--- title: "SI Visibility in Automotive Industry (2026 Report) | Brantial" description: "Discover how automotive brands perform in SI search. Brantial’s 5,000-prompt analysis reveals visibility trends, top brands, and key insights across SI models." source_url: "https://brantial.ai/reports/si-visibility-automotive-industry-2026-report/" lang: "en" --- SECTOR REPORT AUTOMOTIVE · SECTOR REPORT JUN 2, 2026 # SI visibility in automotive: a 5,000-prompt analysis Automotive is one of the most contested categories in answer engines. We sent five thousand structured prompts to four models to measure which brands get referenced and in what context. The result shows visibility concentrating in a small group. **5,000** PROMPTS ANALYSED informational, comparison, decision **59,400** MENTIONS FOR THE TOP 10 35,200 in the top 5 **71%** SHARE HELD BY THE TOP 10 of all mentions **4** MODELS COMPARED identical prompt set 2026 REPORT · INDUSTRY DATA ## Brand Visibility Distribution in Automotive **Top 5** _62% share_ The top five brands take 62% of model-comparison queries; 30+ brands share the long tail. From a 1,400-prompt universe. The leader Brand #5 Long-tail avg. ## At a Glance Scope **42 brands, 14 sub-categories, Türkiye and Europe** Prompt types **Informational, comparative, purchase intent** Models **ChatGPT · Gemini · Perplexity · Google AI Overviews** Measurement **Brand variants consolidated into single entities** Period **April-May 2026** Publication **Full report gated, dataset on request** 01 / THE CHALLENGE ## Not ranking, but being inside the answer Users no longer see ten links, they get one synthesised answer. That moves competition from position to source selection, and in automotive that contest is markedly uneven. × The same prompt set produces a different brand distribution in every model. × Sub-brand and model-name variants distort measurement. × Dealer and third-party content overshadows the brand's own pages. × Looking good on one platform does not mean visibility across the ecosystem. 02 / THE WORK ## Methodology The report is a repeatable measurement protocol rather than a one-off crawl. The three steps below run identically every quarter. STEP 01 ### Prompt set design Informational, comparative and decision-intent prompts were balanced to reflect real user behaviour, with equal weight per sub-category. 5,000 prompts14 sub-categories STEP 02 ### Entity normalisation Brand, sub-brand and model-name variants were mapped to a single entity. Otherwise the same brand is counted under several names and visibility splits artificially. 42 brands · 610 variantsManual validation STEP 03 ### Visibility score Mention frequency, citations and position inside the answer were weighted into a score per brand, with model-level differences reported separately. Breakdown per modelQuarterly repeat 03 / RESULTS AT PROMPT LEVEL ## The top five brands and the model gap Same prompts, different models: the order of leadership holds, but the share distribution shifts noticeably. BRANDMENTIONSVISIBILITY SCORESTRONGEST MODEL Toyota 9,840 **88.6** ChatGPT Mercedes-Benz 8,120 **84.1** Gemini BMW 7,460 **81.7** Perplexity Volkswagen 6,030 **74.9** ChatGPT Audi 3,750 **68.2** AI Overviews SAMPLE: 5,000 PROMPTS · 42 BRANDS · 4 MODELS · SOURCE: BRANTIAL PROMPT CONSOLE · APR-MAY 2026 > The most uncomfortable finding is this: a brand's own site gets quoted less than dealer and comparison sites. That changes where the content budget goes. > > Brantial research team The full dataset and per-brand breakdown are available on request. 04 / WHAT IT MEANS ## Visibility is not incremental, it is a threshold The data shows automotive brands are either consistently present in answers or effectively invisible. The middle band is thin, so the work that matters is structural source-worthiness rather than small improvements. The practical conclusion: single-platform optimisation is not enough, and third-party source ecosystems and entity consistency matter at least as much as your own site. ## Other Case Studies HEALTHCARE TOURISM **17 / 20** ### Becoming a recommended provider on decision prompts [17 / 20](https://brantial.ai/case-studies/livelifetaller-started-gaining-visibility-in-target-si-prompts/) SUPPLEMENTS / FMCG **98.7%** ### Category visibility on unbranded prompts [98.7%](https://brantial.ai/case-studies/si-visibility-collagen-product-group/) BANKING **+2,414%** ### Measurable growth in ChatGPT-originated traffic [+2,414%](https://brantial.ai/case-studies/si-driven-growth-in-banking-service/) [Run the same audit on my brand](https://brantial.ai/brandscore/) [Browse all case studies](https://brantial.ai/case-studies/)