How dealerships get found, cited, and recommended by AI.
Methods you can reproduce, data from thousands of real dealer websites, and the fixes that move the number. Written by operators, not a content farm.
How PromptGraph measures AI visibility for dealerships
Every number we publish comes from a method you can reproduce. Here is the whole thing, including what we do not measure.
MCP for car dealers: what it is and why yours should be live already
Model Context Protocol is how AI agents will check your inventory, hours, and service availability without scraping your site. PromptGraph runs it per rooftop today.
About PromptGraph
Built by a dealer-side operator and a CTO who got tired of screenshots masquerading as measurement.
LLM visibility for car dealers: the complete guide
What it means to be visible in ChatGPT, Gemini, Google AI Mode, and Grok, how it is measured, and the five things that decide whether your store gets named.
AEO for car dealers: answer engine optimization that a GM can verify
How to get a dealership into the three or four names an AI assistant gives back, without buying a mystery score.
GEO for car dealerships: generative engine optimization without the fluff
What generative engines actually read from a dealer website, and the four pages worth rewriting first.
How to get your dealership recommended by ChatGPT
A step-by-step for a GM or marketing director, with what each step is worth and how to check it yourself.
ChatGPT vs Google AI Mode vs AI Overview vs Gemini vs Grok: which engines matter for car dealers
Five AI surfaces answer "which dealer should I go to." They read different sources and name different stores. Here is what each one does with a dealership.
DealerRater, Carfax, Cars.com, Yelp: the sources AI actually cites when it recommends a dealer
AI engines learn about your store from third-party sites more than from your own. Here is who they cite and how to fix what those sources say.
Service is the AI visibility gap nobody fixes
Sales prompts get the attention. Service prompts are where most dealers are invisible, and it is the cheapest place to win.
llms.txt and JSON-LD for dealers, with templates
The two files that tell AI what your store is. Copy the templates, change the facts, ship them today.
Which dealer website platform is most AI-ready? We scanned 4,287 franchise sites.
Dealer.com, DealerOn, Dealer Inspire, Team Velocity, and the rest, scored on the same checks. The platform decides most of a store's score before the store touches anything.
Why a 100 is not AI ready: relative vs absolute scoring
Some AI visibility reports set the market leader to 100 by definition. That tells a dealer he is winning when he may be invisible. Here is the difference and why it matters.
How many prompts make a real AI visibility score?
AI answers change run to run. Without repetitions and a reported spread, a two-point gap between dealers is noise presented as insight.
PromptGraph vs CarGenius: how the two dealer AI visibility approaches differ
Both publish AI visibility data on named dealerships. The methods, the scoring, and what you get afterward are different. Here is a fair side by side.
The best AI visibility tools for car dealers in 2026, including ours
A dealer-specific list, organized by what each tool actually does: measure, deploy, or both. We are on it, and we say where we are not the best fit.