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Vehicle Schema Markup for Dealers: What AI Engines Actually Read

A practical reference for the schema.org Vehicle and Offer structured data that lets AI read a car accurately: the fields that matter, mistakes, and an example.

By Jason Mayhew · Updated October 2026 · 8 min read

Vehicle schema gives your inventory an explicit set of facts: which car, what price, how many kilometres, whether it is available and who sells it. Put those facts in the page shoppers can read, then describe the same facts in JSON-LD. That gives search engines and other tools a consistent record to work with.

For a dealership, the useful test is simple: does the vehicle on the screen agree with the vehicle in the code? Here is the specification to send your website provider, plus an example you can inspect.

Match the markup to the questions a shopper asks

Schema.org Vehicle describes the car. An Offer describes its sale, and AutoDealer identifies the seller. JSON-LD is a way to express those relationships in a data block inside the page.

One listing, described for shoppers and machines
Buyer questionVisible pageStructured data
Which exact car?Year, make, model, trim and VINname, brand, model, modelDate, vehicleConfiguration, vehicleIdentificationNumber
Does it meet the mileage limit?74,200 kmmileageFromOdometer: value 74200, unitCode KMT
What does it cost?$17,900 CAD, with applicable fee and tax terms beside the priceoffers.price: 17900; offers.priceCurrency: CAD
Is it still for sale?In stock, pending or soldoffers.availability using the matching schema.org value
Who is selling it?Dealership name, location and contact detailsoffers.seller linked to an AutoDealer entity
Where can I inspect it?A stable page for this vehicle and real photographsurl, offers.url and image

A VIN decode identifies a vehicle; it does not prove that your dealership owns it, that the odometer is current or that it is still for sale. Price, mileage and availability need to come from the dealer’s current inventory record. Leave out specifications you cannot confirm.

A vehicle-page example your provider can check

This is an illustrative listing, not a live offer. The visible page would read: “2019 Subaru Forester 2.5i. VIN JF2SKAEC0KH512345. 74,200 km. Automatic, all-wheel drive. $17,900 CAD. In stock at Example Motors in Hamilton, Ontario.” The actual price terms and contact information belong beside those facts on a real page.

{
  "@context": "https://schema.org",
  "@type": "Vehicle",
  "name": "2019 Subaru Forester 2.5i",
  "vehicleIdentificationNumber": "JF2SKAEC0KH512345",
  "brand": { "@type": "Brand", "name": "Subaru" },
  "model": "Forester",
  "modelDate": "2019",
  "vehicleConfiguration": "2.5i",
  "bodyType": "SUV",
  "mileageFromOdometer": {
    "@type": "QuantitativeValue",
    "value": 74200,
    "unitCode": "KMT"
  },
  "driveWheelConfiguration": "https://schema.org/AllWheelDriveConfiguration",
  "vehicleTransmission": "Automatic",
  "fuelType": "Gasoline",
  "itemCondition": "https://schema.org/UsedCondition",
  "image": ["https://yourdealer.example/photos/forester-1.jpg"],
  "url": "https://yourdealer.example/inventory/JF2SKAEC0KH512345",
  "offers": {
    "@type": "Offer",
    "price": 17900,
    "priceCurrency": "CAD",
    "availability": "https://schema.org/InStock",
    "url": "https://yourdealer.example/inventory/JF2SKAEC0KH512345",
    "seller": {
      "@type": "AutoDealer",
      "name": "Example Motors",
      "url": "https://yourdealer.example",
      "address": {
        "@type": "PostalAddress",
        "addressLocality": "Hamilton",
        "addressRegion": "ON",
        "addressCountry": "CA"
      }
    }
  }
}

The example uses KMT for kilometres. Use SMI for statute miles, and put a number in the value field. A phrase such as “low mileage” cannot replace an odometer reading. Keep the page URL, offer URL and canonical URL aligned to the intended vehicle page.

What changed with Google Vehicle Listing rich results?

Google retired its dedicated Vehicle Listing structured-data search feature in 2025 and removed the related Rich Results Test and Search Console reporting. The old screenshots and setup articles still circulate. They are not a current promise of a special vehicle result. Read Google’s retirement announcement.

Vehicle and Offer remain schema.org vocabulary. Use them to describe your inventory consistently. Google’s current AI-search guidance does not require special AI markup. A valid data block is one part of a useful, accessible listing; it does not by itself establish indexing or a citation.

Use the right check for each job

Validation, indexing and citation are separate checks
CheckUse it to establishNext step
Schema.org ValidatorThe types and properties detected in the page or codeResolve syntax and vocabulary issues, then compare values with the visible listing.
Google Rich Results TestEligibility for Google’s currently supported structured-data featuresA missing Vehicle Listing result is expected after retirement; inspect the relevant supported types.
Search Console URL InspectionGoogle’s crawl, index and canonical information for the URLCheck the actual page and whether its important content is accessible.
Saved AI answerWhether that observation cited the exact vehicle URLOpen the cited source and check VIN, price and availability.

Start with the Schema.org Validator. Ask your provider to show both the page’s initial HTML and the rendered page. Google can process JavaScript, while other fetchers have different capabilities; supplying the important facts in the initial response makes them available without waiting for a browser to build them. See the inventory readability checklist.

Keep the data correct when the inventory changes

  • Price change: update the visible price and Offer from the same inventory record.
  • Vehicle sold: stop describing it as in stock. Show the status on the page and update availability in the markup.
  • Dealer identity: use the same seller name, address and website across listings.
  • Freshness: report when the underlying information changed, rather than printing a new date on unchanged data.

VIN Index builds the listing and its Vehicle, Offer and dealer information from your authorized feed, with the core content in server-rendered HTML. See the VIN-level discovery checklist for the full path from feed to public page to citation, or check what your current website publishes.

Continue the guide

AI Visibility for Car Dealers: The Complete GuideStart here: the complete overview of AI visibility for dealers.Measure AI visibility and trafficTrack dealership mentions, exact citations, AI referral visits and inquiries with a repeatable question panel and practical GA4 reporting checklist.VIN-level inventory indexingTrace a vehicle from feed to public page, search index and AI citation. A practical checklist for canonical URLs, availability, sitemaps and indexing errors.Can AI see your inventory?Most AI crawlers cannot run JavaScript, so browser-loaded inventory is invisible to them. What AI assistants actually read, and how to test it in minutes.GEO vs SEO for dealersCompare automotive AEO, GEO and SEO, choose the right page for each shopper question, and measure search visibility, citations and inquiries separately.How shoppers use AI in 2026The data on how buyers now research and shortlist vehicles with AI assistants, and what it means for where your inventory needs to appear.Which AI crawlers to allowGPTBot, ClaudeBot, Googlebot, PerplexityBot and more: what each AI crawler does, and how to set robots.txt so you stay citable instead of invisible.Get cited by ChatGPTHelp ChatGPT find accurate dealership and vehicle facts, then test recommendations with a repeatable checklist that separates mentions, citations and leads.Merchandise inventory for AIWhen a shopper asks ChatGPT to find a $26,000 car nearby, the assistant does not browse 40 pages. It reads structured facts, cross-checks the VIN, and names three stores. Here is how that shortlist gets made.llms.txt for dealersAn honest look at the llms.txt file: what it is, what it does and does not do for AI visibility, and where it sits on a dealer’s real priority list.Entity SEO for dealershipsAI engines cite businesses they recognize as consistent entities. How name/address/phone consistency, structured data, and references build that recognition.

See how AI reads your inventory today.

Run the free AI Readiness Analyzer to check accessible dealership facts and vehicle information. Explore saved market answers to see which sources assistants use. No card.