In every one of America's 25 biggest metro areas, AI assistants already have a favorite Nissan dealer. This report names all 25. In 20 of 25 metros the AI leader is not the metro's biggest store by review count, and the leaders' average Google rating (4.5★) is no better than the field's (4.5★). Store size and Google ratings do not decide who AI recommends. What the winners share is being close to where the shopper asks, and presence on the short list of sources AI reads in nearly every market. And with 18 of 25 metros still a contested race, the leader in most metros can still change.
Measured with identical non-branded Find / Buy / Service questions asked city by city across each metro, with every city's results weighted by its real search demand - so every metro and every dealer is measured the same way. The full method is at the end of this report.
25 metro AI leaders named
80% of metros: the biggest store is not the AI leader
92% of leaders do not hold their metro's highest Google rating
72% of metros are a contested race
The National 25 - who AI recommends, metro by metro
The dealer AI assistants recommend most in each of the nation's 25 biggest metros. Share of voice: of every time AI named a Nissan dealer in the 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.
New York - Nissan of Queens (based in Queens, NY) leads with 18% share of voice, named in 74% of answers, named first 25% of the time. Google 4.3★, Yelp 2.0★.
Los Angeles - Nissan of Downtown LA (based in Los Angeles, CA) leads with 21% share of voice, named in 87% of answers, named first 72% of the time. Google 4.2★, Yelp 2.3★.
Chicago - Berman Nissan of Chicago (based in Chicago, IL) leads with 21% share of voice, named in 84% of answers, named first 78% of the time. Google 4.6★, Yelp 2.7★.
Dallas-Fort Worth - Metro Nissan of Dallas (based in Farmers Branch, TX) leads with 13% share of voice, named in 50% of answers, named first 45% of the time. Google 4.6★, Yelp 2.5★.
Houston - Mossy Nissan (based in Houston, TX) leads with 15% share of voice, named in 74% of answers, named first 8% of the time. Google 4.5★, Yelp 3.5★.
Atlanta - Mike Rezi Nissan (based in Atlanta, GA) leads with 19% share of voice, named in 85% of answers, named first 76% of the time. Google 4.6★, Yelp 2.6★.
Washington DC - Passport Nissan of Alexandria (based in Alexandria, VA) leads with 18% share of voice, named in 70% of answers, named first 36% of the time. Google 4.5★, Yelp 2.8★.
Miami - Palmetto57 Nissan (based in Miami Gardens, FL) leads with 17% share of voice; a near-tie - the runner-up's share rounds to the same number, named in 63% of answers, named first 16% of the time. Google 4.6★, Yelp 2.5★.
Philadelphia - Chapman Nissan (based in Philadelphia, PA) leads with 17% share of voice, named in 73% of answers, named first 64% of the time. Google 4.4★, Yelp 2.3★.
Phoenix - Midway Nissan (based in Phoenix, AZ) leads with 13% share of voice, named in 63% of answers, named first 8% of the time. Google 4.2★, Yelp not rated.
Boston - Colonial Nissan Of Medford (based in Medford, MA) leads with 16% share of voice; a near-tie - the runner-up's share rounds to the same number, named in 67% of answers, named first 21% of the time. Google 4.5★, Yelp 3.0★.
Riverside - Fontana Nissan (based in Fontana, CA) leads with 11% share of voice, named in 38% of answers, named first 15% of the time. Google 4.7★, Yelp 3.6★.
San Francisco Bay Area - Premier Nissan of Fremont (based in Fremont, CA) leads with 19% share of voice, named in 62% of answers, named first 5% of the time. Google 4.5★, Yelp 2.8★.
Detroit - Tamaroff Nissan (based in Southfield, MI) leads with 17% share of voice, named in 76% of answers, named first 18% of the time. Google 4.6★, Yelp 3.4★.
Seattle - Campbell Nissan of Edmonds (based in Edmonds, WA) leads with 17% share of voice, named in 73% of answers, named first 26% of the time. Google 4.7★, Yelp not rated.
Minneapolis-St. Paul - Luther Nissan of Inver Grove (based in Inver Grove Heights, MN) leads with 19% share of voice, named in 82% of answers, named first 45% of the time. Google 4.6★, Yelp 1.7★.
Tampa - Courtesy Nissan Of Tampa (based in Tampa, FL) leads with 14% share of voice; a near-tie - the runner-up's share rounds to the same number, named in 56% of answers, named first 40% of the time. Google 4.5★, Yelp not rated.
San Diego - Mossy Nissan Kearny Mesa (based in San Diego, CA) leads with 21% share of voice, named in 85% of answers, named first 64% of the time. Google 4.5★, Yelp 3.7★.
Denver - Tynan’s Nissan Aurora (based in Aurora, CO) leads with 22% share of voice; a near-tie - the runner-up's share rounds to the same number, named in 83% of answers, named first 26% of the time. Google 4.5★, Yelp 2.4★.
Orlando - Universal Nissan (based in Orlando, FL) leads with 25% share of voice, named in 90% of answers, named first 63% of the time. Google 4.6★, Yelp 2.2★.
Charlotte - East Charlotte Nissan (based in Charlotte, NC) leads with 21% share of voice, named in 74% of answers, named first 16% of the time. Google 4.5★, Yelp 2.3★.
Baltimore - Bob Bell Nissan (based in Baltimore, MD) leads with 17% share of voice, named in 79% of answers, named first 35% of the time. Google 4.3★, Yelp 2.5★.
St. Louis - St. Charles Nissan (based in St Peters, MO) leads with 19% share of voice, named in 75% of answers, named first 21% of the time. Google 4.6★, Yelp 2.6★.
San Antonio - Gunn Nissan (based in San Antonio, TX) leads with 21% share of voice, named in 91% of answers, named first 45% of the time. Google 4.6★, Yelp 2.9★.
Austin - Group 1 Nissan Round Rock (based in Round Rock, TX) leads with 24% share of voice; a near-tie - the runner-up's share rounds to the same number, named in 86% of answers, named first 25% of the time. Google 4.3★, Yelp 2.7★.
Monthly brand and model searches across each metro's measured cities - the demand AI answers compete for:
New York - 87,500 searches per month
Los Angeles - 40,800 searches per month
Houston - 39,140 searches per month
Dallas-Fort Worth - 36,040 searches per month
Chicago - 30,630 searches per month
Atlanta - 22,720 searches per month
Miami - 21,770 searches per month
Denver - 21,070 searches per month
San Francisco Bay Area - 20,000 searches per month
Phoenix - 19,090 searches per month
Philadelphia - 18,360 searches per month
San Diego - 18,120 searches per month
Seattle - 16,810 searches per month
Orlando - 16,650 searches per month
San Antonio - 16,560 searches per month
Austin - 16,280 searches per month
Charlotte - 15,490 searches per month
Minneapolis-St. Paul - 14,750 searches per month
Tampa - 14,470 searches per month
Baltimore - 12,070 searches per month
Washington DC - 12,030 searches per month
Boston - 10,390 searches per month
St. Louis - 10,290 searches per month
Riverside - 10,270 searches per month
Detroit - 8,890 searches per month
What AI reads, nationally
The websites AI cited most when answering shopper questions across the 25 measured metros, as a share of all citations:
dealerrater.com - 10.6% of citations
nissanusa.com - 9.5% of citations
carfax.com - 6.8% of citations
cars.com - 4.2% of citations
yelp.com - 3.4% of citations
caredge.com - 2.7% of citations
cargurus.com - 2.6% of citations
kbb.com - 2.0% of citations
autotrader.com - 1.6% of citations
capitalone.com - 1.1% of citations
edmunds.com - 1.0% of citations
birdeye.com - 0.9% of citations
reddit.com - 0.8% of citations
facebook.com - 0.7% of citations
bbb.org - 0.3% of citations
National insights
AI recommends locally. In 23 of 25 metros, a dealer's share of voice falls as its distance from the metro's center grows - the strongest single force we measured, ahead of ratings and store size. The typical metro leader sits 10 miles from the city center; the typical measured store sits 19.
Different dealers win sales and service. In 10 of 25 metros, the dealer AI recommends for service is not the dealer it recommends for buying. In Chicago, OLD ORCHARD NISSAN wins the purchase questions while Berman Nissan of Chicago wins service.
Yelp is a weak spot for some leaders.17 of the 22 metro leaders with a Yelp listing carry a rating below 3 stars. Yelp is a major review source for AI answers, so the gap matters.
Even the leading dealers are absent from many answers. Across the measured metros, even the leading dealer is named in only 74% of AI answers on average - the rest name someone else. AI visibility is contested everywhere, including at the top.
Group and local names win in proportion. Group-branded stores are 2% of the measured field and 0% of the metro leaders - neither side over-performs.
What To Do
Strengthen your profiles on the sites AI reads most. dealerrater.com, nissanusa.com, carfax.com are among the ten most-cited sources in at least 80% of the metros we measured. Strengthen those first: keep your Google Business Profile complete and actively managed, claim your DealerRater page and respond to its reviews, and take part in the local discussions where shoppers ask about dealers. Then add the review sites AI cites in your own market (the source table above shows the national picture).
Build real pages for the nearby markets you want to win. AI recommends locally: in 23 of 25 metros, the dealers it names most are the ones closest to where the shopper asks. You cannot move the store, but you can make your relevance to each nearby market visible. Give every city you serve its own page with real substance: the inventory you deliver there, the drive time from that city, the services those customers use, and reviews from real customers who live there. Thin copies of one page do not help; give AI real local content to cite.
Work on service visibility separately. In 10 of 25 metros, the dealer AI recommends for service is not the dealer it recommends for buying. Winning the sales conversation does not carry over. Service needs its own footprint: service pages on your website, service reviews, and service questions answered on the same sites.
Publish content only your dealership can offer. Leaders and the field are tied on Google ratings (4.5★ to 4.5★), so generic claims about quality do not separate anyone. Give the sites AI reads specific, factual material to cite: your actual inventory, real customer reviews, and the services your store offers - and keep it current.
Know where you stand. Every metro here was measured with the same non-branded questions real shoppers ask, and 18 of 25 metros are a contested race. You cannot aim any of the steps above without knowing your own position: which questions you win, which you lose, and to whom. That is what a dealer-level measurement shows.
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.
#
Metro
Dealer city
AI leader
Share of voice
AI visibility
Named first
Google
Yelp
1
New York
Queens, NY
Nissan of Queens
18%
74%
25%
4.3★
2.0★
2
Los Angeles
Los Angeles, CA
Nissan of Downtown LA
21%
87%
72%
4.2★
2.3★
3
Chicago
Chicago, IL
Berman Nissan of Chicago
21%
84%
78%
4.6★
2.7★
4
Dallas-Fort Worth
Farmers Branch, TX
Metro Nissan of Dallas
13%
50%
45%
4.6★
2.5★
5
Houston
Houston, TX
Mossy Nissan
15%
74%
8%
4.5★
3.5★
6
Atlanta
Atlanta, GA
Mike Rezi Nissan
19%
85%
76%
4.6★
2.6★
7
Washington DC
Alexandria, VA
Passport Nissan of Alexandria
18%
70%
36%
4.5★
2.8★
8
Miami
Miami Gardens, FL
Palmetto57 Nissan
17%*
63%
16%
4.6★
2.5★
9
Philadelphia
Philadelphia, PA
Chapman Nissan
17%
73%
64%
4.4★
2.3★
10
Phoenix
Phoenix, AZ
Midway Nissan
13%
63%
8%
4.2★
-
11
Boston
Medford, MA
Colonial Nissan Of Medford
16%*
67%
21%
4.5★
3.0★
12
Riverside
Fontana, CA
Fontana Nissan
11%
38%
15%
4.7★
3.6★
13
San Francisco Bay Area
Fremont, CA
Premier Nissan of Fremont
19%
62%
5%
4.5★
2.8★
14
Detroit
Southfield, MI
Tamaroff Nissan
17%
76%
18%
4.6★
3.4★
15
Seattle
Edmonds, WA
Campbell Nissan of Edmonds
17%
73%
26%
4.7★
-
16
Minneapolis-St. Paul
Inver Grove Heights, MN
Luther Nissan of Inver Grove
19%
82%
45%
4.6★
1.7★
17
Tampa
Tampa, FL
Courtesy Nissan Of Tampa
14%*
56%
40%
4.5★
-
18
San Diego
San Diego, CA
Mossy Nissan Kearny Mesa
21%
85%
64%
4.5★
3.7★
19
Denver
Aurora, CO
Tynan’s Nissan Aurora
22%*
83%
26%
4.5★
2.4★
20
Orlando
Orlando, FL
Universal Nissan
25%
90%
63%
4.6★
2.2★
21
Charlotte
Charlotte, NC
East Charlotte Nissan
21%
74%
16%
4.5★
2.3★
22
Baltimore
Baltimore, MD
Bob Bell Nissan
17%
79%
35%
4.3★
2.5★
23
St. Louis
St Peters, MO
St. Charles Nissan
19%
75%
21%
4.6★
2.6★
24
San Antonio
San Antonio, TX
Gunn Nissan
21%
91%
45%
4.6★
2.9★
25
Austin
Round Rock, TX
Group 1 Nissan Round Rock
24%*
86%
25%
4.3★
2.7★
A share marked * is a near-tie: the runner-up's share rounds to the same number, and the ranking follows the unrounded scores.
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.
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. Each website is shown as its
share of all the citations AI made across the 25 measured metros. Getting listed and
well-reviewed on the sources that rank highest here is how a dealer gets into AI answers.
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 - where to find, buy, and service a Nissan - city by city across each of America's 25 biggest metro areas, and recorded which dealerships each AI assistant named and in what order. Every Nissan dealership in the metro's measured footprint is included, and dealers are never named in the questions, so every dealer is measured the same way. Each city's results are weighted by its real search demand, and every metro gets the identical question set, which is what makes the cross-metro patterns comparable.
Read each metro's result as one measurement in time. AI answers vary run to run, and in a closely contested metro the top spots can trade places between measurements. The national patterns, aggregated across all the metros, are the robust layer of this report. Share of voice, visibility, and named-first are always reported separately. Metro population figures are US Census Bureau estimates; search demand is Google search volume; dealer ratings are Google Business Profile, DealerRater, 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.
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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
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Dallas","group":null,"sov":0.1278,"visibility":0.503,"first_rate":0.4452,"google":4.6,"dealerrater":null,"yelp":2.5},{"rank":5,"metro":"Houston","anchor":"Houston, TX","home":"Houston, TX","near_tie":false,"leader":"Mossy Nissan","group":null,"sov":0.15,"visibility":0.7446,"first_rate":0.0788,"google":4.5,"dealerrater":null,"yelp":3.5},{"rank":6,"metro":"Atlanta","anchor":"Atlanta, GA","home":"Atlanta, GA","near_tie":false,"leader":"Mike Rezi Nissan","group":null,"sov":0.1866,"visibility":0.8477,"first_rate":0.7569,"google":4.6,"dealerrater":5.0,"yelp":2.6},{"rank":7,"metro":"Washington DC","anchor":"Washington, DC","home":"Alexandria, VA","near_tie":false,"leader":"Passport Nissan of Alexandria","group":null,"sov":0.1771,"visibility":0.6976,"first_rate":0.3589,"google":4.5,"dealerrater":4.5,"yelp":2.8},{"rank":8,"metro":"Miami","anchor":"Miami, FL","home":"Miami Gardens, FL","near_tie":true,"leader":"Palmetto57 Nissan","group":null,"sov":0.1684,"visibility":0.6334,"first_rate":0.1551,"google":4.6,"dealerrater":4.8,"yelp":2.5},{"rank":9,"metro":"Philadelphia","anchor":"Philadelphia, PA","home":"Philadelphia, PA","near_tie":false,"leader":"Chapman Nissan","group":null,"sov":0.1687,"visibility":0.7335,"first_rate":0.6443,"google":4.4,"dealerrater":4.7,"yelp":2.3},{"rank":10,"metro":"Phoenix","anchor":"Phoenix, AZ","home":"Phoenix, AZ","near_tie":false,"leader":"Midway Nissan","group":null,"sov":0.132,"visibility":0.6332,"first_rate":0.0827,"google":4.2,"dealerrater":4.4,"yelp":null},{"rank":11,"metro":"Boston","anchor":"Boston, MA","home":"Medford, MA","near_tie":true,"leader":"Colonial Nissan Of Medford","group":null,"sov":0.1607,"visibility":0.6737,"first_rate":0.2094,"google":4.5,"dealerrater":4.8,"yelp":3.0},{"rank":12,"metro":"Riverside","anchor":"Riverside, CA","home":"Fontana, CA","near_tie":false,"leader":"Fontana Nissan","group":null,"sov":0.1077,"visibility":0.3824,"first_rate":0.1461,"google":4.7,"dealerrater":4.9,"yelp":3.6},{"rank":13,"metro":"San Francisco Bay Area","anchor":"San Francisco, CA","home":"Fremont, CA","near_tie":false,"leader":"Premier Nissan of Fremont","group":null,"sov":0.1901,"visibility":0.6199,"first_rate":0.0545,"google":4.5,"dealerrater":4.2,"yelp":2.8},{"rank":14,"metro":"Detroit","anchor":"Detroit, MI","home":"Southfield, MI","near_tie":false,"leader":"Tamaroff Nissan","group":null,"sov":0.173,"visibility":0.7612,"first_rate":0.1801,"google":4.6,"dealerrater":4.8,"yelp":3.4},{"rank":15,"metro":"Seattle","anchor":"Seattle, WA","home":"Edmonds, WA","near_tie":false,"leader":"Campbell Nissan of Edmonds","group":null,"sov":0.1729,"visibility":0.7328,"first_rate":0.261,"google":4.7,"dealerrater":null,"yelp":null},{"rank":16,"metro":"Minneapolis-St. Paul","anchor":"Minneapolis, MN","home":"Inver Grove Heights, MN","near_tie":false,"leader":"Luther Nissan of Inver Grove","group":null,"sov":0.1944,"visibility":0.8195,"first_rate":0.4502,"google":4.6,"dealerrater":4.6,"yelp":1.7},{"rank":17,"metro":"Tampa","anchor":"Tampa, FL","home":"Tampa, FL","near_tie":true,"leader":"Courtesy Nissan Of Tampa","group":null,"sov":0.1379,"visibility":0.5571,"first_rate":0.4012,"google":4.5,"dealerrater":4.5,"yelp":null},{"rank":18,"metro":"San Diego","anchor":"San Diego, CA","home":"San Diego, CA","near_tie":false,"leader":"Mossy Nissan Kearny Mesa","group":null,"sov":0.2093,"visibility":0.8462,"first_rate":0.6374,"google":4.5,"dealerrater":null,"yelp":3.7},{"rank":19,"metro":"Denver","anchor":"Denver, CO","home":"Aurora, CO","near_tie":true,"leader":"Tynan’s Nissan Aurora","group":null,"sov":0.2181,"visibility":0.8274,"first_rate":0.2583,"google":4.5,"dealerrater":4.8,"yelp":2.4},{"rank":20,"metro":"Orlando","anchor":"Orlando, FL","home":"Orlando, FL","near_tie":false,"leader":"Universal Nissan","group":null,"sov":0.2471,"visibility":0.8982,"first_rate":0.6309,"google":4.6,"dealerrater":4.6,"yelp":2.2},{"rank":21,"metro":"Charlotte","anchor":"Charlotte, NC","home":"Charlotte, NC","near_tie":false,"leader":"East Charlotte Nissan","group":null,"sov":0.2091,"visibility":0.7447,"first_rate":0.1633,"google":4.5,"dealerrater":null,"yelp":2.3},{"rank":22,"metro":"Baltimore","anchor":"Baltimore, MD","home":"Baltimore, MD","near_tie":false,"leader":"Bob Bell Nissan","group":null,"sov":0.1656,"visibility":0.7867,"first_rate":0.3533,"google":4.3,"dealerrater":null,"yelp":2.5},{"rank":23,"metro":"St. Louis","anchor":"St. Louis, MO","home":"St Peters, MO","near_tie":false,"leader":"St. Charles Nissan","group":null,"sov":0.1852,"visibility":0.7484,"first_rate":0.2089,"google":4.6,"dealerrater":4.9,"yelp":2.6},{"rank":24,"metro":"San Antonio","anchor":"San Antonio, TX","home":"San Antonio, TX","near_tie":false,"leader":"Gunn Nissan","group":null,"sov":0.2129,"visibility":0.9115,"first_rate":0.449,"google":4.6,"dealerrater":4.9,"yelp":2.9},{"rank":25,"metro":"Austin","anchor":"Austin, TX","home":"Round Rock, TX","near_tie":true,"leader":"Group 1 Nissan Round Rock","group":null,"sov":0.2437,"visibility":0.8593,"first_rate":0.2484,"google":4.3,"dealerrater":4.7,"yelp":2.7}]
[{"title":"AI recommends locally","html":"In <strong>23 of 25</strong> metros, a dealer's share of voice falls as its distance from the metro's center grows - the strongest single force we measured, ahead of ratings and store size. The typical metro leader sits <strong>10 miles</strong> from the city center; the typical measured store sits 19."},{"title":"Different dealers win sales and service","html":"In <strong>10 of 25</strong> metros, the dealer AI recommends for service is not the dealer it recommends for buying. In Chicago, <strong>OLD ORCHARD NISSAN</strong> wins the purchase questions while <strong>Berman Nissan of Chicago</strong> wins service."},{"title":"Yelp is a weak spot for some leaders","html":"<strong>17 of the 22</strong> metro leaders with a Yelp listing carry a rating below 3 stars. Yelp is a major review source for AI answers, so the gap matters."},{"title":"Even the leading dealers are absent from many answers","html":"Across the measured metros, even the leading dealer is named in only <strong>74%</strong> of AI answers on average - the rest name someone else. AI visibility is contested everywhere, including at the top."},{"title":"Group and local names win in proportion","html":"Group-branded stores are 2% of the measured field and 0% of the metro leaders - neither side over-performs."}]
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[{"metro":"New York","searches":87500},{"metro":"Los Angeles","searches":40800},{"metro":"Houston","searches":39140},{"metro":"Dallas-Fort Worth","searches":36040},{"metro":"Chicago","searches":30630},{"metro":"Atlanta","searches":22720},{"metro":"Miami","searches":21770},{"metro":"Denver","searches":21070},{"metro":"San Francisco Bay Area","searches":20000},{"metro":"Phoenix","searches":19090},{"metro":"Philadelphia","searches":18360},{"metro":"San Diego","searches":18120},{"metro":"Seattle","searches":16810},{"metro":"Orlando","searches":16650},{"metro":"San Antonio","searches":16560},{"metro":"Austin","searches":16280},{"metro":"Charlotte","searches":15490},{"metro":"Minneapolis-St. Paul","searches":14750},{"metro":"Tampa","searches":14470},{"metro":"Baltimore","searches":12070},{"metro":"Washington DC","searches":12030},{"metro":"Boston","searches":10390},{"metro":"St. Louis","searches":10290},{"metro":"Riverside","searches":10270},{"metro":"Detroit","searches":8890}]
{"pattern_title":"The biggest store does not always win","pattern_html":"In 20 of 25 metros, the dealer AI recommends most is not the metro's biggest store by Google review count. The most extreme example: Metro Nissan of Dallas leads Dallas-Fort Worth while ranking #15 of 15 stores by review count.","fine_html":"<strong>The ratings tie.</strong> Metro leaders average 4.5★ on Google against a 4.5★ field average - nearly every store holds a strong rating, so ratings alone do not separate the leaders from the field. Group membership is read from the dealership's own name (a store owned by a group but branded locally counts as local), and review counts select who we measure - they never enter the score.","buckets":[{"count":5,"title":"The metro's biggest store wins","sub":"size predicted the winner","items":[{"metro":"Minneapolis-St. Paul","pos":"#1 of 7"},{"metro":"Orlando","pos":"#1 of 9"},{"metro":"Atlanta","pos":"#1 of 14"},{"metro":"Tampa","pos":"#1 of 16"},{"metro":"Philadelphia","pos":"#1 of 23"}]},{"count":13,"title":"A top-half store wins","sub":"big, but not the biggest","items":[{"metro":"Los Angeles","pos":"#10 of 21"},{"metro":"San Diego","pos":"#3 of 7"},{"metro":"Baltimore","pos":"#7 of 18"},{"metro":"Riverside","pos":"#8 of 21"},{"metro":"Washington DC","pos":"#6 of 17"},{"metro":"New York","pos":"#10 of 33"},{"metro":"Phoenix","pos":"#3 of 10"},{"metro":"Detroit","pos":"#3 of 10"},{"metro":"Miami","pos":"#3 of 11"},{"metro":"San Antonio","pos":"#2 of 8"},{"metro":"Charlotte","pos":"#2 of 10"},{"metro":"San Francisco Bay Area","pos":"#2 of 11"},{"metro":"Chicago","pos":"#2 of 25"}]},{"count":6,"title":"A bottom-half store wins","sub":"the winner is a smaller store","items":[{"metro":"St. Louis","pos":"#7 of 8"},{"metro":"Austin","pos":"#5 of 6"},{"metro":"Denver","pos":"#6 of 8"},{"metro":"Seattle","pos":"#8 of 11"},{"metro":"Houston","pos":"#10 of 14"},{"metro":"Boston","pos":"#11 of 18"}]},{"count":1,"title":"The smallest store measured wins","sub":"dead last in size - and still the AI leader","items":[{"metro":"Dallas-Fort Worth","pos":"#15 of 15"}]}]}
[{"value":"80%","label":"of metros: the biggest store (by review count) is not the AI leader"},{"value":"92%","label":"of leaders do not hold their metro's highest Google rating"},{"value":"100%","label":"of leaders carry their own local name, not a national group brand"},{"value":"48%","label":"of leaders are based in the metro's busiest shopping city"}]
[{"group":"No national group brand appears in any metro leader's name","metros":"-"}]
{"groups":[{"key":"contested","count":18,"title":"Contested races","sub":"the runner-up is within striking distance","items":[{"metro":"Austin","ratio":1.0},{"metro":"Denver","ratio":1.01},{"metro":"Tampa","ratio":1.01},{"metro":"Miami","ratio":1.01},{"metro":"St. Louis","ratio":1.02},{"metro":"Boston","ratio":1.02},{"metro":"Baltimore","ratio":1.03},{"metro":"Charlotte","ratio":1.06},{"metro":"Orlando","ratio":1.07},{"metro":"Philadelphia","ratio":1.08},{"metro":"San Antonio","ratio":1.08},{"metro":"Houston","ratio":1.09},{"metro":"Atlanta","ratio":1.11},{"metro":"Riverside","ratio":1.12},{"metro":"Seattle","ratio":1.14},{"metro":"Phoenix","ratio":1.15},{"metro":"Detroit","ratio":1.18},{"metro":"Minneapolis-St. Paul","ratio":1.18}]},{"key":"clear","count":7,"title":"Clear leads","sub":"comfortably ahead, but not out of reach","items":[{"metro":"San Diego","ratio":1.22},{"metro":"Dallas-Fort Worth","ratio":1.22},{"metro":"San Francisco Bay Area","ratio":1.25},{"metro":"New York","ratio":1.35},{"metro":"Washington DC","ratio":1.6},{"metro":"Los Angeles","ratio":1.67},{"metro":"Chicago","ratio":1.81}]}],"scatter":[{"metro":"New York","full":"New York","dealer":"Nissan of Queens","leader":0.1822,"runner":0.1345,"searches":87500,"status":"held"},{"metro":"Los Angeles","full":"Los Angeles","dealer":"Nissan of Downtown LA","leader":0.2096,"runner":0.1255,"searches":40800,"status":"held"},{"metro":"Chicago","full":"Chicago","dealer":"Berman Nissan of Chicago","leader":0.2104,"runner":0.1165,"searches":30630,"status":"held"},{"metro":"Dallas","full":"Dallas-Fort Worth","dealer":"Metro Nissan of Dallas","leader":0.1278,"runner":0.1049,"searches":36040,"status":"held"},{"metro":"Houston","full":"Houston","dealer":"Mossy Nissan","leader":0.15,"runner":0.1379,"searches":39140,"status":"open"},{"metro":"Atlanta","full":"Atlanta","dealer":"Mike Rezi Nissan","leader":0.1866,"runner":0.168,"searches":22720,"status":"open"},{"metro":"Washington DC","full":"Washington DC","dealer":"Passport Nissan of Alexandria","leader":0.1771,"runner":0.1104,"searches":12030,"status":"held"},{"metro":"Miami","full":"Miami","dealer":"Palmetto57 Nissan","leader":0.1684,"runner":0.1661,"searches":21770,"status":"open"},{"metro":"Philadelphia","full":"Philadelphia","dealer":"Chapman Nissan","leader":0.1687,"runner":0.1565,"searches":18360,"status":"open"},{"metro":"Phoenix","full":"Phoenix","dealer":"Midway Nissan","leader":0.132,"runner":0.1149,"searches":19090,"status":"open"},{"metro":"Boston","full":"Boston","dealer":"Colonial Nissan Of Medford","leader":0.1607,"runner":0.1573,"searches":10390,"status":"open"},{"metro":"Riverside","full":"Riverside","dealer":"Fontana Nissan","leader":0.1077,"runner":0.0965,"searches":10270,"status":"open"},{"metro":"San Francisco Bay Area","full":"San Francisco Bay Area","dealer":"Premier Nissan of Fremont","leader":0.1901,"runner":0.1515,"searches":20000,"status":"held"},{"metro":"Detroit","full":"Detroit","dealer":"Tamaroff Nissan","leader":0.173,"runner":0.1472,"searches":8890,"status":"open"},{"metro":"Seattle","full":"Seattle","dealer":"Campbell Nissan of Edmonds","leader":0.1729,"runner":0.1523,"searches":16810,"status":"open"},{"metro":"Minneapolis","full":"Minneapolis-St. Paul","dealer":"Luther Nissan of Inver Grove","leader":0.1944,"runner":0.1644,"searches":14750,"status":"open"},{"metro":"Tampa","full":"Tampa","dealer":"Courtesy Nissan Of Tampa","leader":0.1379,"runner":0.1363,"searches":14470,"status":"open"},{"metro":"San Diego","full":"San Diego","dealer":"Mossy Nissan Kearny Mesa","leader":0.2093,"runner":0.1718,"searches":18120,"status":"held"},{"metro":"Denver","full":"Denver","dealer":"Tynan’s Nissan Aurora","leader":0.2181,"runner":0.2163,"searches":21070,"status":"open"},{"metro":"Orlando","full":"Orlando","dealer":"Universal Nissan","leader":0.2471,"runner":0.2316,"searches":16650,"status":"open"},{"metro":"Charlotte","full":"Charlotte","dealer":"East Charlotte Nissan","leader":0.2091,"runner":0.1964,"searches":15490,"status":"open"},{"metro":"Baltimore","full":"Baltimore","dealer":"Bob Bell Nissan","leader":0.1656,"runner":0.1603,"searches":12070,"status":"open"},{"metro":"St. Louis","full":"St. Louis","dealer":"St. Charles Nissan","leader":0.1852,"runner":0.1823,"searches":10290,"status":"open"},{"metro":"San Antonio","full":"San Antonio","dealer":"Gunn Nissan","leader":0.2129,"runner":0.1969,"searches":16560,"status":"open"},{"metro":"Austin","full":"Austin","dealer":"Group 1 Nissan Round Rock","leader":0.2437,"runner":0.2434,"searches":16280,"status":"open"}],"intro_html":"Today's leaderboard can still change. In 18 of 25 metros the runner-up is within striking distance of the leader, and no leader anywhere holds a dominant share. The groups below sort the metros by the size of the leader's margin.","scatter_head_html":"<strong>How close every race is.</strong> Each bubble is one metro, sized by market size. Up: the share of voice the leading dealer holds. Across: the share the runner-up holds. On the dashed line, the leader and runner-up hold equal shares. The tinted zone just above it is striking distance; the higher a bubble sits above the line, the larger the leader's margin. 5 of the 10 biggest markets are in the striking-distance zone.","callout_title":"Most answers do not put the leader first","callout_html":"Metro leaders are named in 74% of answers but are the first dealer named in only 36%. How often AI names a dealer and how early it names them are separate measurements, and this report keeps them separate."}
Strengthen your profiles on the sites AI reads most
dealerrater.com, nissanusa.com, carfax.com are among the ten most-cited sources in at least 80% of the metros we measured. Strengthen those first: keep your Google Business Profile complete and actively managed, claim your DealerRater page and respond to its reviews, and take part in the local discussions where shoppers ask about dealers. Then add the review sites AI cites in your own market (the source table above shows the national picture).
Build real pages for the nearby markets you want to win
AI recommends locally: in 23 of 25 metros, the dealers it names most are the ones closest to where the shopper asks. You cannot move the store, but you can make your relevance to each nearby market visible. Give every city you serve its own page with real substance: the inventory you deliver there, the drive time from that city, the services those customers use, and reviews from real customers who live there. Thin copies of one page do not help; give AI real local content to cite.
Work on service visibility separately
In 10 of 25 metros, the dealer AI recommends for service is not the dealer it recommends for buying. Winning the sales conversation does not carry over. Service needs its own footprint: service pages on your website, service reviews, and service questions answered on the same sites.
Publish content only your dealership can offer
Leaders and the field are tied on Google ratings (4.5★ to 4.5★), so generic claims about quality do not separate anyone. Give the sites AI reads specific, factual material to cite: your actual inventory, real customer reviews, and the services your store offers - and keep it current.
Know where you stand
Every metro here was measured with the same non-branded questions real shoppers ask, and 18 of 25 metros are a contested race. You cannot aim any of the steps above without knowing your own position: which questions you win, which you lose, and to whom. That is what a dealer-level measurement shows.
Edmunds, AutoTrader and KBB are cited in every measured metro, but they sit well below the dealers' own sites and local sources - KBB peaks at #10 (San Antonio); Edmunds and AutoTrader never crack a metro's ten most-cited.
