Life Insurance
Consensus Index

AI Consensus Fit Review

Royal Neighbors of America Final Expense Insurance Fit Review for People With Diabetes

Royal Neighbors of America is a good fit for many seniors with diabetes seeking $15,000–$25,000 of permanent final expense coverage, and a strong fit for applicants whose diabetes is controlled without insulin or who began insulin at age 30 or later without major complications.

Research: 2026-09-227 usable platform responsesRead the methodology ↗

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Answer Capsule

Royal Neighbors of America is a good fit for many seniors with diabetes seeking $15,000–$25,000 of permanent final expense coverage, and a strong fit for applicants whose diabetes is controlled without insulin or who began insulin at age 30 or later without major complications. Six of seven platforms named Royal Neighbors during the ranking stage (86% of included platform responses), with an average listed rank of 6.3 and a best rank of 1. The strongest reason to consider it is explicitly diabetes-friendly simplified-issue underwriting with level-benefit availability. The main limitation is that public sources conflict on maximum face amounts, current pricing, and how neuropathy cases are treated, so a state-specific quote and prequalification are required.

Research Snapshot

FieldFinding
Platform mentions in ranking stage6 of 7 platforms (anthropic, deepseek, google, grok, kimi, perplexity)
Share of included platform responses86% (0.857)
Average listed rank6.3
Best listed rank1 (google)
Relevant product/model/planEnsured Legacy Final Expense — Simplified Issue Whole Life (SIWL), with graded and guaranteed-issue tiers
Overall use-case fitStrong (2 platforms); Good (3 platforms); Mixed (1 platform); Uncertain (1 platform) — 7 platforms analyzed
Research date2026-09-22

Why Royal Neighbors of America Qualified for This Study

Questions This Section Answers

  • Why did Royal Neighbors of America qualify as a finalist for final expense insurance for people with diabetes?
  • How many AI platforms named Royal Neighbors of America for diabetic final expense coverage?

Royal Neighbors of America qualified because it cleared the study's minimum-mention threshold and appeared in six of seven platform responses during the ranking stage, the highest mention share among the finalists reviewed here. The platforms that named it were anthropic, deepseek, google, grok, kimi, and perplexity. Its best listed rank was 1 (google) and its average listed rank was 6.3, so it was consistently named but not consistently ranked at the top.

The company is a fraternal benefit society that offers simplified-issue whole life and final expense products, which structurally match the buyer's need for permanent coverage with health-question underwriting rather than a full medical exam [1]. Royal Neighbors describes final expense as whole life coverage with smaller face amounts and a simplified application process [3]. Independent reviews also describe the final expense product as simplified-issue whole life with no medical exam and fixed lifetime premiums [4].

Qualification was based on ranking-stage mentions, not on verified product superiority. The deterministic identity audit notes that official-site retrieval failed for one or more mentions and that identity used an exact-name fallback, so the matching domain remains unverified. That context matters when reading the rest of this review.

The Product, Model, Plan, or Service Most Relevant to Final Expense Insurance for People With Diabetes

Questions This Section Answers

  • Which Royal Neighbors of America plan is most relevant for a senior with diabetes who needs $15,000 to $25,000 of final expense coverage?
  • Does Royal Neighbors of America's Ensured Legacy Final Expense SIWL cover the $15,000–$25,000 face amount a diabetic buyer needs?

The most relevant offering is Ensured Legacy Final Expense, specifically its Simplified Issue Whole Life (SIWL) version, with graded death benefit and guaranteed-issue tiers as fallbacks. Royal Neighbors identifies final expense as whole life coverage with smaller face amounts and a simplified application process [7]. The Ensured Legacy product page lists SIWL, graded death benefit, and guaranteed-issue coverage options with a $5,000–$40,000 range and accelerated death benefit, charitable giving, and grandchild riders [8]. A product portfolio document also identifies Simplified Issue Whole Life as a Royal Neighbors final-expense type product [10].

Coverage limits are the single most conflicted data point in this study. The 2024 Ensured Legacy agent guide lists SIWL face amounts of $5,000–$40,000 for Standard and $25,000–$40,000 for Preferred [11]. A separate older SIWL rate guide lists a $5,000–$25,000 range [12]. Other documents list $7,000–$30,000 [13], $5,000–$25,000 [14], and payouts of $7,000–$50,000 [17]. One independent review notes the conflict directly and attributes variation to product version or channel [18]. The buyer's $15,000–$25,000 target falls inside every one of these stated ranges, but the applicable current limit for a specific state and underwriting class must be confirmed.

Issue ages are also reported inconsistently. Sources list ages 50–85 [12], 50–80 [13], and 50–78 for graded death benefit in Washington [15]. The graded death benefit option is reported as available only in Connecticut, Florida, and North Dakota [13].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree on about Royal Neighbors of America for final expense insurance with diabetes?
  • Is Royal Neighbors of America considered diabetes-friendly for simplified-issue final expense coverage?

Platforms agreed on four points with strong or unanimous support.

First, the product is permanent whole life with level premiums. Multiple platforms describe fixed premiums for life that do not increase with age or worsening health [20]. The 2024 guide states premiums are payable for the insured's life or until age 121 [25].

Second, underwriting is simplified issue with no medical exam. Public sources consistently describe health questions and prescription review instead of an exam [26]. The application asks specifically about diabetes with insulin use, diabetes-related amputation, kidney disease, and other major conditions [29].

Third, diabetes without insulin is treated favorably. The current agent risk chart marks diabetes without insulin as acceptable for Preferred, Standard, graded, and guaranteed-issue categories [31]. A separate risk assessment chart shows an "A" rating available across Preferred and Standard classes for diabetes without insulin [32].

Fourth, insulin use without documented complications can still qualify for Standard-level coverage. The risk chart shows insulin use without complications as acceptable for Standard, graded, and guaranteed-issue categories, though not Preferred [31]. Independent reviews describe Royal Neighbors as comparatively lenient on diabetes complications such as neuropathy and retinopathy [28].

Agreement among platforms is not proof of product quality. It reflects that multiple systems found similar public and agent-facing documents.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • What is uncertain about Royal Neighbors of America's underwriting for diabetic final expense applicants?
  • Do AI platforms disagree about whether Royal Neighbors of America covers diabetic neuropathy at level benefits?

Disagreement and uncertainty cluster in five areas.

Maximum face amount. Sources cite $25,000, $30,000, $40,000, and $50,000 depending on product version, channel, or state [34]. One platform explicitly flags this as unresolved [38].

Neuropathy treatment. Some 2026 sources say Royal Neighbors frequently approves diabetic neuropathy at simplified issue with full day-one coverage [40]. Others report recent tightening that may push neuropathy cases to graded benefits [42]. One platform notes that diabetic neuropathy is not asked on the application at all [43], while another states that insulin use with kidney disease, neuropathy, or another complication is unavailable for Standard but acceptable for graded and guaranteed issue [45]. These positions are not fully reconcilable from the supplied evidence.

Insulin onset age. Multiple sources say applicants who began insulin at age 30 or later can qualify for level coverage [43]. One source says diagnosis or insulin start before age 29 results in a decline for level coverage [47]. Whether the cutoff is 29 or 30 may vary by state filing [44].

Pricing. No platform produced a verifiable current quote for the target profile. Reported certificate fees conflict: $50 annually [34], $30 annually [48], and $4.35 monthly [49]. Pricing confidence was rated low by openai, deepseek, perplexity, and kimi, and moderate by anthropic and grok.

State availability. One platform lists excluded states as Alabama, Alaska, Hawaii, Louisiana, Massachusetts, New Hampshire, and New York [50]. Another says Royal Neighbors is not licensed in some states and territories without listing them [38]. The exact current list should be verified.

One platform, kimi, rated the fit as uncertain and stated that no source ranked Royal Neighbors among best carriers for diabetic final expense insurance and that no published diabetes-specific underwriting criteria were found [52]. That position conflicts with the agent-facing risk charts cited by other platforms. The disagreement likely reflects differences in which documents each platform retrieved rather than a factual contradiction about the product itself.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • What features does Royal Neighbors of America's final expense policy offer a senior with diabetes?
  • Does Royal Neighbors of America's final expense policy include an accelerated death benefit for terminal illness?

The features most relevant to a diabetic buyer are underwriting treatment, benefit structure, and living benefits.

Diabetes underwriting. Diabetes without insulin is shown as acceptable even for the Preferred category in the cited underwriting chart [54]. Insulin use without listed complications may qualify for Standard [54]. Insulin use with kidney disease, neuropathy, or another complication is shown as unavailable for Standard but acceptable for graded and guaranteed issue [54]. Diabetic neuropathy is reported as not asked on the application [56]. No height-weight build chart is used, which one platform notes helps overweight diabetic applicants [58].

Benefit structure. SIWL is described as having a level death benefit and guaranteed level premium [59]. The graded option pays 30% of face amount in the first certificate year, 70% in the second, and 100% thereafter [59]. One platform describes graded tiers as having a two-year partial benefit for natural death [61].

Application process. The product guide describes electronic, phone, and paper application options with an underwriting workflow intended to provide a decision after application completion [59]. One platform describes a telephone interview by MRS with point-of-sale approval in most cases and issuance within one to two business days [62]. Another notes that EFT payment is required for telephone-based approval and that credit or debit cards are not accepted [56].

Living benefits. An accelerated death benefit rider may be available on SIWL when the face amount is at least $7,000, subject to qualifying terminal or confinement conditions, with a maximum of the lesser of 75% of the death benefit or $100,000 and a possible administrative fee and lien interest [60]. One platform describes the accelerated living benefit rider as built in at no extra premium cost for terminal conditions and permanent nursing home confinement [64]. Another states the rider is not available on guaranteed issue [63].

Financial strength. Royal Neighbors' website states that AM Best rated it A (Excellent) as of December 11, 2025 [65]. This is company-reported information and should be checked against the current AM Best record before purchase.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Royal Neighbors of America final expense insurance cost per month for a senior with diabetes?
  • What fees and contract terms apply to Royal Neighbors of America's final expense policy?

No reliable current quote was publicly verifiable for the target buyer. Pricing confidence was rated low by four platforms (openai, deepseek, perplexity, kimi) and moderate by two (anthropic, grok). Premiums depend on age, sex, tobacco status, state, product version, underwriting class, payment mode, and health details [66].

Reported cost components conflict across sources:

Cost itemReported amountSource
Annual certificate fee$50
Annual certificate fee$30
Certificate fee$4.35 per month
Accelerated benefit administrative feeUp to $100
Modal factor for monthly EFT0.087 (about 8.7% of annual rate)

Illustrative sample rates from one platform, based on 2019–2024 rate tables and not diabetes-specific: a 60-year-old non-tobacco male pays approximately $546 per year for $10,000 of coverage, and a 60-year-old non-tobacco female pays approximately $410 per year [68]. Another platform reports sample rates for $15,000 of non-smoker coverage ranging from roughly $50 to $300+ per month depending on age and gender, with an example of about $65 per month for a 65-year-old female [69]. These figures are illustrative only and do not represent a quote for any specific diabetic applicant.

Contract terms reported by platforms include a 30-day free-look period, or longer if required by state [66]; premiums payable for life or until age 121 [66]; nonpayment leading to lapse, automatic premium loan, reduced paid-up insurance, extended-term insurance, or cash surrender depending on policy provisions [66]; and reinstatement possibly available within three years after the grace period with evidence of insurability and interest on past-due premiums [66]. One platform notes that applicants with three or more lapsed policies at Royal Neighbors are ineligible [70].

The product is participating whole life, but the guide states dividends are not expected to be paid and are not guaranteed [66]. Loans, accelerated benefits, unpaid premiums, and accrued interest can reduce the amount payable [66]. One platform reports cash value can be borrowed against at 8% interest in arrears, or 6% in Montana [71].

Best Suited For

Questions This Section Answers

  • Who is Royal Neighbors of America's final expense insurance best suited for among seniors with diabetes?
  • Is Royal Neighbors of America a good choice for a diabetic senior who wants level benefits with no waiting period?

Royal Neighbors is best suited for applicants ages 50–85 seeking approximately $15,000–$25,000 of permanent coverage [72]. Within that group, the strongest fits are:

  • Applicants with diabetes controlled without insulin who want a level death benefit [75].
  • Some insulin-using applicants without kidney disease, neuropathy, or other diabetes complications [75].
  • Applicants who began insulin at age 30 or later and want first-day level coverage [77].
  • Applicants with diabetic neuropathy or retinopathy who want first-day full coverage without waiting periods, based on sources reporting lenient treatment of these conditions [79].
  • Overweight or obese applicants with diabetes, because the carrier does not use a height-weight build chart [81].
  • Applicants who value simplified issue and potentially rapid electronic underwriting [72].
  • Applicants taking certain blood thinners such as warfarin or coumadin alongside diabetes management [77].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Royal Neighbors of America for final expense insurance with diabetes?
  • Is Royal Neighbors of America a poor fit for a diabetic applicant who began insulin before age 30?

Royal Neighbors is probably not the best fit for several buyer profiles:

  • Applicants who began insulin before age 30, who are reported as ineligible for level SIWL coverage and limited to graded or guaranteed-issue tiers [82].
  • Applicants with insulin-dependent diabetes plus kidney disease, neuropathy, amputation, or other significant complications who may receive only graded or guaranteed-issue treatment [84].
  • Applicants needing more than the product's applicable face-amount limit or broader fully underwritten coverage [86].
  • Buyers who need guaranteed issue with no health questions and want to minimize premiums [86].
  • Buyers who need certainty that $25,000 is available in all channels or states, because public sources conflict on maximum face amount [89].
  • Smokers seeking competitive pricing, since tobacco rates are substantially higher [82].
  • Applicants in states where the product is unavailable, reported to include Alabama, Alaska, Hawaii, Louisiana, Massachusetts, New Hampshire, and New York [91].
  • Applicants who cannot complete a telephone interview, refuse identity verification, lack a Social Security number, or have been prescribed automatic-decline medications [93].
  • Applicants with three or more lapsed certificates at Royal Neighbors [93].

When Another Option May Be Better

Questions This Section Answers

  • When is another carrier a better choice than Royal Neighbors of America for a diabetic final expense buyer?
  • What alternatives should a buyer compare against Royal Neighbors of America for final expense insurance with diabetes?

Another option may be better in these situations:

  • Another carrier offers a lower guaranteed premium for the same face amount and identical diabetes profile (openai).
  • The applicant has significant diabetes complications and needs a carrier whose current underwriting guide is more favorable for those complications (openai).
  • The applicant cannot qualify for level-benefit SIWL and wants to compare graded-benefit waiting periods and guaranteed-issue pricing across several carriers (openai).
  • The buyer needs coverage materially above the available final-expense limits or wants fully underwritten coverage with potentially different pricing (openai).
  • The applicant began insulin before age 30 and needs a carrier with more lenient insulin-onset age restrictions (anthropic).
  • The applicant is under age 50 or over age 80, outside the reported SIWL issue age range (anthropic).
  • The buyer seeks cheaper rates at ages 50–59, where some competitors may offer lower premiums (anthropic).
  • The buyer prefers credit or debit card payment without an EFT requirement (anthropic).
  • The buyer wants a medical exam option to qualify for better health-based pricing (anthropic).
  • The buyer is in a state where Royal Neighbors is unavailable (grok, perplexity).
  • The buyer wants published rate certainty, since carriers such as Mutual of Omaha, Aflac, Transamerica, AIG/Corebridge, and Aetna/Accendo have 2026 rates documented in one comparison [94].
  • The buyer values a diabetes management support program, which one platform attributes to John Hancock rather than Royal Neighbors [95].

For a broader view of how this carrier compares with other finalists, see the Final Expense Insurance for People With Diabetes consensus index.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Royal Neighbors of America before signing a final expense contract with diabetes?
  • Which diabetes details does Royal Neighbors of America need to determine eligibility for level coverage?

Before applying, confirm these items with an authorized agent or directly with Royal Neighbors:

  1. For the applicant's state and age, is Ensured Legacy Final Expense SIWL currently available? (openai)
  2. Does diabetes controlled with the applicant's specific medications qualify for level-benefit SIWL? (openai)
  3. If insulin is used, are there exclusions or underwriting limits based on diabetes duration, A1C, dosage, kidney function, neuropathy, retinopathy, vascular disease, or prior hospitalization? (openai)
  4. Does the requested $15,000–$25,000 amount fall within the current state-specific SIWL limit? (openai)
  5. What is the exact monthly or annual premium, including the certificate fee and any rider charges? (openai)
  6. Is the death benefit level from issue, or would the application be issued as graded or modified? (openai)
  7. What is the graded-benefit schedule and what happens if death results from illness during the graded period? (openai)
  8. Are there state-specific differences in free-look, grace-period, lapse, reinstatement, and nonforfeiture provisions? (openai)
  9. What cash value, loan interest rate, surrender value, and reduced-paid-up values are illustrated? (openai)
  10. Is the accelerated death benefit rider included, available in the applicant's state, and subject to a lien or administrative fee? (openai)
  11. What current AM Best rating and certificate form apply to the issuing entity? (openai)
  12. At what age did the applicant begin taking insulin, and does that age meet the level-coverage threshold in the applicant's state? (anthropic, google)
  13. Are any current medications on Royal Neighbors' automatic-decline list? (anthropic)
  14. What is the current maximum aggregate insurance limit for SIWL at Royal Neighbors, and does it include other policies with the company? (anthropic)
  15. Is the quoted policy the level, graded, or another version of final expense whole life? (perplexity)
  16. What fraternal membership requirements exist and what ongoing obligations or fees apply? (deepseek, kimi)

Final AI Consensus Verdict

Royal Neighbors of America is a good fit for many seniors with diabetes seeking $15,000–$25,000 of permanent final expense coverage, with the strongest case for applicants whose diabetes is controlled without insulin or who began insulin at age 30 or later without documented complications. Six of seven platforms named it during the ranking stage, and platform fit ratings ranged from strong (anthropic, google) to good (openai, deepseek, grok) to mixed (perplexity) to uncertain (kimi).

It is not a definitive best choice without a current state-specific quote and underwriting prequalification. Public product limits and pricing information are inconsistent or incomplete, neuropathy treatment is disputed across 2026 sources, and no platform produced a verifiable current premium for the target profile. Buyers should treat diabetes eligibility as underwriting-dependent and confirm every material term before applying.

How This Review Was Produced

This review was produced from seven platform fit-research responses collected for the topic "Best Final Expense Insurance for People With Diabetes." The study research date is 2026-09-22. Each platform evaluated Royal Neighbors of America against the same buyer prompt: a senior with diabetes seeking approximately $15,000–$25,000 of permanent final expense life insurance from a carrier whose underwriting may be reasonably favorable for well-managed or otherwise insurable diabetes.

Platform mentions in the ranking stage count only platforms that named the entity during ranking discovery. All seven included platforms evaluated fit, but the mention count reflects ranking-stage naming only. Fit ratings by platform were: anthropic strong, deepseek good, google strong, grok good, kimi uncertain, openai good, perplexity mixed.

Citations in this article are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Where a platform supplied no citation for a factual claim, the claim is labeled platform-reported or unverified.

Methodology Limitations

Several limitations affect how much weight this review can carry.

Platform-reported research dates differ from the authoritative run date. Anthropic reported 2025-01-10, deepseek reported 2026-06-01, and google, grok, kimi, openai, and perplexity reported 2026-09-23. These are provenance metadata and do not independently prove freshness. The study date used throughout is 2026-09-22.

Official-site retrieval failed for one or more mentions. The deterministic identity audit notes that the official-site fetch returned HTTP 403 and that identity used an exact-name fallback, so the matching domain remains unverified. No failed fetch was used as a verified domain key.

Conflicting product names, pricing, and capabilities were not resolved by guessing. Where sources disagreed on maximum face amounts, certificate fees, neuropathy treatment, insulin-onset age thresholds, and state availability, this review describes the conflict and tells buyers what to verify.

Most detailed diabetes-specific underwriting claims come from reviews, agent materials, or quote-site summaries rather than Royal Neighbors' own public product pages. One platform rated independent evidence quality as moderate to low on exact rules (perplexity). Another platform stated that no published diabetes-specific underwriting criteria were found at all [96].

No platform produced a verifiable current quote for the target buyer profile. Pricing confidence was low or moderate across all platforms. Illustrative rates cited in this review are based on 2019–2024 rate tables and are not diabetes-specific.

Agreement among AI platforms does not prove product quality. It reflects that multiple systems found similar public and agent-facing documents.

Sources

Company-Owned Sources

  • Royal Neighbors of America Official Website: https://royalneighbors.org/
  • Life Insurance for Diabetics: What to Know: https://www.progressive.com/answers/life-insurance-for-diabetics/
  • Insurance - Royal Neighbors of America: https://www.royalneighbors.org/insurance/
  • Life insurance is a Difficult Topic but an Easy Decision: https://www.royalneighbors.org/news/life-insurance-difficult-topic-easy-decision/
  • Additional AI research evidence96 records
    1. AI research evidence record deepseek:rnc-official-1
    2. AI research evidence record kimi:c1
    3. AI research evidence record openai:c1
    4. AI research evidence record perplexity:c2
    5. AI research evidence record perplexity:c7
    6. AI research evidence record perplexity:c12
    7. AI research evidence record openai:c1
    8. AI research evidence record anthropic:c1
    9. AI research evidence record grok:1
    10. AI research evidence record perplexity:c4
    11. AI research evidence record openai:c2
    12. AI research evidence record openai:c5
    13. AI research evidence record anthropic:c3
    14. AI research evidence record anthropic:c7
    15. AI research evidence record anthropic:c8
    16. AI research evidence record perplexity:c10
    17. AI research evidence record perplexity:c3
    18. AI research evidence record perplexity:c9
    19. AI research evidence record grok:3
    20. AI research evidence record perplexity:c1
    21. AI research evidence record perplexity:c2
    22. AI research evidence record perplexity:c7
    23. AI research evidence record perplexity:c10
    24. AI research evidence record deepseek:rnc-official-1
    25. AI research evidence record openai:c2
    26. AI research evidence record perplexity:c5
    27. AI research evidence record perplexity:c12
    28. AI research evidence record grok:0
    29. AI research evidence record openai:c6
    30. AI research evidence record perplexity:c8
    31. AI research evidence record openai:c3
    32. AI research evidence record anthropic:c5
    33. AI research evidence record grok:2
    34. AI research evidence record openai:c2
    35. AI research evidence record openai:c5
    36. AI research evidence record anthropic:c3
    37. AI research evidence record perplexity:c3
    38. AI research evidence record perplexity:c9
    39. AI research evidence record perplexity:c10
    40. AI research evidence record grok:0
    41. AI research evidence record grok:2
    42. AI research evidence record grok:5
    43. AI research evidence record anthropic:c2
    44. AI research evidence record google:duford_dig
    45. AI research evidence record openai:c3
    46. AI research evidence record anthropic:c5
    47. AI research evidence record google:pinnaclequote
    48. AI research evidence record anthropic:c7
    49. AI research evidence record perplexity:c2
    50. AI research evidence record grok:3
    51. AI research evidence record google:royal_neighbors_agent
    52. AI research evidence record kimi:c2
    53. AI research evidence record kimi:c3
    54. AI research evidence record openai:c3
    55. AI research evidence record anthropic:c5
    56. AI research evidence record anthropic:c2
    57. AI research evidence record google:duford_dig
    58. AI research evidence record google:senior_life_services
    59. AI research evidence record openai:c2
    60. AI research evidence record openai:c4
    61. AI research evidence record grok:3
    62. AI research evidence record anthropic:c3
    63. AI research evidence record anthropic:c4
    64. AI research evidence record google:royal_neighbors_agent
    65. AI research evidence record openai:c7
    66. AI research evidence record openai:c2
    67. AI research evidence record deepseek:rnc-official-1
    68. AI research evidence record anthropic:c2
    69. AI research evidence record grok:3
    70. AI research evidence record anthropic:c4
    71. AI research evidence record google:royal_neighbors_agent
    72. AI research evidence record openai:c2
    73. AI research evidence record anthropic:c3
    74. AI research evidence record grok:3
    75. AI research evidence record openai:c3
    76. AI research evidence record anthropic:c5
    77. AI research evidence record anthropic:c2
    78. AI research evidence record google:duford_dig
    79. AI research evidence record grok:0
    80. AI research evidence record grok:2
    81. AI research evidence record google:senior_life_services
    82. AI research evidence record anthropic:c2
    83. AI research evidence record google:pinnaclequote
    84. AI research evidence record openai:c3
    85. AI research evidence record anthropic:c5
    86. AI research evidence record openai:c2
    87. AI research evidence record anthropic:c3
    88. AI research evidence record deepseek:rnc-official-1
    89. AI research evidence record perplexity:c9
    90. AI research evidence record perplexity:c10
    91. AI research evidence record grok:3
    92. AI research evidence record google:royal_neighbors_agent
    93. AI research evidence record anthropic:c4
    94. AI research evidence record kimi:c3
    95. AI research evidence record kimi:c4
    96. AI research evidence record kimi:c2

Independent Sources

Other Sources

  • Royal Neighbors Ensured Legacy Final Expense Risk Assessment Chart, Form 2996-1-BRC: https://experiorusa.com/uploads/media/2996-1-BRC_ELFE_Risk_Assessment_Chart_2024-01-12_FINAL_WEB_R5.pdf
  • Royal Neighbors Final Expense SIWL-GDB Field Guide, For Agent Use Only: https://legacyagent.com/images/Training/Apps-Guides/RNA/Guides/RNA_SIWL_AgentGuide.pdf
  • Royal Neighbors Simplified Issue Whole Life Rates and Product Guide: https://legacyagent.com/images/Training/Apps-Guides/RNA/Guides/RNA_SIWL_Rates.pdf
  • Additional AI research evidence96 records
    1. AI research evidence record deepseek:rnc-official-1
    2. AI research evidence record kimi:c1
    3. AI research evidence record openai:c1
    4. AI research evidence record perplexity:c2
    5. AI research evidence record perplexity:c7
    6. AI research evidence record perplexity:c12
    7. AI research evidence record openai:c1
    8. AI research evidence record anthropic:c1
    9. AI research evidence record grok:1
    10. AI research evidence record perplexity:c4
    11. AI research evidence record openai:c2
    12. AI research evidence record openai:c5
    13. AI research evidence record anthropic:c3
    14. AI research evidence record anthropic:c7
    15. AI research evidence record anthropic:c8
    16. AI research evidence record perplexity:c10
    17. AI research evidence record perplexity:c3
    18. AI research evidence record perplexity:c9
    19. AI research evidence record grok:3
    20. AI research evidence record perplexity:c1
    21. AI research evidence record perplexity:c2
    22. AI research evidence record perplexity:c7
    23. AI research evidence record perplexity:c10
    24. AI research evidence record deepseek:rnc-official-1
    25. AI research evidence record openai:c2
    26. AI research evidence record perplexity:c5
    27. AI research evidence record perplexity:c12
    28. AI research evidence record grok:0
    29. AI research evidence record openai:c6
    30. AI research evidence record perplexity:c8
    31. AI research evidence record openai:c3
    32. AI research evidence record anthropic:c5
    33. AI research evidence record grok:2
    34. AI research evidence record openai:c2
    35. AI research evidence record openai:c5
    36. AI research evidence record anthropic:c3
    37. AI research evidence record perplexity:c3
    38. AI research evidence record perplexity:c9
    39. AI research evidence record perplexity:c10
    40. AI research evidence record grok:0
    41. AI research evidence record grok:2
    42. AI research evidence record grok:5
    43. AI research evidence record anthropic:c2
    44. AI research evidence record google:duford_dig
    45. AI research evidence record openai:c3
    46. AI research evidence record anthropic:c5
    47. AI research evidence record google:pinnaclequote
    48. AI research evidence record anthropic:c7
    49. AI research evidence record perplexity:c2
    50. AI research evidence record grok:3
    51. AI research evidence record google:royal_neighbors_agent
    52. AI research evidence record kimi:c2
    53. AI research evidence record kimi:c3
    54. AI research evidence record openai:c3
    55. AI research evidence record anthropic:c5
    56. AI research evidence record anthropic:c2
    57. AI research evidence record google:duford_dig
    58. AI research evidence record google:senior_life_services
    59. AI research evidence record openai:c2
    60. AI research evidence record openai:c4
    61. AI research evidence record grok:3
    62. AI research evidence record anthropic:c3
    63. AI research evidence record anthropic:c4
    64. AI research evidence record google:royal_neighbors_agent
    65. AI research evidence record openai:c7
    66. AI research evidence record openai:c2
    67. AI research evidence record deepseek:rnc-official-1
    68. AI research evidence record anthropic:c2
    69. AI research evidence record grok:3
    70. AI research evidence record anthropic:c4
    71. AI research evidence record google:royal_neighbors_agent
    72. AI research evidence record openai:c2
    73. AI research evidence record anthropic:c3
    74. AI research evidence record grok:3
    75. AI research evidence record openai:c3
    76. AI research evidence record anthropic:c5
    77. AI research evidence record anthropic:c2
    78. AI research evidence record google:duford_dig
    79. AI research evidence record grok:0
    80. AI research evidence record grok:2
    81. AI research evidence record google:senior_life_services
    82. AI research evidence record anthropic:c2
    83. AI research evidence record google:pinnaclequote
    84. AI research evidence record openai:c3
    85. AI research evidence record anthropic:c5
    86. AI research evidence record openai:c2
    87. AI research evidence record anthropic:c3
    88. AI research evidence record deepseek:rnc-official-1
    89. AI research evidence record perplexity:c9
    90. AI research evidence record perplexity:c10
    91. AI research evidence record grok:3
    92. AI research evidence record google:royal_neighbors_agent
    93. AI research evidence record anthropic:c4
    94. AI research evidence record kimi:c3
    95. AI research evidence record kimi:c4
    96. AI research evidence record kimi:c2

Verify this research

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

Study date
September 22, 2026
Platforms analyzed
7
Source records
37
Ranking mentions
6 of 7
Platform share
86%
Final consensus rank
#3

Behind the findings

Platforms in this study

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

Source records

21 independent · 7 company-owned · 9 unclear

Evidence support

25 direct · 12 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.

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