Dealer AI consulting should not start with a tool. It should start with the store: the leads, the phones, the website, the CRM habits, the fixed ops opportunities, and the managers who have to make the process work on Monday morning.
Dealer AI Guy helps dealerships turn AI from a vague priority into a short list of useful workflows with owners, SOPs, training, and simple measurements.
Before scheduling a paid engagement, you can run the same style of diagnostic as a free self-serve skill. Dealer AI Skills includes the installable Dealer AI Readiness Audit for Claude Code, Codex, Cursor, Gemini CLI, and other agent-skill-compatible tools. Run it first, then bring the score and gaps into the consulting conversation.
How the engagement works
- Diagnose. Review the website foundation, AI search visibility, CRM/BDC workflows, vendor stack, and obvious revenue leaks.
- Prioritize. Pick one or two AI use cases with a clear dealership outcome: faster response, more appointments, cleaner follow-up, better service retention, or stronger visibility in AI search.
- Implement. Build the workflow, prompts, SOP, reporting rhythm, and manager handoff so the process can survive outside the demo.
- Train. Teach the team what the workflow does, where human judgment stays in control, and how to use AI without creating customer trust problems.
- Measure. Track a small set of KPIs so the store knows whether the workflow is worth expanding.
Offers
AI Readiness Audit
A practical review of your website, AI visibility, process gaps, and vendor stack. Best for stores that need a clear map before buying another AI tool.
30-Day Dealer AI Implementation Sprint
A focused project to launch one dealership AI workflow, document the process, train the team, and define the scorecard.
Manager and Team Training Workshop
Plain-English training for managers, BDC, sales, marketing, or fixed ops teams. The goal is not to turn everyone into prompt engineers. The goal is to help the store use AI responsibly in the work it already does.
Fractional AI Advisor
Ongoing guidance for dealerships that want a practical AI point of view before vendor demos, website projects, process changes, or marketing decisions.
Best first pilot areas
- Missed-call and after-hours lead recovery
- BDC first response, no-show recovery, and dead-lead reactivation
- AI-ready website and answer engine visibility improvements
- Service declined-work follow-up, recall campaigns, and status updates
- Review mining, objection libraries, and manager coaching tools
- Vendor stack cleanup and AI buying criteria
Start with a useful question
The best first question is not "Which AI tool should we buy?" It is "Which dealership workflow is important enough to improve, simple enough to launch, and measurable enough to prove?"