AI Study : Winners in AI in the electric car sector
About the study
- Through the AIBrandpulse360 tool, the study cross-references real vehicle registrations data with the visibility and share of voice of brands in AI systems such as ChatGPT.
- The results show that selling more does not guarantee being recommended by AI.
- Some brands over-index in conversational and algorithmic recommendation, while others, despite leading in sales, show visibility gaps in conversational environments where decisions are formed.
- AI operates mainly in the consideration phase: it answers questions about reliability, range, or usability, relying on a limited set of trusted sources.
- In this context, AI visibility is confirmed as a demand-driving lever, not just a reflection of sales.
What you will find
Actual Sales (Market Share) vs. AI Recommendation
Access a unique data cross-analysis between actual registrations of electrified vehicles in Spain (Q4 2025) and brand visibility in AI. Discover which manufacturers are “over-indexing” in recommendations and which suffer from a visibility deficit despite high sales volumes.
The authority sources that “train” the AI
Where does ChatGPT get its verdicts from? We reveal the map of media outlets and institutions that build the algorithmic narrative. Discover why a small group of institutional and industry media outlets account for nearly 50% of the citations the AI uses to recommend vehicles.
Brand sentiment: What does the AI actually “think”?
It is not enough for AI to mention you, how it does so matters. The report breaks down the reputational analysis of leaders such as Tesla, BYD, Kia, Hyundai, and Toyota, revealing which strengths the algorithm rewards and which frictions (such as concerns about after-sales service or maturity) hinder recommendation.
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