{"id":225990,"date":"2026-07-03T08:33:00","date_gmt":"2026-07-03T08:33:00","guid":{"rendered":"https:\/\/www.9senses.ai\/?p=225990"},"modified":"2026-08-27T12:24:33","modified_gmt":"2026-08-27T12:24:33","slug":"automotive-chatbots","status":"publish","type":"post","link":"https:\/\/www.9senses.ai\/fr\/automotive-chatbots\/","title":{"rendered":"AI chatbots in the automotive industry &#8211; promise or hype?"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Highlights:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Only 16 of the 129 automotive providers tested in Germany, Switzerland, and Austria operate an AI chatbot on their website<\/li>\n\n\n\n<li>Overall ratings of the audited bots range from 1.49 to 4.03 (out of 5) \u2013 with an average of 3.17<\/li>\n\n\n\n<li>10 of the 16 bots hallucinate, making up content<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">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 \u201cAI Chatbots in Customer Service in the German-speaking Automotive Industry\u201d conducted by 9senses AG in the second quarter of 2026.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Low implementation rate, mixed quality<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Hallucinations, drop-offs, silent loss of trust<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Among the scenarios tested, the bots performed the worst on car recommendations \u2013 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.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What distinguishes best performers?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">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.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">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\u2019t solve problems well is not neutral - it ties up budget and erodes trust.<br><br><em>Johannes Kunz, Founder and CEO at 9senses<\/em><\/p>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\">About this study<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The study \u201cAI Chatbots in Customer Service in the German-Speaking Automotive Industry\u201d (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 <a href=\"\/wp-content\/uploads\/2026\/07\/9senses-KI-Chatbots-im-Automobilsektor.-Q22026.pdf\">downloaded here<\/a>.<\/p>\n\n\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/9senses-KI-Chatbots-im-Automobilsektor.-Q22026.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Whitepaper (German)\"><\/object><a id=\"wp-block-file--media-aff56471-a886-4318-9770-a370bf68f8e8\" href=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/9senses-KI-Chatbots-im-Automobilsektor.-Q22026.pdf\">Whitepaper (German)<\/a><a href=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/9senses-KI-Chatbots-im-Automobilsektor.-Q22026.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-aff56471-a886-4318-9770-a370bf68f8e8\">Download<\/a><\/div>\n\n\n\n<div class=\"wp-block-file\"><object class=\"wp-block-file__embed\" data=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/Press-Release_9senses-Whitepaper.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Press Release\"><\/object><a id=\"wp-block-file--media-01634a0a-343a-43b1-ba95-4444cf562327\" href=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/Press-Release_9senses-Whitepaper.pdf\">Press Release<\/a><a href=\"https:\/\/www.9senses.ai\/wp-content\/uploads\/2026\/07\/Press-Release_9senses-Whitepaper.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-01634a0a-343a-43b1-ba95-4444cf562327\">Download<\/a><\/div>","protected":false},"excerpt":{"rendered":"<p>9senses Market Analysis: Only 16 out of 129 automotive providers in the DACH region use AI chatbots for customer service &#8211; with significant variations in quality<\/p>","protected":false},"author":2,"featured_media":226248,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"ns_references":"","ns_references_title":"","n9tr_seo_title_de_DE":"KI-Chatbots in der Automobilindustrie - Versprechen oder Hype? | 9senses","n9tr_seo_description_de_DE":"9senses-Analyse: Nur 16 von 129 Herstellern und H\u00e4ndlern in der DACH-Region setzen auf KI-Chatbots im Kundenservice - mit gro\u00dfer Qualit\u00e4tsstreuung.","n9tr_seo_title_fr_FR":"","n9tr_seo_description_fr_FR":"","footnotes":""},"categories":[51,50],"tags":[],"class_list":["post-225990","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-homepage"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/posts\/225990","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/comments?post=225990"}],"version-history":[{"count":31,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/posts\/225990\/revisions"}],"predecessor-version":[{"id":230566,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/posts\/225990\/revisions\/230566"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/media\/226248"}],"wp:attachment":[{"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/media?parent=225990"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/categories?post=225990"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.9senses.ai\/fr\/wp-json\/wp\/v2\/tags?post=225990"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}