A consumer searches your online listings – using AI. Her search query: “Tell me all you know about the 2022 Kia Sportage LX listed on Anderson Motors website, and is this car a fair deal?
The AI results will certainly be impressive, and often wrong. Having to guess which parts of reported data are true – and which are AI hallucinations, instances where an AI system produces outputs that sound plausible but are factually wrong, IBM notes.
Thus, your competitive advantage isn’t AI itself, but how structured, credible, and trustworthy your vehicle descriptive data is for AI engines. Without vehicle descriptions featuring structured digital vehicle portfolios (DVPs), AI pieces together, infers, or guesses from scattered web and other information.
Which “source of truth” do you want to provide your shoppers – uncontextualized accident reports and piecemealed description data, or DVP-elaborated, comprehensive, and vivid vehicle details that tell a purposeful and engaging vehicle story that meets shoppers’ left-brain analytical and right-brain visual-emotional needs?
How Contextualized DVPs Better Engage Shoppers
According to J.D. Power’s 2026 U.S. Manufacturer Website Evaluation Study, among shoppers already decided on a vehicle, more than 80% also visit the manufacturer’s website to support their research. Among those still undecided, the figure rose to 94%. For used-vehicle shoppers, the need to verify and trust is multiplied.
“If the [details] page fails to help buyers evaluate suitability, it asks for commitment before confidence has been established. That is when browsers leave rather than inquire,” notes industry data analysis company JATO Dynamics.
Every vehicle on your used lot linked to a DVP is merchandised more competitively to draw eyeballs.
The muscle fibers here include: the original OEM window sticker, detailed information about reconditioning investments, safety reports, walkaround photos and videos, and OEM brochures.
For shoppers, it’s like handing them an all-inclusive evidence manual that makes their online car-buying experience transparent, informed, and structured.
AI responding to a query regarding the vehicle delivers key facts from the vehicle’s DVP – plus answers more nuanced questions shoppers would like to ask:
- What specific repairs or maintenance have been done? Were any major parts replaced?
- What do the safety reports cover? Are there any outstanding recalls or issues?
- Is there a detailed history report included? How many previous owners – and service histories and accident reports, if any?
- Does the evidence include an original OEM window sticker of the car’s original features, options, and MSRP?
- Does the dealer provide reconditioning investment, providing detailed accounts of the improvements and maintenance the car has undergone, giving shoppers a clearer picture of the vehicle’s current condition and the attention it has received?
VDP content helps answer consumers’ real question, “Is this the right car for me?” JATO suggests in its late-July web article, The digital car buyer has changed. Has vehicle listing kept up?
“The digital car buyer has changed. Has vehicle listing kept up? That shift changes the role of the vehicle detail page: it must move beyond presenting information and help customers make sense of it,” the article noted.
Stop Competing for the Wrong Advantage
Good data leads to better decisions, faster. Bad data at machine speed helps one make bad decisions faster.
As dealerships race to understand and use AI wisely in their operations, remember that this technology is just a tool. The competitive advantage is the intelligence underneath it. For instance:
- Go beyond VIN information. Two vehicles that look identical on paper (same year/make/model/trim) can differ in factory packages, technologies, and options that meaningfully affect value. VIN information not only identifies the car but, when expanded for shoppers, gives them a thorough, specific, and comprehensive understanding of the vehicle’s full value as described by the online VDP. This detail needs to be front and center in your merchandising.
- OEM data maps to the bigger story. Shoppers rarely buy facts and figures alone.We know well the role personal emotion plays in car buying. Every car needs a story, assembled from facts and figures but infused with “heart” details only a human can write. Help the shopper see themselves pulling a camper by this truck; let another buyer smell the freshly clipped grass as they cruise with the top down. Let mom or dad imagine how easy it is to retrieve groceries from the hatchback of your late-model crossover.
- Data discipline is the next foundation. The data discipline known as “data in/data out, remains the standard of information integrity. Good, complete, and honest data is truthful and useful. It’s the data you want used-car merchandising resources built on.
Industry data shows that when structured, detailed, and third-party-credible DVPs are sent via email or text to active shoppers, nearly 70% open the message and 55% respond. Dealer case studies attribute success to implementing VIN-specific DVPs.
Specifically, the studies show measurable growth in front-end yield, contributing to an average gross profit increase of up to $589 per vehicle sold.
In today’s AI-configured era, don’t you want your vehicle merchandising to be of the quality these tools will find most satisfying, for their search structures and your goals?
About Rapid Recon
Reconditioning workflow automation from Rapid Recon is the industry standard in time-to-line inventory turn and speed-to-sale vehicle revenue enhancement for automotive retailers. Benchmarking data based on 13 million vehicles processed uniquely positions Rapid Recon to advise dealers on how to improve their store’s profitability. Used by more than 2,000 dealerships, Rapid Recon ensures the accountability of processes, property, and people. Hence, dealers know answers quickly, find assets anywhere, and sell vehicles promptly to grow dealership profitability. www.rapidrecon.com CALL US: +650‑999‑0497