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THE AI VISIBILITY INDEX

Nissan Detroit Metro AI Visibility Index

Comparing 16 Nissan dealerships on how well AI models can discover and recommend them

Last updated: 2026-03-03

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Highest Score
63
Median Score
50
Average Score
50
Lowest Score
21

How to Read This Index

Green (75-100)

Strong AI visibility — AI models can easily discover and accurately represent this dealer

Yellow (50-74)

Moderate visibility — some information is accessible but key details may be missed

Orange (25-49)

Weak visibility — AI can find this dealer but struggles to accurately represent them

Red (0-24)

Limited visibility — significant gaps make it hard for AI to recommend this dealer

Rank Dealer Name Overall Discoverability Content Quality Technical Health Information Currency Agent Ready
#1 Nissan of Macomb 63 73 85 90 65 0
#2 Nissan of Dearborn 63 73 85 90 65 0
#3 Gerweck Nissan 63 73 85 90 65 0
#4 Nissan of Canton 63 73 85 90 65 0
#5 Tamaroff Nissan 58 75 100 90 0 0
#6 Jeffrey Nissan 55 75 100 75 0 0
#7 LaFontaine Nissan Troy 54 75 85 90 0 0
#8 Tony Serra Highland Nissan 50 80 27 90 65 0
#9 Chatham Nissan 50 75 70 90 0 0
#10 Nissan of Windsor 49 75 65 90 0 0
#11 Grand Blanc Nissan 48 80 20 90 65 0
#12 Fox Ann Arbor Nissan 48 80 20 90 65 0
#13 Suburban Nissan of Farmington Hills 48 80 20 90 65 0
#14 Tony Serra Highland Nissan 45 68 55 90 0 0
#15 Tony's Auto Mart 32 60 10 90 0 0
#16 Victory Motors Chesterfield 21 57 0 50 0 0

Methodology

AI visibility scores measure how well a dealership website can be discovered and understood by AI models like ChatGPT, Claude, and Perplexity. We analyze four key dimensions:

  • Discoverability: Can AI systems find your website?
  • Content Quality: Does AI understand what your dealership offers?
  • Technical Health: Does your website work well with AI systems?
  • Information Currency: Is your online information up to date?
  • Agent Readiness: Can AI assistants take actions for your customers?

Scores range from 0-100, with higher scores indicating better AI visibility. This index is updated monthly to track improvements and changes across the cohort.

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