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

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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 13 May 2026

Key takeaways

Best practice: build your KPIs on a query corpus that simulates the real intent of your prospects — recommendation, comparison, use case — not just queries containing your brand name.To avoid: tracking a single aggregated metric (like a “global score”) without breaking it down by model, query type, and persona. An average score always hides significant gaps.

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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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GEO 8 May 2026

Tools to analyze your visibility in ChatGPT what really works in practice

Analyzing your visibility in ChatGPT requires dedicated tools, different from traditional SEO tools. An overview of available approaches, their limits and what actually works in the field.

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GEO 7 May 2026

How AI choose the brands they recommend advanced data analysis and observed patterns

Understanding how AI choose the brands they recommend at a data level helps identify precise action levers. Analysis of observed patterns, quantitative signals and what the data truly reveals in the field.

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GEO 7 May 2026

How to choose the right prompts to test your AI visibility method examples and mistakes to avoid

Choosing the right prompts to test your AI visibility is a critical step that is often underestimated. A practical method, types of queries to prioritize and formulation mistakes that skew your results.

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GEO 6 May 2026

Free audit of my presence in ai what I really discovered

Evaluating your presence in ai for free often reveals unexpected gaps. Practical method, key signals to analyze and blockers that limit your visibility.

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GEO 6 May 2026

What I have really observed about ranking factors in AI search engines

Concrete analysis and real world insights on ranking factors in AI search engines: signals that truly matter, common mistakes, and the levers making a difference today.

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GEO 5 May 2026

Appearing in Perplexity AI what I really observed

Appearing in Perplexity AI follows different rules than traditional seo. Tested methods, key signals and practical actions to get cited in its answers.

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GEO 16 April 2026

How AIs Really Choose Their Sources (and Why Some Always Stand Out)

Understanding how AIs select their sources makes it possible to identify why some brands are cited and others ignored, and to concretely adjust your content strategy.

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