AI chatbots in the automotive industry – promise or hype?
A structured evaluation process for AI chatbots makes it possible for the first…
New AI consulting firm focuses on measurable AI results and establishes quality standards…9senses Market Analysis: Only 16 out of 129 automotive providers in the DACH region use AI chatbots for customer service - with significant variations in quality
Highlights:
- Only 16 of the 129 automotive providers tested in Germany, Switzerland, and Austria operate an AI chatbot on their website
- Overall ratings of the audited bots range from 1.49 to 4.03 (out of 5) – with an average of 3.17
- 10 of the 16 bots hallucinate, making up content
The German-speaking automotive industry lags significantly behind other countries and industries in the use of AI in customer service - and where AI is already being used, it rarely meets expectations. This is the key finding of a comprehensive market study evaluating 129 websites for “AI Chatbots in Customer Service in the German-speaking Automotive Industry” conducted by 9senses AG in the second quarter of 2026.
Low implementation rate, mixed quality
On top of an unexpectedly low AI implementation rate of just 12.4 % on the 129 websites, a clear pattern emerges among the audited AI chatbots: the user interface is often well-designed (average UI score: 3.56 out of 5), while response and dialog quality lag noticeably, each scoring around 3.0. Furthermore, there is a wide variation in quality, not only between chatbots but also within the same bots.
Hallucinations, drop-offs, silent loss of trust
Among the scenarios tested, the bots performed the worst on car recommendations – exactly the area that would contribute most directly to sales. Only 6 out of 16 bots passed the hallucination stress tests using a deliberately fictitious vehicle model. Most of the bots disappoint, offering little business value (average score of 2.25) and posing a high risk of user frustration.
What distinguishes best performers?
The difference in quality is not due to lack of available information, but to the dialog architecture - in each of the five use cases tested, at least one bot demonstrates how it should be done, yet hardly any bot achieves this performance level across all dimensions we evaluated.
AI chatbot - yes or no? is not the right question: it is about what quality an AI chatbot must show to make a positive contribution. A bot that doesn’t solve problems well is not neutral - it ties up budget and erodes trust.
Johannes Kunz, Founder and CEO at 9senses
About this study
The study “AI Chatbots in Customer Service in the German-Speaking Automotive Industry” (Q2/2026) is based on a structured analysis of the German-language websites of 129 car manufacturers and major multi-brand dealerships in Germany, Switzerland, and Austria. The 16 AI chatbots identified were rated on a scale of 1 to 5 using the 9senses Chatbot Audit Framework. The full study can be downloaded here.
