Press kit · A3 Brands Research
Dealership AI Search Study, August 2026
Everything on this page is free to reuse with credit. The five figures carry the credit line in the image. The one-page summary is not behind a form. The full dataset and methodology are available to journalists and researchers on request.
Figures, 2× PNG with credit
PNGHeadline card
AI Search Cites 0.8% of Dealership Inventory Pages · 3200×1584
PNG21.1% vs 0.8%
Editorial pages cited vs vehicle detail pages cited; 27× ratio
PNG89% of dealerships
291 of 328 show the pattern individually; the 661→328 funnel
PNGTechnical readiness
Nine checks, 100% to 4.3%; readiness did not predict citation
PNGCited vs uncited pages
Words, headings, spec terms; middle 50% and median
PNGCites vs names, by engine
AI Overview 98% · 6%; Gemini 61% · 51%
Suggested citation
A3 Brands. The Dealership AI Search Study. A3 Brands Research, August 2026. n=661 US franchise dealerships, 113,094 AI prompts across Google AI Overview, Google AI Mode, ChatGPT and Gemini. https://a3brands.com/ai-search-study/
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Key figures
- 27×
- an editorial page is more likely to be cited by an AI engine than a vehicle listing (21.1% vs 0.8%)
- 89%
- of dealerships publishing ≥10 pages of each type show the pattern on their own site (291 of 328)
- 0 of 4
- assumed signals predicted citation: technical readiness, star rating, review volume, platform
- +0.362
- correlation between editorial pages published and AI citation, the only signal whose interval excludes zero
- 98% · 6%
- Google AI Overview cites a source · names the dealership; Gemini 61% · 51%
- 97.9%
- of the dealerships audited are technically eligible for Google’s AI features
For the full dataset, the methodology, or an interview with the study’s authors, reach us through the contact page.