Chevrolet Tops ‘Consistency Study’

Chevrolet Tops ‘Consistency Study’

Chevrolet was found to have the most consistent dealership facilities in Pied Piper’s new 2025 Dealership Facility Consistency Study, which ranked auto brands by their average “Look-Alike Index” score. Following Chevrolet were Honda, Toyota, Ford, and MINI. At the bottom of the Look-Alike Index, the brands with the most variability between locations were Alfa Romeo, Fiat, Tesla, Lucid and Polestar.

Using AI computer vision paired with large language models, Pied Piper analyzed 540,000+ satellite and Street-View images covering 18,662 U.S. auto dealership facility locations. Urban Science provided a current national dealership census, listing all brands and addresses. For every facility, the AI model reviewed more than 70 visual attributes ranging from lot size and signage to landscaping and vehicle display. After weeks of continuous AI image processing, Pied Piper compiled the resulting data to determine each brand’s Look-Alike Index score, by ranking the average variability in features and quality within each brand’s dealer network. 

For 15 years, automotive OEMs have relied on Pied Piper to provide ongoing dealership facility evaluation/audit programs that are performed in-person by trained evaluators. This in-person approach is usually still the preferred process, but given Pied Piper’s other recent AI initiatives, the company decided to show how new cutting-edge enhancements like AI computer vision could be used in some cases to power facility evaluations.

“In-person facility evaluations remain the gold standard for understanding on-site conditions and brand compliance for exteriors and interiors,” said Lisa Berti, Pied Piper’s director of facility evaluations. “The strength of this AI-based approach is its ability to quickly analyze tens of thousands of locations, providing powerful insight at scale that complements traditional in-person evaluations.”

The resulting Look-Alike Index is a brand-level score that measures the variation in features and quality observed by the AI computer vision model across a brand’s dealer network. A high score indicates a brand’s dealerships nationwide have less variation from one location to the next, sharing similar architecture, signage, and site presentation. A low score signals greater variation across a brand’s dealer network.