AI Visibility · Regional Scoreboard

Regional AI Report

Toyota dealers across Philadelphia

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

Executive summary

We measured how often AI assistants (ChatGPT, Google AI Mode, and Google AI Overview) name each of the region's 21 Toyota dealers when shoppers ask where to find, buy, and service - city by city. Here is who is winning AI visibility today, and where the gaps are.

Sloane Toyota of Philadelphia leads with 13% share of voice (of every time AI named a Toyota dealer in the region) and is named in 75% of all answers. Conicelli Toyota of Conshohocken and Ardmore Toyota follow. The clearest gap is Central City Toyota, which AI names less often than its nearby shopper demand would suggest.

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

The regional leaderboard

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

  1. Sloane Toyota of Philadelphia - 13% share of voice, named in 75% of answers, named first 26% of the time; strongest sub-market: Philadelphia.
  2. Conicelli Toyota of Conshohocken - 12% share of voice, named in 70% of answers, named first 25% of the time; strongest sub-market: Norristown.
  3. Ardmore Toyota - 9% share of voice, named in 54% of answers, named first 5% of the time; strongest sub-market: Philadelphia.
  4. Central City Toyota - 8% share of voice, named in 52% of answers, named first 25% of the time; strongest sub-market: Philadelphia.
  5. Team Toyota of Glen Mills - 6% share of voice, named in 39% of answers, named first 6% of the time; strongest sub-market: Wilmington.
  6. Toyota of Turnersville - 5% share of voice, named in 36% of answers, named first 2% of the time; strongest sub-market: Camden.
  7. Conicelli Toyota of Springfield - 5% share of voice, named in 39% of answers, named first 0% of the time; strongest sub-market: Chester.
  8. Team Toyota of Langhorne - 5% share of voice, named in 36% of answers, named first 4% of the time; strongest sub-market: Trenton.
  9. Faulkner Toyota Trevose - 5% share of voice, named in 35% of answers, named first 11% of the time; strongest sub-market: Philadelphia.
  10. Liberty Toyota - 4% share of voice, named in 27% of answers, named first 2% of the time; strongest sub-market: Trenton.
  11. Peruzzi Toyota - 4% share of voice, named in 32% of answers, named first 0% of the time; strongest sub-market: Norristown.
  12. Sloane Toyota of Glenside - 3% share of voice, named in 25% of answers, named first 0% of the time; strongest sub-market: Norristown.
  13. Holman Toyota - 3% share of voice, named in 18% of answers, named first 24% of the time; strongest sub-market: Cherry Hill.
  14. Team Toyota of Princeton - 3% share of voice, named in 11% of answers, named first 48% of the time; strongest sub-market: Trenton.
  15. Thompson Toyota - 3% share of voice, named in 24% of answers, named first 10% of the time; strongest sub-market: Norristown.
  16. Toyota of Runnemede - 2% share of voice, named in 14% of answers, named first 10% of the time; strongest sub-market: Cherry Hill.
  17. Newark ToyotaWorld - 2% share of voice, named in 9% of answers, named first 19% of the time; strongest sub-market: Wilmington.
  18. Price Toyota - 2% share of voice, named in 7% of answers, named first 68% of the time; strongest sub-market: Wilmington.
  19. Sloane Toyota of Malvern - 2% share of voice, named in 19% of answers, named first 12% of the time; strongest sub-market: Chester.
  20. Tri County Toyota - 2% share of voice, named in 16% of answers, named first 13% of the time; strongest sub-market: Norristown.

Who leads each sub-market, and where

  • Philadelphia (population 1,573,916, 29,800 searches per month) - AI names Sloane Toyota of Philadelphia most.
  • Trenton (population 89,620, 3,290 searches per month) - AI names Team Toyota of Princeton most.
  • Wilmington (population 70,898, 2,760 searches per month) - AI names Newark ToyotaWorld most.
  • Norristown (population 34,412, 1,280 searches per month) - AI names Conicelli Toyota of Conshohocken most.
  • Cherry Hill (population 70,475, 1,150 searches per month) - AI names Holman Toyota most.
  • Camden (population 76,119, 800 searches per month) - AI names Toyota of Turnersville most.
  • Chester (population 34,092, 680 searches per month) - AI names Team Toyota of Glen Mills most.

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

What the region is searching for

  • Toyota RAV4 - 7,010 searches per month
  • Toyota Highlander - 5,880 searches per month
  • Toyota Camry - 5,860 searches per month
  • Toyota Corolla - 4,790 searches per month
  • Toyota Tacoma - 3,370 searches per month
  • Toyota 4Runner - 3,260 searches per month
  • Toyota Sienna - 3,240 searches per month
  • Toyota Tundra - 2,180 searches per month
  • Toyota Corolla Cross - 2,110 searches per month
  • Toyota Prius - 2,060 searches per month

Top Sources

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

  • google.com - 18.2% of citations
  • dealerrater.com - 6.4% of citations
  • toyota.com - 6.1% of citations
  • cars.com - 4.4% of citations
  • reddit.com - 4.1% of citations
  • holmantoyota.com - 4.0% of citations
  • teamtoyotaglenmills.com - 3.1% of citations
  • yelp.com - 3.1% of citations
  • sloanetoyotaphiladelphia.com - 3.0% of citations
  • cargurus.com - 2.8% of citations
  • carfax.com - 2.7% of citations
  • kbb.com - 2.4% of citations

Regional Insights

AI gives shoppers a short list of 3 to 7 dealers. AI answers with actual dealership names 99.8% of the time and names only 3 to 7 dealers per answer. A dealer not on that list loses the shopper to one that is.

The most Google reviews does not mean the most AI recommendations. Team Toyota of Princeton has the region's most Google reviews (5,476) yet ranks 14th of 21 on this leaderboard, while Conicelli Toyota of Conshohocken (1,885 reviews) ranks 2nd.

AI's information comes from review sites and forums, not dealer websites. dealerrater.com alone is cited more often than any dealer website.

Dealer ratings run far lower on Yelp than on Google. The tracked dealers average 4.6 stars on Google but only 2.5 on Yelp, and 4 of 6 score below 3.0 there. Yelp is one of AI's cited sources in this report, so a weak Yelp profile feeds directly into what AI reads.

Philadelphia holds most of the demand - and no dealer has a firm lead. Philadelphia and Trenton together hold 83% of the region's shopping demand, yet in Philadelphia, the busiest market, the most-recommended dealer (Sloane Toyota of Philadelphia) takes only 15% of AI's dealer mentions. Each of the 7 local areas has a different dealer that AI names most.

Regional footprint

Who leads each sub-market, and where

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

National footprint

The 25 metros, coast to coast

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

Market demand

Where the nation shops

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

Market demand

What the region is searching for

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

Metro leaderboard

The National 25 - who AI recommends, metro by metro

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

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

Regional leaderboard

The regional leaderboard

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

#DealerStrongest sub-marketAI visibilityShare of voiceNamed first
1Sloane Toyota of PhiladelphiaPhiladelphia75%
13%
26%
2Conicelli Toyota of ConshohockenNorristown70%
12%
25%
3Ardmore ToyotaPhiladelphia54%
9%
5%
4Central City ToyotaPhiladelphia52%
8%
25%
5Team Toyota of Glen MillsWilmington39%
6%
6%
6Toyota of TurnersvilleCamden36%
5%
2%
7Conicelli Toyota of SpringfieldChester39%
5%
0%
8Team Toyota of LanghorneTrenton36%
5%
4%
9Faulkner Toyota TrevosePhiladelphia35%
5%
11%
10Liberty ToyotaTrenton27%
4%
2%
11Peruzzi ToyotaNorristown32%
4%
0%
12Sloane Toyota of GlensideNorristown25%
3%
0%
13Holman ToyotaCherry Hill18%
3%
24%
14Team Toyota of PrincetonTrenton11%
3%
48%
15Thompson ToyotaNorristown24%
3%
10%
16Toyota of RunnemedeCherry Hill14%
3%
10%
17Newark ToyotaWorldWilmington9%
2%
19%
18Price ToyotaWilmington7%
2%
68%
19Sloane Toyota of MalvernChester19%
2%
12%
20Tri County ToyotaNorristown16%
2%
13%
Showing the top 20 of the 21 dealers measured; every dealer is measured and scored the same way.
Winning patterns

The winners are not who you'd expect

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

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

Dealer scorecard

Dealer ranking scorecard

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

AI sources

Top Sources

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

AI sources

What AI reads, nationally

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

Market opportunity

Most metros are still up for grabs

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

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

Leader's share of voice

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

Runner-up's share of voice

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

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

Share of Voice vs Share of Demand

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

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

Share of Voice

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

Share of Demand

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

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

Regional Insights

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

National insights

National insights

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

Recommended actions

What To Do

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

Methodology

Methodology

We asked non-dealer branded questions - for example "best Toyota dealer near [city]", "Toyota RAV4 inventory near [city]", and "where to service a Toyota near [city]" - against ChatGPT, Google AI Mode, and Google AI Overview, city by city, and recorded which dealers each answer named and in what order. Dealers are never named in the questions, so every dealer in the region is measured the same way and the leaderboard reflects who AI brings up on its own. Search demand comes from Google search volume for in-market shopping terms by model and city; it weights each city and is not a sales figure. Every confirmed Toyota dealership in the region's measured footprint is tracked and scored - 21 dealers in this report. The leaderboard and scorecard tables show the top 20 by share of voice.

Position is reported only as "named first". How often AI names a dealer and how early it names them are separate measurements, and this report keeps them separate. Because the weighting follows measured demand, Philadelphia and Trenton together carry about 83% of the regional score; every city's own results are shown in the sub-market table. Search demand: Google search volume. AI visibility: live queries to ChatGPT, Google AI Mode, and Google AI Overview. Dealer ratings: Google Business Profile and Yelp.

Next step · For your dealership

Custom Dealer Reports

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

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

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

Get a Custom Report
Custom Dealer Report · sample data

Most-mentioned dealers in your market

How often AI names each dealer across this month's shopping prompts
Your Dealership
54%
Competitor A
41%
Competitor B
33%
Competitor C
27%
FIND
72/100
BUY
41/100
SERVICE
58/100
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Toyota
Philadelphia
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[{"title":"AI gives shoppers a short list of 3 to 7 dealers","html":"AI answers with actual dealership names 99.8% of the time and names only 3 to 7 dealers per answer. A dealer not on that list loses the shopper to one that is."},{"title":"The most Google reviews does not mean the most AI recommendations","html":"Team Toyota of Princeton has the region's most Google reviews (5,476) yet ranks 14th of 21 on this leaderboard, while Conicelli Toyota of Conshohocken (1,885 reviews) ranks 2nd."},{"title":"AI's information comes from review sites and forums, not dealer websites","html":"dealerrater.com alone is cited more often than any dealer website."},{"title":"Dealer ratings run far lower on Yelp than on Google","html":"The tracked dealers average 4.6 stars on Google but only 2.5 on Yelp, and 4 of 6 score below 3.0 there. Yelp is one of AI's cited sources in this report, so a weak Yelp profile feeds directly into what AI reads."},{"title":"Philadelphia holds most of the demand - and no dealer has a firm lead","html":"Philadelphia and Trenton together hold 83% of the region's shopping demand, yet in Philadelphia, the busiest market, the most-recommended dealer (Sloane Toyota of Philadelphia) takes only 15% of AI's dealer mentions. Each of the 7 local areas has a different dealer that AI names most."}]
Bubble area is proportional to monthly search demand; the number keys each sub-market to the table. Small dots mark the tracked dealers' locations. Map © OpenStreetMap contributors.
Regional