Home Equity Loans AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Home Equity Loans benchmark compares 10 companies across 327 AI answers that met its inclusion rules. Navy Federal Credit Union leads with 246 recommendations (75.23% of answers). At least one tracked company was recommended in 296 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 Home Equity Loans

Industry leaderboard

Questions This Section Answers

• How do Home Equity Loans rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers affirmatively recommended them, not by how often they appeared. A company can be mentioned frequently yet recommended less often, so mention counts and recommendation counts answer different questions.

Ties in recommendation counts would share a rank; near-ties should be read as close rather than decisive. Placement figures are nested inside recommendations, so first-place and shortlist counts are subsets, not additional wins.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Home Equity Loans answer sample recommend any tracked company?

296 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 1207, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Every qualified answer mentioned at least one tracked company, and most recommended at least one. Because a single answer can recommend several companies, company-level recommendation totals exceed the number of answers, so they should not be summed as if each answer counted once.

Answers with no tracked recommendation may still have named companies outside this comparison. Coverage describes these reviewed answers, not the wider market.

Reach and affirmative recommendation

Navy Federal Credit Union ranks 1 by recommendation count. Mentions: 277 (84.71%); recommendations: 246 (75.23%). Top 3 placements: 105 (32.11%); first-place placements: 12 (3.67%).

Wording about the company: 246 positive, 31 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 88.8%. The net framing score was 0.89 (defined in Methodology).

31 mentions had no recorded recommendation. Of recorded recommendations, 42.68% were Top 3 and 4.88% were first-place.

Navy Federal Credit Union leads on recommendation count, but its mentions outnumber its recommendations, meaning some appearances carried no affirmative endorsement. Mention is presence; recommendation is endorsement. The gap between them is a recorded feature of the answers, not evidence about customers or sales.

A leading count is not a unique win unless the next company's count differs; ties would share standing.

Recommendation order and placement

Placement describes where a recommended company appeared in an answer's ordering. Top-three and first-place results are subsets of recommendations, so they cannot be added to recommendation counts or compared as if they used a different base.

A high first-place share among a company's recommendations reflects ordering within those answers, not consumer preference or conversion. Sparse recommendation bases make such shares less stable.

Classified framing in context

Framing classifies the wording surrounding each mention as positive, neutral or negative. Most recorded mentions here were positive, with the remainder neutral and none negative, but neutral or positive wording does not explain why a recommendation was or was not recorded.

Framing is not customer sentiment or an assessment of company quality. It describes how these answers phrased their references.

Company results in detail

Navy Federal Credit Union

Questions This Section Answers

• What do the November 2026 AI answer results show about Navy Federal Credit Union mentions, recommendations and placement?

Navy Federal Credit Union ranks 1 by recommendation count. Mentions: 277 (84.71%); recommendations: 246 (75.23%). Top 3 placements: 105 (32.11%); first-place placements: 12 (3.67%).

Wording about the company: 246 positive, 31 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 88.8%. The net framing score was 0.89 (defined in Methodology).

31 mentions had no recorded recommendation. Of recorded recommendations, 42.68% were Top 3 and 4.88% were first-place.

From October 2026 to November 2026, Navy Federal Credit Union's mention count fell from 288 to 277, while its recommendation count fell from 265 to 246. The recommendation rate was 72.80% and 75.23% respectively.

Navy Federal Credit Union leads this month's recommendation count, with mentions exceeding recommendations, so a portion of its appearances carried no affirmative endorsement. Its placements sit within those recommendations rather than beside them.

Compared with the prior month, both its mention and recommendation counts were lower, while its recommendation rate was higher. The samples differ between months, and the recorded change does not establish why it occurred.

Figure

Questions This Section Answers

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

Figure ranks 2 by recommendation count. Mentions: 227 (69.42%); recommendations: 212 (64.83%). Top 3 placements: 133 (40.67%); first-place placements: 19 (5.81%).

Wording about the company: 212 positive, 15 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 93.4%. The net framing score was 0.93 (defined in Methodology).

15 mentions had no recorded recommendation. Of recorded recommendations, 62.74% were Top 3 and 8.96% were first-place.

From October 2026 to November 2026, Figure's mention count rose from 224 to 227, while its recommendation count stayed at 212. The recommendation rate was 58.24% and 64.83% respectively. The count was unchanged: the rate difference comes from dividing it by 364 answers in October 2026 and 327 in November.

Figure ranks second by recommendation count, and its mentions carry a high recommendation-to-mention ratio, meaning most appearances also included an affirmative endorsement. Its shortlist and first-place placements are subsets of those recommendations, so they should be read as position within endorsed answers rather than as separate totals.

Wording around Figure was overwhelmingly positive, with a small neutral remainder and no negative mentions recorded. Between the October and November samples the recommendation count was unchanged while the rate rose; these are separate selected snapshots, and the difference does not establish improvement or any cause.

Bank of America Corp.

Questions This Section Answers

• What do the November 2026 AI answer results show about Bank of America Corp. mentions, recommendations and placement?

Bank of America Corp. ranks 3 by recommendation count. Mentions: 248 (75.84%); recommendations: 201 (61.47%). Top 3 placements: 141 (43.12%); first-place placements: 68 (20.80%).

Wording about the company: 201 positive, 47 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 81.0%. The net framing score was 0.81 (defined in Methodology).

47 mentions had no recorded recommendation. Of recorded recommendations, 70.15% were Top 3 and 33.83% were first-place.

From October 2026 to November 2026, Bank of America Corp.'s mention count rose from 234 to 248, while its recommendation count fell from 202 to 201. The recommendation rate was 55.49% and 61.47% respectively.

Bank of America Corp. ranks third by recommendation count, with mentions clearly exceeding recommendations. Its first-place placements form a notable portion of its recommendations, reflecting ordering within those answers rather than additional wins.

Its mention count rose while its recommendation count edged lower across the two monthly samples. The comparison is descriptive; it does not establish cause or a change in standing.

Aven

Questions This Section Answers

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

Aven ranks 4 by recommendation count. Mentions: 171 (52.29%); recommendations: 154 (47.09%). Top 3 placements: 92 (28.13%); first-place placements: 57 (17.43%).

Wording about the company: 154 positive, 17 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 90.1%. The net framing score was 0.90 (defined in Methodology).

17 mentions had no recorded recommendation. Of recorded recommendations, 59.74% were Top 3 and 37.01% were first-place.

From October 2026 to November 2026, Aven's mention count rose from 154 to 171, while its recommendation count rose from 148 to 154. The recommendation rate was 40.66% and 47.09% respectively.

Aven ranks fourth by recommendation count and shows a strong recommendation-to-mention ratio, so most of its appearances included an endorsement. A substantial share of its recommendations were placed first, describing ordering within those answers.

Both its mention and recommendation counts were higher than in the prior month, and its rate also rose. The samples differ, so the recorded movement does not demonstrate why it happened.

PNC Bank

Questions This Section Answers

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

PNC Bank ranks 5 by recommendation count. Mentions: 179 (54.74%); recommendations: 151 (46.18%). Top 3 placements: 74 (22.63%); first-place placements: 24 (7.34%).

Wording about the company: 151 positive, 28 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 84.4%. The net framing score was 0.84 (defined in Methodology).

28 mentions had no recorded recommendation. Of recorded recommendations, 49.01% were Top 3 and 15.89% were first-place.

From October 2026 to November 2026, PNC Bank's mention count fell from 183 to 179, while its recommendation count fell from 152 to 151. The recommendation rate was 41.76% and 46.18% respectively.

PNC Bank ranks fifth by recommendation count, with mentions exceeding recommendations and a moderate share of its recommendations placed in the top three. Placement describes position within answers, not consumer choice.

Its mention and recommendation counts were slightly lower than the prior month, while its recommendation rate was higher. Because the monthly samples differ, the comparison shows recorded change without explaining it.

Rocket Mortgage

Questions This Section Answers

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

Rocket Mortgage ranks 6 by recommendation count. Mentions: 103 (31.50%); recommendations: 88 (26.91%). Top 3 placements: 58 (17.74%); first-place placements: 30 (9.17%).

Wording about the company: 88 positive, 15 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 85.4%. The net framing score was 0.85 (defined in Methodology).

15 mentions had no recorded recommendation. Of recorded recommendations, 65.91% were Top 3 and 34.09% were first-place.

From October 2026 to November 2026, Rocket Mortgage's mention count fell from 136 to 103, while its recommendation count fell from 108 to 88. The recommendation rate was 29.67% and 26.91% respectively.

Rocket Mortgage ranks sixth by recommendation count, with a recommendation-to-mention ratio indicating that most appearances carried an endorsement. A large share of its recommendations were placed first, reflecting ordering within those answers.

Its mention and recommendation counts were lower than the prior month, and its rate also declined. The samples differ between months, and the recorded comparison does not establish cause.

U.S. Bancorp

Questions This Section Answers

• What do the November 2026 AI answer results show about U.S. Bancorp mentions, recommendations and placement?

U.S. Bancorp ranks 7 by recommendation count. Mentions: 94 (28.75%); recommendations: 72 (22.02%). Top 3 placements: 25 (7.65%); first-place placements: 8 (2.45%).

Wording about the company: 72 positive, 22 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 76.6%. The net framing score was 0.77 (defined in Methodology).

22 mentions had no recorded recommendation. Of recorded recommendations, 34.72% were Top 3 and 11.11% were first-place.

From October 2026 to November 2026, U.S. Bancorp's mention count fell from 108 to 94, while its recommendation count fell from 86 to 72. The recommendation rate was 23.63% and 22.02% respectively.

U.S. Bancorp ranks seventh by recommendation count, with mentions exceeding recommendations and a comparatively modest share of its recommendations placed in the top three. Placement is a subset of recommendations, not a separate tally.

Its mention and recommendation counts were lower than the prior month, and its rate also declined slightly. The monthly samples differ, so the recorded change does not demonstrate why it occurred.

TD Bank

Questions This Section Answers

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

TD Bank ranks 8 by recommendation count. Mentions: 68 (20.80%); recommendations: 56 (17.13%). Top 3 placements: 20 (6.12%); first-place placements: 0 (0.00%).

Wording about the company: 56 positive, 12 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 82.4%. The net framing score was 0.82 (defined in Methodology).

12 mentions had no recorded recommendation. Of recorded recommendations, 35.71% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, TD Bank's mention count rose from 63 to 68, while its recommendation count rose from 50 to 56. The recommendation rate was 13.74% and 17.13% respectively.

TD Bank ranks eighth by recommendation count, with mentions exceeding recommendations. It recorded no first-place placements this month, a measured zero rather than a missing observation; its shortlist placements remain a subset of its recommendations.

Its mention and recommendation counts were higher than the prior month, and its rate rose. The samples differ, so the comparison does not establish cause or improvement.

Spring EQ

Questions This Section Answers

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

Spring EQ ranks 9 by recommendation count. Mentions: 23 (7.03%); recommendations: 20 (6.12%). Top 3 placements: 4 (1.22%); first-place placements: 0 (0.00%).

Wording about the company: 20 positive, 3 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 87.0%. The net framing score was 0.87 (defined in Methodology).

3 mentions had no recorded recommendation. Of recorded recommendations, 20.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Spring EQ's mention count fell from 39 to 23, while its recommendation count fell from 33 to 20. The recommendation rate was 9.07% and 6.12% respectively.

Spring EQ ranks ninth by recommendation count on a comparatively small base of mentions and recommendations. Its recommendation-to-mention ratio is high, but that ratio rests on few observations and should be read with caution.

Its mention and recommendation counts were lower than the prior month, and its rate also declined. The samples differ, and the recorded change does not explain itself.

Discover Home Loans

Questions This Section Answers

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

Discover Home Loans ranks 10 by recommendation count. Mentions: 12 (3.67%); recommendations: 7 (2.14%). Top 3 placements: 4 (1.22%); first-place placements: 3 (0.92%).

Wording about the company: 7 positive, 5 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 58.3%. The net framing score was 0.58 (defined in Methodology).

5 mentions had no recorded recommendation. Of recorded recommendations, 57.14% were Top 3 and 42.86% were first-place.

From October 2026 to November 2026, Discover Home Loans' mention count stayed at 12, while its recommendation count fell from 9 to 7. The recommendation rate was 2.47% and 2.14% respectively.

Discover Home Loans ranks tenth by recommendation count on a small base of mentions and recommendations. Its recommendation-to-mention ratio is the lowest recorded here, and its framing includes a comparatively large neutral share; both rest on few observations.

Its mention count was unchanged while its recommendation count fell from the prior month. The samples differ, and the recorded comparison does not establish cause.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Home Equity Loans snapshots from August 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.

The earlier snapshot is a separate monthly sample of AI answers, not a matched panel. Counts, rates and ranks are shown together because a count can fall while its rate rises when the answer total shrinks, and vice versa.

Rank positions across months describe recorded ordering in each sample. They do not establish rank stability, equivalent sampling or the reasons for any movement.

What the November Rankings Show

These rankings answer several distinct questions. Reach asks whether a company appeared at all; recommendation asks whether an answer affirmatively endorsed it; placement asks where an endorsed company sat in the ordering; framing asks how the wording was classified. Each measure uses its own base, and placements nest inside recommendations.

Reading them together shows that a frequently mentioned company need not be frequently recommended, and a strongly placed company need not lead on total recommendations. The figures describe the reviewed AI answers, not customers, sales or company quality, and they do not explain why any pattern appeared.

Methodology

Questions This Section Answers

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

This benchmark has partial coverage: 2 of 3 planned question categories contributed usable observations; 1 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:

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.

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

Coverage is partial: only some planned question categories contributed usable answers, so findings apply to the available answer set. The reporting month labels the period, but exact collection dates were not verified.

Each company counts at most once per qualifying answer, and one answer can name several companies, so company totals should not be summed. Recommendation requires both endorsement and positive wording. Rates use the full benchmark answer total; placement results are subsets of recommendations. The recommendation-to-mention ratio and net framing describe answer wording, not customer conversion, satisfaction or company quality. Monthly samples differ, so comparisons show recorded change without establishing cause.