
Explore the 2017 GMC Acadia Limited: A Reliable Choice
The 2017 GMC Acadia Limited is a robust choice for families and individuals seeking a spacious and dependable vehicle. With a mileage of 186,801, this model showcases its durability and longevity, making it an excellent option for anyone in the market for a used car.
Key Features of the Acadia Limited
This midsize SUV comes painted in a striking Crimson Red Tintcoat, accented by a Dark Cashmere interior. Its powerful 3.6L V6 SIDI engine, paired with a 6-speed automatic transmission, ensures a lively and smooth driving experience. These attributes are particularly appealing for those who value performance without sacrificing comfort.
The Value of Maintenance and Warranty
What sets the GMC Acadia Limited apart in the crowded automotive classifieds market is not just its specifications but also the added peace of mind it provides. It comes with two free oil changes and lifetime brake pads from Haus Auto Group, ensuring you can enjoy your ride without frequent maintenance worries. Additionally, a 90-day/3,000-mile warranty backs it, highlighting the group’s commitment to service quality.
Why Choose Haus Auto Group?
Choosing to buy from Haus Auto Group means investing in a dealership recognized for excellent service and customer satisfaction. Awarded the 2018 Ohio Quality Dealer of the Year, Haus Auto Group prides itself on a 100-point inspection for their vehicles, offering confidence to buyers in every transaction.
Buying and Selling Used Cars: A Smart Decision
In today's automotive market, buying used cars like the 2017 GMC Acadia Limited can provide significant savings without sacrificing quality. For auto dealers and individuals alike, selling used vehicles offers a viable avenue for revenue generation in a dynamic market.
In conclusion, the 2017 GMC Acadia Limited, with its impressive features and backing from Haus Auto Group, stands out as a reliable option for those looking to purchase a pre-owned vehicle. If you’re considering buying or selling a used car, this model may be what you need.
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