Life Insurance
Consensus Index

AI Consensus Fit Review

Aetna No-Medical-Exam Final Expense Insurance Fit Review

Aetna is a good fit for a U.S.

Research: 2026-09-217 usable platform responsesRead the methodology ↗

Share

Answer Capsule

Aetna is a good fit for a U.S. consumer who wants permanent final expense coverage without a traditional paramedical exam and is willing to answer health questions and authorize prescription or medical-record review. Five of the seven platforms in this study named Aetna during the ranking stage, and six returned a usable fit assessment. The strongest reason to consider it is the combination of simplified-issue whole life with no blood or urine testing, level premiums, and an A-rated carrier. The main limitation is that it is not guaranteed issue: health answers and record checks can still produce a decline, a graded benefit, or a higher premium, and current public pricing is not transparent.

Research Snapshot

FieldFinding
Platform mentions in ranking stage5 of 7 platforms named Aetna (deepseek, google, grok, kimi, perplexity)
Share of included platform responses71.4% of included platforms named the entity during ranking discovery
Average listed rank3.0
Best listed rank2 (google)
Relevant product/model/planAccendo Final Expense Individual Whole Life Insurance, issued by Accendo Insurance Company and administered by Aetna affiliates; also described as Aetna Final Expense Whole Life and CVS Health Final Expense Whole Life
Overall use-case fitGood (fit ratings: strong 1, good 4, mixed 1 across six assessing platforms)
Research date2026-09-21

Why Aetna Qualified for This Study

Questions This Section Answers

  • Is Aetna a good choice for No-Medical-Exam Final Expense Insurance?
  • Why did AI platforms rank Aetna for no-exam final expense coverage instead of other carriers?

Aetna qualified because it was named by five of the seven included platforms during ranking discovery and received a usable fit assessment from six, with a best listed rank of 2 and an average listed rank of 3.0. No platform placed it below fourth.

The qualification rests on a specific product match rather than general brand recognition. The Accendo Final Expense Whole Life brochure states that no medical examination is required, that the policy is whole life insurance, and that premiums do not increase while premiums are paid [1]. Independent reviews repeat the same core claim: no medical exam, no blood test, and no urine test, with underwriting based on simplified yes/no health questions [2].

That combination maps directly onto the study's buyer criteria: permanent coverage, no paramedical exam, willingness to answer health questions, and tolerance for prescription or medical-record review. Aetna also satisfies the reputation criterion through an A (Excellent) financial strength rating from AM Best for Aetna Life Insurance Company [7] and its position as a subsidiary of CVS Health [9].

One qualification note matters for interpretation. Platform mentions count only platforms that named the entity during ranking discovery, and the fit findings below are not unanimous: one platform rated the fit mixed, one rated it strong, and four rated it good. Aetna's inclusion reflects repeated platform selection, not verified product superiority.

The Product, Model, Plan, or Service Most Relevant to No-Medical-Exam Final Expense Insurance

Questions This Section Answers

  • Which Aetna final expense plan should a buyer choose if they want no medical exam and immediate level benefits?
  • Is Aetna Final Expense the same product as Accendo Final Expense and CVS Health Final Expense Whole Life?

The relevant product is simplified-issue whole life final expense coverage, most consistently described as Accendo Final Expense Individual Whole Life Insurance, issued by Accendo Insurance Company and administered by Aetna affiliates [10]. Platforms also named it as Aetna Final Expense Whole Life Insurance and CVS Health Final Expense Whole Life underwritten by Accendo Insurance Company [12].

The naming is genuinely inconsistent across sources, and this review does not resolve it. Reviewed materials support an Accendo/Aetna/CVS Health relationship but do not establish that all three names refer to one currently marketed policy in every state [10]. Buyers should confirm the legal issuer on the state-specific policy form.

Within the product line, platforms describe multiple benefit tiers. Independent reviews describe a Level Benefit plan with immediate full coverage, a Standard plan with more liberal underwriting, a Preferred tier with stricter health requirements and lower cost, and a Modified Benefit plan with a two-year waiting period for natural-cause deaths [17]. One platform describes four tiers — Super Preferred, Preferred, Standard, and Modified — with Preferred and Standard offering day-one full coverage [21].

For a no-medical-exam buyer, the Level or Standard tier is the relevant target, because the Modified plan carries the waiting period and reviewers have questioned its value. One independent review states that the modified plan "isn't worth buying due to its high cost and waiting period" [22], and another notes the Modified plan is not eligible for additional riders and has a two-year waiting period [23].

What the AI Platforms Agreed About

Questions This Section Answers

  • Do all AI platforms agree that Aetna final expense requires no medical exam?
  • What do AI platforms agree Aetna offers for permanent no-exam final expense coverage?

Agreement was strong on four points, though not unanimous across every platform.

First, no paramedical exam. Company materials state no medical examination is required [24], and independent reviews across multiple platforms repeat that no medical exam, blood test, or urine test is needed [26].

Second, permanent whole life structure with level premiums. The brochure describes whole life coverage with premiums that do not increase while premiums are paid [24]. Independent reviews describe coverage lasting forever, premiums that never increase, and cash value accumulation [31].

Third, underwriting uses health questions plus record checks rather than an exam. The application contains health questions and identifies circumstances that can make an applicant ineligible, including facility confinement, hospice or home health care, activities-of-daily-living assistance, oxygen or dialysis, and pending medical procedures or tests [35]. Independent sources describe yes/no health questions plus a prescription drug check and possible MIB database lookups [36].

Fourth, carrier reputation. Aetna Life Insurance Company holds an A (Excellent) rating from AM Best [39], and Aetna Life Insurance Company is a subsidiary of CVS Health Corporation [41].

Platform agreement here reflects repeated sourcing from the same public materials, not independent verification of product quality.

Where the AI Platforms Disagreed or Were Uncertain

Platforms diverged on pricing, product identity, coverage limits, and application speed.

Pricing was the largest gap. One platform found no verified published premium rates at all and rated pricing confidence low [42]. Another rated pricing confidence low and stated that public sources do not provide a single verifiable premium for 2026 [44]. Others offered sample figures: roughly $40–$60 per month for $10,000 of immediate-level coverage for many seniors [46], approximately $48 per month for $10,000 at age 65 female non-tobacco Preferred tier [48], and roughly $27 per month for $10,000 level non-tobacco female age 50 [49]. These are illustrative samples from different sources and do not reconcile into one rate.

Coverage limits conflicted. Most sources cite a $50,000 maximum [50], but some older sources cite $35,000 or $40,000, and one platform states the maximum drops to $25,000 at ages 76 and older [48].

Age eligibility varied by product line. One source cites ages 40–89 for the Accendo/CVS Health product and ages 45–89 for the Protection Series [51], while another cites issue ages 40–89 [49].

Application speed was reported inconsistently. One source states Aetna renders an underwriting decision within a few minutes [52], another describes approval as quick as the same day or typically within 2–3 business days [53], and one platform notes the stated speed varies by application method [52].

The Modified plan waiting period was also described differently: some sources state 24 months, others cite 110% of premiums plus 10% on natural death during the waiting period [54].

Finally, one platform rated the overall fit mixed rather than good, citing mostly marketing evidence, unverified pricing and underwriting details, and inconsistent branding [42].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Aetna final expense cover pre-existing conditions like COPD without a medical exam?
  • Can a buyer apply for Aetna final expense online, or is a licensed agent required?

The features most relevant to a no-exam buyer are the underwriting method, the benefit tiers, the age and coverage range, and the application channel.

Underwriting avoids the exam but not the questions. The application asks about hospitalization or facility confinement, home health or hospice care, activities-of-daily-living assistance, oxygen or dialysis, pending procedures or tests, and major prior conditions [57]. The health-information authorization permits use of prescription history, diagnoses, treatment, and other medical information, and permits disclosure by providers, facilities, pharmacies, insurers, reinsurers, and consumer-reporting agencies; refusing authorization may result in the application being declined [58].

Underwriting tolerance for common conditions is a repeated theme. One independent review states most seniors can qualify for coverage with no waiting period despite conditions such as COPD, multiple sclerosis, or Parkinson's disease [59], and another states applicants with COPD can be approved for the Standard plan [60]. A third describes coverage of a wide range of common and manageable conditions without a medical exam [61]. These are independent review claims, not carrier guarantees.

Benefit structure varies by tier. Level and Standard plans are described as providing immediate coverage [62], while the Modified plan carries a two-year waiting period for natural-cause deaths with return of premiums plus interest [63]. Riders cited for level plans include Accelerated Death Benefit, Accidental Death Benefit, and Children's Term Rider, with Children's Term noted as unavailable on Modified plans [65].

Application channel is a real constraint. One independent review states that to buy an Aetna final expense policy, a buyer must meet with a licensed agent in person or by phone, and that Aetna does not allow this policy to be bought online or via mail [67]. Aetna senior-products training materials reference an electronic application, health-question review, coverage-level determination, and application-status tracking, but those materials are agent-facing [69].

Policy servicing is partly digital. One review states policyholders can create an online portal to view coverage and make minor updates, while beneficiary and payment changes require signed paper forms [71].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Aetna final expense cost per month, and are there setup or cancellation fees?
  • What happens to an Aetna final expense death benefit if the insured dies during the Modified plan waiting period?

Pricing is quote-dependent and was not verifiable from public materials. Two platforms explicitly rated pricing confidence low and found no reliable public rate table [73]. The premium depends on age, sex, tobacco use, coverage amount, health classification, and state [77].

Sample figures reported by independent sources, which are illustrative only:

Source typeSample
Independent review$40–$60/month for $10,000 immediate-level coverage for many seniors
Independent review~$32.50–$40/month at age 45; ~$55.83–$60/month at age 65; ~$286.67/month at age 89 for $10,000 level benefit
Independent review~$48/month for $10,000 at age 65 female non-tobacco Preferred tier
Independent review~$27/month for $10,000 level non-tobacco female age 50
Independent review12–24% more expensive than Mutual of Omaha at ages 50–70, with the gap narrowing at ages 80+

Fees were not verified. One platform found no separate application fee or recurring policy fee in reviewed materials, while noting that policy charges, rider costs, modal-payment charges, or reinstatement costs are unclear and should be confirmed from the policy illustration and contract [77]. Another notes possible cancellation fees or charges on policy surrender with exact amounts unspecified, plus optional rider premiums [80].

Contract terms center on permanence and the waiting period. Whole life policies are described as guaranteed to age 121 [81]. Level and Standard plans are described as immediate benefit with no waiting period, while the Modified plan pays 110% of premiums paid rather than the full death benefit if death from natural causes occurs during the waiting period; accidental deaths are described as covered at 100% regardless of plan type or waiting period [82]. One platform states the health authorization is valid for 24 months and that revocation may cause the application to be declined [77].

Free-look, cancellation, lapse, surrender, and grace-period terms were not established in the reviewed materials and should be verified in the state-specific policy form [77].

Best Suited For

Questions This Section Answers

  • Who is Aetna final expense best suited for among no-medical-exam buyers?
  • Is Aetna a good fit for a senior over 80 who needs permanent final expense coverage?

Aetna is best suited for applicants who want permanent whole life final expense coverage, can answer health questions, and will authorize prescription or medical-record review [84].

Specific buyer profiles supported by the supplied evidence:

  • Applicants in reasonably stable health who prefer level premiums and an established Aetna/CVS Health-affiliated distribution platform [84].
  • Seniors aged 40–89 seeking coverage without a medical exam, with one platform describing the maximum issue age of 89 as the highest on its independent agent panel [88].
  • Applicants with moderate health conditions who may qualify for a Standard or Preferred tier with day-one coverage instead of graded benefits [90].
  • Buyers who value a recognizable national carrier and are willing to work through a licensed agent [92].
  • Buyers seeking coverage amounts described as ranging from $2,000 to $50,000, subject to age and state limits [94].
  • Existing Aetna Medicare supplement policyholders, if a Super Preferred discount applies; one platform describes a super-preferred tier as 10% below the preferred rate, and another states it requires an existing Aetna Medicare supplement policy [86].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Aetna for No-Medical-Exam Final Expense Insurance?
  • Is Aetna final expense available to New York residents?

Aetna is probably not the best choice for buyers who need guaranteed acceptance, who refuse health questions or record review, or who live in New York.

Specific exclusions supported by the supplied evidence:

  • Applicants who need guaranteed-issue coverage with no health questions. Aetna is simplified issue, not guaranteed issue, and health answers can cause ineligibility, a different benefit level, or different pricing [95].
  • Applicants unwilling to authorize prescription-history, medical-record, or electronic-record checks [95].
  • New York residents. One independent review states the product is available in all U.S. states except New York [99], and other platforms repeat the New York exclusion [100].
  • Consumers who want a true on-demand online purchase with no agent contact. One review states the policy cannot be bought online or by mail and requires a licensed agent [102].
  • Applicants who have been declined by other simplified-issue carriers and need a guaranteed-issue alternative [96].
  • Buyers needing coverage above $50,000, since the described maximum is $50,000 and one platform states the maximum drops to $25,000 at ages 76 and older [105].
  • Men over 75 needing Standard or Modified tier coverage, which one platform states is unavailable to them [101].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Aetna for a buyer who needs guaranteed-issue final expense coverage?
  • When would a different carrier beat Aetna for no-medical-exam final expense insurance?

Another option may be better in five situations identified across the platform responses.

Guaranteed issue. When the buyer cannot qualify for simplified issue or does not want to answer health questions, a guaranteed-issue final expense policy from another carrier is the alternative, with the tradeoff of potentially higher premiums, lower limits, or an initial graded-benefit period [106].

New York residency. Because the product is described as unavailable in New York, a New York buyer must use an alternative carrier [108].

Healthy buyers under 75. One platform states Aetna is 12–24% more expensive than Mutual of Omaha for healthy buyers ages 50–70, and that healthy non-smoking applicants under 75 who can qualify for Mutual of Omaha Living Promise are probably not best served by Aetna [110]. Another states very healthy applicants or niche health cases may find slightly lower rates with other carriers [111].

Higher coverage needs. When the buyer needs more than $50,000, or more than $25,000 at ages 76 and older, a higher-limit term or universal life policy or a carrier with a higher simplified-issue ceiling may be better; one platform cites Transamerica FE Express Solution as offering up to $100,000 simplified issue for buyers under 75 [112].

Digital-first purchase. When the buyer prefers a fully online application and policy management, a carrier offering digital-first purchase is the alternative, since Aetna requires agent involvement [114].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Aetna before signing a final expense contract?
  • Which legal entity will issue and administer an Aetna final expense policy in my state?

The platform responses converge on a verification checklist. Buyers should confirm each item in writing before paying.

  • Which legal entity will issue the policy and which will administer it in the buyer's state [116].
  • Whether the product is currently available in the buyer's state on the application date [116].
  • The minimum and maximum face amounts, issue ages, tobacco classes, and available riders [116].
  • Whether the quoted policy provides immediate level benefits, graded benefits, or modified benefits, and for how long [116].
  • Whether the carrier will order prescription-history, MIB, electronic-health, or other consumer-reporting data, and what happens if records conflict with the application [116].
  • Which health answers or medical conditions would result in decline, a lower benefit level, a graded benefit, or a higher premium [116].
  • The exact monthly or annual premium, payment mode, any billing charge, and total projected premiums at ages 80, 90, and life expectancy assumptions [116].
  • The cash-value, nonforfeiture, lapse, grace-period, reinstatement, surrender, and free-look provisions [116].
  • Any exclusions, suicide provisions, contestability provisions, or accidental-death rider restrictions [116].
  • The expected decision timeline and whether the policy illustration and state-approved form can be reviewed before payment [116].
  • Whether beneficiary, address, and payment-method changes can be made online or require signed paper forms [130].
  • Whether an existing Aetna Medicare supplement policy qualifies the buyer for a Super Preferred discount [121].

Final AI Consensus Verdict

Aetna is a good, but not universally strong, fit for a U.S. consumer seeking permanent final expense coverage without a traditional blood-and-urine examination. Five of seven platforms named it during ranking discovery, six returned a usable fit assessment, and fit ratings were one strong, four good, and one mixed. The relevant product is simplified-issue whole life: no medical exam, but health questions and authorization for prescription, medical, and related-record review [133].

The strongest case for Aetna is the combination of permanent whole life coverage, level premiums, an A (Excellent) AM Best rating, and underwriting that avoids the exam while tolerating several common conditions [137]. The clearest limitations are that it is not guaranteed issue, it is described as unavailable in New York, it requires a licensed agent rather than direct online purchase, and current public pricing is not transparent enough for reliable side-by-side comparison [133].

Buyers should treat the platform agreement as a signal of repeated selection, not proof of product quality, and should verify issuer identity, state availability, benefit tier, and exact premium before committing. For a broader view of how this carrier compares with others in the same category, see the No-Medical-Exam Final Expense Insurance consensus index. Buyers who want to compare this niche against other coverage types can start with the life insurance category directory.

How This Review Was Produced

This review was generated from platform responses collected for the topic "Best No-Medical-Exam Final Expense Insurance" with a research date of 2026-09-21. Seven platforms were configured for the study. Five named Aetna during ranking discovery, and six returned a usable fit assessment. Fit ratings were aggregated as reported: strong (grok), good (anthropic, kimi, openai, perplexity), and mixed (deepseek).

Ranking statistics used in this review: average listed rank 3.0, best listed rank 2, platform mentions 5, platform share 71.4%. Citations are platform-reported evidence and were not independently verified by the writer stage. Company-owned sources are labeled as owned; independent reviews are labeled as independent; sources with unclear ownership are labeled as unclear.

Methodology Limitations

Several limitations apply to this review and should be weighed before acting on it.

Not all platforms returned a usable fit assessment. Six of seven included platforms returned a usable fit assessment, so the fit findings are not unanimous and should not be described as such. Platform mentions count only platforms that named the entity during ranking discovery.

Platform-reported research dates differ from the authoritative run date. The run research date is 2026-09-21. One platform reported a research date of 2026-02-06, while the others reported 2026-09-22. These platform-reported dates are provenance metadata and do not independently prove freshness.

Product identity is unresolved. The supplied ranking-stage names include Accendo Final Expense, Aetna Final Expense Whole Life, and CVS Health Final Expense Whole Life. Reviewed materials support an Accendo/Aetna/CVS Health relationship but do not establish that all names refer to one currently marketed policy in every state.

Pricing is not verifiable from public materials. Two platforms rated pricing confidence low and found no reliable public rate table. Sample rates cited in this review come from different independent sources and do not reconcile into a single rate.

Some cited documents predate 2026. Available brochures and training documents show publication or copyright dates before 2026, so current forms, underwriting rules, and availability may have changed.

Several claims are platform-reported or unverified. The reviewed materials do not independently establish financial-strength ratings, complaint ratios, customer outcomes, claim-payment performance, or a guaranteed application decision time for this specific product. One platform's response was produced without search enabled, so its claims require explicit verification before being treated as current facts.

The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Sources

Company-Owned Sources

  • CVS Health Final Expense Whole Life Insurance: https://www.cvshealth.com/
  • Official pricing and terms source: https://www.aetna.com/
  • Official pricing and terms source: https://www.aetna.com/#Find
  • Additional AI research evidence144 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:2-7
    3. AI research evidence record anthropic:2-8
    4. AI research evidence record anthropic:38-4
    5. AI research evidence record grok:web:0
    6. AI research evidence record perplexity:c2
    7. AI research evidence record anthropic:20-8
    8. AI research evidence record anthropic:38-7
    9. AI research evidence record anthropic:2-1
    10. AI research evidence record openai:c1
    11. AI research evidence record openai:c3
    12. AI research evidence record deepseek:c1
    13. AI research evidence record deepseek:c2
    14. AI research evidence record deepseek:c3
    15. AI research evidence record perplexity:c10
    16. AI research evidence record perplexity:c13
    17. AI research evidence record anthropic:19-3
    18. AI research evidence record anthropic:19-5
    19. AI research evidence record anthropic:38-3
    20. AI research evidence record grok:web:1
    21. AI research evidence record kimi:asurgo-aetna-1
    22. AI research evidence record anthropic:21-10
    23. AI research evidence record anthropic:28-10
    24. AI research evidence record openai:c1
    25. AI research evidence record perplexity:c3
    26. AI research evidence record anthropic:2-7
    27. AI research evidence record anthropic:2-8
    28. AI research evidence record anthropic:38-4
    29. AI research evidence record grok:web:0
    30. AI research evidence record perplexity:c2
    31. AI research evidence record anthropic:1-5
    32. AI research evidence record anthropic:27-5
    33. AI research evidence record anthropic:27-6
    34. AI research evidence record anthropic:11-1
    35. AI research evidence record openai:c2
    36. AI research evidence record anthropic:6-2
    37. AI research evidence record anthropic:40-13
    38. AI research evidence record grok:web:1
    39. AI research evidence record anthropic:20-8
    40. AI research evidence record anthropic:38-7
    41. AI research evidence record anthropic:2-1
    42. AI research evidence record deepseek:c1
    43. AI research evidence record deepseek:c2
    44. AI research evidence record perplexity:c1
    45. AI research evidence record perplexity:c2
    46. AI research evidence record anthropic:7-20
    47. AI research evidence record anthropic:36-2
    48. AI research evidence record kimi:asurgo-aetna-1
    49. AI research evidence record grok:web:1
    50. AI research evidence record anthropic:38-8
    51. AI research evidence record anthropic:27-1
    52. AI research evidence record anthropic:21-1
    53. AI research evidence record anthropic:5-1
    54. AI research evidence record anthropic:19-5
    55. AI research evidence record anthropic:28-10
    56. AI research evidence record deepseek:c3
    57. AI research evidence record openai:c2
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:21-9
    60. AI research evidence record anthropic:44-12
    61. AI research evidence record anthropic:10-1
    62. AI research evidence record anthropic:19-3
    63. AI research evidence record anthropic:19-5
    64. AI research evidence record kimi:asurgo-aetna-1
    65. AI research evidence record anthropic:38-3
    66. AI research evidence record anthropic:28-10
    67. AI research evidence record anthropic:21-11
    68. AI research evidence record anthropic:21-12
    69. AI research evidence record openai:c3
    70. AI research evidence record perplexity:c14
    71. AI research evidence record anthropic:39-5
    72. AI research evidence record anthropic:39-8
    73. AI research evidence record deepseek:c1
    74. AI research evidence record deepseek:c2
    75. AI research evidence record perplexity:c1
    76. AI research evidence record perplexity:c2
    77. AI research evidence record openai:c1
    78. AI research evidence record anthropic:27-1
    79. AI research evidence record grok:web:1
    80. AI research evidence record anthropic:1-5
    81. AI research evidence record anthropic:11-1
    82. AI research evidence record anthropic:19-5
    83. AI research evidence record anthropic:28-10
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:1-1
    86. AI research evidence record grok:web:1
    87. AI research evidence record anthropic:2-1
    88. AI research evidence record anthropic:27-1
    89. AI research evidence record kimi:asurgo-aetna-1
    90. AI research evidence record anthropic:21-9
    91. AI research evidence record anthropic:44-12
    92. AI research evidence record anthropic:21-11
    93. AI research evidence record deepseek:c4
    94. AI research evidence record anthropic:38-8
    95. AI research evidence record openai:c1
    96. AI research evidence record anthropic:1-1
    97. AI research evidence record perplexity:c1
    98. AI research evidence record anthropic:40-13
    99. AI research evidence record anthropic:6-9
    100. AI research evidence record grok:web:1
    101. AI research evidence record kimi:asurgo-aetna-1
    102. AI research evidence record anthropic:21-11
    103. AI research evidence record anthropic:21-12
    104. AI research evidence record kimi:asurgo-aig-1
    105. AI research evidence record anthropic:38-8
    106. AI research evidence record openai:c1
    107. AI research evidence record kimi:asurgo-aig-1
    108. AI research evidence record anthropic:6-9
    109. AI research evidence record grok:web:1
    110. AI research evidence record kimi:asurgo-aetna-1
    111. AI research evidence record anthropic:36-15
    112. AI research evidence record kimi:asurgo-transamerica-1
    113. AI research evidence record kimi:consumeradviser-transamerica-1
    114. AI research evidence record anthropic:21-11
    115. AI research evidence record anthropic:21-12
    116. AI research evidence record openai:c1
    117. AI research evidence record deepseek:c2
    118. AI research evidence record perplexity:c1
    119. AI research evidence record anthropic:6-9
    120. AI research evidence record anthropic:38-8
    121. AI research evidence record kimi:asurgo-aetna-1
    122. AI research evidence record anthropic:19-5
    123. AI research evidence record anthropic:40-13
    124. AI research evidence record anthropic:21-9
    125. AI research evidence record anthropic:7-20
    126. AI research evidence record anthropic:1-5
    127. AI research evidence record anthropic:28-10
    128. AI research evidence record anthropic:21-1
    129. AI research evidence record anthropic:5-1
    130. AI research evidence record anthropic:39-5
    131. AI research evidence record anthropic:39-8
    132. AI research evidence record grok:web:1
    133. AI research evidence record openai:c1
    134. AI research evidence record openai:c2
    135. AI research evidence record anthropic:1-1
    136. AI research evidence record grok:web:1
    137. AI research evidence record anthropic:20-8
    138. AI research evidence record anthropic:21-9
    139. AI research evidence record anthropic:44-12
    140. AI research evidence record grok:web:0
    141. AI research evidence record anthropic:6-9
    142. AI research evidence record anthropic:21-11
    143. AI research evidence record deepseek:c1
    144. AI research evidence record perplexity:c1

Independent Sources

  • Aetna Final Expense Rates by Age (2026): Real Monthly Costs: https://asurgo.com/insurance-reviews/aetna-senior-products
  • AIG Life Insurance Review (2026): Is It Still Worth It?: https://asurgo.com/insurance-reviews/aig
  • Transamerica Life Insurance Review (2026): Real Rates & Costs: https://asurgo.com/insurance-reviews/transamerica
  • Aetna Final Expense Insurance Review (2026 Pros & Cons: https://choicemutual.com/life-insurance-reviews/aetna-final-expense/
  • Aetna Accendo Insurance Company For Seniors | Complete Guide: https://finalexpensebenefits.org/aetna-accendo-life-insurance-review/
  • Aetna Life Insurance Review (Accendo and Protection Series: https://getsure.org/reviews/aetna-final-expense-insurance/
  • Aetna (Accendo) Final Expense Insurance Review: https://guaranteedlifeinsured.com/aetna-final-expense-review/
  • Aetna Final Expense Insurance Review 2025: Is It Right For You? - Insurance By Heroes: https://insurancebyheroes.com/aetna-final-expense-insurance-review-2025-is-it-right-for-you/
  • Best Final Expense Insurance Companies of 2026 - Palmetto Mutual: https://palmettomutual.com/final-expense-companies/
  • Aetna Final Expense Insurance Review in 2024 - Paramount Quote: https://paramountquote.com/aetna-final-expense-insurance-review/
  • Transamerica Final Expense Review (2026): Rates & Our Score: https://www.consumeradviser.org/final-expense/reviews/transamerica-review
  • Aetna Life Insurance Review (2026): Pros & Cons, Ratings: https://www.ethos.com/life-insurance/aetna-life-insurance-review/
  • Final Expense Insurance Rates | Burial Insurance Costs: https://www.insurancegeek.com/life-insurance/rates/final-expense/
  • Is Aetna Final Expense Insurance Really the Smart Choice for Seniors in 2026? - PinnacleQuote: https://www.pinnaclequote.com/blog/aetna-final-expense-insurance-review/
  • Additional AI research evidence144 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:2-7
    3. AI research evidence record anthropic:2-8
    4. AI research evidence record anthropic:38-4
    5. AI research evidence record grok:web:0
    6. AI research evidence record perplexity:c2
    7. AI research evidence record anthropic:20-8
    8. AI research evidence record anthropic:38-7
    9. AI research evidence record anthropic:2-1
    10. AI research evidence record openai:c1
    11. AI research evidence record openai:c3
    12. AI research evidence record deepseek:c1
    13. AI research evidence record deepseek:c2
    14. AI research evidence record deepseek:c3
    15. AI research evidence record perplexity:c10
    16. AI research evidence record perplexity:c13
    17. AI research evidence record anthropic:19-3
    18. AI research evidence record anthropic:19-5
    19. AI research evidence record anthropic:38-3
    20. AI research evidence record grok:web:1
    21. AI research evidence record kimi:asurgo-aetna-1
    22. AI research evidence record anthropic:21-10
    23. AI research evidence record anthropic:28-10
    24. AI research evidence record openai:c1
    25. AI research evidence record perplexity:c3
    26. AI research evidence record anthropic:2-7
    27. AI research evidence record anthropic:2-8
    28. AI research evidence record anthropic:38-4
    29. AI research evidence record grok:web:0
    30. AI research evidence record perplexity:c2
    31. AI research evidence record anthropic:1-5
    32. AI research evidence record anthropic:27-5
    33. AI research evidence record anthropic:27-6
    34. AI research evidence record anthropic:11-1
    35. AI research evidence record openai:c2
    36. AI research evidence record anthropic:6-2
    37. AI research evidence record anthropic:40-13
    38. AI research evidence record grok:web:1
    39. AI research evidence record anthropic:20-8
    40. AI research evidence record anthropic:38-7
    41. AI research evidence record anthropic:2-1
    42. AI research evidence record deepseek:c1
    43. AI research evidence record deepseek:c2
    44. AI research evidence record perplexity:c1
    45. AI research evidence record perplexity:c2
    46. AI research evidence record anthropic:7-20
    47. AI research evidence record anthropic:36-2
    48. AI research evidence record kimi:asurgo-aetna-1
    49. AI research evidence record grok:web:1
    50. AI research evidence record anthropic:38-8
    51. AI research evidence record anthropic:27-1
    52. AI research evidence record anthropic:21-1
    53. AI research evidence record anthropic:5-1
    54. AI research evidence record anthropic:19-5
    55. AI research evidence record anthropic:28-10
    56. AI research evidence record deepseek:c3
    57. AI research evidence record openai:c2
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:21-9
    60. AI research evidence record anthropic:44-12
    61. AI research evidence record anthropic:10-1
    62. AI research evidence record anthropic:19-3
    63. AI research evidence record anthropic:19-5
    64. AI research evidence record kimi:asurgo-aetna-1
    65. AI research evidence record anthropic:38-3
    66. AI research evidence record anthropic:28-10
    67. AI research evidence record anthropic:21-11
    68. AI research evidence record anthropic:21-12
    69. AI research evidence record openai:c3
    70. AI research evidence record perplexity:c14
    71. AI research evidence record anthropic:39-5
    72. AI research evidence record anthropic:39-8
    73. AI research evidence record deepseek:c1
    74. AI research evidence record deepseek:c2
    75. AI research evidence record perplexity:c1
    76. AI research evidence record perplexity:c2
    77. AI research evidence record openai:c1
    78. AI research evidence record anthropic:27-1
    79. AI research evidence record grok:web:1
    80. AI research evidence record anthropic:1-5
    81. AI research evidence record anthropic:11-1
    82. AI research evidence record anthropic:19-5
    83. AI research evidence record anthropic:28-10
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:1-1
    86. AI research evidence record grok:web:1
    87. AI research evidence record anthropic:2-1
    88. AI research evidence record anthropic:27-1
    89. AI research evidence record kimi:asurgo-aetna-1
    90. AI research evidence record anthropic:21-9
    91. AI research evidence record anthropic:44-12
    92. AI research evidence record anthropic:21-11
    93. AI research evidence record deepseek:c4
    94. AI research evidence record anthropic:38-8
    95. AI research evidence record openai:c1
    96. AI research evidence record anthropic:1-1
    97. AI research evidence record perplexity:c1
    98. AI research evidence record anthropic:40-13
    99. AI research evidence record anthropic:6-9
    100. AI research evidence record grok:web:1
    101. AI research evidence record kimi:asurgo-aetna-1
    102. AI research evidence record anthropic:21-11
    103. AI research evidence record anthropic:21-12
    104. AI research evidence record kimi:asurgo-aig-1
    105. AI research evidence record anthropic:38-8
    106. AI research evidence record openai:c1
    107. AI research evidence record kimi:asurgo-aig-1
    108. AI research evidence record anthropic:6-9
    109. AI research evidence record grok:web:1
    110. AI research evidence record kimi:asurgo-aetna-1
    111. AI research evidence record anthropic:36-15
    112. AI research evidence record kimi:asurgo-transamerica-1
    113. AI research evidence record kimi:consumeradviser-transamerica-1
    114. AI research evidence record anthropic:21-11
    115. AI research evidence record anthropic:21-12
    116. AI research evidence record openai:c1
    117. AI research evidence record deepseek:c2
    118. AI research evidence record perplexity:c1
    119. AI research evidence record anthropic:6-9
    120. AI research evidence record anthropic:38-8
    121. AI research evidence record kimi:asurgo-aetna-1
    122. AI research evidence record anthropic:19-5
    123. AI research evidence record anthropic:40-13
    124. AI research evidence record anthropic:21-9
    125. AI research evidence record anthropic:7-20
    126. AI research evidence record anthropic:1-5
    127. AI research evidence record anthropic:28-10
    128. AI research evidence record anthropic:21-1
    129. AI research evidence record anthropic:5-1
    130. AI research evidence record anthropic:39-5
    131. AI research evidence record anthropic:39-8
    132. AI research evidence record grok:web:1
    133. AI research evidence record openai:c1
    134. AI research evidence record openai:c2
    135. AI research evidence record anthropic:1-1
    136. AI research evidence record grok:web:1
    137. AI research evidence record anthropic:20-8
    138. AI research evidence record anthropic:21-9
    139. AI research evidence record anthropic:44-12
    140. AI research evidence record grok:web:0
    141. AI research evidence record anthropic:6-9
    142. AI research evidence record anthropic:21-11
    143. AI research evidence record deepseek:c1
    144. AI research evidence record perplexity:c1

Other Sources

  • Final Expense – CVS Health: https://premiersmi.com/cvs-health/
  • Accendo Final Expense Individual Whole Life Insurance application: https://smsteam.net/wp-content/uploads/products/Accendo-Final-Expense-Application-Pack-ND.pdf
  • CVS Health Final Expense - Tidewater Management Group: https://tidewatermg.com/tidewater-carrier-index/cvs-health-final-expense/
  • Additional AI research evidence144 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:2-7
    3. AI research evidence record anthropic:2-8
    4. AI research evidence record anthropic:38-4
    5. AI research evidence record grok:web:0
    6. AI research evidence record perplexity:c2
    7. AI research evidence record anthropic:20-8
    8. AI research evidence record anthropic:38-7
    9. AI research evidence record anthropic:2-1
    10. AI research evidence record openai:c1
    11. AI research evidence record openai:c3
    12. AI research evidence record deepseek:c1
    13. AI research evidence record deepseek:c2
    14. AI research evidence record deepseek:c3
    15. AI research evidence record perplexity:c10
    16. AI research evidence record perplexity:c13
    17. AI research evidence record anthropic:19-3
    18. AI research evidence record anthropic:19-5
    19. AI research evidence record anthropic:38-3
    20. AI research evidence record grok:web:1
    21. AI research evidence record kimi:asurgo-aetna-1
    22. AI research evidence record anthropic:21-10
    23. AI research evidence record anthropic:28-10
    24. AI research evidence record openai:c1
    25. AI research evidence record perplexity:c3
    26. AI research evidence record anthropic:2-7
    27. AI research evidence record anthropic:2-8
    28. AI research evidence record anthropic:38-4
    29. AI research evidence record grok:web:0
    30. AI research evidence record perplexity:c2
    31. AI research evidence record anthropic:1-5
    32. AI research evidence record anthropic:27-5
    33. AI research evidence record anthropic:27-6
    34. AI research evidence record anthropic:11-1
    35. AI research evidence record openai:c2
    36. AI research evidence record anthropic:6-2
    37. AI research evidence record anthropic:40-13
    38. AI research evidence record grok:web:1
    39. AI research evidence record anthropic:20-8
    40. AI research evidence record anthropic:38-7
    41. AI research evidence record anthropic:2-1
    42. AI research evidence record deepseek:c1
    43. AI research evidence record deepseek:c2
    44. AI research evidence record perplexity:c1
    45. AI research evidence record perplexity:c2
    46. AI research evidence record anthropic:7-20
    47. AI research evidence record anthropic:36-2
    48. AI research evidence record kimi:asurgo-aetna-1
    49. AI research evidence record grok:web:1
    50. AI research evidence record anthropic:38-8
    51. AI research evidence record anthropic:27-1
    52. AI research evidence record anthropic:21-1
    53. AI research evidence record anthropic:5-1
    54. AI research evidence record anthropic:19-5
    55. AI research evidence record anthropic:28-10
    56. AI research evidence record deepseek:c3
    57. AI research evidence record openai:c2
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:21-9
    60. AI research evidence record anthropic:44-12
    61. AI research evidence record anthropic:10-1
    62. AI research evidence record anthropic:19-3
    63. AI research evidence record anthropic:19-5
    64. AI research evidence record kimi:asurgo-aetna-1
    65. AI research evidence record anthropic:38-3
    66. AI research evidence record anthropic:28-10
    67. AI research evidence record anthropic:21-11
    68. AI research evidence record anthropic:21-12
    69. AI research evidence record openai:c3
    70. AI research evidence record perplexity:c14
    71. AI research evidence record anthropic:39-5
    72. AI research evidence record anthropic:39-8
    73. AI research evidence record deepseek:c1
    74. AI research evidence record deepseek:c2
    75. AI research evidence record perplexity:c1
    76. AI research evidence record perplexity:c2
    77. AI research evidence record openai:c1
    78. AI research evidence record anthropic:27-1
    79. AI research evidence record grok:web:1
    80. AI research evidence record anthropic:1-5
    81. AI research evidence record anthropic:11-1
    82. AI research evidence record anthropic:19-5
    83. AI research evidence record anthropic:28-10
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:1-1
    86. AI research evidence record grok:web:1
    87. AI research evidence record anthropic:2-1
    88. AI research evidence record anthropic:27-1
    89. AI research evidence record kimi:asurgo-aetna-1
    90. AI research evidence record anthropic:21-9
    91. AI research evidence record anthropic:44-12
    92. AI research evidence record anthropic:21-11
    93. AI research evidence record deepseek:c4
    94. AI research evidence record anthropic:38-8
    95. AI research evidence record openai:c1
    96. AI research evidence record anthropic:1-1
    97. AI research evidence record perplexity:c1
    98. AI research evidence record anthropic:40-13
    99. AI research evidence record anthropic:6-9
    100. AI research evidence record grok:web:1
    101. AI research evidence record kimi:asurgo-aetna-1
    102. AI research evidence record anthropic:21-11
    103. AI research evidence record anthropic:21-12
    104. AI research evidence record kimi:asurgo-aig-1
    105. AI research evidence record anthropic:38-8
    106. AI research evidence record openai:c1
    107. AI research evidence record kimi:asurgo-aig-1
    108. AI research evidence record anthropic:6-9
    109. AI research evidence record grok:web:1
    110. AI research evidence record kimi:asurgo-aetna-1
    111. AI research evidence record anthropic:36-15
    112. AI research evidence record kimi:asurgo-transamerica-1
    113. AI research evidence record kimi:consumeradviser-transamerica-1
    114. AI research evidence record anthropic:21-11
    115. AI research evidence record anthropic:21-12
    116. AI research evidence record openai:c1
    117. AI research evidence record deepseek:c2
    118. AI research evidence record perplexity:c1
    119. AI research evidence record anthropic:6-9
    120. AI research evidence record anthropic:38-8
    121. AI research evidence record kimi:asurgo-aetna-1
    122. AI research evidence record anthropic:19-5
    123. AI research evidence record anthropic:40-13
    124. AI research evidence record anthropic:21-9
    125. AI research evidence record anthropic:7-20
    126. AI research evidence record anthropic:1-5
    127. AI research evidence record anthropic:28-10
    128. AI research evidence record anthropic:21-1
    129. AI research evidence record anthropic:5-1
    130. AI research evidence record anthropic:39-5
    131. AI research evidence record anthropic:39-8
    132. AI research evidence record grok:web:1
    133. AI research evidence record openai:c1
    134. AI research evidence record openai:c2
    135. AI research evidence record anthropic:1-1
    136. AI research evidence record grok:web:1
    137. AI research evidence record anthropic:20-8
    138. AI research evidence record anthropic:21-9
    139. AI research evidence record anthropic:44-12
    140. AI research evidence record grok:web:0
    141. AI research evidence record anthropic:6-9
    142. AI research evidence record anthropic:21-11
    143. AI research evidence record deepseek:c1
    144. AI research evidence record perplexity:c1

Verify this research

Check when the research was run, which platforms were included, and what supports the findings.

Study date
September 21, 2026
Platforms analyzed
7
Source records
30
Ranking mentions
5 of 7
Platform share
71%
Final consensus rank
#3

Behind the findings

Platforms in this study

  • ChatGPT
  • Claude
  • DeepSeek
  • Grok
  • Perplexity
  • Kimi
  • Gemini

Source records

17 independent · 9 company-owned · 4 unclear

Evidence support

13 direct · 16 partial

Keep in mind

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Technical verification details

Use this SHA-256 fingerprint to identify the source snapshot associated with this study.

b99eddd661f908537111773fae0818ca035a0161f67d4616d4f2321eb40754f7