Ford/Lincoln Tulsa Metro AI Visibility Index
Comparing 15 Ford/Lincoln dealerships on how well AI models can discover and recommend them
Last updated: 2026-02-27
View on Map →How to Read This Index
Strong AI visibility — AI models can easily discover and accurately represent this dealer
Moderate visibility — some information is accessible but key details may be missed
Weak visibility — AI can find this dealer but struggles to accurately represent them
Limited visibility — significant gaps make it hard for AI to recommend this dealer
| Rank | Dealer Name |
|---|---|
| #1 | Harlan Ford |
| #2 | Matthews Ford |
| #3 | Jim Norton Ford |
| #4 | Bill Knight Ford of Bartlesville |
| #5 | Jim Norton Ford |
| #6 | Bill Knight Ford |
| #7 | LUV Ford |
| #8 | Matthews Ford of Pryor |
| #9 | Fowler Ford |
| #10 | Jack Kissee Ford |
| #11 | Quality Ford |
| #12 | James Hodge Ford Lincoln Muskogee |
| #13 | Riverside Ford of Tulsa |
| #14 | Bill Knight Ford Fleet Department |
| #15 | United Ford Parts (Tulsa Ford PDC) |
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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