Full-Service vehicle description writing across automotive, powersports, marine, RV, and equipment inventory
This one is not illustrative. It was actually run on 2026-09-08, and you can reproduce it in about thirty seconds.
Asked on ChatGPT Search who to hire to write used-inventory vehicle descriptions instead of the website provider's generic auto-generated copy, the answer never named Dealer Assist Now and cited no sources (0 citations). It pointed toward generic categories instead — "Professional Automotive Copywriters," "Freelance Content Writers" on platforms like Upwork, Freelancer, and Fiverr, "Marketing Agencies Specializing in Automotive," "Local Writers with Automotive Knowledge," and "Dealership Marketing Consultants" — then offered to help find specific professionals or agencies.
Paste that same prompt in yourself and you will get your own version of this. That is the point — it is checkable, which is why it is the only thing on this page stated as fact about your business.
The format is the deliverable here, not the figures. These are made up.
The narrative section a client actually reads. Generated from the same numbers above.
The August auction buy landed 412 units in nine days, and those are the ones that arrive with a window sticker, a build sheet and nothing else. We queued them ahead of the retail intake rather than working the feed in the order it came in. That is the whole reason coverage jumped 17 points in a month where volume also rose.
The trade-off was visible on the used side: 249 live units are still sitting on the AI-generated copy that shipped with the feed. That number went up, not down, and it is the first thing September fixes.
Average keyword score across the 1,140 descriptions we wrote in August was 84%. Across the 249 units still running feed-default copy, it was 11%. That is not a small spread and it is not evenly distributed — it maps almost one-to-one onto which units got a writer.
Where it showed up: the option content. A writer reading the actual repair order and OEM option data on a 2023 Denali picks up the adaptive cruise, the trailering package and the bed liner. The feed copy for the same unit said "well equipped." Two shoppers searching for a trailering package find one of those listings and not the other.
Average time from unit hitting the feed to a finished description was 19 hours in August, down from 24 in July. Nothing clever behind it: the photo-review step now runs before the writer is assigned instead of after, so a writer never opens a unit that is missing images.
The eleven free audits requested in August all came back inside the 48-hour commitment, with a median of 31 hours. Worth stating plainly because it is the promise most often measured against.
Those units are the entire gap between 78% coverage and full coverage, and they are the ones scoring 11%. At August's rate they take about eleven working days, which fits before the October intake wave. We work them oldest-first, on the assumption that a unit that has been sitting for 60 days on feed-default copy is the one losing the most gross.
What we need from you: confirm whether the six specialty units go in that queue or get held for the exotic treatment, which is a slower write.
Starting with the September report, this page carries the same AI-assistant check shown at the top — run monthly, same prompt, results tracked over time rather than as a one-off reading. It is the only number here that gets measured rather than estimated, so it is worth building a history for.