We Scored 50 Ontario Dealerships on AI Visibility — The Results Were Brutal

84 prompts. 3 AI engines. 50 dealerships. The average AI Visibility Index score: 11 out of 100. Here's what that means and what to do about it.

Key Takeaways

  • The average Ontario dealership scored 11/100 on AI visibility — meaning they're nearly invisible in AI-generated answers.
  • The top 3 scorers all shared specific traits: structured data, 150+ reviews on 4+ platforms, and detailed website content.
  • Discovery and trust signals were the weakest categories — most dealerships aren't cited when buyers ask AI for recommendations.
  • The gap between the top scorers and everyone else is enormous — and it's growing.

How We Scored Them

We selected 50 Ontario dealerships across the GTA, Ottawa, Hamilton, London, and Kitchener-Waterloo — a mix of new-car franchises and independent used-car dealers.

For each dealership, we ran 84 buyer-intent prompts across three AI engines: ChatGPT, Google Gemini, and Perplexity. Prompts covered the full buyer journey — from "best car dealership near me" to "where can I get my Honda financed with bad credit in Mississauga."

Each response was scored using the AVI (AI Visibility Index) formula, which measures five pillars:

  • Discovery — Is the dealership named in response to discovery queries?
  • Trust — Do AI answers portray the dealership positively (reviews, ratings, reputation)?
  • Service — Are specific services (oil change, financing, trade-in) attributed accurately?
  • Inventory — Does the AI know what makes/models the dealership carries?
  • Finance — Is the dealership cited for financing and lease-related queries?
11 / 100
Average AI Visibility Index score across 50 Ontario dealerships. That means the typical dealership is cited in roughly 1 out of every 9 relevant AI-generated answers.

Breakdown by Category

Discovery

8/100

When buyers ask "best dealership near me" or "where should I buy a used car in [city]", only 4% of dealerships were consistently named. Most AI answers defaulted to the same 2–3 dealerships per city.

Trust

14/100

AI answers rarely included review summaries or star ratings. Most dealerships don't have enough review volume or platform diversity for AI models to surface reputation data confidently.

Service

18/100

Slightly better. Some dealerships were cited for specific services, but only when their website had detailed service pages. The majority had thin or generic service descriptions.

Inventory

12/100

AI engines struggled to match dealerships to specific makes and models. Most dealership websites feed inventory through iframes or third-party tools that AI crawlers can't parse.

Finance

5/100

The weakest category. Almost no dealerships were recommended for financing queries, even though "bad credit car loan" and "lease deals" are among the highest-intent keywords in automotive.

The Top 3 Scorers and What They Did Differently

#1
Score: 47/100
  • 200+ Google reviews, 4.7★ average
  • Active on Cars.com, DealerRater, Yelp, and Facebook
  • Detailed make/model pages with 500+ words each
  • Complete LocalBusiness + AutomotiveDealer schema
  • Monthly blog publishing for 12+ months
#2
Score: 41/100
  • 180+ reviews across 5 platforms
  • Comprehensive FAQ page (25+ questions)
  • Dedicated financing page with specific programs listed
  • Consistent NAP across 12+ citation sources
  • Active GBP with weekly posts and photo updates
#3
Score: 36/100
  • 150+ Google reviews, strong DealerRater presence
  • Service pages with pricing and process descriptions
  • Structured data on every page (not just homepage)
  • Local community sponsorships generating online citations
  • Video content on YouTube that AI models reference

Notice: even the top scorer only reached 47/100. Nobody has this fully figured out yet — which is exactly why acting now creates such a strong advantage.

What Every Ontario Dealership Should Fix First

1

Run an AI visibility audit

You need a baseline. Find out exactly which AI engines cite you and which don't. Identify your weakest categories.

2

Add structured data to your website

LocalBusiness + AutomotiveDealer schema. This is the single highest-impact fix for the lowest effort. Takes a developer 2–4 hours.

3

Complete your Google Business Profile

Every field. Detailed description. All categories. Monthly posts. This is the #1 data source for AI recommendations.

4

Start a review acceleration campaign

Target 100+ Google reviews. Then expand to Cars.com and DealerRater. Systematic follow-ups after every sale and service visit.

5

Build a financing page

The weakest category across all 50 dealerships. A single detailed page covering your financing options, partners, and programs can move your Finance score from 5 to 30+ in weeks.

Get Your Dealership Scored — Free

We'll run the same 84-prompt audit for your dealership and show you exactly where you stand — and what to fix first.

Get Your Free AI Visibility Score →