Rooftop Signal

AI Visibility for Dealers

Honda/Acura Albany Metro AI Visibility Index

Comparing 15 Honda/Acura dealerships on how well AI models can discover and recommend them

Last updated: 2026-03-04

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Highest Score
65
Median Score
50
Average Score
46
Lowest Score
17

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 D'ELLA Honda of Glens Falls 65 73 85 90 80 0
#2 Lia Honda Albany 58 75 100 90 0 0
#3 Lia Honda of Kingston 58 75 100 90 0 0
#4 Northeast Acura 54 75 85 90 0 0
#5 Saratoga Honda 54 75 85 90 0 0
#6 Mohawk Honda 51 60 85 90 0 0
#7 Keeler Motor Car Company 51 80 20 90 80 0
#8 Rensselaer Honda 50 80 20 90 75 0
#9 Bedard Bros. Honda 50 80 20 90 75 0
#10 Keeler Honda 50 80 20 90 75 0
#11 Coggins Honda of Bennington 46 65 60 90 0 0
#12 Griffin Motorsports 40 68 35 90 0 0
#13 Broadway Garage of Columbia County 28 65 0 40 50 0
#14 Y & H Auto Planet 20 60 0 40 0 0
#15 Lia Hyundai Albany 17 45 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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