Original Research — April 2026
Ontario Dealership AI Visibility Report
We ran 84 buyer-intent prompts across AI search platforms to measure how visible Ontario car dealerships really are. The results confirm what many dealers suspect but can't quantify.
Key Takeaways
- Average AI visibility score: 11 out of 100
- Dealerships only appear when shoppers already know their name — otherwise they vanish
- Highest category: competitor comparison at 36%; several categories scored 0%
- Data from 84 prompts across Brave Search, Tavily, and GLM-5.1 in April 2026
Key Finding
11/100
Average AI Visibility Score for Ontario dealerships tested
Based on 84 buyer-intent prompts × Brave Search + Tavily + GLM-5.1 = 252 data points per dealership audited
What Is the Industry Problem with Dealership AI Visibility?
How Did VizBiz Measure Dealership AI Visibility?
We designed 84 buyer-intent prompts across 11 categories — the same questions real car shoppers ask AI when looking for a dealership. Each prompt was run across three platforms:
- Brave Search API — web search results
- Tavily — AI-optimized search with answer summaries
- GLM-5.1 — large language model responses
11 prompt categories covering the full buyer journey:
Scoring: Cited (3 pts) = recommended by name. Mentioned (2 pts) = appears but not primary. Listed (1 pt) = in a list. Absent (0) = not visible. Maximum possible: 252 points per dealership.
Where Do Ontario Dealerships Show Up \u2014 and Where Don\u2019t They?
Only visible when explicitly named by the shopper
Appears when people ask if the dealer is legitimate
Some visibility for brand-specific service queries
Weak — AI rarely connects dealers to specific vehicles
Almost invisible when buyers search by vehicle type
Zero presence in conversational queries
Invisible to organic discovery searches
Not winning cross-brand buyer queries
No visibility for province-specific buying questions
Review signals not translating to AI visibility
No recognition of online retail capabilities
What Does This Mean for Ontario Dealers?
The average Ontario dealership is AI Invisible. They only appear in AI responses when a shopper already knows their name. They are completely missing from the highest-value moments: when a buyer asks AI for a recommendation and hasn't decided on a dealer yet.
The three strongest categories — competitor comparison, negative/objection, and service — all share one trait: the dealer's name is in the prompt. When the prompt doesn't name them, they vanish.
This is the core opportunity. The fix isn't more ads or more reviews alone. It's building the structured, citable, machine-readable presence that AI engines need to recommend your dealership by name — even when the buyer doesn't ask for you specifically.
Frequently Asked Questions
What is the average AI visibility score for Ontario car dealerships?
The average score across dealerships tested was 11 out of 100, based on VizBiz's 84-prompt battery run across Brave Search, Tavily, and GLM-5.1 in April 2026. This means the average Ontario dealership is effectively invisible in AI-generated answers when buyers don't already know their name.
How many Ontario dealerships were tested in the report?
The April 2026 report tested dealerships across Ontario using 84 buyer-intent prompts across 11 categories, run on three platforms (Brave Search API, Tavily, GLM-5.1). Each dealership generated 252 data points. The full list of dealerships tested is available in the complete audit.
Which AI platforms were used in the Ontario AI visibility study?
Three platforms: Brave Search API (web search results), Tavily (AI-optimized search with answer summaries), and GLM-5.1 (large language model responses). These represent the three main ways AI systems retrieve and synthesize dealership information.
Why do Ontario dealerships score so low on AI visibility?
The data shows that dealerships only appear in AI responses when a shopper already knows their name. When prompts don't name them specifically — which is the highest-value scenario for new customer acquisition — they vanish. The core issue is lack of structured, citable, machine-readable presence that AI engines need to recommend a dealership by name.
What categories had the highest and lowest AI visibility?
Highest: Competitor comparison (same brand) at 36% and negative/objection queries at 33%. Both involve the dealer's name in the prompt. Lowest: Ontario-specific queries, review/reputation signals, and digital experience all scored 0%. General discovery and cross-OEM competitor visibility scored just 3%.
How can an Ontario dealership improve its AI visibility score?
The highest-impact actions are: (1) fix entity data consistency across all platforms, (2) build detailed content that answers real buyer questions, (3) earn specific, substantive customer reviews, and (4) build authority through third-party mentions. VizBiz's AI Visibility Audit provides a prioritized action plan based on actual prompt data.
Find Out Your AI Visibility Score
Get a full 84-prompt audit for your dealership. See where you appear, where competitors appear instead, and what to fix first.
Get Your AI Visibility AuditSources & Citations
- Arcalea AEO Industry Index, March 2026 — arcalea.com
- Ekho 2026 AI Vehicle Research Study — ekho.com
- DealershipGuy: 84% of dealership websites invisible to AI search, Jan 2026
- Metricus: Automotive AI Visibility Data, April 2026
- VizBiz Primary Research: 84-prompt battery across Brave, Tavily, GLM-5.1, April 2026