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THE AI VISIBILITY INDEX

Volkswagen Detroit Metro AI Visibility Index

Comparing 20 Volkswagen dealerships on how well AI models can discover and recommend them

Last updated: 2026-03-04

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Highest Score
67
Median Score
37
Average Score
38
Lowest Score
12

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 Mike Savoie Volkswagen 67 93 85 90 65 0
#2 Volkswagen of Ann Arbor 67 93 85 90 65 0
#3 LaFontaine Volkswagen Livonia 62 95 100 90 0 0
#4 LaFontaine Volkswagen Dearborn 62 95 100 90 0 0
#5 Volkswagen Chatham 54 75 85 90 0 0
#6 Volkswagen of Windsor 52 65 85 90 0 0
#7 RECYCLED inc Parts for all VWs since 1977 NEW and USED we ship ......... 49 75 65 90 0 0
#8 Suburbanvwoffarmingtonhills 45 65 20 90 65 0
#9 Fox Volkswagen 45 65 20 90 65 0
#11 VW Dealer Careers 37 95 0 90 0 0
#18 Moran Volkswagen of Sterling Heights 13 25 0 40 0 0
#19 Fox Volkswagen 12 10 0 50 0 0
#20 Moran Volkswagen 12 10 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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