For years, dealerships have centered reputation management around building a positive image. Dealers worked to collect five-star reviews, respond to customer feedback and strengthen their online presence, giving shoppers another reason to consider their stores. But as artificial intelligence (AI) changes how consumers research businesses and decide where to spend their money, those reviews are taking on a much larger role. They are no longer simply a scorecard for how a dealership looks online; instead, they can become a source of operational intelligence.
That shift was the focus of today’s Inside Automotive episode with Cuyler Owens, CEO of Widewail, who described the evolution from traditional reputation management to what the company calls “customer intelligence.” The idea, Owens said, is to take the enormous amount of information customers are already providing through reviews and turn it into something dealership leaders can use to run the business.
According to Owens, Widewail’s database includes more than 20 million reviews from franchise dealerships across the U.S. Its technology uses AI to identify 25 key themes within those reviews, helping dealers understand what customers like, what frustrates them, where employees are performing well and where the dealership can improve. Owens described the data as “the world’s largest focus group” because customers are voluntarily explaining what happened during their sales and service experiences.
However, Owens notes that traditional reputation management focuses on the number of reviews and the star rating. Customer intelligence looks deeper at what those reviews are actually saying and what the dealership can learn from them.
For example, across Widewail’s data, communication is the most common negative complaint in customer reviews. Across more than 350 franchise dealerships over six months, Widewail compared what customers wrote about staff against the service revenue behind those visits. Dealerships whose reviews mentioned clear communication noticeably more often than the typical store took in about $178 more per repair order. Owens described the relationship as a correlation rather than proof of cause. When the company compared repair orders associated with positive communication against those without it, customers reporting positive communication were associated with repair orders valued $178 higher. That turns what might otherwise look like a soft customer-experience issue into something dealers can connect to the business.
The opportunity, Owens said, is not necessarily about chasing down every unhappy customer. It’s about identifying small changes that can have a meaningful impact when repeated across thousands of customer interactions. A dealership may find that customers consistently mention long wait times, poor communication or a lack of follow-up. It may also identify employees who consistently receive praise for clearly explaining repairs or making customers feel comfortable.
Updated search engines
That information is becoming even more important as AI changes how consumers shop. Owens said shoppers can now ask tools such as ChatGPT, Claude, Google AI Mode, or Gemini highly specific questions about where to buy or service a vehicle. Instead of simply asking which dealership has the highest rating, they can ask about wait times, communication, professionalism and other details of the customer experience.
Those details are increasingly visible in reviews, Owens said, as reviews are a key source of content for AI-powered answer engines, meaning customer experiences can influence how those systems understand and recommend dealerships. A five-star rating still matters, but the information inside the review may matter just as much.
Owens offered a personal example, stating that during a recent vehicle-shopping experience, his wife described what she liked and disliked about different dealership experiences. Owens entered that feedback into ChatGPT along with the vehicles they were considering and asked where they should shop. The system used those preferences to identify dealerships that better matched the experience they wanted.
That shift gives dealers another reason to pay attention to what customers say after a transaction. The experience described in a review can influence another customer’s decision before that shopper ever submits a lead or visits the store.
Customer intelligence
Customer intelligence can also change how dealership leaders coach employees. In Widewail’s new product, Customer Clarity, by connecting customer reviews with DMS data, Widewail can associate feedback with the employees involved in a repair order or transaction. That gives managers evidence, something they have traditionally struggled to provide when delivering critical feedback.
Instead of telling an employee that customers seem unhappy with their communication, a manager can show the employee the actual comments customers have made. Owens said one general manager involved in the company’s beta program told him that his coaching conversations had changed because he no longer had to rely on his own interpretation. He could show employees the reviews, the specific comments and the patterns that needed attention.
That can make difficult conversations more productive because the feedback is coming directly from customers rather than solely from the manager. The same information can also help identify employees who deserve recognition. Because dealers can link reviews to individual repair orders and technicians, they can see who consistently generates positive customer feedback and use that information to provide recognition or incentives.
“Reviews are the number one source of content for answer engine searches.”
Additionally, Owens claims that the data can also help leaders determine whether a problem is isolated to their dealership or part of a broader trend. Dealers can compare their performance with competitors, regional peers and other stores within the same OEM network. Owens said Widewail has identified situations in which an OEM pricing strategy appeared to create customer-experience challenges across multiple dealerships.
That context can help dealers determine whether they need to fix something internally or address a broader issue. It can also show them which stores are outperforming their peers and what customers are saying about those experiences.
Automotive compliance
According to Owens, another area of application is compliance. Customer feedback can provide early warning signs when consumers begin describing experiences that could eventually lead to regulatory complaints. If multiple customers raise similar concerns about pricing, fees or other dealership practices, leaders can identify those patterns and address them before they become larger problems.
Nevertheless, Owens believes customer intelligence should not replace CSI. Rather, he said CSI remains important for OEM standards, incentives and brand requirements, while reviews provide a larger pool of unsolicited customer commentary. Customers are describing their experiences in their own words rather than responding to a predetermined set of questions.
Ultimately, Owens envisions customer sentiment becoming a regular part of dealership management. Financial results and operational metrics will continue to drive Monday morning meetings, but customer feedback can provide another important measure of the business’s performance.
That could mean using reviews to guide employee training, recognize strong performers, evaluate processes, identify compliance concerns or compare the dealership with its peers.
For Owens, that is the evolution of reputation management. The question is no longer simply whether customers are giving a dealership five stars, but what those customers are telling the dealership about how to become better.
