We measured how often AI assistants (ChatGPT, Google AI Mode, and Google AI Overview) name each of the region's 41 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.
Murgado Ford of Chicago leads with 11% share of voice (of every time AI named a Ford dealer in the region) and is named in 64% of all answers. Elmhurst Ford and Golf Mill Ford follow. The clearest gap is Westfield Ford, which AI names less often than its nearby shopper demand would suggest.
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 Chicago and Naperville 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.
Murgado Ford of Chicago - 11% share of voice, named in 64% of answers, named first 33% of the time; strongest sub-market: Chicago.
Elmhurst Ford - 10% share of voice, named in 68% of answers, named first 46% of the time; strongest sub-market: Chicago.
Golf Mill Ford - 8% share of voice, named in 50% of answers, named first 17% of the time; strongest sub-market: Chicago.
Sutton Ford - 7% share of voice, named in 41% of answers, named first 20% of the time; strongest sub-market: Chicago.
Zeigler Ford of North Riverside - 7% share of voice, named in 45% of answers, named first 8% of the time; strongest sub-market: Chicago.
Napleton Ford of Oak Lawn - 5% share of voice, named in 38% of answers, named first 1% of the time; strongest sub-market: Chicago.
Fair Oaks Ford - 5% share of voice, named in 33% of answers, named first 15% of the time; strongest sub-market: Naperville.
Joe Rizza Ford of Orland Park - 4% share of voice, named in 28% of answers, named first 0% of the time; strongest sub-market: Chicago.
Al Piemonte Ford - 4% share of voice, named in 29% of answers, named first 0% of the time; strongest sub-market: Chicago.
McCarthy Ford - 4% share of voice, named in 28% of answers, named first 0% of the time; strongest sub-market: Chicago.
Packey Webb Ford - 4% share of voice, named in 27% of answers, named first 1% of the time; strongest sub-market: Naperville.
Wickstrom Ford - 4% share of voice, named in 23% of answers, named first 2% of the time; strongest sub-market: Elgin.
Hawk Ford of Carol Stream - 3% share of voice, named in 24% of answers, named first 2% of the time; strongest sub-market: Naperville.
Gerald Ford - 3% share of voice, named in 17% of answers, named first 3% of the time; strongest sub-market: Aurora.
Currie Motors Ford of Frankfort - 2% share of voice, named in 11% of answers, named first 30% of the time; strongest sub-market: Joliet.
Westfield Ford - 2% share of voice, named in 15% of answers, named first 0% of the time; strongest sub-market: Hammond.
Hawk Ford of St. Charles - 2% share of voice, named in 8% of answers, named first 13% of the time; strongest sub-market: Elgin.
Metro Ford Sales & Service, Inc. - 2% share of voice, named in 14% of answers, named first 49% of the time; strongest sub-market: Chicago.
Tera Ford - 1% share of voice, named in 7% of answers, named first 2% of the time; strongest sub-market: Aurora.
Arlington Heights Ford - 1% share of voice, named in 11% of answers, named first 0% of the time; strongest sub-market: Elgin.
Who leads each sub-market, and where
Chicago (population 2,664,452, 36,800 searches per month) - AI names Elmhurst Ford most.
Naperville (population 147,100, 1,600 searches per month) - AI names Fair Oaks Ford most.
Aurora (population 200,661, 1,590 searches per month) - AI names Fair Oaks Ford most.
Joliet (population 147,861, 1,420 searches per month) - AI names Currie Motors Ford of Frankfort most.
Elgin (population 112,111, 1,200 searches per month) - AI names Hawk Ford of St. Charles most.
Hammond (population 77,614, 680 searches per month) - AI names Art Hill Ford and Lincoln most.
Waukegan (population 88,475, 550 searches per month) - AI names Gillespie Ford most.
The websites AI cited most when answering shopper questions across the region, as a share of all citations:
google.com - 10.0% of citations
fairoaksford.com - 8.7% of citations
dealerrater.com - 6.4% of citations
ford.com - 4.9% of citations
currieford.com - 3.7% of citations
hopkinsfordelgin.com - 3.6% of citations
carfax.com - 3.5% of citations
reddit.com - 3.3% of citations
caredge.com - 3.0% of citations
kbb.com - 2.9% of citations
rodbakerford.com - 2.7% of citations
geraldfordnorthaurora.com - 2.6% of citations
Regional Insights
AI gives shoppers a short list of 3 to 8 dealers. AI answers with actual dealership names 100.0% of the time and names only 3 to 8 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. Huntley Ford has the region's most Google reviews (7,103) yet ranks 23rd of 39 on this leaderboard, while Murgado Ford of Chicago (2,106 reviews) ranks 1st.
Dealer ratings run far lower on Yelp than on Google. The tracked dealers average 4.4 stars on Google but only 2.7 on Yelp, and 27 of 37 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.
Chicago holds most of the demand - and no dealer has a firm lead. Chicago and Naperville together hold 88% of the region's shopping demand, yet in Chicago, the busiest market, the most-recommended dealer (Elmhurst Ford) takes only 13% of AI's dealer mentions. AI names a different leading dealer in 6 of the 7 local areas.
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.
#
Dealer
Strongest sub-market
AI visibility
Share of voice
Named first
1
Murgado Ford of Chicago
Chicago
64%
11%
33%
2
Elmhurst Ford
Chicago
68%
10%
46%
3
Golf Mill Ford
Chicago
50%
8%
17%
4
Sutton Ford
Chicago
41%
7%
20%
5
Zeigler Ford of North Riverside
Chicago
45%
7%
8%
6
Napleton Ford of Oak Lawn
Chicago
38%
5%
1%
7
Fair Oaks Ford
Naperville
33%
5%
15%
8
Joe Rizza Ford of Orland Park
Chicago
28%
4%
0%
9
Al Piemonte Ford
Chicago
29%
4%
0%
10
McCarthy Ford
Chicago
28%
4%
0%
11
Packey Webb Ford
Naperville
27%
4%
1%
12
Wickstrom Ford
Elgin
23%
4%
2%
13
Hawk Ford of Carol Stream
Naperville
24%
3%
2%
14
Gerald Ford
Aurora
17%
3%
3%
15
Currie Motors Ford of Frankfort
Joliet
11%
2%
30%
16
Westfield Ford
Hammond
15%
2%
0%
17
Hawk Ford of St. Charles
Elgin
8%
2%
13%
18
Metro Ford Sales & Service, Inc.
Chicago
14%
2%
49%
19
Tera Ford
Aurora
7%
1%
2%
20
Arlington Heights Ford
Elgin
11%
1%
0%
Showing the top 20 of the 41 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 distanceHeld - the leader is comfortably aheadBubble 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 opportunityBelow 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 - 41 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, Chicago and Naperville together carry about 88% 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.
Related reports
Related Reports
The national report this regional report belongs to, and sibling regions as they publish.
Regional reports
Regional Reports
Metro-level reports, each ranking the dealers AI
recommends across that metro, city by city.
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.
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
About CarGenius
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Ford
Chicago
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[{"rank":1,"dealer":"Murgado Ford of Chicago","overall":{"grade":100,"share":0.106},"find":{"grade":43,"share":0.057},"buy":{"grade":84,"share":0.133},"service":{"grade":100,"share":0.128},"sentiment":52,"google":{"rating":4.2,"reviews":2106},"yelp":{"rating":3.4,"reviews":84}},{"rank":2,"dealer":"Elmhurst Ford","overall":{"grade":99,"share":0.1047},"find":{"grade":100,"share":0.1329},"buy":{"grade":49,"share":0.0772},"service":{"grade":81,"share":0.104},"sentiment":66,"google":{"rating":4.7,"reviews":2482},"yelp":{"rating":2.7,"reviews":147}},{"rank":3,"dealer":"Golf Mill Ford","overall":{"grade":78,"share":0.0823},"find":{"grade":18,"share":0.0236},"buy":{"grade":100,"share":0.159},"service":{"grade":50,"share":0.0642},"sentiment":60,"google":{"rating":4.2,"reviews":3712},"yelp":{"rating":2.8,"reviews":669}},{"rank":4,"dealer":"Sutton 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[{"title":"AI gives shoppers a short list of 3 to 8 dealers","html":"AI answers with actual dealership names 100.0% of the time and names only 3 to 8 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":"Huntley Ford has the region's most Google reviews (7,103) yet ranks 23rd of 39 on this leaderboard, while Murgado Ford of Chicago (2,106 reviews) ranks 1st."},{"title":"Dealer ratings run far lower on Yelp than on Google","html":"The tracked dealers average 4.4 stars on Google but only 2.7 on Yelp, and 27 of 37 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":"Chicago holds most of the demand - and no dealer has a firm lead","html":"Chicago and Naperville together hold 88% of the region's shopping demand, yet in Chicago, the busiest market, the most-recommended dealer (Elmhurst Ford) takes only 13% of AI's dealer mentions. AI names a different leading dealer in 6 of the 7 local areas."}]
[{"tag":"National","title":"Ford - National AI Report","desc":"The dealer AI recommends most in each of America's 25 biggest metros, and what the 25 winners have in common.","url":"/dealer-ai-visibility/ford-national"},{"tag":"Regional","title":"Ford - Detroit AI Report","desc":"Which Ford dealers AI recommends across Detroit, ranked city by city.","url":"/dealer-ai-visibility/ford-detroit"},{"tag":"Regional","title":"Ford - St. Louis AI Report","desc":"Which Ford dealers AI recommends across St. Louis, ranked city by city.","url":"/dealer-ai-visibility/ford-st-louis"}]