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THE AI VISIBILITY INDEX

Nissan Raleigh Metro AI Visibility Index

Comparing 15 Nissan dealerships on how well AI models can discover and recommend them

Last updated: 2026-03-04

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Highest Score
64
Median Score
47
Average Score
38
Lowest Score
15

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 Crossroads Nissan of Wake Forest 64 73 85 90 70 0
#2 Nissan of Rocky Mount 63 73 85 90 65 0
#3 Michael Jordan Nissan 58 75 100 90 0 0
#4 Leith Nissan 49 80 20 90 70 0
#5 Fred Anderson Nissan of Raleigh 49 80 20 90 70 0
#6 Classic Nissan of Sanford 48 60 85 75 0 0
#7 Inline Auto Sale 47 60 70 90 0 0
#8 Uptown Auto Imports 47 60 70 90 0 0
#9 Maness Motors, Bintelli LSV's (Golf Carts), and American Landmaster 46 57 70 90 0 0
#10 Sanford Autopark 20 60 0 40 0 0
#11 Imotors 17 45 0 40 0 0
#12 ZED Motors 17 45 0 40 0 0
#13 H & J 17 45 0 40 0 0
#14 North Hills Motors Of Raleigh 17 45 0 40 0 0
#15 Deacon Jones Nissan 15 38 0 40 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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