AI Visibility · Regional Scoreboard

Ford AI Visibility Detroit Metro

Ford dealers across Detroit

Regional report · 7 sub-markets
AI
VISIBILITY
Find Buy Service
Prepared July 2026Prepared by CarGenius
Overview

Executive summary

We measured how often AI assistants (ChatGPT, Google AI Mode, and Google AI Overview) name each of the region's 37 Ford dealers when shoppers ask where to find, buy, and service - city by city. Here is who is winning AI visibility today, and where the gaps are.

Pat Milliken Ford leads with 13% share of voice (of every time AI named a Ford dealer in the region) and is named in 69% of all answers. Bill Brown Ford and Bob Maxey Ford follow.

How to read this report. This draws on answers from ChatGPT, Google AI Mode, and Google AI Overview. Dealers are never named in the questions, so every dealer is measured the same way. Cities are not counted equally: each city counts toward the regional score in proportion to how much Ford shopping happens there - measured by its monthly search demand - so a strong showing in high-demand markets like Detroit and Ann Arbor moves a dealer's regional standing much more than the same showing in a small one. Every city's own results appear in the sub-market table below. The full method is at the end of this report.

The regional leaderboard

Who AI recommends most across the region. Share of voice: of every time AI named a Ford dealer in the region, how often it named this one. AI visibility: how often AI names the dealer at all. Named first: how often it is the very first dealer named.

  1. Pat Milliken Ford - 13% share of voice, named in 69% of answers, named first 26% of the time; strongest sub-market: Livonia.
  2. Bill Brown Ford - 12% share of voice, named in 64% of answers, named first 33% of the time; strongest sub-market: Livonia.
  3. Bob Maxey Ford - 12% share of voice, named in 64% of answers, named first 24% of the time; strongest sub-market: Detroit.
  4. Serra Ford Rochester Hills - 5% share of voice, named in 37% of answers, named first 2% of the time; strongest sub-market: Troy.
  5. Royal Oak Ford - 5% share of voice, named in 32% of answers, named first 3% of the time; strongest sub-market: Troy.
  6. Avis Ford - 4% share of voice, named in 30% of answers, named first 0% of the time; strongest sub-market: Farmington Hills.
  7. Dorian Ford - 4% share of voice, named in 27% of answers, named first 3% of the time; strongest sub-market: Warren.
  8. Suburban Ford of Troy - 4% share of voice, named in 22% of answers, named first 7% of the time; strongest sub-market: Troy.
  9. Serra Ford Farmington Hills - 4% share of voice, named in 24% of answers, named first 5% of the time; strongest sub-market: Farmington Hills.
  10. Varsity Ford - 4% share of voice, named in 13% of answers, named first 50% of the time; strongest sub-market: Ann Arbor.
  11. Suburban Ford of Sterling Heights - 3% share of voice, named in 23% of answers, named first 4% of the time; strongest sub-market: Warren.
  12. Roy O'Brien Ford - 3% share of voice, named in 15% of answers, named first 16% of the time; strongest sub-market: Warren.
  13. Jack Demmer Ford - 2% share of voice, named in 19% of answers, named first 0% of the time; strongest sub-market: Livonia.
  14. Hines Park Ford - 2% share of voice, named in 19% of answers, named first 0% of the time; strongest sub-market: Farmington Hills.
  15. Skalnek Ford, Inc. - 2% share of voice, named in 12% of answers, named first 8% of the time; strongest sub-market: Waterford.
  16. Suburban Ford of Ferndale - 2% share of voice, named in 15% of answers, named first 0% of the time; strongest sub-market: Detroit.
  17. Dean Sellers Inc - 2% share of voice, named in 18% of answers, named first 3% of the time; strongest sub-market: Troy.
  18. Taylor Ford - 2% share of voice, named in 20% of answers, named first 0% of the time; strongest sub-market: Detroit.
  19. Gene Butman Ford - 2% share of voice, named in 8% of answers, named first 0% of the time; strongest sub-market: Ann Arbor.
  20. Briarwood Ford - 2% share of voice, named in 8% of answers, named first 0% of the time; strongest sub-market: Ann Arbor.

Who leads each sub-market, and where

  • Detroit (population 645,705, 11,880 searches per month) - AI names Bob Maxey Ford most.
  • Ann Arbor (population 117,070, 2,340 searches per month) - AI names Varsity Ford most.
  • Warren (population 134,056, 1,520 searches per month) - AI names Dorian Ford most.
  • Livonia (population 94,635, 1,510 searches per month) - AI names Bill Brown Ford most.
  • Troy (population 83,280, 1,210 searches per month) - AI names Suburban Ford of Troy most.
  • Farmington Hills (population 81,330, 1,170 searches per month) - AI names Serra Ford Farmington Hills most.
  • Waterford (population 75,737, 540 searches per month) - AI names Suburban Ford of Waterford most.

Bubble area is proportional to monthly search demand; the number keys each sub-market to the table. Small dots mark the tracked dealers' locations. Map © OpenStreetMap contributors.

What the region is searching for

  • Ford F-150 - 3,880 searches per month
  • Ford Bronco - 3,270 searches per month
  • Ford Explorer - 3,100 searches per month
  • Ford Escape - 2,610 searches per month
  • Ford Maverick - 1,950 searches per month
  • Ford Expedition - 1,660 searches per month
  • Ford Mustang - 1,550 searches per month
  • Ford Ranger - 1,270 searches per month
  • Ford Bronco Sport - 880 searches per month

Top Sources

The websites AI cited most when answering shopper questions across the region, as a share of all citations:

  • billbrownford.net - 11.0% of citations
  • google.com - 8.4% of citations
  • dealerrater.com - 8.0% of citations
  • reddit.com - 7.2% of citations
  • carfax.com - 4.8% of citations
  • serrafordfarmingtonhills.com - 4.2% of citations
  • patmillikenford.com - 3.6% of citations
  • ford.com - 3.6% of citations
  • sellersford.com - 3.3% of citations
  • varsityford.com - 3.1% of citations
  • suburbanfordofwaterford.com - 2.8% of citations
  • dorianford.com - 2.3% of citations

Regional Insights

AI gives shoppers a short list of 3 to 9 dealers. AI answers with actual dealership names 100.0% of the time and names only 3 to 9 dealers per answer. A dealer not on that list loses the shopper to one that is.

The most Google reviews does not mean the most AI recommendations. Suburban Ford of Sterling Heights has the region's most Google reviews (7,212) yet ranks 11th of 35 on this leaderboard, while Bob Maxey Ford (922 reviews) ranks 3rd.

AI's information comes from review sites and forums, not dealer websites. dealerrater.com alone is cited more often than any dealer website. The most-cited discussion is r/royaloak's "Ford dealer for service", and 84% of the Reddit discussions AI cites come from this region's own communities. Complaint threads about specific stores are read too.

Dealer ratings run far lower on Yelp than on Google. The tracked dealers average 4.5 stars on Google but only 2.7 on Yelp, and 22 of 33 score below 3.0 there. Yelp is one of AI's cited sources in this report, so a weak Yelp profile feeds directly into what AI reads.

Detroit holds most of the demand - and no dealer has a firm lead. Detroit and Ann Arbor together hold 70% of the region's shopping demand, yet in Detroit, the busiest market, the most-recommended dealer (Bob Maxey Ford) takes only 18% of AI's dealer mentions. Each of the 7 local areas has a different dealer that AI names most.

Regional footprint

Who leads each sub-market, and where

The dealer AI names most in each sub-market. Each sub-market is measured at its anchor city - shown with its population - chosen to represent that part of the region; the anchors together span the metro's major population centers. On the map, each anchor's bubble is sized by its monthly shopper search demand, so larger circles are the markets with more search activity.

National footprint

The 25 metros, coast to coast

Each bubble is one of America's 25 biggest metro areas, sized by monthly shopper search demand in its anchor city and numbered by metro rank. The table that follows names the dealer AI recommends most in each.

Market demand

Where the nation shops

Monthly brand and model searches in each metro's anchor city - the demand AI answers compete for. Search demand weights and sizes the markets in this report; it is not a sales figure.

Market demand

What the region is searching for

How many shoppers near the region search for each model every month. This is the demand AI answers compete for, and it sets how much each city counts toward the scores. Search demand weights the cities in this report; it is not a sales figure.

Metro leaderboard

The National 25 - who AI recommends, metro by metro

The dealer AI assistants recommend most in each of the nation's 25 biggest metros, measured with identical non-branded Find / Buy / Service questions in each metro's anchor city.

How to read this. Share of voice: of every time AI named a dealer in this metro, how often it named this one. AI visibility: how often AI names the dealer at all. Named first: how often it is the very first dealer named - kept separate from visibility, as always. Bars are scaled to a 50% share.

Regional leaderboard

The regional leaderboard

Who AI recommends most across the region. Share of voice is the headline: out of every time AI named a dealer, how often it named this one. AI visibility is how often AI names the dealer at all, and named first is how often it is the very first dealer named - a dealer can be named often yet rarely first, so we keep these separate. Cities with more shopper demand count for more.

#DealerStrongest sub-marketAI visibilityShare of voiceNamed first
1Pat Milliken FordLivonia69%
13%
26%
2Bill Brown FordLivonia64%
12%
33%
3Bob Maxey FordDetroit64%
12%
24%
4Serra Ford Rochester HillsTroy37%
5%
2%
5Royal Oak FordTroy32%
5%
3%
6Avis FordFarmington Hills30%
4%
0%
7Dorian FordWarren27%
4%
3%
8Suburban Ford of TroyTroy22%
4%
7%
9Serra Ford Farmington HillsFarmington Hills24%
4%
5%
10Varsity FordAnn Arbor13%
4%
50%
11Suburban Ford of Sterling HeightsWarren23%
3%
4%
12Roy O'Brien FordWarren15%
3%
16%
13Jack Demmer FordLivonia19%
2%
0%
14Hines Park FordFarmington Hills19%
2%
0%
15Skalnek Ford, Inc.Waterford12%
2%
8%
16Suburban Ford of FerndaleDetroit15%
2%
0%
17Dean Sellers IncTroy18%
2%
3%
18Taylor FordDetroit20%
2%
0%
19Gene Butman FordAnn Arbor8%
2%
0%
20Briarwood FordAnn Arbor8%
2%
0%
Showing the top 20 of the 37 dealers measured; every dealer is measured and scored the same way.
Winning patterns

The winners are not who you'd expect

The two things dealers invest in as reputation - store size and Google rating - do not separate the AI leaders from the field. Most metros are led by a store that is not the biggest in its market, winning under its own local name.

Where AI's winners rank by store size. Every metro's dealers, ranked by Google review count; the groups below show where each metro's AI leader falls in that size order.

Dealer scorecard

Dealer ranking scorecard

Read each grade cell as two numbers: a bold 0-100 grade, and in grey the share of voice it comes from. The grade is relative - the region's strongest dealer scores 100 and every other dealer is measured against it. Find, Buy and Service are graded on their own and count equally toward the Weighted overall. "Weighted" means busier cities count for more: each city's result is scaled by its monthly search demand before the cities are combined, so how a dealer does where the shoppers are matters most.

AI sources

Top Sources

The websites AI cited most when answering shopper questions across the region - each shown as its share of all the citations AI made. Getting listed and well-reviewed on the sources that rank highest here is how a dealer gets into AI answers.

AI sources

What AI reads, nationally

Store size and ratings do not decide who AI recommends. The clearest national pattern is what AI reads: the same few sources appear in metro after metro. Sources are ranked by how many of the 25 measured metros have them among their ten most-cited. A source that shows up coast to coast shapes every market at once.

Market opportunity

Most metros are still up for grabs

The small number next to each metro is the leader's share of voice divided by the runner-up's - 1.0x means the leader and runner-up are tied.

Contested - the runner-up is within striking distance Held - the leader is comfortably ahead Bubble size = market size (monthly searches)

Leader's share of voice

Of every time AI named a dealer in that metro, the percentage that went to the metro's #1 dealer.

Runner-up's share of voice

The same measure for the #2 dealer. The closer the two shares, the closer the race; a leader can never sit below the dashed line, only above it.

Share of voice = a dealer's AI mentions ÷ all dealers' AI mentions in its metro
Striking distance = the runner-up holds at least the leader's share ÷ 1.2
Market opportunity

Share of Voice vs Share of Demand

This chart plots each dealer's Share of Voice (up) against its Share of Demand (across). The dashed line is break-even, where the two are equal. Below it, a dealer's Share of Demand is larger than its Share of Voice - the clearest gaps to close. Bubbles are sized by Google review count.

At or above its opportunity Below its opportunity (a gap) Bubble size = Google review count

Share of Voice

When AI assistants recommend dealers in this region, the percentage of those recommendations that go to this dealer.

Share of Demand

This dealer's slice of the region's shoppers, based on distance: each town's shoppers count toward the stores nearest them, and busier towns count for more.

Share of voice = a dealer's AI mentions ÷ all dealers' AI mentions
Share of demand = a dealer's nearby demand ÷ all dealers' nearby demand
Regional insights

Regional Insights

These patterns stand out when the region's answers are read together. Each one is computed from the measured runs behind this report.

National insights

National insights

Beyond the headline story, these patterns stand out when all the metros are read together. Each one is computed from the measured runs - per-metro results are directional, but these cross-metro patterns rest on the full national sample.

Recommended actions

What To Do

The patterns in this report are national, but the actions they point to are local - and none of them requires being the biggest store in the market. Five places to start, each grounded in what this measurement found.

Methodology

Methodology

We asked non-dealer branded questions - for example "best Ford dealer near [city]", "Ford F-150 inventory near [city]", and "where to service a Ford near [city]" - against ChatGPT, Google AI Mode, and Google AI Overview, city by city, and recorded which dealers each answer named and in what order. Dealers are never named in the questions, so every dealer in the region is measured the same way and the leaderboard reflects who AI brings up on its own. Search demand comes from Google search volume for in-market shopping terms by model and city; it weights each city and is not a sales figure. Every confirmed Ford dealership in the region's measured footprint is tracked and scored - 37 dealers in this report. The leaderboard and scorecard tables show the top 20 by share of voice.

Position is reported only as "named first". How often AI names a dealer and how early it names them are separate measurements, and this report keeps them separate. Because the weighting follows measured demand, Detroit and Ann Arbor together carry about 70% of the regional score; every city's own results are shown in the sub-market table. Search demand: Google search volume. AI visibility: live queries to ChatGPT, Google AI Mode, and Google AI Overview. Dealer ratings: Google Business Profile and Yelp.

Next step · For your dealership

Custom Dealer Reports

This regional report shows how AI sees the whole market. A Custom Dealer Report goes deeper on one dealership: yours.

This national report shows how AI sees dealers across America's biggest metros. A Custom Dealer Report goes deeper on one dealership: yours.

Every month, CarGenius runs the questions your buyers ask across the major AI engines and reports how often AI names you versus each competitor, scores your Find, Buy, and Service visibility, verifies your marketplace presence, and ranks what to fix by effort and impact.

Get a Custom Report
Custom Dealer Report · sample data

Most-mentioned dealers in your market

How often AI names each dealer across this month's shopping prompts
Your Dealership
54%
Competitor A
41%
Competitor B
33%
Competitor C
27%
FIND
72/100
BUY
41/100
SERVICE
58/100
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Ford
Detroit
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[{"title":"AI gives shoppers a short list of 3 to 9 dealers","html":"AI answers with actual dealership names 100.0% of the time and names only 3 to 9 dealers per answer. A dealer not on that list loses the shopper to one that is."},{"title":"The most Google reviews does not mean the most AI recommendations","html":"Suburban Ford of Sterling Heights has the region's most Google reviews (7,212) yet ranks 11th of 35 on this leaderboard, while Bob Maxey Ford (922 reviews) ranks 3rd."},{"title":"AI's information comes from review sites and forums, not dealer websites","html":"dealerrater.com alone is cited more often than any dealer website. The most-cited discussion is r/royaloak's \"Ford dealer for service\", and 84% of the Reddit discussions AI cites come from this region's own communities. Complaint threads about specific stores are read too."},{"title":"Dealer ratings run far lower on Yelp than on Google","html":"The tracked dealers average 4.5 stars on Google but only 2.7 on Yelp, and 22 of 33 score below 3.0 there. Yelp is one of AI's cited sources in this report, so a weak Yelp profile feeds directly into what AI reads."},{"title":"Detroit holds most of the demand - and no dealer has a firm lead","html":"Detroit and Ann Arbor together hold 70% of the region's shopping demand, yet in Detroit, the busiest market, the most-recommended dealer (Bob Maxey Ford) takes only 18% of AI's dealer mentions. Each of the 7 local areas has a different dealer that AI names most."}]
Bubble area is proportional to monthly search demand; the number keys each sub-market to the table. Small dots mark the tracked dealers' locations. Map © OpenStreetMap contributors.
Regional