Inventory and service content built for how AI engines read
The pipeline that structures every VDP, SRP, spec guide, and service page for machine reading: Vehicle and AutoDealer schema, llms.txt, and answer-shaped copy engineered so ChatGPT, Perplexity, and Google AI Mode can parse, quote, and cite your store.
Structured for machines, written for buyers on a lot
Vehicle and dealer schema
Vehicle, Offer, AutoDealer, and FAQ schema on every page so engines can resolve which unit, which dealership location, and which price they are looking at.
llms.txt
A machine-readable map of your site that tells AI crawlers where the inventory, service, and spec pages live and which ones matter.
Answer shaping
Spec guides and service pages structured into clear, quotable answers, the format engines lift directly when a buyer asks about a GVWR or a symptom.
Entity coverage
Dealership locations, brands you carry, body types, and service lines named and linked so your dealership becomes a known entity, not a guess.
Parse checks
Every page validated against how real crawlers read it, including the JavaScript-rendered SRP and VDP templates most dealer platforms ship.
Repeatable pipeline
One process applied to every piece across every dealership location, so citation-readiness is the default, not an afterthought.
Five layers, one repeatable process
Every page runs through the same pipeline, whether it is a Class 8 tractor VDP or a brake service page, so citation-readiness is the default output.
What a machine sees on your VDP, validated
Before anything publishes, we validate the page against the signals AI crawlers use to parse, quote, and attribute it.
The GVWR, wheelbase, and CA are buried in a spec table image engines cannot read.
Make every VDP and service page easy for AI to cite
We audit how engines currently read your platform, then rebuild the content pipeline around it.