

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GEO 11 May 2026

AI monitoring vs social listening why one does not replace the other and how to combine them

Social listening does not capture what AI says about your brand. Understanding why AI monitoring is a distinct and complementary discipline helps you avoid a major blind spot in your reputation management.

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