In every one of America's 25 biggest metro areas, AI assistants already have a favorite Lexus dealer. This report names all 25. In 16 of 25 metros the AI leader is not the metro's biggest store by review count, and the leaders' average Google rating (4.7★) is no better than the field's (4.7★). 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 22 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
64% of metros: the biggest store is not the AI leader
52% of leaders do not hold their metro's highest Google rating
88% 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 Lexus 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 - New Country Lexus of Great Neck (based in Great Neck, NY) leads with 18% share of voice; a near-tie - the runner-up's share is within 1 point, named in 74% of answers, named first 19% of the time. Google 4.8★, Yelp 2.8★.
Los Angeles - Longo Lexus (based in El Monte, CA) leads with 15% share of voice; a near-tie - the runner-up's share is within 1 point, named in 62% of answers, named first 43% of the time. Google 4.8★, Yelp 4.2★.
Chicago - McGrath Lexus of Chicago (based in Chicago, IL) leads with 17% share of voice, named in 79% of answers, named first 53% of the time. Google 4.7★, Yelp 3.7★.
Dallas-Fort Worth - Park Place Lexus Grapevine (based in Grapevine, TX) leads with 32% share of voice, named in 93% of answers, named first 21% of the time. Google 4.8★, Yelp 5.0★.
Houston - Westside Lexus (based in Houston, TX) leads with 28% share of voice; a near-tie - the runner-up's share is within 1 point, named in 94% of answers, named first 55% of the time. Google 4.7★, Yelp 2.8★.
Atlanta - Nalley Lexus Roswell (based in Roswell, GA) leads with 23% share of voice; a near-tie - the runner-up's share is within 1 point, named in 87% of answers, named first 24% of the time. Google 4.7★, Yelp 2.8★.
Washington DC - Lindsay Lexus of Alexandria (based in Alexandria, VA) leads with 31% share of voice, named in 83% of answers, named first 55% of the time. Google 4.9★, Yelp 3.6★.
Miami - Lexus of North Miami (based in North Miami, FL) leads with 26% share of voice, named in 90% of answers, named first 46% of the time. Google 4.5★, Yelp 2.6★.
Philadelphia - Wilkie Lexus (based in Haverford, PA) leads with 20% share of voice, named in 77% of answers, named first 54% of the time. Google 4.7★, Yelp 3.6★.
Phoenix - Earnhardt Lexus (based in Phoenix, AZ) leads with 22% share of voice; a near-tie - the runner-up's share is within 1 point, named in 85% of answers, named first 38% of the time. Google 4.8★, Yelp 4.1★.
Boston - Lexus of Watertown (based in Watertown, MA) leads with 27% share of voice, named in 97% of answers, named first 77% of the time. Google 4.8★, Yelp 3.6★.
Riverside - Crown Lexus (based in Ontario, CA) leads with 20% share of voice, named in 53% of answers, named first 46% of the time. Google 4.6★, Yelp 3.8★.
San Francisco Bay Area - Lexus Stevens Creek (based in San Jose, CA) leads with 20% share of voice, named in 62% of answers, named first 41% of the time. Google 4.8★, Yelp 4.2★.
Detroit - Meade Lexus of Southfield (based in Southfield, MI) leads with 35% share of voice, named in 90% of answers, named first 43% of the time. Google 4.6★, Yelp 2.6★.
Seattle - Lexus of Seattle (based in Lynnwood, WA) leads with 35% share of voice, named in 94% of answers, named first 53% of the time. Google 4.6★, Yelp 3.9★.
Minneapolis-St. Paul - Lexus of Maplewood (based in Maplewood, MN) leads with 51% share of voice, named in 100% of answers, named first 40% of the time. Google 4.7★, Yelp 2.8★.
Tampa - Lexus of Tampa Bay (based in Tampa, FL) leads with 34% share of voice, named in 90% of answers, named first 44% of the time. Google 4.6★, Yelp 2.9★.
San Diego - Lexus San Diego (based in San Diego, CA) leads with 30% share of voice, named in 93% of answers, named first 71% of the time. Google 4.7★, Yelp 3.9★.
Denver - Stevinson Lexus of Lakewood (based in Lakewood, CO) leads with 36% share of voice; a near-tie - the runner-up's share is within 1 point, named in 96% of answers, named first 54% of the time. Google 4.7★, Yelp 3.1★.
Orlando - Lexus of Orlando (based in Orlando, FL) leads with 50% share of voice; a near-tie - the runner-up's share is within 1 point, named in 100% of answers, named first 82% of the time. Google 4.6★, Yelp 3.1★.
Charlotte - Hendrick Lexus Northlake (part of the Hendrick group) (based in Charlotte, NC) leads with 50% share of voice; a near-tie - the runner-up's share is within 1 point, named in 99% of answers, named first 53% of the time. Google 4.9★, Yelp 3.7★.
Baltimore - Len Stoler Lexus (based in Owings Mills, MD) leads with 29% share of voice, named in 85% of answers, named first 23% of the time. Google 4.7★, Yelp 5.0★.
St. Louis - Spirit Lexus (based in St. Louis, MO) leads with 54% share of voice, named in 98% of answers, named first 37% of the time. Google 4.6★, Yelp 2.7★.
San Antonio - North Park Lexus at Dominion (based in San Antonio, TX) leads with 51% share of voice, named in 99% of answers, named first 25% of the time. Google 4.8★, Yelp 4.4★.
Austin - Lexus of Austin (based in Austin, TX) leads with 51% share of voice, named in 99% of answers, named first 80% of the time. Google 4.6★, Yelp 3.3★.
Monthly brand and model searches across each metro's measured cities - the demand AI answers compete for:
New York - 48,760 searches per month
Los Angeles - 29,860 searches per month
Houston - 21,630 searches per month
Dallas-Fort Worth - 20,150 searches per month
San Francisco Bay Area - 15,400 searches per month
Chicago - 14,190 searches per month
Atlanta - 13,730 searches per month
Miami - 10,800 searches per month
San Diego - 10,750 searches per month
Austin - 9,170 searches per month
Seattle - 9,110 searches per month
Denver - 9,060 searches per month
Phoenix - 8,260 searches per month
Washington DC - 8,070 searches per month
Charlotte - 7,930 searches per month
San Antonio - 7,540 searches per month
Philadelphia - 7,280 searches per month
Tampa - 6,930 searches per month
Riverside - 6,660 searches per month
Orlando - 6,270 searches per month
Minneapolis-St. Paul - 6,030 searches per month
Boston - 5,340 searches per month
Baltimore - 5,330 searches per month
St. Louis - 3,660 searches per month
Detroit - 3,390 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 - 12.2% of citations
carfax.com - 6.8% of citations
cars.com - 6.2% of citations
caredge.com - 4.8% of citations
cargurus.com - 4.5% of citations
kbb.com - 4.1% of citations
edmunds.com - 3.6% of citations
autotrader.com - 2.9% of citations
yelp.com - 2.6% of citations
reddit.com - 1.9% of citations
lexus.com - 1.8% of citations
capitalone.com - 1.5% of citations
facebook.com - 0.9% of citations
connectcdk.com - 0.4% of citations
National insights
AI recommends locally. In 14 of 16 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 11 miles from the city center; the typical measured store sits 17.
Different dealers win sales and service. In 11 of 25 metros, the dealer AI recommends for service is not the dealer it recommends for buying. In Los Angeles, Lexus of Woodland Hills wins the purchase questions while Longo Lexus wins service.
Yelp is a weak spot for some leaders.8 of the 25 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.
DealerRater ratings vary far more than Google ratings. The metro leaders are tied on Google, but on DealerRater - a review site AI reads in nearly every measured metro - their ratings run from 4.0★ to 5.0★. The widest gap: North Park Lexus at Dominion in San Antonio holds 4.0★ on DealerRater against 4.8★ on Google.
Group and local names win in proportion. Group-branded stores are 2% of the measured field and 4% of the metro leaders - neither side over-performs.
What To Do
Strengthen your profiles on the sites AI reads most. dealerrater.com, cars.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 14 of 16 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 11 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 (4.7★ to 4.7★), 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 22 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
Great Neck, NY
New Country Lexus of Great Neck
18%*
74%
19%
4.8★
2.8★
2
Los Angeles
El Monte, CA
Longo Lexus
15%*
62%
43%
4.8★
4.2★
3
Chicago
Chicago, IL
McGrath Lexus of Chicago
17%
79%
53%
4.7★
3.7★
4
Dallas-Fort Worth
Grapevine, TX
Park Place Lexus Grapevine
32%
93%
21%
4.8★
5.0★
5
Houston
Houston, TX
Westside Lexus
28%*
94%
55%
4.7★
2.8★
6
Atlanta
Roswell, GA
Nalley Lexus Roswell
23%*
87%
24%
4.7★
2.8★
7
Washington DC
Alexandria, VA
Lindsay Lexus of Alexandria
31%
83%
55%
4.9★
3.6★
8
Miami
North Miami, FL
Lexus of North Miami
26%
90%
46%
4.5★
2.6★
9
Philadelphia
Haverford, PA
Wilkie Lexus
20%
77%
54%
4.7★
3.6★
10
Phoenix
Phoenix, AZ
Earnhardt Lexus
22%*
85%
38%
4.8★
4.1★
11
Boston
Watertown, MA
Lexus of Watertown
27%
97%
77%
4.8★
3.6★
12
Riverside
Ontario, CA
Crown Lexus
20%
53%
46%
4.6★
3.8★
13
San Francisco Bay Area
San Jose, CA
Lexus Stevens Creek
20%
62%
41%
4.8★
4.2★
14
Detroit
Southfield, MI
Meade Lexus of Southfield
35%
90%
43%
4.6★
2.6★
15
Seattle
Lynnwood, WA
Lexus of Seattle
35%
94%
53%
4.6★
3.9★
16
Minneapolis-St. Paul
Maplewood, MN
Lexus of Maplewood
51%
100%
40%
4.7★
2.8★
17
Tampa
Tampa, FL
Lexus of Tampa Bay
34%
90%
44%
4.6★
2.9★
18
San Diego
San Diego, CA
Lexus San Diego
30%
93%
71%
4.7★
3.9★
19
Denver
Lakewood, CO
Stevinson Lexus of Lakewood
36%*
96%
54%
4.7★
3.1★
20
Orlando
Orlando, FL
Lexus of Orlando
50%*
100%
82%
4.6★
3.1★
21
Charlotte
Charlotte, NC
Hendrick Lexus Northlake · Hendrick
50%*
99%
53%
4.9★
3.7★
22
Baltimore
Owings Mills, MD
Len Stoler Lexus
29%
85%
23%
4.7★
5.0★
23
St. Louis
St. Louis, MO
Spirit Lexus
54%
98%
37%
4.6★
2.7★
24
San Antonio
San Antonio, TX
North Park Lexus at Dominion
51%
99%
25%
4.8★
4.4★
25
Austin
Austin, TX
Lexus of Austin
51%
99%
80%
4.6★
3.3★
A share marked * is a near-tie: the runner-up's share is within 1 point, and the ranking follows the unrounded scores. In 8 of the 25 metros the lead is this close.
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 Lexus - 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 Lexus 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. A dealer counts as part of a dealer group only when the group's name is in the dealership's own name, so a store a group owns but brands locally counts as local. Review counts decide which dealers we measure; they never enter the score. 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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{"metros":[{"rank":1,"metro":"New York","leader":"New Country Lexus of Great Neck","searches":48760,"lat":40.71,"lng":-74.01},{"rank":2,"metro":"Los Angeles","leader":"Longo Lexus","searches":29860,"lat":34.05,"lng":-118.24},{"rank":3,"metro":"Chicago","leader":"McGrath Lexus of Chicago","searches":14190,"lat":41.88,"lng":-87.63},{"rank":4,"metro":"Dallas-Fort Worth","leader":"Park Place Lexus Grapevine","searches":20150,"lat":32.78,"lng":-96.8},{"rank":5,"metro":"Houston","leader":"Westside Lexus","searches":21630,"lat":29.76,"lng":-95.37},{"rank":6,"metro":"Atlanta","leader":"Nalley Lexus Roswell","searches":13730,"lat":33.75,"lng":-84.39},{"rank":7,"metro":"Washington DC","leader":"Lindsay Lexus of Alexandria","searches":8070,"lat":38.91,"lng":-77.04},{"rank":8,"metro":"Miami","leader":"Lexus of North Miami","searches":10800,"lat":25.77,"lng":-80.19},{"rank":9,"metro":"Philadelphia","leader":"Wilkie Lexus","searches":7280,"lat":39.95,"lng":-75.17},{"rank":10,"metro":"Phoenix","leader":"Earnhardt Lexus","searches":8260,"lat":33.45,"lng":-112.07},{"rank":11,"metro":"Boston","leader":"Lexus of Watertown","searches":5340,"lat":42.36,"lng":-71.06},{"rank":12,"metro":"Riverside","leader":"Crown Lexus","searches":6660,"lat":33.95,"lng":-117.4},{"rank":13,"metro":"San Francisco Bay Area","leader":"Lexus Stevens Creek","searches":15400,"lat":37.77,"lng":-122.42},{"rank":14,"metro":"Detroit","leader":"Meade Lexus of Southfield","searches":3390,"lat":42.33,"lng":-83.05},{"rank":15,"metro":"Seattle","leader":"Lexus of Seattle","searches":9110,"lat":47.61,"lng":-122.33},{"rank":16,"metro":"Minneapolis-St. Paul","leader":"Lexus of Maplewood","searches":6030,"lat":44.98,"lng":-93.27},{"rank":17,"metro":"Tampa","leader":"Lexus of Tampa Bay","searches":6930,"lat":27.95,"lng":-82.46},{"rank":18,"metro":"San Diego","leader":"Lexus San Diego","searches":10750,"lat":32.72,"lng":-117.16},{"rank":19,"metro":"Denver","leader":"Stevinson Lexus of Lakewood","searches":9060,"lat":39.74,"lng":-104.99},{"rank":20,"metro":"Orlando","leader":"Lexus of Orlando","searches":6270,"lat":28.54,"lng":-81.38},{"rank":21,"metro":"Charlotte","leader":"Hendrick Lexus Northlake","searches":7930,"lat":35.23,"lng":-80.84},{"rank":22,"metro":"Baltimore","leader":"Len Stoler Lexus","searches":5330,"lat":39.29,"lng":-76.61},{"rank":23,"metro":"St. Louis","leader":"Spirit Lexus","searches":3660,"lat":38.63,"lng":-90.2},{"rank":24,"metro":"San Antonio","leader":"North Park Lexus at Dominion","searches":7540,"lat":29.42,"lng":-98.49},{"rank":25,"metro":"Austin","leader":"Lexus of Austin","searches":9170,"lat":30.27,"lng":-97.74}]}
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Grapevine","group":null,"sov":0.3246,"visibility":0.9272,"first_rate":0.2144,"google":4.8,"dealerrater":4.8,"yelp":5.0},{"rank":5,"metro":"Houston","anchor":"Houston, TX","home":"Houston, TX","near_tie":true,"leader":"Westside Lexus","group":null,"sov":0.2819,"visibility":0.9445,"first_rate":0.5513,"google":4.7,"dealerrater":4.8,"yelp":2.8},{"rank":6,"metro":"Atlanta","anchor":"Atlanta, GA","home":"Roswell, GA","near_tie":true,"leader":"Nalley Lexus Roswell","group":null,"sov":0.2344,"visibility":0.8738,"first_rate":0.2362,"google":4.7,"dealerrater":4.9,"yelp":2.8},{"rank":7,"metro":"Washington DC","anchor":"Washington, DC","home":"Alexandria, VA","near_tie":false,"leader":"Lindsay Lexus of Alexandria","group":null,"sov":0.3068,"visibility":0.8293,"first_rate":0.5456,"google":4.9,"dealerrater":4.8,"yelp":3.6},{"rank":8,"metro":"Miami","anchor":"Miami, FL","home":"North Miami, FL","near_tie":false,"leader":"Lexus of North Miami","group":null,"sov":0.2604,"visibility":0.8986,"first_rate":0.4597,"google":4.5,"dealerrater":4.6,"yelp":2.6},{"rank":9,"metro":"Philadelphia","anchor":"Philadelphia, PA","home":"Haverford, PA","near_tie":false,"leader":"Wilkie Lexus","group":null,"sov":0.2027,"visibility":0.7703,"first_rate":0.5405,"google":4.7,"dealerrater":null,"yelp":3.6},{"rank":10,"metro":"Phoenix","anchor":"Phoenix, AZ","home":"Phoenix, AZ","near_tie":true,"leader":"Earnhardt Lexus","group":null,"sov":0.2217,"visibility":0.8482,"first_rate":0.3805,"google":4.8,"dealerrater":4.9,"yelp":4.1},{"rank":11,"metro":"Boston","anchor":"Boston, MA","home":"Watertown, MA","near_tie":false,"leader":"Lexus of Watertown","group":null,"sov":0.2748,"visibility":0.9744,"first_rate":0.7681,"google":4.8,"dealerrater":5.0,"yelp":3.6},{"rank":12,"metro":"Riverside","anchor":"Riverside, CA","home":"Ontario, CA","near_tie":false,"leader":"Crown Lexus","group":null,"sov":0.2024,"visibility":0.5272,"first_rate":0.4597,"google":4.6,"dealerrater":4.7,"yelp":3.8},{"rank":13,"metro":"San Francisco Bay Area","anchor":"San Francisco, CA","home":"San Jose, CA","near_tie":false,"leader":"Lexus Stevens Creek","group":null,"sov":0.2013,"visibility":0.6161,"first_rate":0.4101,"google":4.8,"dealerrater":4.9,"yelp":4.2},{"rank":14,"metro":"Detroit","anchor":"Detroit, MI","home":"Southfield, MI","near_tie":false,"leader":"Meade Lexus of Southfield","group":null,"sov":0.3537,"visibility":0.8992,"first_rate":0.4283,"google":4.6,"dealerrater":null,"yelp":2.6},{"rank":15,"metro":"Seattle","anchor":"Seattle, WA","home":"Lynnwood, WA","near_tie":false,"leader":"Lexus of Seattle","group":null,"sov":0.3526,"visibility":0.9358,"first_rate":0.5318,"google":4.6,"dealerrater":4.1,"yelp":3.9},{"rank":16,"metro":"Minneapolis-St. Paul","anchor":"Minneapolis, MN","home":"Maplewood, MN","near_tie":false,"leader":"Lexus of Maplewood","group":null,"sov":0.5087,"visibility":0.9983,"first_rate":0.4048,"google":4.7,"dealerrater":4.6,"yelp":2.8},{"rank":17,"metro":"Tampa","anchor":"Tampa, FL","home":"Tampa, FL","near_tie":false,"leader":"Lexus of Tampa Bay","group":null,"sov":0.3363,"visibility":0.9038,"first_rate":0.441,"google":4.6,"dealerrater":4.5,"yelp":2.9},{"rank":18,"metro":"San Diego","anchor":"San Diego, CA","home":"San Diego, CA","near_tie":false,"leader":"Lexus San Diego","group":null,"sov":0.2987,"visibility":0.9328,"first_rate":0.7091,"google":4.7,"dealerrater":4.9,"yelp":3.9},{"rank":19,"metro":"Denver","anchor":"Denver, CO","home":"Lakewood, CO","near_tie":true,"leader":"Stevinson Lexus of Lakewood","group":null,"sov":0.355,"visibility":0.958,"first_rate":0.5353,"google":4.7,"dealerrater":4.8,"yelp":3.1},{"rank":20,"metro":"Orlando","anchor":"Orlando, FL","home":"Orlando, FL","near_tie":true,"leader":"Lexus of Orlando","group":null,"sov":0.5033,"visibility":0.9977,"first_rate":0.8235,"google":4.6,"dealerrater":4.9,"yelp":3.1},{"rank":21,"metro":"Charlotte","anchor":"Charlotte, NC","home":"Charlotte, NC","near_tie":true,"leader":"Hendrick Lexus Northlake","group":"Hendrick","sov":0.501,"visibility":0.9852,"first_rate":0.5308,"google":4.9,"dealerrater":5.0,"yelp":3.7},{"rank":22,"metro":"Baltimore","anchor":"Baltimore, MD","home":"Owings Mills, MD","near_tie":false,"leader":"Len Stoler Lexus","group":null,"sov":0.2944,"visibility":0.8502,"first_rate":0.2266,"google":4.7,"dealerrater":null,"yelp":5.0},{"rank":23,"metro":"St. Louis","anchor":"St. Louis, MO","home":"St. Louis, MO","near_tie":false,"leader":"Spirit Lexus","group":null,"sov":0.5362,"visibility":0.9803,"first_rate":0.3743,"google":4.6,"dealerrater":null,"yelp":2.7},{"rank":24,"metro":"San Antonio","anchor":"San Antonio, TX","home":"San Antonio, TX","near_tie":false,"leader":"North Park Lexus at Dominion","group":null,"sov":0.5091,"visibility":0.9926,"first_rate":0.2484,"google":4.8,"dealerrater":4.0,"yelp":4.4},{"rank":25,"metro":"Austin","anchor":"Austin, TX","home":"Austin, TX","near_tie":false,"leader":"Lexus of Austin","group":null,"sov":0.5127,"visibility":0.9928,"first_rate":0.8007,"google":4.6,"dealerrater":4.7,"yelp":3.3}]
[{"title":"AI recommends locally","html":"In <strong>14 of 16</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>11 miles</strong> from the city center; the typical measured store sits 17."},{"title":"Different dealers win sales and service","html":"In <strong>11 of 25</strong> metros, the dealer AI recommends for service is not the dealer it recommends for buying. In Los Angeles, <strong>Lexus of Woodland Hills</strong> wins the purchase questions while <strong>Longo Lexus</strong> wins service."},{"title":"Yelp is a weak spot for some leaders","html":"<strong>8 of the 25</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":"DealerRater ratings vary far more than Google ratings","html":"The metro leaders are tied on Google, but on DealerRater - a review site AI reads in nearly every measured metro - their ratings run from <strong>4.0★ to 5.0★</strong>. The widest gap: North Park Lexus at Dominion in San Antonio holds 4.0★ on DealerRater against 4.8★ on Google."},{"title":"Group and local names win in proportion","html":"Group-branded stores are 2% of the measured field and 4% of the metro leaders - neither side over-performs."}]
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{"pattern_title":"The biggest store does not always win","pattern_html":"In 16 of 25 metros, the dealer AI recommends most is not the metro's biggest store by Google review count. The most extreme example: Wilkie Lexus leads Philadelphia while ranking #7 of 7 stores by review count.","fine_html":"","buckets":[{"count":9,"title":"The metro's biggest store wins","sub":"size predicted the winner","items":[{"metro":"Orlando","pos":"#1 of 2"},{"metro":"Charlotte","pos":"#1 of 2"},{"metro":"St. Louis","pos":"#1 of 2"},{"metro":"Austin","pos":"#1 of 2"},{"metro":"Washington DC","pos":"#1 of 4"},{"metro":"Tampa","pos":"#1 of 4"},{"metro":"Atlanta","pos":"#1 of 5"},{"metro":"Phoenix","pos":"#1 of 5"},{"metro":"Los Angeles","pos":"#1 of 12"}]},{"count":8,"title":"A top-half store wins","sub":"big, but not the biggest","items":[{"metro":"Detroit","pos":"#2 of 3"},{"metro":"Denver","pos":"#2 of 3"},{"metro":"Miami","pos":"#3 of 5"},{"metro":"Chicago","pos":"#5 of 9"},{"metro":"Dallas-Fort Worth","pos":"#2 of 4"},{"metro":"San Francisco Bay Area","pos":"#4 of 8"},{"metro":"Riverside","pos":"#3 of 8"},{"metro":"New York","pos":"#4 of 15"}]},{"count":4,"title":"A bottom-half store wins","sub":"the winner is a smaller store","items":[{"metro":"Boston","pos":"#4 of 5"},{"metro":"Baltimore","pos":"#4 of 5"},{"metro":"Houston","pos":"#3 of 4"},{"metro":"San Diego","pos":"#3 of 4"}]},{"count":4,"title":"The smallest store measured wins","sub":"dead last in size - and still the AI leader","items":[{"metro":"Philadelphia","pos":"#7 of 7"},{"metro":"Seattle","pos":"#3 of 3"},{"metro":"Minneapolis-St. Paul","pos":"#2 of 2"},{"metro":"San Antonio","pos":"#2 of 2"}]}]}
[{"value":"64%","label":"of metros: the biggest store (by review count) is not the AI leader"},{"value":"52%","label":"of leaders do not hold their metro's highest Google rating"},{"value":"96%","label":"of leaders carry their own local name, not a national group brand"},{"value":"40%","label":"of leaders are based in the metro's busiest shopping city"}]
[]
{"groups":[{"key":"contested","count":22,"title":"Contested races","sub":"the runner-up is within striking distance","items":[{"metro":"New York","ratio":1.0},{"metro":"Charlotte","ratio":1.0},{"metro":"Atlanta","ratio":1.01},{"metro":"Denver","ratio":1.01},{"metro":"Orlando","ratio":1.01},{"metro":"Houston","ratio":1.02},{"metro":"Minneapolis-St. Paul","ratio":1.04},{"metro":"San Antonio","ratio":1.04},{"metro":"Los Angeles","ratio":1.04},{"metro":"Phoenix","ratio":1.05},{"metro":"Seattle","ratio":1.05},{"metro":"Austin","ratio":1.05},{"metro":"Baltimore","ratio":1.05},{"metro":"San Diego","ratio":1.05},{"metro":"San Francisco Bay Area","ratio":1.06},{"metro":"Detroit","ratio":1.07},{"metro":"Riverside","ratio":1.07},{"metro":"Philadelphia","ratio":1.08},{"metro":"Chicago","ratio":1.1},{"metro":"Washington DC","ratio":1.16},{"metro":"St. Louis","ratio":1.16},{"metro":"Miami","ratio":1.17}]},{"key":"clear","count":3,"title":"Clear leads","sub":"comfortably ahead, but not out of reach","items":[{"metro":"Tampa","ratio":1.23},{"metro":"Dallas-Fort Worth","ratio":1.26},{"metro":"Boston","ratio":1.28}]}],"scatter":[{"metro":"New York","full":"New York","dealer":"New Country Lexus of Great Neck","leader":0.1785,"runner":0.1785,"searches":48760,"status":"open"},{"metro":"Los Angeles","full":"Los Angeles","dealer":"Longo Lexus","leader":0.1476,"runner":0.1415,"searches":29860,"status":"open"},{"metro":"Chicago","full":"Chicago","dealer":"McGrath Lexus of Chicago","leader":0.168,"runner":0.1531,"searches":14190,"status":"open"},{"metro":"Dallas","full":"Dallas-Fort Worth","dealer":"Park Place Lexus Grapevine","leader":0.3246,"runner":0.2583,"searches":20150,"status":"held"},{"metro":"Houston","full":"Houston","dealer":"Westside Lexus","leader":0.2819,"runner":0.276,"searches":21630,"status":"open"},{"metro":"Atlanta","full":"Atlanta","dealer":"Nalley Lexus Roswell","leader":0.2344,"runner":0.2331,"searches":13730,"status":"open"},{"metro":"Washington DC","full":"Washington DC","dealer":"Lindsay Lexus of Alexandria","leader":0.3068,"runner":0.2656,"searches":8070,"status":"open"},{"metro":"Miami","full":"Miami","dealer":"Lexus of North Miami","leader":0.2604,"runner":0.2217,"searches":10800,"status":"open"},{"metro":"Philadelphia","full":"Philadelphia","dealer":"Wilkie Lexus","leader":0.2027,"runner":0.1882,"searches":7280,"status":"open"},{"metro":"Phoenix","full":"Phoenix","dealer":"Earnhardt Lexus","leader":0.2217,"runner":0.212,"searches":8260,"status":"open"},{"metro":"Boston","full":"Boston","dealer":"Lexus of Watertown","leader":0.2748,"runner":0.2154,"searches":5340,"status":"held"},{"metro":"Riverside","full":"Riverside","dealer":"Crown Lexus","leader":0.2024,"runner":0.1888,"searches":6660,"status":"open"},{"metro":"San Francisco Bay Area","full":"San Francisco Bay Area","dealer":"Lexus Stevens Creek","leader":0.2013,"runner":0.19,"searches":15400,"status":"open"},{"metro":"Detroit","full":"Detroit","dealer":"Meade Lexus of Southfield","leader":0.3537,"runner":0.33,"searches":3390,"status":"open"},{"metro":"Seattle","full":"Seattle","dealer":"Lexus of Seattle","leader":0.3526,"runner":0.3368,"searches":9110,"status":"open"},{"metro":"Minneapolis","full":"Minneapolis-St. Paul","dealer":"Lexus of Maplewood","leader":0.5087,"runner":0.4913,"searches":6030,"status":"open"},{"metro":"Tampa","full":"Tampa","dealer":"Lexus of Tampa Bay","leader":0.3363,"runner":0.2737,"searches":6930,"status":"held"},{"metro":"San Diego","full":"San Diego","dealer":"Lexus San Diego","leader":0.2987,"runner":0.2833,"searches":10750,"status":"open"},{"metro":"Denver","full":"Denver","dealer":"Stevinson Lexus of Lakewood","leader":0.355,"runner":0.3517,"searches":9060,"status":"open"},{"metro":"Orlando","full":"Orlando","dealer":"Lexus of Orlando","leader":0.5033,"runner":0.4967,"searches":6270,"status":"open"},{"metro":"Charlotte","full":"Charlotte","dealer":"Hendrick Lexus Northlake","leader":0.501,"runner":0.499,"searches":7930,"status":"open"},{"metro":"Baltimore","full":"Baltimore","dealer":"Len Stoler Lexus","leader":0.2944,"runner":0.2794,"searches":5330,"status":"open"},{"metro":"St. Louis","full":"St. Louis","dealer":"Spirit Lexus","leader":0.5362,"runner":0.4638,"searches":3660,"status":"open"},{"metro":"San Antonio","full":"San Antonio","dealer":"North Park Lexus at Dominion","leader":0.5091,"runner":0.4909,"searches":7540,"status":"open"},{"metro":"Austin","full":"Austin","dealer":"Lexus of Austin","leader":0.5127,"runner":0.4873,"searches":9170,"status":"open"}],"intro_html":"Today's leaderboard can still change. In 22 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. 9 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 87% of answers but are the first dealer named in only 47%. 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, cars.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 14 of 16 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 11 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 (4.7★ to 4.7★), 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 22 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 - Edmunds peaks at #2 (Los Angeles); AutoTrader peaks at #7 (Charlotte); KBB peaks at #5 (Orlando).
