Research hub
The evidence behind the agents.
Dealer AI's product decisions are built on published research — lead response studies, question-asking experiments, persistence data. These reviews name every study, state the caveats, and separate what's known from what's folklore. Applied versions live on the blog.
Evidence review
The Engagement Science of Asking One Question at a Time
Question-asking research from Harvard, choice-overload studies, and cognitive-load theory — why conversations that ask less convert more, and how it applies to dealership BDC.
Jun 26, 2026 · 8 min readRead →
Evidence review
How Many Follow-Ups Is Too Many? The Persistence Curve
What contact-strategy research says about follow-up attempts, cadence timing, and channel mix — and where persistence tips into spam for dealership leads.
Jun 17, 2026 · 8 min readRead →
Evidence review
Speed to Lead: What the Evidence Actually Says
A review of the research on lead response time — the Harvard Business Review audit, the Lead Response Management study, and what the numbers mean for dealerships.
Jun 8, 2026 · 9 min readRead →