Final Expense Insurance: AI Visibility Market Discovery Index

Benchmark Summary

Questions This Section Answers

• Which final expense insurance brand held the highest valid recommendation coverage in October 2026?
• Did any tracked brand's recommendation coverage increase beyond normal variation since the July 2026 baseline?

Ethos held the highest valid recommendation coverage in October 2026 at 32.4%, ahead of Gerber Life at 24.0%, a gap of 8.4 points. Every tracked brand's valid recommendation coverage was lower in October 2026 than in July 2026. Choice Mutual held the smallest decline since baseline, down 0.3 points from 3.4% in July 2026 to 3.1% in October 2026, within normal month-to-month variation; the largest decline was Colonial Penn, down 13.3 points, from 35.2% in July 2026 to 21.9% in October 2026, beyond normal variation.

Five brands declined beyond normal variation from July 2026 to October 2026: AARP Life Insurance from New York Life (down 11.4 points, from 34.9% to 23.5%), Aflac (down 5.2 points, from 19.3% to 14.1%), Colonial Penn (down 13.3 points, from 35.2% to 21.9%), Fidelity Life (down 7.6 points, from 28.7% to 21.1%), and Globe Life (down 4.1 points, from 7.5% to 3.4%). No brand posted a significant coverage increase since baseline. Most recently, Choice Mutual rose 2.4 points from 0.7% in September 2026 to 3.1% in October 2026, beyond normal variation, and Ethos rose 5.4 points from 27.0% to 32.4%, within normal variation.

The benchmark began with 800 prompt-surface observations in each month and produced 383 qualified observations in October 2026 after qualification.

Current Benchmark at a Glance

Qualified surface breadth counts the canonical AI surface families with at least one qualified observation. The six families tracked are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode. The coverage leader changed hands twice across the four-month record, with Ethos and AARP Life Insurance from New York Life trading the top position.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Final Expense Insurance

Research Scope and Qualification

Questions This Section Answers

• How many prompt-surface observations qualified for the public benchmark in October 2026?
• Why is the qualified benchmark denominator smaller than the raw brand mention count?

The public benchmark is narrower than the raw collection universe by design.

Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Visibility Market Discovery Methodology

Current Brand Standings

Questions This Section Answers

• Which final expense brands lead on valid recommendation coverage, top-three placement, and rank-one recommendations?
• How do presence rate and valid recommendation coverage differ for the tracked brands?

How to Read the Standings

Presence rate is the share of qualified observations where the brand was mentioned at all. Valid recommendation coverage is the share of qualified observations where the brand appeared in a recommendation that could be clearly attributed. Top-three rate is the share of observations where the brand appeared in the first three recommendation slots. Rank-one rate is the share where the brand was the single top recommendation. Net sentiment reflects the balance of positive minus negative mentions among observations where the brand appeared.

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

Recommendation Coverage Movement

Questions This Section Answers

• Which brand posted the largest decline in valid recommendation coverage since the July 2026 baseline?
• Which brands' coverage moves fell outside normal month-to-month variation?

Largest Decline: Colonial Penn

Colonial Penn posted the largest decline in valid recommendation coverage, falling 13.3 points from 35.2% in July 2026 to 21.9% in October 2026, beyond normal month-to-month variation. The largest single-month move came from July 2026 to August 2026, when the brand dropped 8.9 points. The most recent month-over-month move was within normal variation, but the cumulative loss is not.

Category Leader: Ethos

Ethos held the highest valid recommendation coverage in October 2026 at 32.4%, down 2.5 points from 34.9% in July 2026, a move within normal month-to-month variation. Its presence rate rose from 55.4% in July 2026 to 64.8% in October 2026, and its rank-one rate rose from 4.6% to 8.6%. Ethos now leads both top-three and rank-one placement, a stronger first-choice position than its coverage lead alone suggests.

Additional Movement: Choice Mutual

Choice Mutual recorded a significant prior-to-current increase, rising 2.4 points from 0.7% in September 2026 to 3.1% in October 2026. The single-month gain should not yet be treated as a trend, as the full series moved from 3.4% in July 2026 to 3.1% in October 2026, within normal variation.

Recommendation Placement Snapshot

Questions This Section Answers

• Which brands appear most often in the top three recommendation slots?
• Can similar coverage rates hide differences in first-position recommendation strength?

Coverage alone does not show how prominently a brand is recommended. Among the leading brands, Ethos held both the highest top-three rate and the highest rank-one rate in October 2026.

Similar top-three rates can hide very different rank-one strength. AARP Life Insurance from New York Life held a top-three rate of 17.8% in October 2026, close to Colonial Penn at 15.9%, yet both trailed Ethos at 22.4%.

Buyer-Intent Distribution

Questions This Section Answers

• Which buyer-intent classes produced qualified observations in the current public series?
• Are pricing and value or multi-brand comparison questions currently represented in the benchmark?

All qualified observations in both months fell into the Brand Recommendation class.

Pricing, value, and head-to-head comparison questions have no qualified signal in this data. The current public series measures brand recommendation discovery only.

Historical Measurement Record

Questions This Section Answers

• Which brand led each monthly measurement from July through October 2026?
• What movement pattern does the leader-by-coverage record show across the four months?

Evidence and Source Layer

Questions This Section Answers

• What does source presence in AI answers tell us about the information environment for final expense recommendations?
• Why is citation presence not proof that a source caused a brand recommendation?

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, not proof that the source caused the recommendation.

Scope Boundaries

This public benchmark does not measure market share, attributable sales, every possible AI response, organic-search ranking, social mention volume, private or sponsored channels, or causality from a metric movement alone.

Top 10 Cited Domains

Questions This Section Answers

• Which domains were cited most often across AI platform responses?
• How concentrated are citations among the top domains compared with the broader citation base?

Across all AI platform responses in this measurement period, 6,366 citations were observed across 1,489 unique domains.

Citation share is broadly distributed: the top 10 domains account for a combined 33.1%. No single source controls the category narrative. Several tracked brands' own domains appear in the top 10, including aflac.com at rank 1, ethos.com at rank 3, choicemutual.com at rank 4, fidelitylife.com at rank 8, colonialpenn.com at rank 9, and gerberlife.com at rank 10. The mix includes official brand sites alongside third-party review and community sources such as nerdwallet.com, reddit.com, and youtube.com.

About This Benchmark

The LLM Authority Index AI Visibility Market Discovery Index tracks how often brands appear in AI-generated answers across major AI and search surfaces. It uses a consistent, audited methodology to produce comparable month-over-month measurements.

• AI Visibility Market Discovery Methodology
• AI Visibility Market Discovery Metric Definitions
• AI Visibility Market Discovery Research Standards
• Modeled AI Visibility Authority Value

Get a Company-Level Authority Index

The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper.

The public percentage cannot identify the prompts, competitors, or sources causing a brand's result. Get my free AI Company Index