Aions

Insights

Measurement notes from practice

Which decisions shape the measurement result, which assumptions hold up under testing, and what can be observed in AI recommendations.

Change compared with the simple questionpercentage points
Rewording11 Search terms12 Personal situation17 With conditions21

Share of the five most-mentioned insurers, average of ChatGPT, Gemini, Copilot

Aions study 2026 · Part 1: Car insurance

Study

2 November 2026

Does the way a question is asked change which providers AI systems mention?

Study of 11,566 AI answers: search terms barely change which providers AI mentions, conditions such as a price limit markedly do. Part 1: car insurance.

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When a question states conditions such as a price limit or cover, the providers AI systems mention change markedly. Search terms instead of full sentences change little.

Measurement Practice

4 October 2026

When does a well-known shop drop out of AI recommendations?

A Swiss online shop appeared in 18% of AI answers to four purchase questions and in 3% for eight others, mainly for questions about the best shop, a comparison or returns. We formed the groups after the measurement.

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Measurement Methodology

4 October 2026

Why does a single AI visibility score say so little?

AI answers vary from query to query and differ considerably between systems. A score without a sample size and an interval is a snapshot. With our own data, including a mistake of our own.

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How AI Searches

4 October 2026

What do AI systems search for before they answer, and what does that mean for SEO?

AI systems break a question down into their own sub-searches. Pages that rank well there are cited more often, so SEO counts. Whether a page can be read and whether a provider is chosen needs a separate check.

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Measurement Methodology

12 September 2026 · updated 4 October 2026

The most important measurement decision happens before the first run: which prompts actually count?

A win rate can be measured cleanly and still be commercially irrelevant. What matters is which decision intents underlie the measurement and where they come from.

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Technical Readiness

12 September 2026 · updated 4 October 2026

Client-side rendering: when people see everything and machines see an empty page

Client-side rendering is not inherently bad. It becomes a problem when core content only exists after JavaScript has executed.

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Further analyses will follow from ongoing measurements and our research track.