AI Voice Share Landscape

Vehicle Data & History

Which vendors are being cited in AI answers when buyers research vehicle data & history? Data from 80 AI queries across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.

Last measured September 28, 2026 · Methodology

AI Voice Share Leaderboard

1
Nhtsa126.1%
2
Carfax34.8%
3
Iseecars23.9%
4
Autocheck21.7%
5
Vincheck19.6%
6
Forcar13%
7
Nmvtis10.9%
8
Vindecoded10.9%
9
Vinspecs8.7%
10
Vincheckengine8.7%
11
Vinaudit6.5%
12
Epicvin6.5%

Voice share = % of AI answers that mentioned each vendor across 80 buyer-intent queries. Pipeline estimate based on category query volume × citation CTR (2.5%) × opportunity rate (5%) × estimated ACV. For context only — not audited pipeline figures. Full methodology →

What AI voice share means for vehicle data & history vendors

B2B buyers increasingly start vendor research in AI engines. When a buyer asks ChatGPT or Perplexity which vehicle data & history vendor to evaluate, the answer shapes their shortlist before they visit a single website. Vendors with high voice share get into consideration sets they didn't have to earn through ads or SEO.

This data is measured via standardized, context-free API calls — the same query sent to each LLM in a fresh session, repeated across 12 buyer-intent prompts. It represents baseline citation behavior, not personalized results.

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Data published by Catalyst GTM. Updated each time a new industry map is rendered. Coefficients and methodology at gotcatalyst.com/aeo-methodology. Voice share is measured at a point in time and does not represent permanent rankings.