AI can help dealers respond faster, market smarter, and operate leaner — but with so many tools and so many promises, it’s hard to know what’s real. This quick quiz shows how your dealership adopts AI today and what to do next, but with so many tools and so many promises, it’s hard to know what’s real. This quick quiz shows how your dealership adopts AI today and what to do next.
How to answer: Pick the option that best matches how your store actually operates today (not what you wish it did).
The Questions
1) When someone pitches a new “AI solution,” your first reaction is…
A. “Let’s pilot it this month and see what breaks.”
B. “If it creates an edge, we want to be known for it.”
C. “Show me proof (ROI + integration). Then we’ll talk.”
D. “We’ll consider it once it’s common and supported.”
E. “We’re not buying hype — we’ll wait.”
2) Where is your dealership using AI right now?
A. Multiple areas (lead handling + marketing + ops) — actively experimenting.
B. One or two visible wins (ex, marketing content, chat, lead response).
C. Limited use — mostly “assisting” staff, not running workflows.
D. Minimal use — mostly curiosity or isolated tests.
E. Not using AI tools in any meaningful way.
3) How do you decide what’s “real” vs. “AI promises”?
A. We test quickly and measure in the store.
B. We watch what top dealers are doing and adopt what’s working.
C. We require references, measurable outcomes, and a clear use case.
D. We rely on our existing vendors to guide us.
E. We avoid it until the market settles.
4) Your biggest barrier to AI success is…
A. Time — we can’t test everything fast enough.
B. Choosing the right tools (too many options).
C. Integration + data quality (“garbage in, garbage out”).
D. Training + change management — getting the team to use it.
E. Trust — we don’t believe it’ll work or be worth it.
5) When it comes to leads after-hours, your dealership…
A. Has AI/live automation handling responses consistently.
B. Has a process and is improving it with tech.
C. Knows it matters but hasn’t solved it reliably yet.
D. Handles it manually when possible.
E. Doesn’t have a consistent after-hours plan.
(Why this matters: dealers are actively testing AI in customer engagement workflows, especially for 24/7 responsiveness.)
6) How confident are you that AI tools can pull accurate answers about your dealership (inventory, service, reputation)?
A. Very — we’re actively managing what tools can access and say.
B. Pretty confident — we monitor, adjust, and improve.
C. Somewhat — depends on the data source and vendor.
D. Not confident — accuracy concerns are a big issue.
E. We avoid it because wrong answers are too risky.
7) How connected is your tech stack for AI to work well (CRM/DMS/website tools)?
A. We’ve integrated systems or have a clear plan to do so.
B. Decent — not perfect, but improving.
C. Mixed — too many disconnected systems is the problem.
D. Mostly siloed.
E. We haven’t addressed integration at all.
8) Which statement best describes your team’s AI mindset?
A. “We learn by doing — bring it on.”
B. “We want to stand out and be ahead of competitors.”
C. “We’ll use it if it clearly makes money or saves time.”
D. “We’re cautious — keep it simple.”
E. “We’re not changing how we operate for this.”
9) Your dealership’s content + reputation strategy is…
A. Built to win in both search and AI answers (trust + expertise).
B. Actively improving — we want to be the dealer AI tools “recommended.”
C. Standard SEO/social — not specifically designed for AI discovery.
D. Basic presence only.
E. Not a focus.
10) If you had a simple “AI readiness / AI visibility” assessment (like SEO, but for AI tools), you would…
A. Buy it and run it quarterly.
B. Want it — especially if it benchmarks you vs competitors.
C. Consider it if it ties directly to revenue outcomes.
D. Maybe later.
E. Not interested.
Scoring
Count which letter you picked most often:
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Mostly A = Trailblazers
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Mostly B = Trendsetters
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Mostly C = Pragmatists
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Mostly D = Traditionalists
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Mostly E = Holdouts
🧨 Trailblazers (Innovators)
You’re the pilot store. You test early, learn fast, and aren’t afraid of imperfect tools.
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Strength: You’ll find wins before your competitors do.
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Risk: Tool sprawl and inconsistent outcomes if you don’t standardize. (The market is crowded and easy to overbuy.)
Next best moves (practical):
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Pick 1–2 priority workflows (after-hours lead response, marketing automation, inventory insights) and measure weekly.
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Set a data-quality rule: AI can only answer from sources you trust (“garbage in, garbage out”).
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Create an “AI Owner” role (even part-time) to prevent chaos and keep learning organized.
✨ Trendsetters (Early Adopters)
You’re the “dealer others watch.” You adopt early when it’s credible, and you care about visibility and reputation.
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Strength: You’re positioned to turn AI into a brand advantage.
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Risk: Choosing tools that look good in demos but don’t integrate well.
Next best moves:
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Focus on AI that touches customers first (24/7 engagement, faster answers).
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Build your “trusted source” footprint so AI tools recommend you (content + reviews + accurate business info).
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Demand “proof” from vendors: reporting, controls, and how they handle errors/accuracy.
🧩 Pragmatists (Early Majority)
You’re outcome-driven. AI has to be practical, measurable, and fit your current systems.
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Strength: When you adopt, you scale it well.
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Risk: Waiting too long can mean competitors lock in early advantages (especially around responsiveness + discovery).
Next best moves:
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Choose one measurable use case (after-hours response, appointment setting, service scheduling).
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Make integration a non-negotiable (CRM/DMS/website alignment).
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Start with a 30-day pilot that tracks: response time, appointment set rate, lead-to-show rate.
🧱 Traditionalists (Late Majority)
You want stability. You’ll adopt once it’s proven, standard, and supported by vendors you trust.
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Strength: You avoid shiny-object distractions.
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Risk: Falling behind the competition.
Next best moves:
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Start with low-risk AI assists (marketing drafts, internal Q&A, scripted lead replies).
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Build internal training + usage expectations (most dealers want more education).
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Improve “AI-ready basics”: reviews, listings, website clarity, FAQ content.
🧊 Holdouts
You’re skeptical — and that’s understandable. AI is noisy, and errors feel risky.
Strength: You protect the business from bad tools and wasted spend.
Risk: Competitors may outpace you in customer response speed and “being recommended” by AI systems.
Next best moves:
Don’t “do AI.” Do one pain-point (like after-hours).
Demand controls: approved data sources, escalation to humans, and reporting on accuracy.
Run a basic readiness check (systems + data + process). You don’t need hype — you need clarity.
Need help implementing automation and AI into your dealership? Maritz is always here to help advise on what we see is working best for dealerships in the marketplace, and we'd love to help you take your dealership to the next level. Learn more about how our coaches can help you make the most of your technology.