CDK in dealership software: 1.4% in Spanish and 8.0% in English
Global · Dealership softwareLeer en español
Does the AI answer change with the language?
CDK holds 1.4% share in Spanish answers and 8.0% in English for dealership software over the 4 weeks ending September 14, 2026, with intervals that do not overlap. The prompt language changes which brand AI recommends.
Record figures
- Leader share of voice
- CDK: 1.4%
- 95 % interval (mentions)
- 0.7% to 3.1%
- Answers naming the leader
- 6.2%
- Answers analysed
- 97
- Window
- 4-week window closed on September 14, 2026
- Models
- ChatGPT, Gemini, Claude
CDK holds 1.4% of the mentions in the Spanish answers about dealership software and 8.0% in the English ones. Both figures come from the same 4-week window closed on September 14, 2026, with 97 answers analysed per language across ChatGPT, Gemini and Claude, in the global market. The two ranges sit apart; the gap between languages holds on its own. In the English ranking CDK sits third. In the Spanish ranking it drops to eighteenth place.
The same category prompt, asked in two languages, returns a different picture of dealership software. For a brand competing in the category, the reference changes with the language of the question. In English, CDK is one of the names that appear near the head. In Spanish, that same brand is a minor presence and the head of the ranking belongs to other names. A position measured in one language says little about the other, and the distance between 8.0% and 1.4% marks how wide that difference gets for a single brand inside the same window.
How I measured it
In the 4-week window closed on September 14, 2026 I gathered 97 answers from ChatGPT, Gemini and Claude about dealership software in Global. The public benchmark measures every week which brands ChatGPT, Gemini and Claude name across 20 markets and 15 industries, in Spanish and in English. The models are queried through their APIs and without web search. Every mention is counted against a curated brand registry, with whole-word matching. Every brand that appears in a Quick Insight has been reviewed by a person. A brand's mention share is its part of the category's verified mentions in the period. The 95% interval is the margin of error of the share, calculated with the Wilson method. I calculate it on mentions and on answers. I publish a lead as clear when the second brand's share falls outside the leader's interval in both calculations. Inside it, it is a statistical tie.
Scope of the data
The figure covers the dealership software category in Global, with prompts in Spanish, on ChatGPT, Gemini and Claude, in the 4-week window closed on September 14, 2026; the models are queried through their APIs and without web search.
What to do with this figure
- Measure the brand with the same category prompts. Prompt Tracking runs prompts on the five engines.
- See which sources AI cites when it answers about the category. Prompt Tracking shows, for each prompt and model, the sources the answer cited, and AI Market Leaders groups them by brand.
- Cover the topics where AI leaves the brand out. Content Boost turns citation gaps into an editorial calendar with drafts.
About AuraMetrics
AuraMetrics measures how a brand appears in AI answers and validates the technical implementation behind that presence. The GEO Score is calculated on the GEO Framework, a public four-pillar methodology. It analyzes the sources AI cites. It measures visibility in ChatGPT, Gemini, Google AI Mode, Perplexity and Claude. It checks whether a shopping agent can buy from a store, with UCP checks. It turns citation gaps into a content plan with drafts. It generates llms.txt, OKF and ARD files. It delivers shareable reports and runs as white label for agencies. It publishes a weekly benchmark across 20 markets and 15 industries, and the Observatory of brands in AI.