Life Insurance
Consensus Index

AI Consensus Fit Review

New York Life Insurance Company Whole Life Insurance With Paid-Up Additions Fit Review

New York life insurance Company is a strong-to-good fit for a buyer who specifically wants participating whole life insurance with a contractual mechanism to purchase paid-up additions, subject to state availability, underwriting, and individualized pricing.

Research: 2026-09-206 usable platform responsesRead the methodology ↗

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Answer Capsule

New York life insurance Company is a strong-to-good fit for a buyer who specifically wants participating whole life insurance with a contractual mechanism to purchase paid-up additions, subject to state availability, underwriting, and individualized pricing. Four of the six platforms that evaluated fit named New York Life during the ranking stage, and all six rated it usable for this use case: two "strong," three "good," and one "uncertain." The strongest reason to consider it is the combination of a mutual, participating insurer structure with an explicit Option to Purchase Paid-Up Additions (OPP) rider that can increase both cash value and death benefit. The main limitation is that no platform found standardized public pricing, and OPP expense charges, payment caps, and rider-retention rules vary by form, state, and risk class.

Research Snapshot

FieldFinding
Platform mentions in ranking stage4 of 6 platforms (deepseek, grok, kimi, openai)
Share of included platform responses66.7%
Average listed rank4.5
Best listed rank3
Relevant product/model/planCustom Whole Life with Option to Purchase Paid-Up Additions (OPP) rider; New York Life Whole Life series with paid-up additions provisions where approved
Overall use-case fitStrong to good, with verification required
Research date2026-09-20

Why New York Life Insurance Company Qualified for This Study

Questions This Section Answers

  • Why did New York Life Insurance Company qualify for this whole life with paid-up additions study?
  • How many AI platforms named New York Life Insurance Company for whole life with paid-up additions?

New York Life qualified because it is a mutual, participating insurer that markets an explicit paid-up-additions mechanism on its whole life products, which is the core requirement of this use case. Four of the six platforms that evaluated fit — deepseek, grok, kimi, and openai — named the company during the ranking stage, a 66.7% share of included platform responses. Its average listed rank was 4.5, with a best rank of 3 (deepseek and openai) and a worst of 7 (kimi) [1].

Qualification rested on four criteria from the study prompt: a financially established participating insurer, flexible paid-up additions provisions, strong guaranteed values, and a policy design suitable for long-term cash-value accumulation. New York Life's mutual structure supports dividend participation on eligible policies, and dividends are not guaranteed [5]. Its publicly reported financial-strength ratings address the "financially established" criterion [6].

Two qualification caveats belong here. First, platform_mentions counts only platforms that named the entity during ranking discovery; all six platforms evaluated fit, but only four surfaced the company by name in the ranking stage. Second, one platform (deepseek) reported an official-site retrieval failure during ranking, so its product identification was flagged for direct verification [9].

The Product, Model, Plan, or Service Most Relevant to Whole Life Insurance With Paid-Up Additions

Questions This Section Answers

  • Which New York Life Insurance Company policy should a buyer choose for whole life with paid-up additions?
  • Is the New York Life Insurance Company Option to Purchase Paid-Up Additions rider available on Custom Whole Life?

The most relevant offering is New York Life Whole Life or Custom Whole Life with the Option to Purchase Paid-Up Additions (OPP) rider. All six platforms converged on this product pairing, though they described it with slightly different names [10].

New York Life's own product page identifies the OPP rider and describes additional premium payments as a way to build cash value and increase the death benefit; it also states that whole life cash value is guaranteed to grow tax-deferred [10]. Company materials state the OPP rider can buy more coverage and increase cash value, and that whole life policies receive guaranteed cash value after the second policy anniversary unless paid-up additions may provide immediate cash value [16].

Policy form identification is where the platforms diverge. Google cited the New York Life Whole Life series form as ICC18217-50P with OPP rider form ICC17217-330R, sourced to a company brochure [14]. OpenAI confirmed ICC18217-50P for Whole Life and Custom Whole Life in most jurisdictions but did not independently confirm ICC17217-330R as the applicable OPP rider form nationwide [17]. Deepseek and kimi repeated the same form numbers but labeled them ranking-stage normalization that could not be independently verified [11]. Treat the rider form number as unverified until confirmed on the state-approved contract.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree on about New York Life Insurance Company whole life with paid-up additions?
  • Does New York Life Insurance Company offer a contractual paid-up additions rider rather than dividend-only additions?

Four points drew broad agreement across the six platform responses.

First, the OPP rider exists and is the relevant mechanism. OpenAI, deepseek, grok, perplexity, and google all described a contractual rider that lets the policyowner pay additional premiums to purchase paid-up coverage, increasing death benefit and cash value [18]. Kimi did not dispute the rider's existence but could not verify its provisions [23].

Second, the insurer is financially strong by public ratings. New York Life reports current major-agency ratings of A++ from AM Best, AAA from Fitch, Aa1 from Moody's, and AA+ from S&P, and announced an estimated 2026 dividend payout to eligible participating policy owners [24]. AM Best independently reported affirming New York Life's A++ Superior financial-strength rating in July 2026 [25]. Deepseek also cited high-tier independent ratings [26]. A rating reflects insurer financial strength and claims-paying ability, not the profitability or suitability of a particular policy.

Third, dividends are not guaranteed. OpenAI, deepseek, grok, google, and kimi all stated or accepted that dividend scales can change and that illustrated accumulation is non-guaranteed [27].

Fourth, pricing is individualized. Every platform that addressed pricing concluded that no standardized public premium exists and that a personalized illustration is required [18].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How much does the New York Life Insurance Company OPP rider charge on additional premiums?
  • What happens to the New York Life Insurance Company paid-up additions rider if a buyer stops paying?

The platforms disagreed on OPP expense charges, payment caps, and rider-retention rules — the three items that most affect accumulation efficiency.

On expense charges, grok cited a 12–45% OPP premium expense charge sourced to a New York Life charges PDF [33]. Perplexity cited the same company PDF for a 12% to 45% range by risk class [34]. Google reported a more specific structure: a 12% upfront load for standard or better risk classes and 19% to 45% for substandard classes, sourced to an independent summary of New York Life product changes [35]. OpenAI and deepseek found no universal public fee schedule at all [36]. These are not fully contradictory — a 12% standard-class load sits inside a 12–45% range — but the platforms did not agree on a single figure, and the underlying documents are dated or third-party.

On caps, grok reported a $2 million cumulative OPP limit per household [38]. Google reported a maximum annual OPP premium of 2x the Annual Standard Base Premium for Custom Whole Life policies with pay periods of 19 years or less, and up to 10x for 20-year-plus pay periods [35]. Perplexity found annual payment limits tied to annual standard base premium with caps varying by policy type, and could not verify exact limits for a named form [39]. These describe different limit types and should not be merged.

On retention, google reported that the OPP rider terminates permanently if left unfunded for three consecutive years, with restoration requiring full medical re-underwriting, and that a minimum of $120 per year keeps the rider active without new underwriting [41]. The termination claim rests on an independent review and a YouTube review, both partial-strength sources. No other platform confirmed or contradicted it. Kimi could not verify whether New York Life imposes cumulative minimums or catch-up provisions at all [43].

Kimi's overall fit rating was "uncertain," the only non-positive rating, because it could not verify rider loads, payment limits, or flexibility features from retrieved documentation [44].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does the New York Life Insurance Company OPP rider increase both cash value and death benefit?
  • Can New York Life Insurance Company dividends be used to buy paid-up additions?

The OPP rider is designed to increase both cash value and death benefit, and dividends on participating policies can also be directed to paid-up additions. These are the two accumulation channels this use case depends on.

New York Life states that certain whole life policies let the owner choose OPP to buy additional paid-up coverage without further underwriting, increasing both death benefit and cash value [45]. Public descriptions say OPP premiums purchase additional paid-up life insurance that has cash value, loan value, and dividend eligibility [46]. Company materials describe paid-up additions and reduced paid-up insurance, and note that guarantees depend on the issuer's claims-paying ability [48].

On the dividend channel, New York Life allows participating policies to use dividends to purchase additional paid-up coverage, which grows cash value faster and is itself eligible for more dividends [49]. Dividends are available only on participating policies and are not guaranteed [48].

Guaranteed-value structure: New York Life states whole life cash value is guaranteed to grow tax-deferred, and that policies receive guaranteed cash value after the second policy anniversary unless paid-up additions may provide immediate cash value [51]. The base policy provides guaranteed death benefit and cash value; paid-up additions increase both [53].

Design flexibility: the Custom Whole Life framework and OPP rider can support a design combining base whole life with additional paid-up coverage, but the actual premium allocation, rider limits, payment period, dividend option, and non-MEC design must be confirmed in the illustration and contract [51]. Rider features may differ by product, are not available in every state, and may be subject to additional limitations [54].

One structural tradeoff applies to this design category generally: industry sources indicate whole life with PUA riders typically starts with lower initial cash value and death benefit than an identical policy without the rider, requiring years or decades to surpass [56].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does New York Life Insurance Company whole life with paid-up additions cost per month?
  • What fees apply to New York Life Insurance Company OPP rider payments?

No reliable public quote or standardized premium was identified by any platform. Pricing is individualized by age, sex, health and underwriting class, coverage amount, payment period, policy design, state, and selected riders [57].

The one cost figure with partial cross-platform support is the OPP expense charge. Grok and perplexity both cited a New York Life charges PDF for a 12% to 45% range by risk class [59]. Google reported 12% for standard or better classes and 19% to 45% for substandard classes [62]. Perplexity also noted that external product documents describe front-loaded charges, but flagged that this is not primary-source contract evidence [63]. OpenAI and deepseek found no universal OPP fee schedule [57].

Other reported cost items, all requiring contract verification:

  • Minimum annual OPP payment of $120 to keep the rider active without underwriting, and a minimum automated transaction payment of $10 under Check-O-Matic [64].
  • A $2 million cumulative OPP cap per household, per grok [65].
  • Optional rider charges; New York Life identifies some riders as available for an additional cost [66].
  • Policy loan interest and possible effects on values; exact terms require the policy contract [57].

Contract terms: whole life is a long-term contract, and early surrender can produce less value than premiums paid [57]. Dividends and dividend-funded paid-up additions are not guaranteed [67]. Rider availability, limits, and termination provisions vary by state and product [66]. Google reported a standard free-look period of typically 10 to 30 days depending on state [62]. Kimi flagged that MEC reclassification is irreversible and that premiums include both base premiums and PUA rider contributions against IRS 7-pay limits [69].

Pricing confidence across platforms was low, except google, which rated its own confidence high based on the specific load figures it cited [62].

Best Suited For

Questions This Section Answers

  • Is New York Life Insurance Company a good choice for a buyer who wants long-term cash-value accumulation through paid-up additions?
  • Who gets the most value from New York Life Insurance Company Custom Whole Life with the OPP rider?

New York Life is best suited to a buyer who wants a financially strong mutual insurer, intends to hold coverage long term, and plans to use additional premiums or dividends to increase cash value and death benefit [71].

Platforms converged on three buyer profiles:

  • Consumers seeking a financially strong mutual insurer offering participating whole life [71].
  • Buyers who want to add paid-up coverage over time through a contractual rider rather than relying only on dividends [77].
  • Buyers who value guaranteed whole-life values plus non-guaranteed dividend and paid-up-addition potential, and who accept dividend variability [71].

Google added a fourth profile: policyholders who plan to maintain consistent annual contributions to keep the rider active, and buyers who want to customize premium-paying periods such as 10-pay or 20-pay while maximizing cash growth [80].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose New York Life Insurance Company for whole life with paid-up additions?
  • Is New York Life Insurance Company a poor fit for a buyer who wants the lowest-cost death benefit?

New York Life is probably not the best fit for buyers whose priorities conflict with the economics of a participating whole life policy funded through paid-up additions.

Platforms identified these exclusions:

  • Consumers primarily seeking the lowest-cost death-benefit coverage; term life from a suitable insurer may be better [82].
  • Buyers needing fully transparent, standardized online pricing before speaking with an agent [82].
  • Buyers who require guaranteed investment-like returns or guaranteed dividend performance [82].
  • Buyers seeking the lowest first-year premium or maximum early cash value, since OPP has upfront expense charges [85].
  • Buyers who want highly flexible, stop-and-go funding without risking rider termination after three years of non-payment [87].
  • Buyers who need confirmed, published dividend or OPP pricing before engaging an agent [83].

Kimi's "uncertain" rating is itself a fit signal: buyers who require verified product-level detail before committing may find the publicly available documentation insufficient [84].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to New York Life Insurance Company for a buyer who wants lower PUA premium loads?
  • When should a buyer compare another insurer instead of New York Life Insurance Company for paid-up additions?

Another option may be better in five situations the platforms described.

A buyer who wants the lowest-cost way to obtain a specified death benefit should compare term life [88]. A buyer who wants to compare several participating whole-life designs through an independent broker may find another mutual insurer with a more favorable base-to-PUA allocation, rider structure, dividend history, or premium schedule [88]. A buyer who prioritizes guaranteed accumulation without reliance on dividends may be better served by a different policy design or a non-insurance savings vehicle after professional review [88].

On rider economics specifically, kimi pointed to Penn Mutual's Enhanced Permanent Paid-Up Additions Rider as an example of a competitor with publicly documented load structures, annual payment limits, cumulative minimums over rolling five-year periods, and catch-up provisions starting in year 3 [89]. Google noted that New York Life's 12% standard-class load is higher than several top-tier mutual competitors, some of which charge 5% to 8%, and that short-pay policies face a 2x base premium PUA funding cap [90]. Perplexity noted that a competing insurer may be preferable if the buyer values simpler rider rules and lower complexity over a large, established participating carrier [91].

A buyer declined or rated by New York Life underwriting, or one who wants simpler non-participating guaranteed universal life without PUA complexity, should also look elsewhere [92].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with New York Life Insurance Company before signing a whole life contract with paid-up additions?
  • Which New York Life Insurance Company rider details must be verified in the illustration?

The platforms produced overlapping verification lists. Consolidated, the items a buyer should confirm before signing are:

  • Is the OPP rider available in the buyer's state and on the exact proposed policy form, and what are the exact policy and rider form numbers? [93]
  • What is the exact upfront expense charge for the selected issue age and risk class? [96]
  • What are the annual and lifetime OPP payment limits, minimum payments, deadlines, and conditions for exercising the option? [98]
  • Must the rider be elected at issue, and can it be added later? [99]
  • What happens to OPP access if premiums are reduced, skipped, paid in advance, the policy becomes paid-up, or a loan is taken? [93]
  • What are the guaranteed cash value, guaranteed death benefit, and guaranteed paid-up-addition values at each year, and how do illustrated current and guaranteed outcomes compare? [93]
  • Will the proposed funding remain below modified endowment contract limits under the intended payment schedule? [93]
  • What are the surrender values, loan interest rate, loan treatment, and consequences of withdrawals or unpaid loans? [93]
  • What is the current dividend scale, and how has it changed over the past 10 years? [94]
  • Can the buyer obtain the complete policy illustration, specimen contract, state-specific rider, and break-even analysis before purchase? [93]

Final AI Consensus Verdict

The consensus verdict is a qualified strong-to-good fit. Two platforms rated New York Life "strong" (openai, grok), three rated it "good" (deepseek, google, perplexity), and one rated it "uncertain" (kimi). No platform rated it a poor fit for this use case.

The case for fit rests on structure: a mutual, participating insurer with an explicit OPP rider, publicly reported top-tier financial-strength ratings, and guaranteed whole-life values alongside non-guaranteed dividend and paid-up-addition potential [103]. The case against treating it as an automatic best choice rests on economics: OPP expense charges reported between 12% and 45% depending on risk class, payment caps that vary by pay period, a reported three-year non-payment termination rule, and no standardized public pricing [107].

AI-platform agreement does not prove product quality. The platforms agreed on structure and disagreed on the numbers that determine accumulation efficiency. A buyer should compare guaranteed-versus-current illustrations from New York Life against at least one competing mutual insurer before committing.

How This Review Was Produced

This review synthesizes fit-research responses from six AI platforms — openai, deepseek, grok, kimi, perplexity, and google — each of which evaluated New York Life Insurance Company against the same use case: Whole Life Insurance With Paid-Up Additions for a U.S. consumer who wants a financially established participating insurer, flexible paid-up additions provisions, strong guaranteed values, and a policy design suitable for long-term cash-value accumulation. The study date is 2026-09-20.

Ranking-stage statistics reflect which platforms named New York Life during discovery. Fit ratings, product identifications, pricing findings, and verification questions come from each platform's structured response. Citations are platform-reported evidence, not independently verified facts. Company-owned sources are labeled as such in the Sources section; independent and unclear-ownership sources are grouped separately.

The two internal reference points for this report are the Whole Life Insurance With Paid-Up Additions consensus index and the broader life insurance category directory.

Methodology Limitations

Several limitations apply to this review.

Platform-reported research dates differ from the authoritative run date. Deepseek reported a research date of 2026-01-15, while the run research date is 2026-09-20. Platform-reported dates are provenance metadata and do not independently prove freshness.

All included platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery. Four of six platforms named New York Life in the ranking stage; all six produced fit assessments.

Conflicting product names, pricing, and capabilities were not resolved by guessing. Where platforms disagreed — OPP expense charges, payment caps, rider-retention rules, and rider form numbers — this review describes the conflict and identifies what buyers must verify.

The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence. No-search model claims require explicit verification before being described as current facts; deepseek operated with search disabled and reported an official-site retrieval failure during ranking, so its product identification carries additional verification burden.

One platform (kimi) could not retrieve official New York Life product documentation and rated fit "uncertain" as a result. Missing research is not evidence of disagreement or deficiency.

Sources

Company-Owned Sources

  • WHOLE LIFE INSURANCE Permanent protection that helps build wealth: https://assets.newyorklife.com/is/content/newyorklife/nyl-whole-life-brochure
  • Customizing Whole Life Coverage with Optional Riders: https://gateway.pennmutual.com/static-assets/files/products/life/t4962.pdf
  • What is Cash Value Life Insurance | New York Life: https://www.newyorklife.com/articles/cash-value-life-insurance
  • How to Calculate Whole Life Insurance | New York Life: https://www.newyorklife.com/articles/how-to-calculate-whole-life-insurance
  • Paid Up Life Insurance | New York Life: https://www.newyorklife.com/articles/paid-up-life-insurance
  • What is Cash Value Life Insurance | New York Life: https://www.newyorklife.com/articles/what-is-cash-value-life-insurance
  • Life Insurance Policy Riders | New York Life: https://www.newyorklife.com/articles/your-policy-your-way
  • New York Life enters 2026 with industry-leading financial strength ratings: https://www.newyorklife.com/newsroom/2026/2026-industry-leading-financial-strength
  • Paid Up Life Insurance | New York Life: https://www.newyorklife.com/newsroom/paid-up-life-insurance
  • Whole Life Insurance | Custom Cash Value Whole Life | New York Life: https://www.newyorklife.com/products/insurance/whole-life
  • Whole Life Insurance | New York Life: https://www.newyorklife.com/products/whole-life-insurance
  • Official pricing and terms source: https://www.newyorklife.com/
  • Additional AI research evidence110 records
    1. AI research evidence record openai:c1
    2. AI research evidence record deepseek:c1
    3. AI research evidence record grok:0
    4. AI research evidence record kimi:nw_pua_2024
    5. AI research evidence record deepseek:c4
    6. AI research evidence record openai:c4
    7. AI research evidence record openai:c5
    8. AI research evidence record deepseek:c3
    9. AI research evidence record deepseek:c2
    10. AI research evidence record openai:c1
    11. AI research evidence record deepseek:c2
    12. AI research evidence record grok:3
    13. AI research evidence record perplexity:c1
    14. AI research evidence record google:nyl_product_brochure
    15. AI research evidence record kimi:nw_pua_2024
    16. AI research evidence record openai:c3
    17. AI research evidence record openai:c2
    18. AI research evidence record openai:c1
    19. AI research evidence record deepseek:c1
    20. AI research evidence record grok:0
    21. AI research evidence record perplexity:c5
    22. AI research evidence record google:nyl_cash_value_guide
    23. AI research evidence record kimi:nw_pua_2024
    24. AI research evidence record openai:c4
    25. AI research evidence record openai:c5
    26. AI research evidence record deepseek:c3
    27. AI research evidence record openai:c2
    28. AI research evidence record deepseek:c4
    29. AI research evidence record google:nyl_paid_up_guide
    30. AI research evidence record grok:4
    31. AI research evidence record perplexity:c2
    32. AI research evidence record google:nyl_covid_changes_document
    33. AI research evidence record grok:4
    34. AI research evidence record perplexity:c2
    35. AI research evidence record google:nyl_covid_changes_document
    36. AI research evidence record openai:c1
    37. AI research evidence record deepseek:c1
    38. AI research evidence record grok:6
    39. AI research evidence record perplexity:c8
    40. AI research evidence record perplexity:c9
    41. AI research evidence record google:nyl_review_monegenix
    42. AI research evidence record google:nyl_ibc_review_termination
    43. AI research evidence record kimi:pm_pua_rider_2024
    44. AI research evidence record kimi:nw_pua_2024
    45. AI research evidence record perplexity:c5
    46. AI research evidence record perplexity:c7
    47. AI research evidence record grok:3
    48. AI research evidence record openai:c2
    49. AI research evidence record google:nyl_paid_up_guide
    50. AI research evidence record deepseek:c4
    51. AI research evidence record openai:c1
    52. AI research evidence record openai:c3
    53. AI research evidence record grok:0
    54. AI research evidence record openai:c6
    55. AI research evidence record perplexity:c4
    56. AI research evidence record kimi:inv_pua_2024
    57. AI research evidence record openai:c1
    58. AI research evidence record deepseek:c1
    59. AI research evidence record grok:4
    60. AI research evidence record perplexity:c2
    61. AI research evidence record kimi:nw_pua_2024
    62. AI research evidence record google:nyl_covid_changes_document
    63. AI research evidence record perplexity:c10
    64. AI research evidence record google:nyl_review_monegenix
    65. AI research evidence record grok:6
    66. AI research evidence record openai:c6
    67. AI research evidence record openai:c2
    68. AI research evidence record perplexity:c4
    69. AI research evidence record kimi:lc_pua_2024
    70. AI research evidence record kimi:ws_pua_2024
    71. AI research evidence record openai:c1
    72. AI research evidence record deepseek:c1
    73. AI research evidence record grok:0
    74. AI research evidence record google:nyl_paid_up_guide
    75. AI research evidence record deepseek:c3
    76. AI research evidence record kimi:nw_pua_2024
    77. AI research evidence record perplexity:c5
    78. AI research evidence record google:nyl_cash_value_guide
    79. AI research evidence record deepseek:c4
    80. AI research evidence record google:nyl_review_monegenix
    81. AI research evidence record google:nyl_covid_changes_document
    82. AI research evidence record openai:c1
    83. AI research evidence record deepseek:c1
    84. AI research evidence record kimi:nw_pua_2024
    85. AI research evidence record perplexity:c2
    86. AI research evidence record google:nyl_covid_changes_document
    87. AI research evidence record google:nyl_ibc_review_termination
    88. AI research evidence record openai:c1
    89. AI research evidence record kimi:pm_pua_rider_2024
    90. AI research evidence record google:nyl_covid_changes_document
    91. AI research evidence record perplexity:c3
    92. AI research evidence record deepseek:c1
    93. AI research evidence record openai:c1
    94. AI research evidence record deepseek:c1
    95. AI research evidence record perplexity:c3
    96. AI research evidence record perplexity:c2
    97. AI research evidence record google:nyl_covid_changes_document
    98. AI research evidence record perplexity:c8
    99. AI research evidence record perplexity:c4
    100. AI research evidence record google:nyl_ibc_review_termination
    101. AI research evidence record kimi:lc_pua_2024
    102. AI research evidence record kimi:nw_pua_2024
    103. AI research evidence record openai:c1
    104. AI research evidence record openai:c4
    105. AI research evidence record openai:c5
    106. AI research evidence record grok:0
    107. AI research evidence record grok:4
    108. AI research evidence record perplexity:c2
    109. AI research evidence record google:nyl_covid_changes_document
    110. AI research evidence record google:nyl_ibc_review_termination

Independent Sources

  • Insurance dividend basics: https://content.naic.org/consumer
  • What Are Paid-Up Additions in Life Insurance?: https://legalclarity.org/what-are-paid-up-additions-in-life-insurance/
  • AM Best Affirms Credit Ratings of New York Life Insurance Company and Its Subsidiaries: https://news.ambest.com/newscontent.aspx?altsrc=23&refnum=275862
  • New York Life Insurance Company ratings overview: https://www.ambest.com/ratings/
  • Understanding Paid-Up Additional Insurance and Dividends Benefits: https://www.investopedia.com/terms/p/paidup-additional-insurance.asp
  • Top 5 Best Dividend Paying Whole Life Insurance Companies for Maximum Cash Value Growth: https://www.monegenix.com/top-5-best-dividend-paying-whole-life-insurance-companies-for-maximum-cash-value-growth/
  • Understanding Paid-Up Additions: What, How, Pros & Cons: https://www.westernsouthern.com/life-insurance/paid-up-additions
  • Life and Long-Term Care Product Change in Response to COVID-19 Summary: Option to Purchase Paid-Up Additions (OPP) Rider: https://www.windsorinsurance.com/wp-content/uploads/2020/04/NYL_Product_Changes_COVID-19.pdf
  • Is New York Life the #1 Company for Infinite Banking Policies? (FULL REVIEW: https://www.youtube.com/watch?v=gT9B2h_hG0Q
  • Additional AI research evidence110 records
    1. AI research evidence record openai:c1
    2. AI research evidence record deepseek:c1
    3. AI research evidence record grok:0
    4. AI research evidence record kimi:nw_pua_2024
    5. AI research evidence record deepseek:c4
    6. AI research evidence record openai:c4
    7. AI research evidence record openai:c5
    8. AI research evidence record deepseek:c3
    9. AI research evidence record deepseek:c2
    10. AI research evidence record openai:c1
    11. AI research evidence record deepseek:c2
    12. AI research evidence record grok:3
    13. AI research evidence record perplexity:c1
    14. AI research evidence record google:nyl_product_brochure
    15. AI research evidence record kimi:nw_pua_2024
    16. AI research evidence record openai:c3
    17. AI research evidence record openai:c2
    18. AI research evidence record openai:c1
    19. AI research evidence record deepseek:c1
    20. AI research evidence record grok:0
    21. AI research evidence record perplexity:c5
    22. AI research evidence record google:nyl_cash_value_guide
    23. AI research evidence record kimi:nw_pua_2024
    24. AI research evidence record openai:c4
    25. AI research evidence record openai:c5
    26. AI research evidence record deepseek:c3
    27. AI research evidence record openai:c2
    28. AI research evidence record deepseek:c4
    29. AI research evidence record google:nyl_paid_up_guide
    30. AI research evidence record grok:4
    31. AI research evidence record perplexity:c2
    32. AI research evidence record google:nyl_covid_changes_document
    33. AI research evidence record grok:4
    34. AI research evidence record perplexity:c2
    35. AI research evidence record google:nyl_covid_changes_document
    36. AI research evidence record openai:c1
    37. AI research evidence record deepseek:c1
    38. AI research evidence record grok:6
    39. AI research evidence record perplexity:c8
    40. AI research evidence record perplexity:c9
    41. AI research evidence record google:nyl_review_monegenix
    42. AI research evidence record google:nyl_ibc_review_termination
    43. AI research evidence record kimi:pm_pua_rider_2024
    44. AI research evidence record kimi:nw_pua_2024
    45. AI research evidence record perplexity:c5
    46. AI research evidence record perplexity:c7
    47. AI research evidence record grok:3
    48. AI research evidence record openai:c2
    49. AI research evidence record google:nyl_paid_up_guide
    50. AI research evidence record deepseek:c4
    51. AI research evidence record openai:c1
    52. AI research evidence record openai:c3
    53. AI research evidence record grok:0
    54. AI research evidence record openai:c6
    55. AI research evidence record perplexity:c4
    56. AI research evidence record kimi:inv_pua_2024
    57. AI research evidence record openai:c1
    58. AI research evidence record deepseek:c1
    59. AI research evidence record grok:4
    60. AI research evidence record perplexity:c2
    61. AI research evidence record kimi:nw_pua_2024
    62. AI research evidence record google:nyl_covid_changes_document
    63. AI research evidence record perplexity:c10
    64. AI research evidence record google:nyl_review_monegenix
    65. AI research evidence record grok:6
    66. AI research evidence record openai:c6
    67. AI research evidence record openai:c2
    68. AI research evidence record perplexity:c4
    69. AI research evidence record kimi:lc_pua_2024
    70. AI research evidence record kimi:ws_pua_2024
    71. AI research evidence record openai:c1
    72. AI research evidence record deepseek:c1
    73. AI research evidence record grok:0
    74. AI research evidence record google:nyl_paid_up_guide
    75. AI research evidence record deepseek:c3
    76. AI research evidence record kimi:nw_pua_2024
    77. AI research evidence record perplexity:c5
    78. AI research evidence record google:nyl_cash_value_guide
    79. AI research evidence record deepseek:c4
    80. AI research evidence record google:nyl_review_monegenix
    81. AI research evidence record google:nyl_covid_changes_document
    82. AI research evidence record openai:c1
    83. AI research evidence record deepseek:c1
    84. AI research evidence record kimi:nw_pua_2024
    85. AI research evidence record perplexity:c2
    86. AI research evidence record google:nyl_covid_changes_document
    87. AI research evidence record google:nyl_ibc_review_termination
    88. AI research evidence record openai:c1
    89. AI research evidence record kimi:pm_pua_rider_2024
    90. AI research evidence record google:nyl_covid_changes_document
    91. AI research evidence record perplexity:c3
    92. AI research evidence record deepseek:c1
    93. AI research evidence record openai:c1
    94. AI research evidence record deepseek:c1
    95. AI research evidence record perplexity:c3
    96. AI research evidence record perplexity:c2
    97. AI research evidence record google:nyl_covid_changes_document
    98. AI research evidence record perplexity:c8
    99. AI research evidence record perplexity:c4
    100. AI research evidence record google:nyl_ibc_review_termination
    101. AI research evidence record kimi:lc_pua_2024
    102. AI research evidence record kimi:nw_pua_2024
    103. AI research evidence record openai:c1
    104. AI research evidence record openai:c4
    105. AI research evidence record openai:c5
    106. AI research evidence record grok:0
    107. AI research evidence record grok:4
    108. AI research evidence record perplexity:c2
    109. AI research evidence record google:nyl_covid_changes_document
    110. AI research evidence record google:nyl_ibc_review_termination

Other Sources

  • Additional AI research evidence110 records
    1. AI research evidence record openai:c1
    2. AI research evidence record deepseek:c1
    3. AI research evidence record grok:0
    4. AI research evidence record kimi:nw_pua_2024
    5. AI research evidence record deepseek:c4
    6. AI research evidence record openai:c4
    7. AI research evidence record openai:c5
    8. AI research evidence record deepseek:c3
    9. AI research evidence record deepseek:c2
    10. AI research evidence record openai:c1
    11. AI research evidence record deepseek:c2
    12. AI research evidence record grok:3
    13. AI research evidence record perplexity:c1
    14. AI research evidence record google:nyl_product_brochure
    15. AI research evidence record kimi:nw_pua_2024
    16. AI research evidence record openai:c3
    17. AI research evidence record openai:c2
    18. AI research evidence record openai:c1
    19. AI research evidence record deepseek:c1
    20. AI research evidence record grok:0
    21. AI research evidence record perplexity:c5
    22. AI research evidence record google:nyl_cash_value_guide
    23. AI research evidence record kimi:nw_pua_2024
    24. AI research evidence record openai:c4
    25. AI research evidence record openai:c5
    26. AI research evidence record deepseek:c3
    27. AI research evidence record openai:c2
    28. AI research evidence record deepseek:c4
    29. AI research evidence record google:nyl_paid_up_guide
    30. AI research evidence record grok:4
    31. AI research evidence record perplexity:c2
    32. AI research evidence record google:nyl_covid_changes_document
    33. AI research evidence record grok:4
    34. AI research evidence record perplexity:c2
    35. AI research evidence record google:nyl_covid_changes_document
    36. AI research evidence record openai:c1
    37. AI research evidence record deepseek:c1
    38. AI research evidence record grok:6
    39. AI research evidence record perplexity:c8
    40. AI research evidence record perplexity:c9
    41. AI research evidence record google:nyl_review_monegenix
    42. AI research evidence record google:nyl_ibc_review_termination
    43. AI research evidence record kimi:pm_pua_rider_2024
    44. AI research evidence record kimi:nw_pua_2024
    45. AI research evidence record perplexity:c5
    46. AI research evidence record perplexity:c7
    47. AI research evidence record grok:3
    48. AI research evidence record openai:c2
    49. AI research evidence record google:nyl_paid_up_guide
    50. AI research evidence record deepseek:c4
    51. AI research evidence record openai:c1
    52. AI research evidence record openai:c3
    53. AI research evidence record grok:0
    54. AI research evidence record openai:c6
    55. AI research evidence record perplexity:c4
    56. AI research evidence record kimi:inv_pua_2024
    57. AI research evidence record openai:c1
    58. AI research evidence record deepseek:c1
    59. AI research evidence record grok:4
    60. AI research evidence record perplexity:c2
    61. AI research evidence record kimi:nw_pua_2024
    62. AI research evidence record google:nyl_covid_changes_document
    63. AI research evidence record perplexity:c10
    64. AI research evidence record google:nyl_review_monegenix
    65. AI research evidence record grok:6
    66. AI research evidence record openai:c6
    67. AI research evidence record openai:c2
    68. AI research evidence record perplexity:c4
    69. AI research evidence record kimi:lc_pua_2024
    70. AI research evidence record kimi:ws_pua_2024
    71. AI research evidence record openai:c1
    72. AI research evidence record deepseek:c1
    73. AI research evidence record grok:0
    74. AI research evidence record google:nyl_paid_up_guide
    75. AI research evidence record deepseek:c3
    76. AI research evidence record kimi:nw_pua_2024
    77. AI research evidence record perplexity:c5
    78. AI research evidence record google:nyl_cash_value_guide
    79. AI research evidence record deepseek:c4
    80. AI research evidence record google:nyl_review_monegenix
    81. AI research evidence record google:nyl_covid_changes_document
    82. AI research evidence record openai:c1
    83. AI research evidence record deepseek:c1
    84. AI research evidence record kimi:nw_pua_2024
    85. AI research evidence record perplexity:c2
    86. AI research evidence record google:nyl_covid_changes_document
    87. AI research evidence record google:nyl_ibc_review_termination
    88. AI research evidence record openai:c1
    89. AI research evidence record kimi:pm_pua_rider_2024
    90. AI research evidence record google:nyl_covid_changes_document
    91. AI research evidence record perplexity:c3
    92. AI research evidence record deepseek:c1
    93. AI research evidence record openai:c1
    94. AI research evidence record deepseek:c1
    95. AI research evidence record perplexity:c3
    96. AI research evidence record perplexity:c2
    97. AI research evidence record google:nyl_covid_changes_document
    98. AI research evidence record perplexity:c8
    99. AI research evidence record perplexity:c4
    100. AI research evidence record google:nyl_ibc_review_termination
    101. AI research evidence record kimi:lc_pua_2024
    102. AI research evidence record kimi:nw_pua_2024
    103. AI research evidence record openai:c1
    104. AI research evidence record openai:c4
    105. AI research evidence record openai:c5
    106. AI research evidence record grok:0
    107. AI research evidence record grok:4
    108. AI research evidence record perplexity:c2
    109. AI research evidence record google:nyl_covid_changes_document
    110. AI research evidence record google:nyl_ibc_review_termination

Verify this research

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

Study date
September 20, 2026
Platforms analyzed
6
Source records
33
Ranking mentions
4 of 6
Platform share
67%
Final consensus rank
#4

Behind the findings

Platforms in this study

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

Source records

14 independent · 15 company-owned · 4 unclear

Evidence support

21 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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