# Three AI engines, three different winners in electric cars.
> ChatGPT, Gemini, and Google AI Mode each crowned a different electric cars brand on 2026-06-28 — a rare full divergence across the three engines tracked by…

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Source: Cite Solutions (cite.solutions)
Published: 2026-06-28
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[The CITE Index](/state-of-ai-india)/[Findings](/state-of-ai-india/findings)/Electric Cars

28 June 2026·Engine divergence

# Three AI engines, three different winners in electric cars.

ChatGPT, Gemini, and Google AI Mode each crowned a different electric cars brand on 2026-06-28 — a rare full divergence across the three engines tracked by the CITE Index.

Permanent finding·`cite.solutions/state-of-ai-india/findings/three-engines-disagree-electric-cars-2026-06-28`

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On 2026-06-28, ChatGPT, Gemini, and Google AI Mode each named a different electric cars brand as their #1 — a state of full engine divergence that is rare in the CITE Index.

* **ChatGPT:** Mahindra BE 6 (65.9% SoV on that engine)
* **Gemini:** Tata Punch EV (65.9% SoV on that engine)
* **Google AI Mode:** Mahindra XEV 9e (61.0% SoV on that engine)

### Why this matters

Engine divergence is a measurement of the **fragmentation of the AI shelf**. When all three engines agree on a winner, a single brand owns the category. When they disagree, the category is contested — and the brand that wins is the one whose citation pool reaches all three engines.

For AEO specialists: full divergence is the highest-stakes signal in the CITE Index. It tells you which engines you have _not yet_ won — and which sources you need to be cited on to flip them.

— The CITE Index, 28 June 2026

The underlying daily edition

This finding draws from the 28 June 2026 edition of Electric Cars.

[View edition →](/state-of-ai-india/electric-cars/reports/2026-06-28)

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