Answer Capsule
New York Life is a strong fit for a buyer who wants permanent participating Whole Life Insurance with lifetime coverage, guaranteed policy values, level premiums, and potential dividends from a financially established mutual insurer. All seven platforms that named carriers in the ranking stage included New York Life, and all seven rated it a strong or good fit for this use case. The strongest reason to consider it is its combination of top-tier financial-strength ratings and a long dividend-paying record on participating policies. The main limitation is that premiums are individualized and not published, dividends are not guaranteed, and policies are sold through agents rather than online.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 7 of 7 platforms that named carriers |
| Share of included platform responses | 100% (7 of 7) |
| Average listed rank | 3.29 |
| Best listed rank | 2 |
| Relevant product/model/plan | Participating whole life insurance, especially New York Life Whole Life Insurance and Custom Whole Life Insurance |
| Overall use-case fit | Strong (six platforms) to good (one platform) |
| Research date | 2026-09-20 |
Why New York Life Qualified for This Study
Questions This Section Answers
- Is New York Life a good choice for Whole Life Insurance with lifetime coverage and guaranteed policy values?
- How does New York Life's financial strength rating compare with other whole life insurers?
New York Life qualified because every platform that named carriers in the ranking stage included it, and every platform assessed it as a strong or good fit for permanent participating whole life insurance. The company is a policyholder-owned mutual insurer founded in 1845 and headquartered in New York City, with no outside shareholders [1]. Its mutual structure means participating policyowners may share in company surplus through dividends [2].
Financial strength is the most consistently cited qualification. New York Life reports ratings of A++ from AM Best, AAA from Fitch, Aa1 from Moody's, and AA+ from S&P [4]. AM Best independently affirmed the A++ rating on July 23, 2026 [6]. One independent outlet described these as the highest ratings currently awarded to any U.S. life insurer by all four major agencies [7]. Ratings measure insurer financial strength, not the investment return or suitability of an individual policy [4].
The company also reports a long dividend record on participating policies. It has paid dividends to eligible participating policyholders every year since 1854, and announced a record $2.78 billion dividend payout for 2026 at a declared dividend interest rate of 6.40% [9]. Dividends are not guaranteed [14].
The Product, Model, Plan, or Service Most Relevant to Whole Life Insurance
Questions This Section Answers
- Which New York Life whole life policy should a buyer choose if they want to finish premiums in 10 or 20 years?
- Does New York Life Secure Wealth Plus work for a buyer who wants to avoid a medical exam?
The most relevant offer is New York Life's participating whole life series, particularly New York Life Whole Life Insurance and Custom Whole Life Insurance [16]. These are permanent policies that provide lifetime coverage, guaranteed death benefit protection, level premiums, and cash value that is guaranteed to grow over time [18].
Platforms described the product family differently, which is a naming conflict buyers should note. Several platforms identified three main designs: standard Whole Life, Custom Whole Life, and Secure Wealth Plus [21]. One platform also referenced a "Value Whole Life" design with a lower cash-value growth rate in exchange for lower premiums [23]. Another platform listed "Secure Wealth Plus" as positioned around expedited underwriting and stronger early guaranteed accumulation [16]. Because product names and availability vary by state and issue date, buyers should confirm the exact policy form being sold [24].
Custom Whole Life is the design most often tied to the target buyer's stated needs. It allows the buyer to choose a premium-paying period, such as 10 or 20 years, while coverage remains active for life [25]. One platform reported that Custom Whole Life coverage starts at $50,000 and that shorter pay periods can be as short as five years, ending before age 75 [27]. Another reported age eligibility of 0 to 70 for Custom Whole Life and 0 to 60 for Secure Wealth Plus [29].
What the AI Platforms Agreed About
Questions This Section Answers
- Do AI platforms agree that New York Life is a strong fit for Whole Life Insurance?
- Is New York Life's dividend history on participating whole life policies a reliable reason to buy?
Agreement was strong and near-unanimous across the seven platforms. All seven named New York Life in the ranking stage, and all seven rated it a strong or good fit for this use case. Six platforms rated the fit "strong" and one rated it "good" (perplexity).
Platforms agreed on four points. First, the product structure matches the request: permanent lifetime coverage, guaranteed death benefit, level premiums, and guaranteed cash value growth [31]. Second, financial strength is a genuine differentiator, with the same four ratings cited across platforms [35]. Third, the dividend record is long but not guaranteed [38]. Fourth, pricing is individualized and not published, so no platform could state a representative premium (openai, anthropic, deepseek, grok, perplexity).
Platforms also agreed that cash-value access carries risk. Loans and withdrawals can reduce the death benefit, cash value, and surrender value [41].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How much does New York Life whole life insurance cost per month, and why is no price published?
- Is New York Life's whole life pricing competitive at lower coverage amounts?
Pricing was the largest area of uncertainty. No platform identified a public universal premium schedule, and pricing confidence was rated low by five platforms and moderate by two (openai, anthropic, deepseek, grok, perplexity, google, kimi). One platform reported an illustrative figure: for a healthy nonsmoking 40-year-old, a $500,000 whole life policy costs around $3,180 per year for men and $2,849 per year for women [44]. That figure was labeled inferred rather than directly sourced, so it should be treated as platform-reported.
Platforms disagreed on price competitiveness. One platform stated New York Life pricing is competitive at higher coverage amounts ($500,000 and above) but less competitive at lower amounts [45]. Another said pricing is competitive but not lowest-cost and recommended comparing Guardian, Mutual Trust, and Penn Mutual (anthropic). A third said New York Life's pricing is less competitive in the $25,000–$100,000 range (anthropic). One platform reported that whole life costs roughly ten times term life for equivalent coverage [47].
Other unresolved items: the current surrender charge schedule. A historical 2012 SEC filing showed charges declining from 7.50% in year 1 to 0% by year 10, but current terms were not verified [48]. One platform noted a policy loan interest rate guaranteed at 6%, subject to policy terms (anthropic). One platform said participating whole life may use non-direct-recognition dividend treatment, but flagged that this needs contract-specific verification [49]. Dividend-rate figures cited by reviewers varied by year and source (perplexity).
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What riders can a buyer add to a New York Life whole life policy, and what do they cost?
- How does New York Life's paid-up additions rider affect cash value and death benefit?
The features most relevant to this use case are lifetime coverage, guaranteed values, dividend options, and riders. New York Life describes whole life as providing lifelong protection with predictable premiums and cash value guaranteed to grow over time [50]. NAIC describes ordinary level-premium whole life as having premiums that remain the same throughout the insured's life or until cash value matches the face amount [52].
Dividend options give participating policyowners flexibility. Eligible policyowners may receive dividends and can generally elect to purchase paid-up additions, reduce premiums, or take cash [53]. Paid-up additions increase death benefit and cash value but carry an up-front expense charge [57].
Riders cited across platforms include accidental death benefit, disability waiver of premium, living benefits, chronic care, accelerated death benefit, yearly renewable term, spouse's paid-up insurance purchase option, guaranteed insurability, and conversion privilege [50]. One platform reported the accidental death benefit rider terminates at age 70 [66]. Eligibility, cost, limits, and availability depend on the policy form, state, issue age, and underwriting [50].
Secure Wealth Plus is the design tied to expedited underwriting. One platform reported approval in 24 to 48 hours without a medical exam [67]. Another platform noted Secure Wealth Plus coverage starts at $25,000 with age eligibility 0 to 60 [69].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- What fees, surrender charges, and loan costs apply to a New York Life whole life policy?
- What happens to a New York Life whole life policy if the buyer stops paying premiums?
No platform identified a public universal premium schedule. Premiums are individualized based on coverage amount, age, health, underwriting class, policy design, payment period, riders, and state (openai, anthropic, deepseek, perplexity). One company charge schedule shows charges per thousand of face amount vary by age, gender, and risk class [71].
Known costs include scheduled policy premiums, potential additional premiums for elected riders, interest on policy loans, and the opportunity cost of committing funds to a permanent policy rather than lower-cost term insurance (openai). One platform reported the paid-up additions rider involves an up-front expense charge per payment [72]. Another reported the policy loan interest rate is currently guaranteed at 6%, subject to policy terms (anthropic).
Contract terms are policy- and state-specific. One platform reported surrender charges apply to full and partial surrenders in early policy years, with a historical example declining from 7.50% in year 1 to 0% by year 10, but current terms should be verified [73]. The same platform reported a minimum partial surrender of $500 and that partial surrender is not permitted if it would reduce cash surrender value below $10,000 [74]. New York Life states that if a policy is cancelled, the owner receives the surrender value, which is cash value minus charges associated with cancelling [76].
Stopping premiums can cause lapse or require use of nonforfeiture options, and buyers should not assume dividends will eventually pay all premiums (openai). Outstanding loans and withdrawals can reduce benefits and values [77].
Best Suited For
Questions This Section Answers
- Who is New York Life Whole Life Insurance best for?
- Is New York Life a good fit for a buyer who wants dividends to grow cash value over time?
New York Life is best suited for buyers who prioritize insurer financial strength and long-duration policy stability over the lowest possible premium (openai, anthropic, google). It fits consumers seeking participating whole life with guaranteed cash-value growth plus potential non-guaranteed dividends (openai, deepseek, perplexity). It also fits buyers who want premium-period choices, including Custom Whole Life designs that limit premium payments to a selected period [79].
Platforms also identified estate, legacy, business-continuation, and permanent protection needs where lifetime coverage is intentional (openai). High-net-worth clients and estate-planning situations requiring sophisticated product design were named as a fit (anthropic). Buyers who value dividend flexibility — paid-up additions, premium reduction, or accelerated cash value — were also named [81].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose New York Life for Whole Life Insurance?
- Is New York Life a poor fit for a buyer who needs the lowest-cost coverage?
New York Life is probably not best suited for buyers who need the lowest-cost temporary death-benefit coverage (openai, anthropic, deepseek, grok, kimi). It is also a poor fit for buyers seeking market-based cash-value growth who are willing to accept investment risk (openai, deepseek). Consumers unable or unwilling to sustain premiums or carefully manage policy loans, withdrawals, and dividend assumptions should look elsewhere (openai, kimi).
Buyers who want a fully online, self-service purchase experience are also a poor fit. New York Life sells primarily through a career agency network, and policies cannot be purchased online except through AARP [82]. One platform reported no online quotes are available, so prospective customers must contact a financial professional for pricing [83]. Another reported a medical exam is required at the $100,000 coverage threshold, which is more stringent than most competitors [85].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to New York Life for a buyer who needs the lowest whole life premium?
- When should a buyer choose term life or a different permanent product instead of New York Life whole life?
Another option may be better in several situations. If the primary need is inexpensive coverage for a defined period, a term insurer or term policy is more suitable (openai, anthropic, deepseek, grok, kimi). If the priority is maximizing guaranteed cash value, minimizing premium, or obtaining a different dividend or loan structure, comparing other highly rated participating whole life insurers is recommended (openai, anthropic). Platforms specifically named Guardian, Mutual Trust, and Penn Mutual as comparison candidates (anthropic).
If the buyer wants flexible premiums or market-linked accumulation and understands the additional risks, universal or variable products may be considered, though these are not direct substitutes for the requested guarantee profile (openai, deepseek). If the buyer wants more transparent published rates or wants to compare many whole life quotes side by side, a multi-carrier independent agent or broker may be a better starting point (deepseek). If the buyer needs term coverage beyond 20 years or very high jumbo limits above $2 million, competitors offer longer terms and higher limits [86].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with New York Life before signing a whole life contract?
- Which values in a New York Life whole life illustration are guaranteed versus dividend-dependent?
Buyers should confirm the exact guaranteed annual premiums, death benefits, cash values, and surrender values for the selected policy and payment period (openai). They should ask which values in the illustration are guaranteed and which depend on non-guaranteed dividends [87]. They should confirm the dividend scale, dividend option, and paid-up-addition assumptions being used [88].
Other items to verify: the policy-loan interest rate, direct- or non-direct-recognition treatment, and the effect of unpaid loan interest [89]. The costs, exclusions, waiting periods, and eligibility requirements for each proposed rider [88]. What happens if premiums stop early, a dividend is insufficient, or a loan causes the policy to lapse (openai). The state-specific free-look, surrender, reinstatement, and nonforfeiture provisions (openai). And how the proposed policy compares with at least two competing participating whole life illustrations using identical assumptions (openai, anthropic).
Final AI Consensus Verdict
The consensus verdict is a strong fit for this use case, with one platform rating it good rather than strong. All seven platforms that named carriers included New York Life, and all seven assessed it as a strong or good fit for permanent participating whole life insurance with lifetime coverage, guaranteed policy values, level premiums, and cash-value accumulation.
The strongest supporting evidence is financial strength and dividend history: top ratings from all four major agencies and dividends paid every year since 1854, with a record $2.78 billion payout announced for 2026 [90]. The main limitations are that premiums are individualized and not published, dividends are not guaranteed, policies are sold through agents, and pricing is not the lowest available. Buyers should compare guaranteed and non-guaranteed illustrations, rider costs, loan provisions, and premium affordability against competing mutual insurers before committing.
How This Review Was Produced
This review evaluates New York Life only for the Whole Life Insurance use case. It is not a broad company review. Seven AI platforms were asked which life insurance carriers they would recommend for a consumer seeking permanent whole life insurance with lifetime coverage, guaranteed policy values, cash-value accumulation, and level premiums. New York Life was named by all seven platforms in the ranking stage, with an average listed rank of 3.29 and a best listed rank of 2.
Each platform supplied fit assessments, use-case findings, pricing and terms, limitations, and questions to verify before buying. Citations 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. This review is part of a broader Whole Life Insurance consensus study.
The study covers carriers across the life insurance category.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date of 2026-09-20. Six platforms reported research dates of 2026-09-21, and one platform reported 2026-02-14. Platform-reported dates are provenance metadata and do not independently prove freshness.
All included platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery. Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts; one platform in this study ran without search enabled (deepseek).
Public sources identify product features but do not provide a buyer-specific premium, guaranteed-value schedule, rider pricing, or policy-loan rate (openai). Product availability, rider availability, underwriting, and contract provisions vary by state and applicant (openai, deepseek). Ratings are current as reported by the cited sources, but ratings can change and do not guarantee claims outcomes for an individual policy (openai). Platform agreement does not prove product quality.
Sources
Company-Owned Sources
- Whole Life Insurance Policy – Nationwide: https://fin.nationwide.com/personal/insurance/life/permanent/whole/coverage/
- Whole Life Insurance | Custom Cash Value Whole Life | New York Life: https://newyorklife.com/products/insurance/whole-life
- Whole Life Insurance – Get a Quote Online | Gerber Life: https://www.gerberlife.com/products/life-insurance/whole-life-insurance
- New York Life Custom Whole Life Insurance: https://www.newyorklife.com
- About New York Life: https://www.newyorklife.com/about
- Financial Strength Ratings from Four Rating Agencies - New York Life Insurance: https://www.newyorklife.com/about/financial-strength
- Financial Strength Ratings from Four Rating Agencies: https://www.newyorklife.com/about/our-strength/what-rating-agencies-say
- Surrendering Cash Value Life Insurance | New York Life: https://www.newyorklife.com/articles/cash-in-life-insurance
- Life Insurance Dividend Options: https://www.newyorklife.com/articles/life-insurance-dividend-options
- Life Insurance Policy Riders | New York Life: https://www.newyorklife.com/articles/life-insurance-policy-riders
- Paid Up Life Insurance | New York Life: https://www.newyorklife.com/articles/paid-up-life-insurance
- What is Custom Whole Life Insurance? | New York Life: https://www.newyorklife.com/articles/what-is-custom-whole-life-insurance
- What is Whole Life Insurance? | New York Life: https://www.newyorklife.com/articles/what-is-whole-life-insurance
- AD 117 New York Life Whole Life (“WL”: https://www.newyorklife.com/assets/docs/pdfs/nyl-internet/nylifesecurities/WL-Charges.pdf
- New York Life Dividends - New York Life: https://www.newyorklife.com/dividends
- New York Life announces record $2.78 billion dividend for 2026: https://www.newyorklife.com/newsroom/2025/new-york-life-announces-record-dividend-for-2026
- Record 2025 results underscore New York Life’s financial strength: https://www.newyorklife.com/newsroom/2026/record-financial-results-for-2025
- Whole Life Insurance | Custom Cash Value Whole 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/products/investments/college-savings-529-plans
- Official pricing and terms source: https://www.newyorklife.com/about/privacy/terms-of-use
Additional AI research evidence93 records
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record openai:c3
- AI research evidence record google:1.2.1
- AI research evidence record openai:c5
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:5-7
- AI research evidence record google:1.3.1
- AI research evidence record google:2.2.4
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:36-5
- AI research evidence record anthropic:36-9
- AI research evidence record anthropic:1-14
- AI research evidence record grok:2
- AI research evidence record grok:3
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:4-9
- AI research evidence record perplexity:c2
- AI research evidence record google:1.1.2
- AI research evidence record grok:1
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:1-20
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:36-5
- AI research evidence record anthropic:36-9
- AI research evidence record grok:0
- AI research evidence record openai:c3
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:27-1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:10-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:41-5
- AI research evidence record kimi:gerber-7
- AI research evidence record anthropic:30-6
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:32-11
- AI research evidence record kimi:moneygeek-5
- AI research evidence record anthropic:45-1
- AI research evidence record perplexity:c7
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:10-7
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:41-18
- AI research evidence record anthropic:1-24
- AI research evidence record anthropic:1-21
- AI research evidence record anthropic:1-22
- AI research evidence record anthropic:1-23
- AI research evidence record anthropic:1-25
- AI research evidence record anthropic:1-26
- AI research evidence record anthropic:32-3
- AI research evidence record google:1.3.6
- AI research evidence record kimi:nyl-1
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:4-11
- AI research evidence record anthropic:1-19
- AI research evidence record anthropic:1-20
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:41-18
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:45-5
- AI research evidence record anthropic:45-6
- AI research evidence record anthropic:41-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:41-5
- AI research evidence record anthropic:4-9
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:4-6
- AI research evidence record google:2.1.9
- AI research evidence record anthropic:37-9
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:36-8
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:5-6
- AI research evidence record google:1.3.1
Independent Sources
- New York Life: https://clearvaluelending.com/reviews/new-york-life
- Insurance Topics: Life Insurance: https://content.naic.org/insurance-topics/life-insurance
- New York Life Insurance Review (2026): Pros, Cons & Ratings - Ethos: https://ethoslife.com/life-insurance-reviews/new-york-life/
- AM Best Affirms Credit Ratings of New York Life Insurance Company and Its Subsidiaries: https://news.ambest.com/
- 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 Review (2026): Is It Worth It for Whole Life?: https://rateschaser.com/life-insurance/reviews/new-york-life-insurance-review/
- Whole Life Insurance Dividend Rate History 2026 Update: https://topwholelife.com/whole-life-insurance-dividend-history/
- New York Life Enters 2026 with Industry-Leading Financial Strength Ratings - Business Wire: https://www.businesswire.com/news/home/20260105005123/en/New-York-Life-Enters-2026-with-Industry-Leading-Financial-Strength-Ratings
- New York Life Insurance Review (2026): Pros, Cons & Ratings: https://www.ethos.com/life-insurance/new-york-life-insurance-review/
- New York Life Insurance Review 2026 | Dividends & Cash Value: https://www.insuranceandestates.com/new-york-life-whole-life-insurance-review/
- New York Life Insurance Review 2026: https://www.marketwatch.com/insurance-services/life-insurance/new-york-life-insurance-review/
- Top 5 Best Dividend Paying Whole Life Insurance Companies for Maximum Cash Value Growth - Monegenix: https://www.monegenix.com/top-5-dividend-paying-whole-life-insurance-companies/
- Is Whole Life Insurance Worth It in 2026?: https://www.moneygeek.com/insurance/life/is-whole-life-insurance-worth-it/
- How Much Does Whole Life Insurance Cost? (2026 Rates: https://www.moneygeek.com/insurance/life/rates/whole-life-insurance-cost/
- New York Life Insurance Review 2026: Pricing, Pros & Cons: https://www.moneygeek.com/insurance/life/reviews/new-york-life/
- New York Life Enters 2026 with Industry-Leading Financial Strength Ratings | Morningstar: https://www.morningstar.com/news/business-wire/20260105363269/new-york-life-enters-2026-with-industry-leading-financial-strength-ratings
- 5 Best Whole Life Insurance Companies in 2026 | NerdWallet Rankings: https://www.nerdwallet.com/insurance/life/best-whole-life-insurance
- SEC Filing - New York Life Policy Data: https://www.sec.gov/Archives/edgar/data/906982/000119312512166403/d281569dex99d4.htm
- New York Life whole life insurance: features, costs, and fit: https://www.smarter.com/so-smart/new-york-life-whole-life-insurance-features-costs-fit
- New York Life Insurance Review for 2026 | U.S. News: https://www.usnews.com/insurance/life-insurance/new-york-life
- New York Life Insurance Review: Whole and Universal Life - ValuePenguin: https://www.valuepenguin.com/life-insurance/new-york-life-review
- New York Life Insurance Review - WSJ Buy Side: https://www.wsj.com/buyside/personal-finance/life-insurance/new-york-life-insurance-review
Additional AI research evidence93 records
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record openai:c3
- AI research evidence record google:1.2.1
- AI research evidence record openai:c5
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:5-7
- AI research evidence record google:1.3.1
- AI research evidence record google:2.2.4
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:36-5
- AI research evidence record anthropic:36-9
- AI research evidence record anthropic:1-14
- AI research evidence record grok:2
- AI research evidence record grok:3
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:4-9
- AI research evidence record perplexity:c2
- AI research evidence record google:1.1.2
- AI research evidence record grok:1
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:1-20
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:36-5
- AI research evidence record anthropic:36-9
- AI research evidence record grok:0
- AI research evidence record openai:c3
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:27-1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:10-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:41-5
- AI research evidence record kimi:gerber-7
- AI research evidence record anthropic:30-6
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:32-11
- AI research evidence record kimi:moneygeek-5
- AI research evidence record anthropic:45-1
- AI research evidence record perplexity:c7
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:10-7
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:41-18
- AI research evidence record anthropic:1-24
- AI research evidence record anthropic:1-21
- AI research evidence record anthropic:1-22
- AI research evidence record anthropic:1-23
- AI research evidence record anthropic:1-25
- AI research evidence record anthropic:1-26
- AI research evidence record anthropic:32-3
- AI research evidence record google:1.3.6
- AI research evidence record kimi:nyl-1
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:4-11
- AI research evidence record anthropic:1-19
- AI research evidence record anthropic:1-20
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:41-18
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:45-5
- AI research evidence record anthropic:45-6
- AI research evidence record anthropic:41-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:41-5
- AI research evidence record anthropic:4-9
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:4-6
- AI research evidence record google:2.1.9
- AI research evidence record anthropic:37-9
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:36-8
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:5-6
- AI research evidence record google:1.3.1
Other Sources
- New York Life Insurance Company: https://cdn.back9ins.com/help-desk/uploads/Y5P9ZTMA6X8FELGD
- new york life ad121 custom whole life agents manual: https://www.fmiagent.com/wp-content/uploads/2025-10-28_New_York_Life_Custom_Whole_Life_Agents_Manual_AD121.pdf
Additional AI research evidence93 records
- AI research evidence record anthropic:3-2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:36-2
- AI research evidence record openai:c3
- AI research evidence record google:1.2.1
- AI research evidence record openai:c5
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:20-2
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:5-7
- AI research evidence record google:1.3.1
- AI research evidence record google:2.2.4
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:36-5
- AI research evidence record anthropic:36-9
- AI research evidence record anthropic:1-14
- AI research evidence record grok:2
- AI research evidence record grok:3
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:4-9
- AI research evidence record perplexity:c2
- AI research evidence record google:1.1.2
- AI research evidence record grok:1
- AI research evidence record anthropic:1-17
- AI research evidence record anthropic:1-20
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:36-5
- AI research evidence record anthropic:36-9
- AI research evidence record grok:0
- AI research evidence record openai:c3
- AI research evidence record google:1.2.1
- AI research evidence record anthropic:27-1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:10-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:41-5
- AI research evidence record kimi:gerber-7
- AI research evidence record anthropic:30-6
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:32-11
- AI research evidence record kimi:moneygeek-5
- AI research evidence record anthropic:45-1
- AI research evidence record perplexity:c7
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record anthropic:10-3
- AI research evidence record anthropic:10-7
- AI research evidence record perplexity:c15
- AI research evidence record anthropic:41-18
- AI research evidence record anthropic:1-24
- AI research evidence record anthropic:1-21
- AI research evidence record anthropic:1-22
- AI research evidence record anthropic:1-23
- AI research evidence record anthropic:1-25
- AI research evidence record anthropic:1-26
- AI research evidence record anthropic:32-3
- AI research evidence record google:1.3.6
- AI research evidence record kimi:nyl-1
- AI research evidence record anthropic:4-2
- AI research evidence record anthropic:4-11
- AI research evidence record anthropic:1-19
- AI research evidence record anthropic:1-20
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:41-18
- AI research evidence record anthropic:45-1
- AI research evidence record anthropic:45-5
- AI research evidence record anthropic:45-6
- AI research evidence record anthropic:41-2
- AI research evidence record openai:c1
- AI research evidence record anthropic:41-5
- AI research evidence record anthropic:4-9
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:1-28
- AI research evidence record anthropic:4-6
- AI research evidence record google:2.1.9
- AI research evidence record anthropic:37-9
- AI research evidence record anthropic:32-5
- AI research evidence record anthropic:36-8
- AI research evidence record perplexity:c6
- AI research evidence record perplexity:c7
- AI research evidence record openai:c3
- AI research evidence record anthropic:5-4
- AI research evidence record anthropic:5-6
- AI research evidence record google:1.3.1
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
- 7
- Source records
- 46
- Ranking mentions
- 7 of 7
- Platform share
- 100%
- Final consensus rank
- #3
Behind the findings
Platforms in this study
- ChatGPT
- Claude
- DeepSeek
- Grok
- Perplexity
- Kimi
- Gemini
Source records
22 independent · 22 company-owned · 2 unclear
Evidence support
34 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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