AI Visibility · National Scoreboard

Chevrolet National Report

Chevrolet dealers across America's top 25 metros

National report · Top 25 US metro areas
AI
VISIBILITY
Find Buy Service
Prepared August 2026Prepared by CarGenius
Overview

Executive summary

In every one of America's 25 biggest metro areas, AI assistants already have a favorite Chevrolet 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 (4.4★) is no better than the field's (4.4★). Store size and Google ratings do not decide who AI recommends. And with 17 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
  • 84% of leaders do not hold their metro's highest Google rating
  • 68% 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 Chevrolet 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.

  1. New York - Sunrise Chevrolet (based in Forest Hills, NY) leads with 16% share of voice, named in 59% of answers, named first 31% of the time. Google 4.2★, Yelp 2.4★.
  2. Los Angeles - Felix Chevrolet (based in Los Angeles, CA) leads with 15% share of voice; a near-tie - the runner-up's share rounds to the same number, named in 77% of answers, named first 16% of the time. Google 4.1★, Yelp 3.2★.
  3. Chicago - PHILLIPS CHEVROLET INC (based in Frankfort, IL) leads with 15% share of voice, named in 50% of answers, named first 63% of the time. Google 4.8★, Yelp not rated.
  4. Dallas-Fort Worth - Classic Chevrolet (based in Grapevine, TX) leads with 17% share of voice, named in 57% of answers, named first 52% of the time. Google 4.7★, Yelp 2.9★.
  5. Houston - Mac Haik Chevrolet (based in Houston, TX) leads with 17% share of voice, named in 83% of answers, named first 40% of the time. Google 4.6★, Yelp 5.0★.
  6. Atlanta - Jim Ellis Chevrolet (based in Atlanta, GA) leads with 20% share of voice, named in 91% of answers, named first 64% of the time. Google 4.2★, Yelp 2.7★.
  7. Washington DC - Pohanka Chevrolet (based in Chantilly, VA) leads with 17% share of voice, named in 60% of answers, named first 40% of the time. Google 4.6★, Yelp 3.6★.
  8. Miami - Bomnin Chevrolet Dadeland (based in Miami, FL) leads with 17% share of voice, named in 73% of answers, named first 36% of the time. Google 4.8★, Yelp 1.9★.
  9. Philadelphia - Hessert Chevrolet (based in Philadelphia, PA) leads with 16% share of voice, named in 70% of answers, named first 65% of the time. Google 4.4★, Yelp not rated.
  10. Phoenix - Courtesy Chevrolet (based in Phoenix, AZ) leads with 17% share of voice, named in 74% of answers, named first 33% of the time. Google 4.5★, Yelp 2.3★.
  11. Boston - Quirk Chevrolet (based in Braintree, MA) leads with 17% share of voice, named in 66% of answers, named first 28% of the time. Google 4.5★, Yelp 2.6★.
  12. Riverside - Riverside Chevrolet (based in Riverside, CA) leads with 10% share of voice, named in 35% of answers, named first 57% of the time. Google 4.6★, Yelp 3.2★.
  13. San Francisco Bay Area - Stevens Creek Chevrolet (based in San Jose, CA) leads with 15% share of voice; a near-tie - the runner-up's share rounds to the same number, named in 46% of answers, named first 16% of the time. Google 4.0★, Yelp 3.4★.
  14. Detroit - Jefferson Chevrolet (based in Detroit, MI) leads with 12% share of voice, named in 46% of answers, named first 48% of the time. Google 4.3★, Yelp 2.7★.
  15. Seattle - Pierre Chevrolet (based in Seattle, WA) leads with 16% share of voice, named in 69% of answers, named first 51% of the time. Google 4.0★, Yelp 2.8★.
  16. Minneapolis-St. Paul - Rosedale Chevrolet (based in Roseville, MN) leads with 18% share of voice, named in 68% of answers, named first 29% of the time. Google 4.5★, Yelp 2.9★.
  17. Tampa - Ferman Chevrolet (based in Tampa, FL) leads with 15% share of voice, named in 61% of answers, named first 43% of the time. Google 4.2★, Yelp 2.2★.
  18. San Diego - Kearny Mesa Chevrolet (based in San Diego, CA) leads with 21% share of voice; a near-tie - the runner-up's share rounds to the same number, named in 87% of answers, named first 37% of the time. Google 4.1★, Yelp 3.0★.
  19. Denver - Emich Chevrolet (based in Lakewood, CO) leads with 13% share of voice, named in 56% of answers, named first 25% of the time. Google 4.2★, Yelp 2.4★.
  20. Orlando - Starling Chevrolet (based in Orlando, FL) leads with 21% share of voice, named in 89% of answers, named first 70% of the time. Google 4.7★, Yelp 2.4★.
  21. Charlotte - Rick Hendrick City Chevrolet (part of the Hendrick group) (based in Charlotte, NC) leads with 22% share of voice, named in 86% of answers, named first 61% of the time. Google 4.7★, Yelp 3.2★.
  22. Baltimore - Bob Bell Chevrolet (based in Baltimore, MD) leads with 19% share of voice, named in 78% of answers, named first 27% of the time. Google 4.4★, Yelp 2.3★.
  23. St. Louis - Jim Butler Chevrolet (based in Fenton, MO) leads with 16% share of voice, named in 67% of answers, named first 33% of the time. Google 4.3★, Yelp 2.3★.
  24. San Antonio - Gunn Chevrolet (based in Selma, TX) leads with 19% share of voice, named in 79% of answers, named first 26% of the time. Google 4.7★, Yelp 5.0★.
  25. Austin - Capitol Chevrolet (based in Austin, TX) leads with 31% share of voice, named in 84% of answers, named first 65% of the time. Google 4.4★, Yelp 2.2★.

Bubble size = monthly brand and model searches across the metro's measured cities. Map © OpenStreetMap contributors.

Where the nation shops

Monthly brand and model searches across each metro's measured cities - the demand AI answers compete for:

  • New York - 25,450 searches per month
  • Miami - 11,180 searches per month
  • Houston - 11,170 searches per month
  • Los Angeles - 10,960 searches per month
  • Dallas-Fort Worth - 10,040 searches per month
  • Chicago - 7,290 searches per month
  • San Francisco Bay Area - 5,850 searches per month
  • Atlanta - 5,610 searches per month
  • Orlando - 4,770 searches per month
  • Phoenix - 4,700 searches per month
  • Austin - 4,700 searches per month
  • San Diego - 4,450 searches per month
  • Denver - 4,290 searches per month
  • San Antonio - 4,190 searches per month
  • Charlotte - 4,070 searches per month
  • Philadelphia - 3,980 searches per month
  • Tampa - 3,850 searches per month
  • Seattle - 3,650 searches per month
  • Minneapolis-St. Paul - 3,530 searches per month
  • Washington DC - 3,490 searches per month
  • Detroit - 3,370 searches per month
  • Baltimore - 2,990 searches per month
  • Boston - 2,840 searches per month
  • Riverside - 2,460 searches per month
  • St. Louis - 2,040 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
  • cars.com - 4.7% of citations
  • carfax.com - 4.6% of citations
  • caredge.com - 4.2% of citations
  • cargurus.com - 4.2% of citations
  • yelp.com - 4.1% of citations
  • google.com - 3.9% of citations
  • reddit.com - 3.9% of citations
  • kbb.com - 2.9% of citations
  • autotrader.com - 1.9% of citations
  • edmunds.com - 1.3% of citations
  • facebook.com - 0.9% of citations
  • capitalone.com - 0.9% of citations
  • chevrolet.com - 0.7% of citations
  • timmoranchevy.com - 0.3% of citations

National insights

AI recommends locally. In 24 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 8 miles from the city center; the typical measured store sits 19.

Different dealers win sales and service. In 16 of 25 metros, the dealer AI recommends for service is not the dealer it recommends for buying. In New York, Sunrise Chevrolet wins the purchase questions while Major World Chevrolet wins service.

Yelp is a weak spot for some leaders. 15 of the 23 metro leaders with a Yelp listing carry a rating below 3 stars. The lowest: Bomnin Chevrolet Dadeland in Miami at 1.9★ on Yelp against 4.8★ on Google. 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 3.1★ to 5.0★. The widest gap: Stevens Creek Chevrolet in San Francisco Bay Area holds 3.1★ on DealerRater against 4.0★ on Google.

Even the leading dealers are absent from many answers. Across the measured metros, even the leading dealer is named in only 68% of AI answers on average - the rest name someone else. AI visibility is contested everywhere, including at the top.

What To Do

Build real pages for the nearby markets you want to win. AI recommends locally: in 24 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 16 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 (4.4★ to 4.4★), 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 17 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.

Claim and work your Yelp listing. 15 of the 23 leading dealers we could rate score below 3.0 on Yelp, while those same dealers average 4.4★ on Google. AI assistants read both. Claim the listing, reply to the reviews already there, keep your hours and services current, and ask satisfied customers to post where shoppers are already looking.

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.

#MetroDealer cityAI leaderShare of voiceAI visibilityNamed firstGoogleYelp
1New YorkForest Hills, NYSunrise Chevrolet
16%
59%31%4.2★2.4★
2Los AngelesLos Angeles, CAFelix Chevrolet
15%*
77%16%4.1★3.2★
3ChicagoFrankfort, ILPHILLIPS CHEVROLET INC
15%
50%63%4.8★-
4Dallas-Fort WorthGrapevine, TXClassic Chevrolet
17%
57%52%4.7★2.9★
5HoustonHouston, TXMac Haik Chevrolet
17%
83%40%4.6★5.0★
6AtlantaAtlanta, GAJim Ellis Chevrolet
21%
91%64%4.2★2.7★
7Washington DCChantilly, VAPohanka Chevrolet
17%
60%40%4.6★3.6★
8MiamiMiami, FLBomnin Chevrolet Dadeland
17%
73%36%4.8★1.9★
9PhiladelphiaPhiladelphia, PAHessert Chevrolet
16%
70%65%4.4★-
10PhoenixPhoenix, AZCourtesy Chevrolet
17%
74%33%4.5★2.3★
11BostonBraintree, MAQuirk Chevrolet
17%
66%28%4.5★2.6★
12RiversideRiverside, CARiverside Chevrolet
10%
35%57%4.6★3.2★
13San Francisco Bay AreaSan Jose, CAStevens Creek Chevrolet
15%*
46%16%4.0★3.4★
14DetroitDetroit, MIJefferson Chevrolet
12%
46%48%4.3★2.7★
15SeattleSeattle, WAPierre Chevrolet
16%
69%51%4.0★2.8★
16Minneapolis-St. PaulRoseville, MNRosedale Chevrolet
18%
68%29%4.5★2.9★
17TampaTampa, FLFerman Chevrolet
15%
61%43%4.2★2.2★
18San DiegoSan Diego, CAKearny Mesa Chevrolet
21%*
87%37%4.1★3.0★
19DenverLakewood, COEmich Chevrolet
13%
56%25%4.2★2.4★
20OrlandoOrlando, FLStarling Chevrolet
21%
89%70%4.7★2.4★
21CharlotteCharlotte, NCRick Hendrick City Chevrolet · Hendrick
22%
86%61%4.7★3.2★
22BaltimoreBaltimore, MDBob Bell Chevrolet
19%
78%27%4.4★2.3★
23St. LouisFenton, MOJim Butler Chevrolet
16%
67%33%4.3★2.3★
24San AntonioSelma, TXGunn Chevrolet
19%
79%26%4.7★5.0★
25AustinAustin, TXCapitol Chevrolet
31%
84%65%4.4★2.2★
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 distance Held - the leader is comfortably ahead Bubble size = market size (monthly searches)

Leader's share of voice

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

Runner-up's share of voice

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

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

Share of Voice vs Share of Demand

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

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

Share of Voice

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

Share of Demand

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

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

Regional Insights

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

National insights

National insights

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

Recommended actions

What To Do

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

Methodology

Methodology

We asked non-dealer branded questions - where to find, buy, and service a Chevrolet - 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 Chevrolet 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.

Next step · For your dealership

Custom Dealer Reports

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

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

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

Get a Custom Report
Custom Dealer Report · sample data

Most-mentioned dealers in your market

How often AI names each dealer across this month's shopping prompts
Your Dealership
54%
Competitor A
41%
Competitor B
33%
Competitor C
27%
FIND
72/100
BUY
41/100
SERVICE
58/100
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United States
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[{"title":"AI recommends locally","html":"In <strong>24 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>8 miles</strong> from the city center; the typical measured store sits 19."},{"title":"Different dealers win sales and service","html":"In <strong>16 of 25</strong> metros, the dealer AI recommends for service is not the dealer it recommends for buying. In New York, <strong>Sunrise Chevrolet</strong> wins the purchase questions while <strong>Major World Chevrolet</strong> wins service."},{"title":"Yelp is a weak spot for some leaders","html":"<strong>15 of the 23</strong> metro leaders with a Yelp listing carry a rating below 3 stars. The lowest: Bomnin Chevrolet Dadeland in Miami at <strong>1.9★ on Yelp</strong> against 4.8★ on Google. 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>3.1★ to 5.0★</strong>. The widest gap: Stevens Creek Chevrolet in San Francisco Bay Area holds 3.1★ on DealerRater against 4.0★ on Google."},{"title":"Even the leading dealers are absent from many answers","html":"Across the measured metros, even the leading dealer is named in only <strong>68%</strong> of AI answers on average - the rest name someone else. AI visibility is contested everywhere, including at the top."}]
Bubble size = monthly brand and model searches across the metro's measured cities. Map © OpenStreetMap contributors.
National
[{"metro":"New York","searches":25450},{"metro":"Miami","searches":11180},{"metro":"Houston","searches":11170},{"metro":"Los Angeles","searches":10960},{"metro":"Dallas-Fort Worth","searches":10040},{"metro":"Chicago","searches":7290},{"metro":"San Francisco Bay Area","searches":5850},{"metro":"Atlanta","searches":5610},{"metro":"Orlando","searches":4770},{"metro":"Phoenix","searches":4700},{"metro":"Austin","searches":4700},{"metro":"San Diego","searches":4450},{"metro":"Denver","searches":4290},{"metro":"San Antonio","searches":4190},{"metro":"Charlotte","searches":4070},{"metro":"Philadelphia","searches":3980},{"metro":"Tampa","searches":3850},{"metro":"Seattle","searches":3650},{"metro":"Minneapolis-St. Paul","searches":3530},{"metro":"Washington DC","searches":3490},{"metro":"Detroit","searches":3370},{"metro":"Baltimore","searches":2990},{"metro":"Boston","searches":2840},{"metro":"Riverside","searches":2460},{"metro":"St. Louis","searches":2040}]
{"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: Jefferson Chevrolet leads Detroit while ranking #34 of 35 stores by review count.","fine_html":"<strong>The ratings tie.</strong> Metro leaders average 4.4★ on Google against a 4.4★ 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":9,"title":"The metro's biggest store wins","sub":"size predicted the winner","items":[{"metro":"Austin","pos":"#1 of 9"},{"metro":"Miami","pos":"#1 of 13"},{"metro":"Orlando","pos":"#1 of 13"},{"metro":"Phoenix","pos":"#1 of 14"},{"metro":"St. Louis","pos":"#1 of 17"},{"metro":"Charlotte","pos":"#1 of 21"},{"metro":"Boston","pos":"#1 of 22"},{"metro":"Dallas-Fort Worth","pos":"#1 of 24"},{"metro":"Chicago","pos":"#1 of 46"}]},{"count":13,"title":"A top-half store wins","sub":"big, but not the biggest","items":[{"metro":"San Diego","pos":"#4 of 7"},{"metro":"Baltimore","pos":"#10 of 20"},{"metro":"Atlanta","pos":"#9 of 20"},{"metro":"Minneapolis-St. Paul","pos":"#8 of 21"},{"metro":"Washington DC","pos":"#6 of 19"},{"metro":"Los Angeles","pos":"#7 of 25"},{"metro":"San Antonio","pos":"#2 of 10"},{"metro":"New York","pos":"#6 of 32"},{"metro":"San Francisco Bay Area","pos":"#2 of 12"},{"metro":"Houston","pos":"#3 of 20"},{"metro":"Philadelphia","pos":"#4 of 29"},{"metro":"Riverside","pos":"#3 of 23"},{"metro":"Tampa","pos":"#2 of 16"}]},{"count":3,"title":"A bottom-half store wins","sub":"the winner is a smaller store","items":[{"metro":"Detroit","pos":"#34 of 35"},{"metro":"Denver","pos":"#11 of 15"},{"metro":"Seattle","pos":"#15 of 23"}]}]}
[{"value":"64%","label":"of metros: the biggest store (by review count) is not the AI leader"},{"value":"84%","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":"60%","label":"of leaders are based in the metro's busiest shopping city"}]
[{"group":"Hendrick","metros":"1 metro"}]
{"groups":[{"key":"contested","count":17,"title":"Contested races","sub":"the runner-up is within striking distance","items":[{"metro":"San Diego","ratio":1.0},{"metro":"Denver","ratio":1.02},{"metro":"Austin","ratio":1.03},{"metro":"Boston","ratio":1.03},{"metro":"Los Angeles","ratio":1.04},{"metro":"Tampa","ratio":1.04},{"metro":"San Francisco Bay Area","ratio":1.05},{"metro":"Washington DC","ratio":1.06},{"metro":"Baltimore","ratio":1.07},{"metro":"Seattle","ratio":1.09},{"metro":"Phoenix","ratio":1.1},{"metro":"Riverside","ratio":1.13},{"metro":"Charlotte","ratio":1.15},{"metro":"Minneapolis-St. Paul","ratio":1.15},{"metro":"Detroit","ratio":1.15},{"metro":"Orlando","ratio":1.16},{"metro":"Chicago","ratio":1.19}]},{"key":"clear","count":8,"title":"Clear leads","sub":"comfortably ahead, but not out of reach","items":[{"metro":"Miami","ratio":1.21},{"metro":"New York","ratio":1.23},{"metro":"St. Louis","ratio":1.24},{"metro":"Houston","ratio":1.3},{"metro":"San Antonio","ratio":1.38},{"metro":"Philadelphia","ratio":1.4},{"metro":"Dallas-Fort Worth","ratio":1.44},{"metro":"Atlanta","ratio":1.54}]}],"scatter":[{"metro":"New York","full":"New York","dealer":"Sunrise Chevrolet","leader":0.1647,"runner":0.1336,"searches":25450,"status":"held"},{"metro":"Los Angeles","full":"Los Angeles","dealer":"Felix Chevrolet","leader":0.1526,"runner":0.1474,"searches":10960,"status":"open"},{"metro":"Chicago","full":"Chicago","dealer":"PHILLIPS CHEVROLET INC","leader":0.1463,"runner":0.1231,"searches":7290,"status":"open"},{"metro":"Dallas","full":"Dallas-Fort Worth","dealer":"Classic Chevrolet","leader":0.1663,"runner":0.1152,"searches":10040,"status":"held"},{"metro":"Houston","full":"Houston","dealer":"Mac Haik Chevrolet","leader":0.1702,"runner":0.1306,"searches":11170,"status":"held"},{"metro":"Atlanta","full":"Atlanta","dealer":"Jim Ellis Chevrolet","leader":0.205,"runner":0.1328,"searches":5610,"status":"held"},{"metro":"Washington DC","full":"Washington DC","dealer":"Pohanka Chevrolet","leader":0.1674,"runner":0.1586,"searches":3490,"status":"open"},{"metro":"Miami","full":"Miami","dealer":"Bomnin Chevrolet Dadeland","leader":0.1658,"runner":0.1375,"searches":11180,"status":"held"},{"metro":"Philadelphia","full":"Philadelphia","dealer":"Hessert Chevrolet","leader":0.1585,"runner":0.1133,"searches":3980,"status":"held"},{"metro":"Phoenix","full":"Phoenix","dealer":"Courtesy Chevrolet","leader":0.1673,"runner":0.1521,"searches":4700,"status":"open"},{"metro":"Boston","full":"Boston","dealer":"Quirk Chevrolet","leader":0.1656,"runner":0.1608,"searches":2840,"status":"open"},{"metro":"Riverside","full":"Riverside","dealer":"Riverside Chevrolet","leader":0.0975,"runner":0.086,"searches":2460,"status":"open"},{"metro":"San Francisco Bay Area","full":"San Francisco Bay Area","dealer":"Stevens Creek Chevrolet","leader":0.1546,"runner":0.1473,"searches":5850,"status":"open"},{"metro":"Detroit","full":"Detroit","dealer":"Jefferson Chevrolet","leader":0.1237,"runner":0.1079,"searches":3370,"status":"open"},{"metro":"Seattle","full":"Seattle","dealer":"Pierre Chevrolet","leader":0.1631,"runner":0.1501,"searches":3650,"status":"open"},{"metro":"Minneapolis","full":"Minneapolis-St. Paul","dealer":"Rosedale Chevrolet","leader":0.1792,"runner":0.1565,"searches":3530,"status":"open"},{"metro":"Tampa","full":"Tampa","dealer":"Ferman Chevrolet","leader":0.1497,"runner":0.1437,"searches":3850,"status":"open"},{"metro":"San Diego","full":"San Diego","dealer":"Kearny Mesa Chevrolet","leader":0.2094,"runner":0.2091,"searches":4450,"status":"open"},{"metro":"Denver","full":"Denver","dealer":"Emich Chevrolet","leader":0.1253,"runner":0.1232,"searches":4290,"status":"open"},{"metro":"Orlando","full":"Orlando","dealer":"Starling Chevrolet","leader":0.2133,"runner":0.1835,"searches":4770,"status":"open"},{"metro":"Charlotte","full":"Charlotte","dealer":"Rick Hendrick City Chevrolet","leader":0.2171,"runner":0.1896,"searches":4070,"status":"open"},{"metro":"Baltimore","full":"Baltimore","dealer":"Bob Bell Chevrolet","leader":0.1914,"runner":0.1797,"searches":2990,"status":"open"},{"metro":"St. Louis","full":"St. Louis","dealer":"Jim Butler Chevrolet","leader":0.1645,"runner":0.1327,"searches":2040,"status":"held"},{"metro":"San Antonio","full":"San Antonio","dealer":"Gunn Chevrolet","leader":0.1854,"runner":0.1347,"searches":4190,"status":"held"},{"metro":"Austin","full":"Austin","dealer":"Capitol Chevrolet","leader":0.3105,"runner":0.3028,"searches":4700,"status":"open"}],"intro_html":"Today's leaderboard can still change. In 17 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 68% of answers but are the first dealer named in only 42%. How often AI names a dealer and how early it names them are separate measurements, and this report keeps them separate."}

Build real pages for the nearby markets you want to win

AI recommends locally: in 24 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 16 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 (4.4★ to 4.4★), 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 17 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.

Claim and work your Yelp listing

15 of the 23 leading dealers we could rate score below 3.0 on Yelp, while those same dealers average 4.4★ on Google. AI assistants read both. Claim the listing, reply to the reviews already there, keep your hours and services current, and ask satisfied customers to post where shoppers are already looking.

Edmunds, AutoTrader and KBB are cited in every measured metro, but they sit well below the dealers' own sites and local sources - AutoTrader peaks at #8 (Miami); KBB peaks at #3 (Seattle); Edmunds never cracks a metro's ten most-cited.