Auto Refinance Loans AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Auto Refinance Loans benchmark compares 10 companies across 601 AI answers that met its inclusion rules. myAutoloan leads with 194 recommendations (32.28% of answers). At least one tracked company was recommended in 350 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Auto Refinance Loans

Industry leaderboard

Questions This Section Answers

• How do Auto Refinance Loans rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers contained an affirmative recommendation, so it measures recorded endorsement rather than mere appearance. A company can be mentioned often without being recommended, and recommendation counts can tie even when mention totals differ. Placement figures sit inside recommendations: shortlist and first-place results are subsets, not separate wins. Reading the columns together shows reach, endorsement and position as distinct measurements.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Auto Refinance Loans answer sample recommend any tracked company?

350 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 1004, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Every included answer mentioned at least one tracked company, but only a portion recommended one. Because a single answer can recommend several companies, company-level recommendation counts exceed the number of answers containing any recommendation. Overlapping coverage therefore describes how often tracked names appear across answers, not market share or dominance. Answers without a tracked recommendation may still have named companies outside this comparison.

Reach and affirmative recommendation

myAutoloan ranks 1 by recommendation count. Mentions: 362 (60.23%); recommendations: 194 (32.28%). Top 3 placements: 111 (18.47%); first-place placements: 37 (6.16%).

Wording about the company: 205 positive, 157 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 53.6%. The net framing score was 0.57 (defined in Methodology).

168 mentions had no recorded recommendation. Of recorded recommendations, 57.22% were Top 3 and 19.07% were first-place.

myAutoloan leads on recommendation count, yet a substantial share of its mentions carried no recorded recommendation. Mention means the company appeared in an answer; recommendation means the answer affirmatively endorsed it. The two measures answer different questions, and a high mention total does not guarantee proportional endorsement. Ties in recommendation counts are ties, not unique wins.

Recommendation order and placement

Placement describes where a recommended company appeared in an answer's ordering. Shortlist placements are a subset of recommendations, and first-place placements are a subset of shortlist placements, so these figures should not be added together. A company with fewer recommendations can still show a comparatively strong placement share, though small bases warrant caution. Placement is not consumer conversion.

Classified framing in context

Framing classifies the wording surrounding each mention as positive, neutral or negative. Most mentions here are positive or neutral, with negative wording rare. Neutral wording is not disapproval, and positive wording does not establish why a recommendation occurred. Framing reflects how the selected answers phrased things, not customer sentiment or company quality.

Company results in detail

myAutoloan

Questions This Section Answers

• What do the November 2026 AI answer results show about myAutoloan mentions, recommendations and placement?

myAutoloan ranks 1 by recommendation count. Mentions: 362 (60.23%); recommendations: 194 (32.28%). Top 3 placements: 111 (18.47%); first-place placements: 37 (6.16%).

Wording about the company: 205 positive, 157 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 53.6%. The net framing score was 0.57 (defined in Methodology).

168 mentions had no recorded recommendation. Of recorded recommendations, 57.22% were Top 3 and 19.07% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

myAutoloan tops the recommendation ranking and appears in a majority of answers, giving it the broadest reach in this sample. Its mentions are overwhelmingly positive or neutral, and roughly half also carried a recommendation. Placement within recommendations is common but not universal. No prior-period comparison is available for this profile.

Caribou

Questions This Section Answers

• What do the November 2026 AI answer results show about Caribou mentions, recommendations and placement?

Caribou ranks 2 by recommendation count. Mentions: 358 (59.57%); recommendations: 179 (29.78%). Top 3 placements: 88 (14.64%); first-place placements: 37 (6.16%).

Wording about the company: 191 positive, 167 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 50.0%. The net framing score was 0.53 (defined in Methodology).

179 mentions had no recorded recommendation. Of recorded recommendations, 49.16% were Top 3 and 20.67% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Caribou sits near the top on both mentions and recommendations, with reach close to the leader's. Its recommendation-to-mention ratio is somewhat lower, meaning many appearances did not include an endorsement. Framing is largely positive or neutral. Placement within its recommendations is frequent, and first-place results are a smaller subset. No prior-period comparison is available.

Gravity Lending

Questions This Section Answers

• What do the November 2026 AI answer results show about Gravity Lending mentions, recommendations and placement?

Gravity Lending ranks 3 by recommendation count. Mentions: 257 (42.76%); recommendations: 157 (26.12%). Top 3 placements: 83 (13.81%); first-place placements: 40 (6.66%).

Wording about the company: 163 positive, 94 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 61.1%. The net framing score was 0.63 (defined in Methodology).

100 mentions had no recorded recommendation. Of recorded recommendations, 52.87% were Top 3 and 25.48% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Gravity Lending ranks third by recommendation count, with mentions appearing in a substantial share of recorded answers and recommendations in a smaller share. Wording around the company was overwhelmingly positive or neutral, with no negative mentions recorded. The share of mentions that also carried an affirmative endorsement is comparatively high, though this describes the recorded answers rather than customer behaviour or sales.

Among its recorded recommendations, shortlist placements and first-place placements account for meaningful portions, with first-place results forming a subset of shortlist placements. The positive framing score reflects wording in the answers, not company quality or customer sentiment. No usable prior-period comparison exists, so the profile stands as a single-month description.

LightStream

Questions This Section Answers

• What do the November 2026 AI answer results show about LightStream mentions, recommendations and placement?

LightStream ranks 4 by recommendation count. Mentions: 319 (53.08%); recommendations: 148 (24.63%). Top 3 placements: 73 (12.15%); first-place placements: 37 (6.16%).

Wording about the company: 161 positive, 157 neutral, 1 negative mentions. The proportion of mentions that also included a recommendation was 46.4%. The net framing score was 0.50 (defined in Methodology).

171 mentions had no recorded recommendation. Of recorded recommendations, 49.32% were Top 3 and 25.00% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

LightStream has substantial reach, appearing in many answers, but a smaller share of those mentions carried a recommendation. Its framing is mostly positive or neutral, with a single negative mention recorded. Placement within recommendations is common. The gap between mentions and recommendations is the defining feature of this profile. No prior-period comparison is available.

RefiJet

Questions This Section Answers

• What do the November 2026 AI answer results show about RefiJet mentions, recommendations and placement?

RefiJet ranks 5 by recommendation count. Mentions: 198 (32.95%); recommendations: 94 (15.64%). Top 3 placements: 48 (7.99%); first-place placements: 17 (2.83%).

Wording about the company: 100 positive, 98 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 47.5%. The net framing score was 0.51 (defined in Methodology).

104 mentions had no recorded recommendation. Of recorded recommendations, 51.06% were Top 3 and 18.09% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

RefiJet appears in roughly a third of answers and is recommended in a smaller share of them. Its framing is split almost evenly between positive and neutral wording, with no negative mentions. Placement within recommendations is frequent, while first-place results are less common. No prior-period comparison is available for this profile.

RateGenius

Questions This Section Answers

• What do the November 2026 AI answer results show about RateGenius mentions, recommendations and placement?

RateGenius ranks 6 by recommendation count. Mentions: 148 (24.63%); recommendations: 72 (11.98%). Top 3 placements: 29 (4.83%); first-place placements: 7 (1.16%).

Wording about the company: 73 positive, 75 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 48.6%. The net framing score was 0.49 (defined in Methodology).

76 mentions had no recorded recommendation. Of recorded recommendations, 40.28% were Top 3 and 9.72% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

RateGenius occupies a middle position on reach and recommendation counts. Its mentions are balanced between positive and neutral framing, and about half carried a recommendation. First-place placements are comparatively rare within its recommendations. The profile shows moderate presence without concentrated top positioning. No prior-period comparison is available.

Auto Approve

Questions This Section Answers

• What do the November 2026 AI answer results show about Auto Approve mentions, recommendations and placement?

Auto Approve ranks 7 by recommendation count. Mentions: 154 (25.62%); recommendations: 69 (11.48%). Top 3 placements: 36 (5.99%); first-place placements: 13 (2.16%).

Wording about the company: 73 positive, 81 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 44.8%. The net framing score was 0.47 (defined in Methodology).

85 mentions had no recorded recommendation. Of recorded recommendations, 52.17% were Top 3 and 18.84% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Auto Approve records mention and recommendation totals close to RateGenius, with a slightly lower recommendation-to-mention ratio. Neutral framing slightly outnumbers positive wording, and no negative mentions appear. Placement within recommendations is common, though first-place results are a modest subset. No prior-period comparison is available for this profile.

OpenRoad Lending

Questions This Section Answers

• What do the November 2026 AI answer results show about OpenRoad Lending mentions, recommendations and placement?

OpenRoad Lending ranks 8 by recommendation count. Mentions: 82 (13.64%); recommendations: 45 (7.49%). Top 3 placements: 12 (2.00%); first-place placements: 2 (0.33%).

Wording about the company: 47 positive, 35 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 54.9%. The net framing score was 0.57 (defined in Methodology).

37 mentions had no recorded recommendation. Of recorded recommendations, 26.67% were Top 3 and 4.44% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

OpenRoad Lending has narrower reach than the companies above it, yet a comparatively high share of its mentions carried a recommendation. Its framing is mostly positive, and placement within recommendations is frequent, though first-place results are rare. The small base means these ratios should be read with caution. No prior-period comparison is available.

Capital One Platinum Mastercard

Questions This Section Answers

• What do the November 2026 AI answer results show about Capital One Platinum Mastercard mentions, recommendations and placement?

Capital One Platinum Mastercard ranks 9 by recommendation count. Mentions: 96 (15.97%); recommendations: 39 (6.49%). Top 3 placements: 22 (3.66%); first-place placements: 14 (2.33%).

Wording about the company: 43 positive, 53 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 40.6%. The net framing score was 0.45 (defined in Methodology).

57 mentions had no recorded recommendation. Of recorded recommendations, 56.41% were Top 3 and 35.90% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

Capital One Platinum Mastercard appears in a modest share of answers, and a smaller portion of those mentions carried a recommendation. Neutral framing slightly outnumbers positive wording. Among its recommendations, first-place placements form a comparatively large share, though the base is small. No prior-period comparison is available for this profile.

LendingClub

Questions This Section Answers

• What do the November 2026 AI answer results show about LendingClub mentions, recommendations and placement?

LendingClub ranks 10 by recommendation count. Mentions: 37 (6.16%); recommendations: 7 (1.16%). Top 3 placements: 4 (0.67%); first-place placements: 2 (0.33%).

Wording about the company: 8 positive, 29 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 18.9%. The net framing score was 0.22 (defined in Methodology).

30 mentions had no recorded recommendation. Of recorded recommendations, 57.14% were Top 3 and 28.57% were first-place.

There are insufficient usable monthly observations for a prior-period comparison.

LendingClub has the sparsest presence in this sample, with few mentions and fewer recommendations. Most of its mentions are neutral rather than positive, and its recommendation-to-mention ratio is the lowest recorded. Placement counts are correspondingly small, so shares rest on a narrow base. No prior-period comparison is available.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Auto Refinance Loans snapshots from July 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

Only one reporting month with verified results is shown, so no month-to-month change can be assessed. The counts and rates describe separate monthly AI answer samples, and the samples differ between months. A single snapshot cannot establish rank stability, and the absence of earlier comparable months limits any trend reading.

What the November Rankings Show

These rankings answer several different questions at once. Reach asks how often a company appeared; recommendation asks whether an answer affirmatively endorsed it; placement asks where within an endorsement it sat; framing asks how the wording was classified. A company can be prominent on one measure and modest on another, which is why the columns should not be collapsed into a single verdict. None of these measures establishes customer behavior, product quality or the reasons behind an answer's wording.

Methodology

Questions This Section Answers

• How were the November 2026 Auto Refinance Loans AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 3 of 3 planned question categories contributed usable observations; 0 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 10 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

July 2026 measured a different set of companies, so it is excluded from this comparison. August 2026 measured a different set of companies, so it is excluded from this comparison. September 2026 measured a different set of companies, so it is excluded from this comparison. October 2026 measured a different set of companies, so it is excluded from this comparison.

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

Coverage is partial: some planned question categories contributed usable observations and others did not, which describes category coverage rather than platform outages. The reporting month is labeled, but exact collection dates are unverified. Each company is counted at most once per answer, and placement results are nested within recommendations. Rates use the full benchmark answer total, and one answer can mention several companies, so company totals should not be summed. The results describe the reviewed AI answers, not verified company facts.