The automotive industry is buzzing. Everywhere you look — from vendor booths at NADA to your LinkedIn feed — it seems like every company is claiming to have the next great AI widget.

The phrase “AI-powered” is now table stakes. And frankly, it’s created a lot of noise that makes it hard for dealer principals and general managers to know what’s real and what’s just marketing hype.

You’re getting bombarded with tools that promise to automate customer service or engage more website visitors. While helpful, these tools rarely address core operational challenges that matter most. You need solutions that cut through the ambiguity and give actionable answers for the internal operations questions that keep you up at night.

The other truth is, not all AI is created equal — especially when comparing generic public models like ChatGPT or Gemini to dealership-trained intelligence. Dealers are demanding clarity on what’s actually driving their decisions. You have stopped asking if AI can help and started asking how AI can help.

Here are two ways to tell whether an AI tool will make a difference at your dealership:

1. Data Is the Fuel, Not the Feature.

For AI to be a true asset, it must be supported by a robust, verified and deep dataset. Many companies are capitalizing on the AI trend, but their tools are often little more than a promise if they aren’t backed by the right fuel.

Generic AI platforms may converse well. But most lack the automotive intelligence required for operational decisions. If you’re going to trust a system to guide your pricing, inventory or merchandising decisions, you need assurance that its recommendations aren’t just guesses based on historical trends.

You should be asking: What data is feeding this engine?

Your day-to-day outcomes — like how quickly you turn inventory, the accuracy of your pricing, and your ability to forecast market changes — depend on the answer. Customer service and chats are important, but without structured data that understands the VIN-level market dynamics, any AI is just a glorified resource. Effective AI must turn that reporting into definitive guidance.

A true AI advisor is built on proven intelligence and real-time data. Generic tools, no matter how advanced, cannot replicate industry-trained models without access to specialized data. If a vendor can’t clearly explain the depth and trust behind their data, you’re likely dealing with a poser.

2. It Features a Dealer-Facing Copilot.

Consumer-facing AI tools are everywhere. You need internal, dealer-facing tools that help you run your operation. Think of it as a decision copilot for your used car and sales managers.

Imagine walking into your morning meeting and, instead of sifting through seven different reports, you have a clear, actionable “to-do” list synthesized by an AI advisor. This is the difference between a passive tool and an operational partner.

An effective, proven, data-driven AI copilot speaks the same language you do. It eliminates guesswork and provides instant insights that pinpoint both problems and opportunities. It translates data directly into action.

AI solutions should enhance decision-making, allowing teams to focus on execution instead of analysis. For example, a true AI advisor, powered by deep data, can instantly answer queries like:

• “Which vehicles are most at risk of aging out?”
• “How does my vehicle pricing compare with local competitors?”
• “Rate my VDP and tell me exactly how to optimize it.”

In short, when you are evaluating AI solutions, demand clarity on (1) data depth, accuracy and longevity, how data drives prediction and action, and whether it is protected by industry-standard SOC 2-level security, and (2) how each tool supports internal operation and decisions, not just the customer’s shopping experience.

By demanding real answers and dealer-focused utility, you can ensure your next technology investment is a proven copilot, not just another promotional promise.

Lance Schafer is the general manager of product and technology for Lotlinx.