Final Expense Insurance AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Final Expense Insurance benchmark compares 9 companies across 340 AI answers that met its inclusion rules. Ethos leads with 125 recommendations (36.76% of answers). At least one tracked company was recommended in 237 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 Final Expense Insurance

Industry leaderboard

Questions This Section Answers

• How do Final Expense Insurance rank by recorded AI recommendations in November 2026?

The leaderboard orders companies by how many answers affirmatively recommended them, so it measures recorded endorsement rather than general visibility. A company can appear often without being recommended, and a recommendation can sit anywhere in an answer's ordering.

Ties are equal recommendation counts, not shared credit for a unique winner. Mentions, recommendations, shortlist placements and first-place placements answer different questions, and the placement figures are nested within recommendations rather than additional wins.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Final Expense Insurance answer sample recommend any tracked company?

237 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 529, 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 a substantial minority recommended none of them. Because one answer can recommend several companies, company-level recommendation counts exceed the number of answers carrying any recommendation.

This overlap means coverage 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

Ethos ranks 1 by recommendation count. Mentions: 231 (67.94%); recommendations: 125 (36.76%). Top 3 placements: 68 (20.00%); first-place placements: 27 (7.94%).

Wording about the company: 125 positive, 106 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 54.1%. The net framing score was 0.54 (defined in Methodology).

106 mentions had no recorded recommendation. Of recorded recommendations, 54.40% were Top 3 and 21.60% were first-place.

Ethos leads on recommendation count, but its mentions outnumber its recommendations, so presence and endorsement diverge. The gap between the two shows that being named in an answer is not the same as being affirmatively put forward.

A tie would mean equal recommendation counts, not a shared first place. Reach describes appearance; recommendation describes endorsement. Neither establishes why an answer named or endorsed a company.

Recommendation order and placement

Placement records where a recommended company sat 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 or read as separate wins.

A high first-place share among a small recommendation base is a proportion of few recorded endorsements, not evidence of broader prominence. Placement describes position, not customer conversion.

Classified framing in context

Framing classifies the wording used about a company in the selected answers. Positive, neutral and negative labels describe how mentions were phrased, not customer sentiment, reputation or company quality.

Neutral wording is common for several companies, and positive wording does not establish why a recommendation occurred or was withheld. The net framing score summarizes wording balance only and should be read alongside, not instead of, recommendation counts.

Company results in detail

Ethos

Questions This Section Answers

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

Ethos ranks 1 by recommendation count. Mentions: 231 (67.94%); recommendations: 125 (36.76%). Top 3 placements: 68 (20.00%); first-place placements: 27 (7.94%).

Wording about the company: 125 positive, 106 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 54.1%. The net framing score was 0.54 (defined in Methodology).

106 mentions had no recorded recommendation. Of recorded recommendations, 54.40% were Top 3 and 21.60% were first-place.

From October 2026 to November 2026, Ethos' mention count fell from 248 to 231, while its recommendation count rose from 124 to 125. The recommendation rate was 32.38% and 36.76% respectively.

Ethos holds the top recommendation count, with mentions well ahead of recommendations, so many appearances carried no endorsement. Its wording was positive or neutral, with no negative mentions recorded.

Its recommendation-to-mention ratio sits near the middle of the field, and first-place placements form a modest share of its recommendations. The month-to-month comparison shows mentions down and recommendations up slightly; the changed sample does not explain either movement.

Gerber Life

Questions This Section Answers

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

Gerber Life ranks 2 by recommendation count. Mentions: 165 (48.53%); recommendations: 106 (31.18%). Top 3 placements: 44 (12.94%); first-place placements: 4 (1.18%).

Wording about the company: 106 positive, 51 neutral, 8 negative mentions. The proportion of mentions that also included a recommendation was 64.2%. The net framing score was 0.59 (defined in Methodology).

59 mentions had no recorded recommendation. Of recorded recommendations, 41.51% were Top 3 and 3.77% were first-place.

From October 2026 to November 2026, Gerber Life's mention count rose from 136 to 165, while its recommendation count rose from 92 to 106. The recommendation rate was 24.02% and 31.18% respectively.

Gerber Life ranks second on recommendations, and its recommendation-to-mention ratio is comparatively strong, meaning a larger share of its appearances carried endorsement. A small number of negative mentions was recorded alongside mostly positive wording.

First-place placements are rare relative to its recommendations, so its endorsements cluster lower in answer orderings. Its counts rose from the previous month, but the separate samples do not establish why.

Fidelity Life

Questions This Section Answers

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

Fidelity Life ranks 3 by recommendation count. Mentions: 169 (49.71%); recommendations: 86 (25.29%). Top 3 placements: 51 (15.00%); first-place placements: 12 (3.53%).

Wording about the company: 86 positive, 83 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 50.9%. The net framing score was 0.51 (defined in Methodology).

83 mentions had no recorded recommendation. Of recorded recommendations, 59.30% were Top 3 and 13.95% were first-place.

From October 2026 to November 2026, Fidelity Life's mention count rose from 149 to 169, while its recommendation count rose from 81 to 86. The recommendation rate was 21.15% and 25.29% respectively.

Fidelity Life ranks third, with mentions roughly double its recommendations. Its wording was positive or neutral, with no negative mentions recorded, and its recommendation-to-mention ratio is moderate.

A majority of its recommendations were shortlist placements, while first-place placements were a smaller subset. Both mentions and recommendations rose from the prior month; that comparison describes recorded change only, not cause.

Aflac

Questions This Section Answers

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

Aflac ranks 4 by recommendation count. Mentions: 207 (60.88%); recommendations: 77 (22.65%). Top 3 placements: 50 (14.71%); first-place placements: 4 (1.18%).

Wording about the company: 77 positive, 130 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 37.2%. The net framing score was 0.37 (defined in Methodology).

130 mentions had no recorded recommendation. Of recorded recommendations, 64.94% were Top 3 and 5.19% were first-place.

From October 2026 to November 2026, Aflac's mention count rose from 195 to 207, while its recommendation count rose from 54 to 77. The recommendation rate was 14.10% and 22.65% respectively.

Aflac appears in a substantial share of the recorded answers, and a smaller share of those appearances also carried an affirmative recommendation. The remaining mentions were recorded without endorsement, so the recommendation-to-mention ratio describes the answers rather than customer behaviour or sales.

Wording around Aflac was mostly neutral, with positive framing recorded and no negative framing. Its recommendations were largely shortlist placements, with first-place positions forming a smaller subset. Both counts rose from the previous month, but the separate samples do not establish why.

Colonial Penn

Questions This Section Answers

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

Colonial Penn ranks 5 by recommendation count. Mentions: 143 (42.06%); recommendations: 70 (20.59%). Top 3 placements: 34 (10.00%); first-place placements: 24 (7.06%).

Wording about the company: 70 positive, 65 neutral, 8 negative mentions. The proportion of mentions that also included a recommendation was 49.0%. The net framing score was 0.43 (defined in Methodology).

73 mentions had no recorded recommendation. Of recorded recommendations, 48.57% were Top 3 and 34.29% were first-place.

From October 2026 to November 2026, Colonial Penn's mention count fell from 151 to 143, while its recommendation count fell from 84 to 70. The recommendation rate was 21.93% and 20.59% respectively.

Colonial Penn ranks fifth, with mentions about double its recommendations. Its wording was mostly positive or neutral, alongside a small number of negative mentions.

A notable share of its recommendations were first-place placements, a larger proportion than most peers, though the base is moderate. Both mentions and recommendations fell from the prior month; the recorded comparison does not establish why.

Lincoln Heritage

Questions This Section Answers

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

Lincoln Heritage ranks 6 by recommendation count. Mentions: 35 (10.29%); recommendations: 23 (6.76%). Top 3 placements: 8 (2.35%); first-place placements: 0 (0.00%).

Wording about the company: 23 positive, 12 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 65.7%. The net framing score was 0.66 (defined in Methodology).

12 mentions had no recorded recommendation. Of recorded recommendations, 34.78% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Lincoln Heritage's mention count fell from 47 to 35, while its recommendation count fell from 25 to 23. The recommendation rate was 6.53% and 6.76% respectively.

Lincoln Heritage has a small mention base and a recommendation-to-mention ratio near the top of the field, meaning most of its appearances carried endorsement. Its wording was positive or neutral, with no negative mentions recorded.

No first-place placements were recorded, so its recommendations sat lower in answer orderings. Both counts fell from the previous month, and the sparse base warrants caution when reading the strong ratio.

AARP Life Insurance from New York Life

Questions This Section Answers

• What do the November 2026 AI answer results show about AARP Life Insurance from New York Life mentions, recommendations and placement?

AARP Life Insurance from New York Life ranks 7 by recommendation count. Mentions: 25 (7.35%); recommendations: 18 (5.29%). Top 3 placements: 14 (4.12%); first-place placements: 4 (1.18%).

Wording about the company: 18 positive, 7 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 72.0%. The net framing score was 0.72 (defined in Methodology).

7 mentions had no recorded recommendation. Of recorded recommendations, 77.78% were Top 3 and 22.22% were first-place.

From October 2026 to November 2026, AARP Life Insurance from New York Life's mention count fell from 98 to 25, while its recommendation count fell from 90 to 18. The recommendation rate was 23.50% and 5.29% respectively.

AARP Life Insurance from New York Life has a small mention base but a high recommendation-to-mention ratio, with most appearances carrying endorsement. Its wording was positive or neutral, and no negative mentions were recorded.

Most of its recommendations were shortlist placements, with a smaller first-place subset. Its counts fell sharply from the prior month, but the separate samples do not establish why, and the small base limits interpretation.

Globe Life

Questions This Section Answers

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

Globe Life ranks 8 by recommendation count. Mentions: 19 (5.59%); recommendations: 14 (4.12%). Top 3 placements: 7 (2.06%); first-place placements: 0 (0.00%).

Wording about the company: 14 positive, 3 neutral, 2 negative mentions. The proportion of mentions that also included a recommendation was 73.7%. The net framing score was 0.63 (defined in Methodology).

5 mentions had no recorded recommendation. Of recorded recommendations, 50.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Globe Life's mention count fell from 35 to 19, while its recommendation count rose from 13 to 14. The recommendation rate was 3.39% and 4.12% respectively.

Globe Life has the smallest mention base in the field, and its recommendation-to-mention ratio is high, though that proportion rests on few recorded appearances. A small number of negative mentions was recorded alongside mostly positive wording.

No first-place placements were recorded, so its recommendations were shortlist positions. Mentions fell while recommendations rose slightly from the prior month; the sparse base cautions against reading much into either movement.

Choice Mutual

Questions This Section Answers

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

Choice Mutual ranks 9 by recommendation count. Mentions: 98 (28.82%); recommendations: 10 (2.94%). Top 3 placements: 4 (1.18%); first-place placements: 1 (0.29%).

Wording about the company: 10 positive, 88 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 10.2%. The net framing score was 0.10 (defined in Methodology).

88 mentions had no recorded recommendation. Of recorded recommendations, 40.00% were Top 3 and 10.00% were first-place.

From October 2026 to November 2026, Choice Mutual's mention count fell from 113 to 98, while its recommendation count fell from 12 to 10. The recommendation rate was 3.13% and 2.94% respectively.

Choice Mutual appears in many answers but is rarely recommended, giving it by far the lowest recommendation-to-mention ratio in the field. Most of its mentions were neutral, with no negative wording recorded.

Its recommendations were few, with a small first-place subset. Both mentions and recommendations fell from the previous month. The low ratio describes recorded answer wording, not customer behavior or company quality.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Final Expense Insurance 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.

Each month is a separate sample of AI answers, and the number of included answers differs across months. Counts and rates therefore should be read together rather than compared as if sampling were equivalent.

Rank changes across months describe recorded positions in different samples. They do not establish rank stability, improvement, loss of standing or any cause for the shifts.

What the November Rankings Show

The November results answer several distinct questions. Reach asks how often a company appeared; recommendation asks whether an answer affirmatively endorsed it; placement asks where an endorsement sat in the ordering; framing asks how the wording was classified. A company can be visible without being recommended, and recommended without being placed first.

Because one answer can name several companies, company totals overlap and should not be summed into a market total. The ratios describe recorded answer wording, not customers, sales or conversion, and framing is not customer sentiment. The comparisons across months rest on separate samples, so they show what was recorded, not why it changed.

Methodology

Questions This Section Answers

• How were the November 2026 Final Expense Insurance 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; 9 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:

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

The benchmark covers a partial set of planned question categories, and findings apply only to the answers included. The reporting month labels the period, but exact collection dates were not verified, and the source gives no reader-facing definition of the reserved screening label.

Each company is counted at most once per answer, and a recommendation requires both affirmative endorsement and positive wording. Rates use the full included answer total, and placement figures are nested within recommendations. Net framing measures wording balance, not satisfaction or quality. Monthly samples differ, so comparisons show recorded change without establishing cause.