Introducing Dealer AI Visibility Reports

Ask a dealer what they want to know about AI, and you will hear some version of the same question: when shoppers ask AI where to buy a car, does my store come up? We have been working on a way to answer that, and I am excited to share it.

Dealer AI Visibility Reports are public reports that show which dealerships AI assistants actually recommend, brand by brand and metro by metro. The first set covers Toyota dealers across the 25 largest US metro areas, and they are live now.

The short version of why it matters: when a shopper asks an AI assistant where to buy or service a car, the answer is not a page of links. It is a short list of named dealerships. In our Miami measurement, AI answered with actual dealership names 99.6% of the time and named only 3 to 6 dealers per answer. Until now there was no standard way to know whether your store is on that list.

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What we launched

We publish two kinds of reports for each brand, built from the same measurement:

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Built on the framework we measure every dealer with

In AI Optimization for Dealers: What Matters we laid out our full framework for dealer AI visibility: what we measure, and what moves it. These national and regional reports are built on that same foundation, the one we use every day to create custom visibility reports for individual dealerships. Now the market-level picture is public.

The methodology, in brief:

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What the first reports found

Publishing the market picture only matters if it tells dealers something they did not know. The Toyota reports do. See for yourself: the Toyota National Report covers all 25 metros, and the Miami Regional Report shows what the metro-level picture looks like.

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What your store can learn

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When you want the full picture for your store

The public reports measure visibility: who AI names, how often, and where the answers come from. What AI says about your store, the sentiment side of our framework, is where the Custom Dealer Report picks up. My favorite conversations start after a dealer has read their Regional Report, because the next question is always about their own store.

Every month, a Custom Dealer Report runs the questions your buyers ask across the major AI engines and reports how often AI names you versus each competitor, scores your Find, Buy, and Service visibility, measures your sentiment, verifies your marketplace presence, and ranks what to fix by effort and impact. If your store is not where you expected it to be in your Regional Report, the custom report shows why.

If you sell or service cars, go find your metro. See who AI names, see where you stand, and if you want the store-level picture, we would love to show you what a custom report looks like for your dealership.

We're continuing to roll out new brands each month and if you'd like your brand prioritized, contact us below.

Frequently asked questions

How is AI visibility measured?

We ask ChatGPT, Google AI Mode, and Google AI Overview the same non-branded questions real shoppers ask about finding, buying, and servicing a car, city by city in each metro, weighted by each city's real search demand. We then record which dealerships the answers name and in what order. No question ever names a dealer, and every dealer in the market is measured the same way, so rankings are directly comparable.

Which brands and markets are covered?

The launch reports cover Toyota dealers across the 25 largest US metro areas, with a National Report and a Regional Report for each metro. Additional brands are in progress and will follow the same structure.

How current is the data?

Every report is labeled with its measurement period. The current reports reflect July 2026 measurements, and each brand's reports are refreshed on a rolling cycle, roughly every six months.

What drives a store's ranking?

AI assistants lean on public signals: reviews and reputation across sites like Google, Yelp, and DealerRater, discussion in local communities like Reddit, the content on the dealer's own website, and whether AI can read the store's inventory. Our post on what matters in AI optimization covers the full framework, and a custom report breaks down which of these are helping or hurting a specific store.