What ChatGPT, Perplexity and Google's AI read before they name a dealership, and what a store can do about it.
They answer from pages they can read
When a shopper asks an AI assistant where to buy a used SUV in their town, the assistant usually searches the web, reads a handful of pages, and writes an answer from them. The dealers it names are usually ones that appear on the pages it read, though it can also draw on what it learned in training.
That makes the question practical: which pages does it find for that question, and does your store appear on any of them in a way the assistant can read?
What those pages tend to have in common
An assistant can only use what it can read and trust. Pages that serve it well tend to share a few traits:
- They answer the exact question asked, near the top, in plain sentences.
- The facts that matter (prices, models, locations, dates) are in the page's HTML, not loaded later by JavaScript.
- They're specific: named vehicles, real numbers, a visible date.
- For many questions, marketplaces and review sites already have pages like this, which is why some questions are hard for any single dealer to win.
What a dealership can control
You can't choose what an assistant writes. You can make sure that when it looks, your inventory is readable, your store's details are marked up, and there's a page on your host that answers the question being asked.
Virtual Lot does that from your inventory feed: a readable page for every car, lists built from live stock, and answer pages you review before they publish. Then it asks the same questions every week and shows you, answer by answer, whether your store was named.