How AI Search Is Recommending Transportation Services: Monthly Trends

Executive Summary

Sherpa Auto Transport remains the category's recommendation coverage leader in October 2026, but its lead over the field is narrowing. Its valid recommendation coverage stands at 70.1%, down 4.4 points from the July baseline of 74.5% and down 3.7 points from September's 73.8%, both movements within the benchmark's normal range. Its lead over second-place AmeriFreight is 9.0 points this month.

The clearest movement this month sits with the decliners. AmeriFreight's coverage fell from 68.0% in July to 61.1% in October, the largest baseline-to-current decline of any brand, a drop of 6.9 points large enough to register as significant. Nexus Auto Transport posted the sharpest single-brand decline across the series, falling from 34.5% in July to 21.5% in October, down 13.0 points and extending a three-month downward streak. SGT Auto Transport also registered as a significant decliner, down 11.3 points from 57.7% in July to 46.4% in October, its third consecutive monthly decline.

Against the prior month, the picture is mixed. AmeriFreight fell 4.6 points from September's 65.7%, SGT Auto Transport fell 5.4 points from 51.8%, and Nexus Auto Transport fell 4.7 points from 26.2%. RoadRunner Auto Transport moved to 21.2% in October from 19.6% in September, its third consecutive monthly gain, though the movement remains within normal variation cumulatively. Ship a Car Direct edged up to 13.3% from 11.4%, also within normal range.

The most notable pattern in the series is the narrowing gap between Nexus Auto Transport and RoadRunner Auto Transport, from 17.9 points in July to 0.3 points in October, as the two brands moved in opposite directions every month across the window.

Each monthly run begins with 800 prompt-surface observations (450 unique questions in July, 468 in October) across the benchmark's defined AI/search surface universe. Of those, 799 mentioned a tracked brand or competitor in July, and 800 did so in October; 715 were relevant and 84 were irrelevant in July, and 741 relevant and 59 irrelevant in October. The public metrics use 525 qualified observations (July) and 548 (October) that survive both qualification stages.

Key Findings

AI Response Inconsistency Alerts

Questions This Section Answers

• Which brands had conflicting regulatory or pricing claims across AI platforms this month?
• Where did AI platforms disagree on FMCSA USDOT and MC numbers for the same auto transport brand?
• What pricing contradictions appeared in AI answers about car shipping costs and deposit policies?

The benchmark detected 17 critical or high-severity factual inconsistencies across five AI platforms: ChatGPT, Copilot, Gemini, Google AI Mode, and Google AI Overviews. The conflicts concentrate in regulatory identifiers and pricing claims, with the largest cluster tied to a single brand.

Sherpa Auto Transport

Nine high-severity inconsistencies were identified, spanning ChatGPT, Copilot, Gemini, and Google AI Mode.

Regarding the company's FMCSA USDOT number, ChatGPT stated USDOT 4085166 when asked "Is Sherpa Auto Transport legitimate," citing the FMCSA SAFER database and the company's Better Business Bureau profile, while Copilot stated USDOT 3053476 for the same question, drawing on the company's BBB customer reviews and complaint pages. A flagged source on Copilot's side, a third-party review page, carried the excerpt "Sherpa Auto Transport is a highly rated car shipping broker (USDOT 3053476, MC 51106)."

Responses also differed on the MC number. When asked "Is Sherpa Auto Transport a carrier," ChatGPT reported MC #1555035, citing the FMCSA carrier snapshot and the company's own carrier terms and conditions page, while Google AI Mode reported MC #51106, drawing on a Reddit thread and the company's site. A flagged source on Google AI Mode's side carried the excerpt "MC # 51106 USDOT # 3053476."

A further USDOT conflict appeared when the same question, "Is Sherpa Auto Transport a carrier," produced ChatGPT's claim of USDOT #4085166 against Google AI Mode's USDOT #3053476. The company's own carrier terms and conditions page, flagged on ChatGPT's side, states "Sherpa Auto Transport, LLC ('Sherpa') is a fully licensed and bonded auto transportation broker (USDOT broker license # 4085166; MC # 1555035)."

On the question "Is Sherpa Auto Transport a carrier or broker," responses diverged on both the USDOT number and the MC number. ChatGPT stated USDOT 4085166 and MC-1555035, citing the FMCSA carrier snapshot and the company's carrier terms page, while Copilot stated USDOT 3053476 and MC Number 51106, drawing on a third-party review page, a U.S. News car shipping review, and ConsumerAffairs. The flagged third-party review source on Copilot's side reads "They operate as a licensed FMCSA broker with MC Number 51106 and USDOT Number 3053476."

When asked "Is Sherpa Auto Transport legit," ChatGPT stated USDOT 4085166 / MC-1555035, citing the FMCSA SAFER database, the BBB profile, and ConsumerAffairs, while Copilot stated "MC 51106, USDOT 3053476," drawing on BBB customer reviews, a vehicle transport reviews site, and a Forbes review. A similar split emerged on "Is Sherpa auto transport legitimate," with ChatGPT reporting MC-1555035 and Copilot reporting MC 51106.

AI platforms also provided conflicting information about the company's Price Lock Promise. When asked "Who is the best auto transport carrier," ChatGPT stated the Price Lock Promise covers price increases up to $300, citing Forbes Advisor, Move.org, and ConsumerAffairs, while Google AI Mode stated "strict Price Lock Promise means the quote you receive is exactly what you pay, preventing hidden fees," drawing on Montway, Cars.com, and a Cars.com California car shipping page. The Move.org source flagged on ChatGPT's side carries the excerpt "Guaranteed prices (up to $300)." A parallel conflict arose on the same question between ChatGPT's $300-cap claim and Gemini's statement that "Price Lock Promise means the quote you are given initially is what you actually pay, preventing last-minute price hikes," with Gemini citing Clean Fleet Report, Cars.com, and Extra Space.

Nexus Auto Transport

Four high-severity inconsistencies were identified, spanning ChatGPT and Copilot.

When asked "Is Nexus Auto Transport a legitimate company," ChatGPT stated USDOT #2801954, citing the BBB profile, the company's own reviews page, and Trustpilot, while Copilot stated USDOT #2444058, drawing on a vehicle transport reviews site, a car tips blog, and BBB customer reviews. A flagged source on Copilot's side carried the excerpt "registered with the U.S. Department of Transportation (USDOT #2444058)."

Responses also differed on the FMCSA MC number. ChatGPT reported MC #933173 while Copilot reported MC #843451 for the same question. The flagged source on Copilot's side carried the excerpt "Federal Motor Carrier Safety Administration (MC #843451)."

A second USDOT conflict and a second MC conflict appeared when the shorter question "Is Nexus Auto Transport legitimate" was asked, with ChatGPT again stating USDOT #2801954 and MC #933173 against Copilot's USDOT #2444058 and MC #843451.

RoadRunner Auto Transport

Two high-severity inconsistencies were identified, spanning ChatGPT, Copilot, Google AI Mode, and Google AI Overviews.

When asked "Is RoadRunner Auto Transport BBB accredited," ChatGPT stated the company has a "BBB Rating: A+," citing the BBB profile, while Google AI Overviews stated "The company has previously received an 'F' rating on its BBB profile," drawing on the BBB profile and Automoblog. A flagged source on Google AI Overviews' side, an Automoblog review, carried the excerpt "Better Business Bureau (BBB) rating : F."

Responses also differed on enclosed transport pricing. When asked "How much does it cost to ship a car from Arizona to North Carolina," Google AI Mode stated "Enclosed auto transport costs $1,400–$1,800+," citing the company's own route page and an SGT Auto Transport route page, while Copilot stated "Premium enclosed transport costs $3,140–$3,825," drawing on Sherpa Auto Transport's route page, the RoadRunner route page, and MoveBuddha. The flagged source on Google AI Mode's side carried the excerpt "Arizona to North Carolina Car Shipping | Cost $1200-$1800."

AmeriFreight

One high-severity inconsistency was identified, spanning ChatGPT and Copilot.

When asked "Who is the best company to ship a car," ChatGPT stated "No upfront payment until a carrier is assigned," citing ConsumerAffairs, Kiplinger, and a ConsumerAffairs awards page, while Copilot stated "Small deposit required," drawing on a U.S. News car shipping guide, ConsumerAffairs, and The Screened. Two flagged sources on ChatGPT's side carried the excerpts "No deposit required at booking, transparent pricing" and "No upfront deposit means you don't pay until a carrier is assigned."

SGT Auto Transport

One high-severity inconsistency was identified, spanning ChatGPT and Copilot.

When asked "Is SGT Auto Transport legitimate," ChatGPT stated an "aggregate rating around 2.9/5," citing BBB complaints, while Copilot stated "customers generally rate it around 4.5–4.8 stars," drawing on a Forbes Home review, TransportVibe, and a third-party review page. Two flagged sources on Copilot's side carried the excerpts "about 4.7 on Google across 6,700+ reviews" and "47,000+ verified reviews · 4.8★ rating · FMCSA checked carriers · Real customer data."

Benchmark Context

The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.

The qualified benchmark set is the denominator used for every brand-level percentage in this report; it is a filtered subset of the larger prompt-surface collection shown above, not the raw collection itself. The qualified observation count moved from 555 in August to 560 in September before settling at 548 in October.

Benchmark-Level Metrics

The recommendation-shaped answer share declined from 50.5% in July to 48.1% in August and 42.0% in September before recovering to 46.5% in October. The valid recommendation shortlist share followed a flatter path, moving from 83.0% in July to 80.5% in August, 80.0% in September, and 80.1% in October. Both category-level shares remain below their July baselines.

AI Recommendation Trend

Questions This Section Answers

• Which auto transport brands declined beyond the benchmark's normal range from July to October?
• How did Sherpa Auto Transport's coverage hold versus the three significant decliners?
• Which brand was the only one to gain recommendation coverage across the full series?

Three Significant Decliners and a Stable Leader

Three brands exceeded the benchmark's normal range against the baseline: AmeriFreight, Nexus Auto Transport, and SGT Auto Transport, all in a downward direction. No brand registered a significant baseline-to-current gain. The category-level change is the combination of these three declines and two offsetting upward movements from RoadRunner Auto Transport and Ship a Car Direct.

What Changed This Month

Sherpa Auto Transport: Leader Holds Despite Rank-One Gains

Sherpa Auto Transport's valid recommendation coverage moved to 70.1% in October from 73.8% in September and 74.5% in July, a baseline-to-current decline of 4.4 points that falls within the benchmark's normal range. Raw mention presence eased to 81.9% from 83.6% in July.

The top-3 rate moved to 63.0% from 64.6% in July, while rank-one placements rose to 10.2% from 5.9% in July, a gain of 4.3 points. Net sentiment held near 0.9 across both periods.

Sherpa's coverage held within a narrow band across the series, but its rank-one rate moved sharply upward even as coverage eased. The benchmark cannot determine which prompts are producing the rank-one gains, nor whether they come at the expense of the mid-tier placements that drove the slight coverage decline. That distinction belongs in a company-level review.

Highest-priority diagnostic: Which prompts now award Sherpa the single top recommendation, and which mid-tier slots softened to offset the coverage change?

AmeriFreight: Significant Coverage and Presence Decline

AmeriFreight's valid recommendation coverage fell from 68.0% in July to 61.1% in October, a decline of 6.9 points large enough to register as significant. The move also carried down from September's 65.7%, a drop of 4.6 points that stays within normal variation on its own. Its valid recommendation count stands at 335 this month.

Raw mention presence declined more sharply than coverage, falling to 67.5% from 77.3% in July, a drop of 9.8 points. The top-3 rate eased to 46.2% from 48.4% in July, within normal range. Rank-one placements rose to 11.3% from 8.8% in July, with 62 rank-one placements among 335 valid recommendations.

The distinguishing pattern for AmeriFreight this month is that its overall mention presence contracted more than its coverage did, meaning the brand appears in fewer AI responses overall but converts a somewhat larger share of those appearances into valid recommendations. The benchmark cannot determine which prompts or surfaces account for the presence contraction.

Highest-priority diagnostic: Which prompt categories drove the 9.8-point presence decline, and which competitors absorbed those mentions?

Nexus Auto Transport: Sharpest Series Decline, Three-Month Streak

Nexus Auto Transport's valid recommendation coverage fell from 34.5% in July to 29.9% in August, 26.2% in September, and 21.5% in October, a cumulative decline of 13.0 points from baseline large enough to register as significant, extending a three-month downward streak. Its valid recommendation count stands at 118 this month. Raw mention presence fell to 32.5% from 42.5% in July, a decline of 10.0 points, while the top-3 rate held effectively flat at 14.1% versus 14.3% in July and rank-one placements eased marginally to 5.3% from 5.5% in July, with 29 rank-one placements among 118 valid recommendations.

Sherpa Auto Transport records 70.1% valid recommendation coverage in October 2026, while Nexus Auto Transport stands at 21.5% — a 48.6-point gap, and Nexus now trails every tracked brand except Ship a Car Direct. The more important issue is what that gap means for Nexus Auto Transport's recommendation position: coverage has declined in every month of the series, the losses are concentrated below the brand's strongest placements, and with only 118 valid recommendations behind the current rate, a continuation of the three-month streak would leave Nexus Auto Transport holding a shrinking share of an already-narrow recommendation base. This is a measurable, source-confirmed competitive gap that the benchmark cannot yet explain, and it is widening rather than stabilizing.

Highest-priority diagnostic: Which mid-tier recommendation slots are being lost, and to whom, across the three-month decline?

SGT Auto Transport: Significant Decline Across Coverage, Presence, and Placement

SGT Auto Transport's valid recommendation coverage fell from 57.7% in July to 56.2% in August, 51.8% in September, and 46.4% in October, a cumulative decline of 11.3 points from baseline large enough to register as significant and extending a three-month downward streak. Its valid recommendation count stands at 254 this month.

Raw mention presence fell to 51.1% from 64.2% in July, a decline of 13.1 points. Unlike Nexus Auto Transport, SGT's decline reached every layer of the funnel: the top-3 rate fell to 18.4% from 24.2% in July, a drop of 5.8 points, and rank-one placements fell to 0.5% from 2.5% in July, a drop of 2.0 points, with only 3 rank-one placements among 254 valid recommendations.

SGT Auto Transport's decline is the broadest among the three significant decliners this month because presence, coverage, top-3 placement, and rank-one frequency all moved down together. The benchmark cannot determine which surfaces or prompt types contributed least to that broad decline.

Highest-priority diagnostic: Which surfaces and prompt types account for the simultaneous decline across presence, coverage, and placement?

RoadRunner Auto Transport: Three-Month Gain, Still Well Behind the Field

RoadRunner Auto Transport's coverage moved to 21.2% in October from 19.6% in September and 16.6% in July, a three-month upward run totaling 4.6 points from baseline that cumulatively stays within normal range. Its valid recommendation count stands at 116 this month.

Raw mention presence rose to 43.8% from 38.5% in July, a gain of 5.3 points that is within normal range. The top-3 rate moved to 10.8% from 6.1% in July, a gain of 4.7 points. Rank-one placements held near 3.1% versus 3.0% in July. Net sentiment moved to 0.5 from 0.4 in July.

RoadRunner is the only tracked brand whose coverage rose across the full series, yet its top-3 rate gain outpaced its coverage gain, suggesting the improvement is concentrated in higher placement rather than broader presence alone. The benchmark cannot determine whether that pattern holds across all surfaces or is concentrated in a subset.

Highest-priority diagnostic: Which surfaces are driving the top-3 placement gains, and are they sustainable?

Ship a Car Direct: Stable Low Coverage, Small Counts

Ship a Car Direct's coverage moved to 13.3% in October from 11.4% in September and 12.0% in July, within normal range throughout. Its valid recommendation count stands at 73 this month.

Raw mention presence held at 14.8% versus 14.3% in July. Its top-3 rate moved to 6.6% from 5.1% in July, and rank-one placements eased to 0.7% from 1.7% in July, with 4 rank-one placements among 73 valid recommendations. Net sentiment moved to 0.9 from 0.8 in July.

With 73 valid recommendations, the counts are small enough that Ship a Car Direct's low coverage could reflect either a structural presence gap or ordinary variation; company-level analysis would be needed to distinguish between the two.

Highest-priority diagnostic: Is the low coverage structural, or does it reflect ordinary month-to-month variation at this count level?

Buyer-Intent Interpretation

Questions This Section Answers

• Which buyer-intent cluster did all qualified observations fall into this month?
• What kinds of buyer questions can the benchmark currently not answer about transportation services?

In October 2026, all 548 qualified observations fell into the Brand Recommendation cluster, matching the pattern across July, August, and September when all qualified observations landed in that class. The public benchmark therefore continues to measure how AI systems choose and rank providers when asked directly, but it cannot yet answer pricing, value, or head-to-head comparison questions: those prompt classes produced no qualified observations in any measured month. Brands that compete on cost or feature trade-offs are not being tested at the category level by this benchmark's current prompt mix.

Brand Opportunity Summary

Questions This Section Answers

• Which auto transport brand needs the most urgent investigation, and on what evidence?
• What diagnostic question applies to Sherpa Auto Transport's rank-one gains?
• Which coverage gap between Nexus Auto Transport and the category leader warrants company-level review?

The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.

Evidence Behind the Benchmark

The aggregate metrics are built from prompt-level observations carrying query, surface, recommendation outcome, rank, sentiment, and citations where exposed. Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns to explain why a brand appears where it does in AI responses, which sources AI systems cite, and how competitive framing shifts across prompt types. Source presence is not automatically treated as proof of causation.

About This Benchmark

This report is part of the AI Visibility Market Discovery research program.

• AI Visibility Industry Market Methodology
• AI Visibility Industry Market Metrics
• AI Visibility Industry Market Standards

Report-Specific Interpretation Notes

• Small-count movement: Nexus Auto Transport's 118 valid recommendations and Ship a Car Direct's 73 rest on small absolute numbers; a handful of prompts can account for meaningful share movement, which is a reason for caution rather than a definitive conclusion.
• Qualified denominator: all percentages use the 548 qualified observations in October, not the 800 prompts collected; the research-stage table above shows the full qualification path.
• Directional analysis: month-over-month movement identifies changes worth investigating; it does not by itself establish cause. AmeriFreight, Nexus Auto Transport, and SGT Auto Transport all moved beyond the benchmark's normal range from baseline.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate coverage percentages sit the questions that matter most: which high-intent prompts a brand wins, which competitor takes the recommendation when a brand loses, what attributes AI systems associate with each option, and which external sources shape those answers. For the three significant decliners this month, the benchmark shows declines large enough to warrant examination, but it cannot yet show which prompts or surfaces drove them; for RoadRunner Auto Transport, the benchmark shows a top-3 gain, but not which surfaces support it. Understanding those patterns is the difference between knowing a brand moved and knowing why it moved.

A company-specific AI visibility audit maps prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy, giving brands a clear picture of where they hold authority, where they leak recommendations, and what to address first.

Request an AI visibility audit