Used Car Retailers: AI Market Discovery Index

Tracking how AI platforms recommend used car retailers. This public AI Market Discovery Index is updated monthly since July 2026.

Mark Huntley, J.D.
By Mark Huntley, J.D.Growth Strategist & AI Discovery Analyst
6 minutes read

Benchmark Summary

CarMax led the Used Car Retailers benchmark in September 2026 with 35.9% valid recommendation coverage, ahead of Carvana's 32.8% coverage by 3.1 percentage points. The largest coverage decline came from Hertz Car Sales, which fell from 11.5% in July 2026 to 2.9% in September 2026, a drop beyond normal month-to-month variation. The largest coverage increase came from Group 1 Automotive, rising from 2.5% in July 2026 to 5.2% in September 2026.

The month showed significant movement across the category. Beyond Hertz Car Sales, three additional brands moved beyond normal variation: CarMax, Carvana, and Enterprise Car Sales all declined. CarMax fell from 41.5% coverage in July 2026 to 35.9% in September 2026, declining in each of the two months since the baseline. The benchmark began with 800 prompt-surface observations in each month and produced 576 qualified observations in September 2026 after qualification.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Sep 2026

0%15%30%45%60%Jul 2026Aug 2026Sep 2026
  • CarMax35.9%
  • Carvana32.8%
  • AutoNation21.7%
  • Lithia Motors / Driveway18.9%
  • EchoPark (Sonic Automotive)8.8%
  • Penske Automotive6.2%
  • Group 1 Automotive5.2%
  • Enterprise Car Sales5.0%
  • DriveTime4.2%
  • Hertz Car Sales2.9%

Current Benchmark at a Glance

Measure

Jul 2026

Sep 2026

Movement

Qualified benchmark observations

593

576

Down 17

Tracked brands

10

10

No change

Qualified surface breadth

6

6

No change

Recommendation-shaped answer share

36.4%

30.9%

Down 5.5 points

Valid recommendation shortlist share

40.5%

39.6%

Down 0.9 points

Leader by valid recommendation coverage

CarMax (41.5%)

CarMax (35.9%)

Same brand, coverage down

Qualified surface breadth counts the six canonical AI/search surface families with at least one qualified observation: ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. The benchmark maintained full breadth across both months. August 2026, the intermediate month, held steady at 598 qualified observations with full surface breadth.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Used Car Retailers

Research Scope and Qualification

The public benchmark is narrower than the raw collection universe by design. The funnel below shows how observations were qualified.

Research stage

Jul 2026

Sep 2026

What it represents

Source prompt-surface observations

800

800

Total prompts collected across AI/search surfaces

Unique questions

496

514

Distinct questions after removing duplicates

Brand / competitor mentions

800

800

Prompts mentioning at least one tracked brand

Relevant observations

778

776

Observations relevant to the used car retail category

Irrelevant observations

22

24

Observations not relevant to the category

Qualified benchmark observations

593

576

Public denominator for brand-level metrics

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Brand-level percentages use the qualified observations as the public denominator, not the raw collection. See the AI Market Discovery Methodology for the complete qualification process.

Current Brand Standings

The table below shows the primary current-month benchmark view, sorted by valid recommendation coverage.

Brand

Presence rate

Valid recommendation coverage

Top-three rate

Rank-one rate

Net sentiment

CarMax

62.5%

35.9%

29.2%

15.4%

0.80

Carvana

49.6%

32.8%

27.3%

13.4%

0.79

AutoNation

79.3%

21.7%

16.3%

0.9%

0.40

Lithia Motors / Driveway

69.4%

18.9%

14.1%

5.4%

0.63

EchoPark (Sonic Automotive)

20.3%

8.8%

2.9%

0.7%

0.54

Penske Automotive

52.1%

6.2%

6.1%

0.0%

0.24

Group 1 Automotive

41.5%

5.2%

0.0%

0.0%

0.24

Enterprise Car Sales

6.9%

5.0%

2.3%

0.5%

0.88

DriveTime

6.1%

4.2%

3.3%

0.0%

0.83

Hertz Car Sales

4.9%

2.9%

2.3%

0.2%

0.71

How to Read the Standings

  • Presence rate: share of qualified observations where the brand appears at all in the AI answer.
  • Valid recommendation coverage: share of qualified observations where the brand receives a clear, actionable recommendation.
  • Top-three rate: share of qualified observations where the brand appears in the top three recommended options.
  • Rank-one rate: share of qualified observations where the brand is the single top recommendation.
  • Net sentiment: positive minus negative sentiment on brand mentions, on a scale from -1 to 1.

For formulas and denominator rules, see AI Market Discovery Metric Definitions.

Recommendation Coverage Movement

Brand

Jul 2026

Sep 2026

Movement since baseline

AutoNation

25.0%

21.7%

Down 3.3 points

CarMax

41.5%

35.9%

Down 5.6 points

Carvana

38.3%

32.8%

Down 5.5 points

DriveTime

6.2%

4.2%

Down 2.0 points

EchoPark (Sonic Automotive)

8.1%

8.8%

Up 0.7 points

Enterprise Car Sales

9.8%

5.0%

Down 4.8 points

Group 1 Automotive

2.5%

5.2%

Up 2.7 points

Hertz Car Sales

11.5%

2.9%

Down 8.6 points

Lithia Motors / Driveway

19.2%

18.9%

Down 0.3 points

Penske Automotive

4.4%

6.2%

Up 1.8 points

Largest Increase: Group 1 Automotive

Group 1 Automotive rose from 2.5% valid recommendation coverage in July 2026 to 5.2% in September 2026, a gain of 2.7 percentage points beyond normal variation. The brand's presence rate rose from 36.9% to 41.5%. Its top-three rate held at 0.0% in both months, meaning the increase came from broader recommendation presence rather than higher placement. Group 1 Automotive peaked at 7.2% in August 2026 before settling at 5.2% in September.

Largest Decline: Hertz Car Sales

Hertz Car Sales fell from 11.5% valid recommendation coverage in July 2026 to 2.9% in September 2026, a drop of 8.6 percentage points beyond normal variation. The brand declined in each of the two months since baseline. Its presence rate fell from 13.2% to 4.9%, and its recommendation count dropped from 68 valid recommendations in July 2026 to 17 in September 2026. The August-to-September decline of 4.0 points also moved beyond normal variation.

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Additional Significant Declines

CarMax fell from 41.5% valid recommendation coverage in July 2026 to 35.9% in September 2026, a drop of 5.6 percentage points beyond normal variation. The category leader declined in each of the two months since baseline. Carvana followed a similar path, falling from 38.3% in July 2026 to 32.8% in September 2026, a decline of 5.5 points beyond normal variation. Enterprise Car Sales declined from 9.8% to 5.0% over the same period, a drop of 4.8 points beyond normal variation.

Category Leader: CarMax

CarMax remained the category leader with 35.9% valid recommendation coverage in September 2026, though this reflected a continued decline from 41.5% in July 2026. The gap to second-place Carvana narrowed to 3.1 percentage points in September, compared with 3.2 points in July. CarMax retained the highest top-three rate at 29.2% and the highest rank-one rate at 15.4%.

Stable Brands

Five brands moved within normal month-to-month variation. EchoPark (Sonic Automotive) rose from 8.1% to 8.8% coverage, and Penske Automotive climbed from 4.4% to 6.2%. AutoNation eased from 25.0% to 21.7%, DriveTime declined from 6.2% to 4.2%, and Lithia Motors / Driveway held nearly flat from 19.2% to 18.9%. Penske Automotive reached 8.9% in August 2026 before settling at 6.2% in September.

Recommendation Placement Snapshot

Coverage alone does not show how prominently a brand is recommended. The placement table below shows where leading brands appear within answers.

Brand

Sep 2026 top-three rate

Sep 2026 rank-one rate

Jul 2026 top-three rate

Jul 2026 rank-one rate

CarMax

29.2%

15.4%

31.9%

16.9%

Carvana

27.3%

13.4%

30.5%

14.3%

AutoNation

16.3%

0.9%

16.0%

1.0%

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CarMax's rank-one rate declined from 16.9% in July 2026 to 15.4% in September 2026, while Carvana's fell from 14.3% to 13.4%. AutoNation's top-three rate rose from 16.0% to 16.3% even as its rank-one rate slipped from 1.0% to 0.9%. Similar coverage levels can still hide very different first-position rates, as seen in the gap between CarMax's 15.4% and AutoNation's 0.9% rank-one performance.

Buyer-Intent Distribution

The qualified observations in both months fell into the Brand Recommendation class, representing shoppers seeking direct brand suggestions.

Buyer-intent class

Jul 2026

Sep 2026

Brand Recommendation

593

576

Pricing & Value

0

0

Multi-Brand Comparison

0

0

Total qualified observations

593

576

The current public series measures only the Brand Recommendation class of discovery and does not yet contain qualified observations in the Pricing & Value or Multi-Brand Comparison classes.

Historical Measurement Record

This is an evergreen benchmark URL. New measurements are added to the same report.

Measurement

Qualified observations

Coverage leader

Leader coverage

Largest coverage movement

Jul 2026

593

CarMax

41.5%

Baseline month

Aug 2026

598

CarMax

37.6%

Group 1 Automotive up 4.7 points; Hertz Car Sales down 4.6 points

Sep 2026

576

CarMax

35.9%

Hertz Car Sales down 8.6 points from baseline

Evidence and Source Layer

The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and, where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure:

  • Market share or sales attribution
  • Every possible AI response to a given query
  • Organic-search ranking positions
  • Social media mention volume
  • Private or sponsored channels
  • Causality from a metric movement alone

About This Benchmark

The LLM Authority Index AI Market Discovery Index tracks how AI systems discover, mention, and recommend brands across the six canonical AI/search surface families. Each monthly measurement captures a snapshot of the AI information environment for a vertical, using consistent qualification rules so results are comparable over time.

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