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The Automotive
AI Visibility Index.

2026

How AI engines actually recommend cars to buyers. Five engines, twelve categories, eighty-four brands, six thousand prompts.

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Key Findings

The EU Automotive AI Visibility Index 2026 analyzes 29,981 AI answers to unbranded buyer queries across 5 AI engines (ChatGPT, Google AI Mode, Google AI Overview, Perplexity, Microsoft Copilot), 12 vehicle categories, and 84 automotive brands.

, Across the entire index,

AI's most-recommended automotive brands.

Two views. The brands that own the largest share of AI's automotive conversation. And the brands AI ranks number one most often.

Podium 01 · Share of AI Voice

Weighted by category market size.

Brand's share of all AI brand-talk in each category, weighted across the twelve categories by each category's slice of the $2.5T US auto market. Reads as the brand's slice of AI's automotive conversation.

Podium 02 · Recommendation Breadth

Most often in AI's top three.

Count of categories where the brand lands in the top three AI recommendations. Captures consistent contention rather than narrow wins. Ties broken by combined $-share of those categories.

These brands lead the AI visibility race in automotive.

Filter by AI engine, category, and snapshot. Click any brand to see its profile across the index.

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The most-cited publishers in AI's automotive answers.

Independent editorial publishers dominate. No automotive brand's own website appears in the AI citation set.

The publishers fueling AI answers in automotive.
Top citations across the report.
Percentage = how often the source appears across all prompts in the report. A value above 100% means the source is cited more than once per prompt on average.
The social platforms driving AI's car answers.
Social media accounts for 21.4% of all citations in this report. Here is how they split.
Percentage = share of all social-media citations going to each platform. Hover any number to see the raw citation count.
Underlying dataset