Answer Capsule
Ethos is a mixed fit for a healthy nonsmoking consumer in their 40s seeking indexed universal life insurance with meaningful death-benefit protection and long-term cash-value potential. Two of the seven platforms in this study named Ethos during the ranking stage, and six of seven returned a usable fit assessment. The strongest reason to consider it is a digital, no-medical-exam application path to a permanent IUL issued by Ameritas, which carries an AM Best A (Excellent) rating affirmed May 22, 2025 [1]. The main limitation is that publicly available evidence does not verify Ethos-specific policy charges, caps, participation rates, loan terms, or guaranteed values, so competitiveness cannot be confirmed without a full illustration and contract.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (anthropic, kimi) |
| Share of included platform responses | 28.6% |
| Average listed rank | 5.0 |
| Best listed rank | 2 (kimi) |
| Relevant product/model/plan | Ethos Protection IUL issued by Ameritas; some platforms also reference a North American IUL |
| Overall use-case fit | Mixed |
| Research date | 2026-09-20 |
Why Ethos Qualified for This Study
Questions This Section Answers
- Is Ethos a good choice for Indexed Universal Life Insurance for People in Their 40s?
- Why did only two AI platforms name Ethos for IUL buyers in their 40s?
Ethos qualified because it sells a permanent indexed universal life product relevant to the study's use case, not because platforms ranked it highly. Two of the seven included platforms named Ethos during ranking discovery, and its average listed rank was 5.0, with a best rank of 2 from kimi. Six of the seven platforms returned a usable fit assessment, so the fit findings below reflect six assessments rather than seven.
Ethos lists an Ethos Protection IUL issued by Ameritas and describes IUL as permanent coverage with cash-value potential, flexible premiums, and up to $1 million in general coverage options [2]. Ethos agent materials state that the Ameritas Protection IUL often requires manual initiation, which qualifies the "instant decision" marketing language [4]. Independent review coverage describes Ethos primarily as a digital term-life platform with simplified underwriting rather than an IUL design leader [5].
The platform-level fit ratings were split: anthropic and grok rated Ethos a good fit, openai, deepseek, and perplexity rated it mixed, and kimi rated it uncertain. That distribution is the basis for this review's mixed overall rating. For the broader carrier set this study evaluated, see the Indexed Universal Life Insurance for People in Their 40s consensus index.
The Product, Model, Plan, or Service Most Relevant to Indexed Universal Life Insurance for People in Their 40s
Questions This Section Answers
- Which Ethos IUL product should a 40-year-old buyer ask about, and which carrier issues it?
- Does Ethos IUL cover applicants in their 40s without a medical exam?
The relevant product is the Ethos IUL issued by Ameritas Life Insurance Corp., which Ethos markets as an instant-decision IUL for permanent protection and cash-value accumulation [6]. Ethos states the policy is issued by Ameritas, that post-sale servicing is handled by Ameritas, and that up to $1,000,000 of coverage is available for applicants ages 20–50, which includes people in their 40s [8]. Ameritas' own announcement describes the product as offered exclusively through Ethos [11].
Ethos also lists a newer North American Accumulation IUL, and a July 2026 announcement covers an Ethos and North American expansion of IUL offerings [12]. Platforms disagree on which product is the right reference point: openai specifies the Ameritas product, while anthropic and grok describe the relevant plan as issued by Ameritas with a North American option. Buyers should confirm which carrier and policy form is actually being quoted before comparing anything else.
Underwriting is a genuine differentiator on paper. Ethos IUL accepts applicants aged 18–66 through a fully digital process requiring only health and lifestyle questions, with most applicants receiving decisions without a medical exam [13]. That said, Ethos agent materials indicate the Ameritas IUL may require manual initiation, so the "instant" path should be verified for a specific application [16].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Ethos IUL offers a healthy 40-year-old buyer?
- Is Ameritas a financially strong carrier for an Ethos IUL policy?
Platforms broadly agreed on four points. First, the product is permanent indexed coverage issued by Ameritas, not by Ethos itself [17]. Second, Ameritas carries credible financial-strength ratings: AM Best affirmed A (Excellent) on May 22, 2025, and Ameritas reports an A+ S&P rating as of April 8, 2026 [20]. Independent coverage of the AM Best action describes a very strong balance sheet, adequate operating performance, favorable business profile, and appropriate enterprise risk management with a stable outlook [22].
Third, platforms agreed the application path is digital and simplified, with no medical exam for most applicants [23]. Fourth, platforms agreed that IUL crediting uses index-linked formulas with caps, floors, and participation rates rather than direct stock-market investment, and that a floor does not eliminate policy expenses or lapse risk [26].
Agreement among platforms is not evidence of product quality. It reflects what the platforms found in the same public record, much of which is company-owned.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Do AI platforms disagree about whether Ethos IUL pricing is competitive for a 40-year-old?
- Is Ethos IUL available in New York, and what coverage limits apply?
Pricing was the sharpest disagreement. Anthropic reported Ethos IUL rates 14–15% below the national average and cited roughly $2,163 per month for a $500,000 policy for a 40-year-old male and $1,865 for a female [28]. Grok reported far lower figures, about $72 per month for a male age 40 at $500,000, and described them as illustrated costs [30]. Perplexity cited a third-party review reporting average monthly Ethos IUL costs of $328 for men and $275 for women, while noting those figures are not tailored to the requested buyer profile [31]. These numbers cannot all describe the same policy design, and none was independently verified.
Coverage limits were also inconsistent. Ethos general content cites up to $1 million [32], while anthropic and grok describe up to $2 million through North American [34]. Availability is narrower than the marketing implies: Ethos is available in 49 states and Washington, D.C., but not New York [36].
Charge transparency was a shared uncertainty rather than a disagreement. OpenAI, deepseek, perplexity, and kimi all reported that Ethos does not publicly disclose complete cost-of-insurance scales, premium loads, administrative fees, surrender-charge schedules, or cap and participation-rate history for its IUL [37]. Kimi also flagged that cap rates are not guaranteed industry-wide and that carriers have lowered them after issue [40].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What index options and riders does Ethos IUL include at no extra cost?
- Does Ethos IUL offer flexible premiums and a Max Funded design for long-term cash value?
Ethos IUL's documented features center on index choice, flexible funding, and included riders. MoneyGeek describes nine index options including S&P 500, Russell 2000, NASDAQ-100, a fixed account, and volatility-controlled strategies, with caps of 10% to 12% and a 0% floor [41]. Ethos product detail lists a 4.00% fixed account, up to $1M coverage for ages 20–50, and premium limits up to $10,000 monthly or $120,000 annually [44]. A grok-cited rate sheet references an S&P 500 cap of 8.5% effective January 2026 and a fixed account current rate of 4.40% with a 1% minimum guarantee [45]. These cap figures conflict across sources and should be confirmed in the current illustration.
On riders, Ethos agent materials say Care4Life accelerated death benefit, a Lifetime Income rider, and an estate-planning rider are included at no charge [46]. MoneyGeek states no other carrier in its analysis includes both living benefits and estate planning at no cost [48]. These are company and single-reviewer claims, not independently verified facts.
Funding flexibility is real but conditional. Ethos describes premium flexibility as a core IUL feature and offers a Max Funded IUL design intended to accelerate cash-value growth [49]. Ethos also states that IUL cash value only justifies the premium difference if funded consistently for 20-plus years and that policies require ongoing monitoring to avoid lapse [51].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Ethos IUL cost per month for a healthy 40-year-old, and why do the quoted figures differ?
- What fees and surrender charges should a buyer confirm before signing an Ethos IUL contract?
No reliable public premium quote or complete policy-charge schedule was verified for a healthy nonsmoking consumer in their 40s. The three platform-reported price points conflict: roughly $2,163 per month for a $500,000 policy at age 40 for males [54], roughly $72 per month for the same profile [55], and $328 per month for men on average [56]. Ethos itself states that quotes are not final prices and that the actual premium and rate class are determined after underwriting (official:C2).
Industry benchmarks give a rough frame. Independent cost data cited by kimi puts the industry average for a 40-year-old female at $335 per month and a 40-year-old male at $408 per month for $500,000 of IUL coverage, with $400,000 policies for healthy 40-year-olds ranging from about $179 to $268 per month baseline and $257 to $335 for cash-value-focused designs [57]. Ethos' placement within that range is unverified.
On fees, the general IUL structure applies: premium loads typically 5–9% in year one and 2–5% thereafter, administrative fees of roughly $50–150 per year, age-based cost of insurance that rises over time, and surrender charges that decline over 10–15 years [59]. Ethos' own materials acknowledge that premium loads are deducted from each premium and administrative fees reduce cash value, and that these mechanics are difficult to understand without careful review [61]. The exact Ameritas schedule for this product was not found in the reviewed public materials [63].
Contract terms are also thin in the public record. Platforms report a 30-day money-back guarantee and a 30-day free-look period [65], and Ethos terms state policies can be returned without obligation within 30 days of receipt in most states (official:C2). Surrender-charge schedules, loan interest rates, loan-crediting treatment, and no-lapse guarantee terms for this specific product were not verified in the checked sources [67].
Best Suited For
Questions This Section Answers
- Who is Ethos IUL best suited for among healthy nonsmokers in their 40s?
- Is Ethos IUL a good fit for a 40-year-old who wants a fully digital, no-exam application?
Ethos IUL is best suited to a healthy nonsmoker in their 40s who wants permanent indexed coverage, values a fully digital application with simplified underwriting, and is willing to obtain and compare a full illustration before committing. Platforms that rated it a good fit emphasized convenience, competitive illustrated costs, and included living-benefit riders [69].
It also suits buyers who want an IUL issued by a large carrier partner rather than purchased directly from a carrier, and who are comfortable with post-sale servicing handled by Ameritas [71]. Buyers who will independently benchmark the Ethos illustration against agent-distributed IULs from highly rated carriers are the best-positioned group, because the public record does not establish that this product's charges or credited rates beat alternatives [73].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Ethos IUL for permanent coverage in their 40s?
- Is Ethos IUL a poor fit for buyers who need large face amounts or guaranteed cash value?
Ethos IUL is probably not the best choice for buyers whose primary goal is maximum death benefit at minimum cost. Term life costs far less for pure death-benefit protection, and IUL premiums are only justified with consistent 20-plus year funding and other tax-advantaged accounts already maximized [75].
It is also a weak fit for buyers who need coverage above the stated limits, buyers in New York, and buyers who require fully transparent, publicly comparable policy charges before applying [78]. Buyers who want guaranteed cash-value growth and predictable premiums are better served by whole life, and buyers unwilling to monitor funding, policy performance, loans, and lapse risk over several decades should avoid IUL entirely [81].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Ethos IUL for a 40-year-old who wants guaranteed cash value?
- When should a 40-year-old buyer choose term life or an agent-brokered IUL instead of Ethos?
Another option may be better in several defined situations. A buyer who wants maximum death benefit at the lowest initial cost should compare competitively underwritten term insurance rather than defaulting to IUL [84]. A buyer who prioritizes stronger guarantees and predictable accumulation should compare participating whole life and guaranteed universal life from highly rated carriers [84].
A buyer who wants to compare many IUL carriers, charges, index options, and funding designs side by side should work with an independent insurance professional able to provide illustrations from multiple carriers [84]. A buyer who needs very large face amounts or advanced riders is typically better served by a fully underwritten IUL from a large insurer [88]. Buyers who want in-person advisory relationships rather than a digital-first platform should also look elsewhere [89]. For the full set of carriers this study compared, the life insurance category directory lists the broader coverage areas.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Ethos and Ameritas before signing an IUL contract?
- Which illustration scenarios and charge disclosures should a 40-year-old request before buying Ethos IUL?
Before signing, a buyer should confirm the exact Ameritas policy form and state-specific contract being offered, and which carrier — Ameritas or North American — will actually issue the policy [90]. The buyer should request guaranteed and current illustrated values at years 10, 20, 30, and 40 under multiple crediting assumptions, plus the target premium, minimum premium, planned funding period, and maximum premium before modified-endowment treatment [90].
Charge disclosure should cover cost-of-insurance charges, premium loads, administrative fees, rider charges, surrender charges, and expense assumptions, along with current and guaranteed caps, participation rates, spreads, index options, and the rules for changing them [90]. The buyer should also confirm loan interest rates, loan type, withdrawal rules, loan-crediting treatment, lapse protection, and what happens to the policy if premiums are reduced, skipped, or stopped [90].
Finally, the buyer should verify whether the application is truly instant-decision for their profile or whether the Ameritas IUL requires manual processing, medical records, or exams, and should compare the proposal against at least two alternative IULs and against term insurance plus separate investing [95].
Final AI Consensus Verdict
Mixed fit. Ethos Protection IUL is a plausible candidate for a healthy person in their 40s who specifically wants permanent indexed coverage and a digital purchase path, and Ameritas provides credible carrier-strength evidence through its AM Best A (Excellent) rating and reported A+ S&P rating [96]. It should not be rated a strong or good fit without reviewing a complete Ameritas illustration and contract, because the publicly available evidence does not establish competitive policy charges, funding flexibility in practice, guaranteed longevity, or superior long-term cash-value potential [98]. Platform fit ratings split three mixed, two good, and one uncertain, and platform agreement does not prove product quality.
How This Review Was Produced
This review synthesizes fit assessments returned by six AI platforms for a single prompt: a healthy nonsmoking consumer in their 40s seeking permanent indexed universal life insurance with meaningful death-benefit protection, long-term cash-value potential, competitive policy charges, flexible funding, strong carrier financial stability, and a design suitable for several decades. Two of seven platforms named Ethos during ranking discovery; six returned a usable fit assessment. The study date is 2026-09-20. Platform-reported research dates ranged from 2026-02-14 to 2026-09-21 and are provenance metadata only; they do not independently prove freshness. Citations are platform-reported evidence, not independently verified facts, and company-owned citations materially outnumber independent ones.
Methodology Limitations
Six of seven included platforms returned a usable fit assessment, so the fit findings are not unanimous. Platform mentions count only platforms that named Ethos during ranking discovery, which is a narrower measure than fit assessment. Platform-reported research dates differ from the authoritative run date. The supplied URLs were collected from platform responses and were not independently validated. Company-owned sources materially outnumber independent sources, so company claims should not be read as independently verified. No-search model claims require explicit verification before being treated as current facts. Conflicting product names, pricing, and coverage limits were preserved rather than resolved. No personal testing, customer experience, or independent verification was performed.
Sources
Company-Owned Sources
- Ethos IUL Agent Guide: https://online.flippingbook.com/view/319418901
- Prudential - The Power To Adapt To Life's Changes: https://prudential.scene7.com/is/content/prudential/1079717_MomentumIULBrochure
- Financial Strength - Ameritas: https://www.ameritas.com/about/financial-strength/
- Ethos Life Insurance Official Website: https://www.ethos.com/
- Ethos Index Universal Life Insurance (IUL: https://www.ethos.com/agents/ethos-iul/
- What training or certification is required to sell through Ethos?: https://www.ethos.com/agents/faq/what-training-or-certification-is-required-to-sell-through-ethos/
- Ethos IUL FAQs: https://www.ethos.com/agents/iul-faqs/
- Our products: https://www.ethos.com/agents/our-products/
- Our Life Insurance Carriers | Ethos Life: https://www.ethos.com/carriers/
- Ameritas Life Insurance Review 2026: https://www.ethos.com/life-insurance/ameritas-life-insurance-review/
- 7 Best Universal Life Insurance Companies of August 2026: https://www.ethos.com/life-insurance/best-universal-life-insurance-companies/
- Indexed Universal Life (IUL) vs Whole Life Insurance: https://www.ethos.com/life-insurance/iul-vs-whole-life/
- Max Funded IUL Explained: How It Works, Benefits, Risks: https://www.ethos.com/life-insurance/max-funded-iul/
- What Is Universal Life Insurance Policy?: https://www.ethos.com/life-insurance/universal-life-insurance/
- IUL Insurance: What Is Indexed Universal Life Insurance Policy?: https://www.ethos.com/life-insurance/what-is-indexed-universal-life-insurance-iul/
- Ethos Life - Get a free, personalized quote: https://www.ethos.com/life/indexed-universal-life-insurance-iul/
- IUL: Protect and prepare for the future you want: https://www.fmiagent.com/wp-content/uploads/2026-06-25_John_Hancock_IUL_Consumer_Guide_LIFE-6953_1-26.pdf
- Official pricing and terms source: https://www.ethos.com/terms/
- Official pricing and terms source: https://www.ethos.com/tomorrow-terms/
Additional AI research evidence101 records
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c7
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:citation_14
- AI research evidence record anthropic:citation_1
- AI research evidence record anthropic:citation_2
- AI research evidence record anthropic:citation_20
- AI research evidence record openai:c7
- AI research evidence record openai:c1
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c10
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:citation_13
- AI research evidence record anthropic:citation_1
- AI research evidence record anthropic:citation_20
- AI research evidence record perplexity:c3
- AI research evidence record openai:c3
- AI research evidence record anthropic:citation_25
- AI research evidence record anthropic:citation_7
- AI research evidence record anthropic:citation_8
- AI research evidence record grok:web:2
- AI research evidence record perplexity:c2
- AI research evidence record openai:c2
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:citation_31
- AI research evidence record grok:web:11
- AI research evidence record anthropic:citation_28
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c3
- AI research evidence record kimi:rateschaser-7
- AI research evidence record anthropic:citation_5
- AI research evidence record anthropic:citation_6
- AI research evidence record anthropic:citation_29
- AI research evidence record perplexity:c11
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:citation_17
- AI research evidence record anthropic:citation_18
- AI research evidence record anthropic:citation_10
- AI research evidence record anthropic:citation_11
- AI research evidence record anthropic:citation_15
- AI research evidence record anthropic:citation_21
- AI research evidence record anthropic:citation_24
- AI research evidence record anthropic:citation_8
- AI research evidence record grok:web:2
- AI research evidence record perplexity:c2
- AI research evidence record kimi:moneygeek-1
- AI research evidence record kimi:simplyinsurance-6
- AI research evidence record anthropic:citation_9
- AI research evidence record kimi:lifeinsureguide-5
- AI research evidence record anthropic:citation_22
- AI research evidence record anthropic:citation_23
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:citation_17
- AI research evidence record grok:web:0
- AI research evidence record kimi:johnhancock-4
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:citation_19
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c10
- AI research evidence record openai:c1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:citation_26
- AI research evidence record anthropic:citation_27
- AI research evidence record kimi:lifeinsureguide-5
- AI research evidence record anthropic:citation_28
- AI research evidence record perplexity:c3
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:citation_16
- AI research evidence record anthropic:citation_24
- AI research evidence record openai:c1
- AI research evidence record anthropic:citation_26
- AI research evidence record kimi:lifeinsureguide-5
- AI research evidence record deepseek:c3
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:citation_19
- AI research evidence record openai:c1
- AI research evidence record anthropic:citation_31
- AI research evidence record anthropic:citation_15
- AI research evidence record kimi:rateschaser-7
- AI research evidence record kimi:prudential-8
- AI research evidence record openai:c7
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c3
- AI research evidence record kimi:rateschaser-7
Independent Sources
- Insurance Topics: Life Insurance Illustrations: https://content.naic.org/insurance-topics/life-insurance-illustrations
- AM Best Affirms Credit Ratings of Ameritas Life Insurance Corp. and Its Subsidiary: https://finance.yahoo.com/news/am-best-affirms-credit-ratings-151100688.html
- Indexed Universal Life - Best Comprehensive Guide (2026: https://lifeinsureguide.com/indexed-universal-life/
- AM Best Affirms Credit Ratings of Ameritas Life Insurance Corp. and Its Subsidiary: https://news.ambest.com/pr/PressContent.aspx?altsrc=2&refnum=36041
- Ethos Life Insurance Review 2026 | Pros, Cons & Rates: https://ogletreefinancial.com/blog/ethos-life-insurance-company-review/
- What Are IUL Fees? Complete Cost Breakdown (2026: https://ogletreefinancial.com/blog/understanding-iul-fees/
- Indexed Universal Life (IUL) Insurance: How It Works and Whether It's Worth It - Rates Chaser: https://rateschaser.com/life-insurance/how-to/indexed-universal-life-insurance-iul/
- Ameritas and Ethos Life launch new index universal life product: https://www.ameritas.com/newsroom/ameritas-and-ethos-life-launch-new-index-universal-life-product/
- Ethos and North American Expand Their Indexed Universal Life Product Offering to include Children: https://www.globenewswire.com/news-release/2026/07/21/3330569/0/en/Ethos-and-North-American-Expand-Their-Indexed-Universal-Life-Product-Offering-to-include-Children.html
- Indexed Universal Life Insurance Overview (Investopedia: https://www.investopedia.com/articles/insurance/09/indexed-universal-life-insurance.asp
- Best Indexed Universal Life Insurance (2026) | MoneyGeek: https://www.moneygeek.com/insurance/life/best/indexed-universal-life-insurance/
- IUL Pros and Cons: Should You Buy an IUL? | MoneyGeek: https://www.moneygeek.com/insurance/life/iul-pros-cons/
- Indexed Universal Life Insurance Cost (2026 Rates) | MoneyGeek: https://www.moneygeek.com/insurance/life/rates/indexed-universal-life-insurance-cost/
- 2026 Ethos Life Insurance Review: Rates, Pros & Cons: https://www.moneygeek.com/insurance/life/reviews/ethos/
- Ethos Life Insurance Review (NerdWallet: https://www.nerdwallet.com/article/insurance/ethos-life-insurance-review
- ‘Recession-Proof’ Insurance Is Trending. Safety Net or Scam? - NerdWallet: https://www.nerdwallet.com/insurance/life/news/indexed-universal-life-insurance-trending
- $400,000 Indexed Universal Life Insurance Cost at Age 40: https://www.simplyinsurance.com/how-much-does-a-400000-indexed-universal-life-insurance-policy-cost-at-age-40/
Additional AI research evidence101 records
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c7
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:citation_14
- AI research evidence record anthropic:citation_1
- AI research evidence record anthropic:citation_2
- AI research evidence record anthropic:citation_20
- AI research evidence record openai:c7
- AI research evidence record openai:c1
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c10
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:citation_13
- AI research evidence record anthropic:citation_1
- AI research evidence record anthropic:citation_20
- AI research evidence record perplexity:c3
- AI research evidence record openai:c3
- AI research evidence record anthropic:citation_25
- AI research evidence record anthropic:citation_7
- AI research evidence record anthropic:citation_8
- AI research evidence record grok:web:2
- AI research evidence record perplexity:c2
- AI research evidence record openai:c2
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:citation_31
- AI research evidence record grok:web:11
- AI research evidence record anthropic:citation_28
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c3
- AI research evidence record kimi:rateschaser-7
- AI research evidence record anthropic:citation_5
- AI research evidence record anthropic:citation_6
- AI research evidence record anthropic:citation_29
- AI research evidence record perplexity:c11
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:citation_17
- AI research evidence record anthropic:citation_18
- AI research evidence record anthropic:citation_10
- AI research evidence record anthropic:citation_11
- AI research evidence record anthropic:citation_15
- AI research evidence record anthropic:citation_21
- AI research evidence record anthropic:citation_24
- AI research evidence record anthropic:citation_8
- AI research evidence record grok:web:2
- AI research evidence record perplexity:c2
- AI research evidence record kimi:moneygeek-1
- AI research evidence record kimi:simplyinsurance-6
- AI research evidence record anthropic:citation_9
- AI research evidence record kimi:lifeinsureguide-5
- AI research evidence record anthropic:citation_22
- AI research evidence record anthropic:citation_23
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:citation_17
- AI research evidence record grok:web:0
- AI research evidence record kimi:johnhancock-4
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:citation_19
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c10
- AI research evidence record openai:c1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:citation_26
- AI research evidence record anthropic:citation_27
- AI research evidence record kimi:lifeinsureguide-5
- AI research evidence record anthropic:citation_28
- AI research evidence record perplexity:c3
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:citation_16
- AI research evidence record anthropic:citation_24
- AI research evidence record openai:c1
- AI research evidence record anthropic:citation_26
- AI research evidence record kimi:lifeinsureguide-5
- AI research evidence record deepseek:c3
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:citation_19
- AI research evidence record openai:c1
- AI research evidence record anthropic:citation_31
- AI research evidence record anthropic:citation_15
- AI research evidence record kimi:rateschaser-7
- AI research evidence record kimi:prudential-8
- AI research evidence record openai:c7
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c3
- AI research evidence record kimi:rateschaser-7
Other Sources
- Ethos IUL Rate Sheet: https://online.flippingbook.com/view/25210218
Additional AI research evidence101 records
- AI research evidence record openai:c5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c7
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c10
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:citation_14
- AI research evidence record anthropic:citation_1
- AI research evidence record anthropic:citation_2
- AI research evidence record anthropic:citation_20
- AI research evidence record openai:c7
- AI research evidence record openai:c1
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c10
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:citation_13
- AI research evidence record anthropic:citation_1
- AI research evidence record anthropic:citation_20
- AI research evidence record perplexity:c3
- AI research evidence record openai:c3
- AI research evidence record anthropic:citation_25
- AI research evidence record anthropic:citation_7
- AI research evidence record anthropic:citation_8
- AI research evidence record grok:web:2
- AI research evidence record perplexity:c2
- AI research evidence record openai:c2
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:citation_31
- AI research evidence record grok:web:11
- AI research evidence record anthropic:citation_28
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c3
- AI research evidence record kimi:rateschaser-7
- AI research evidence record anthropic:citation_5
- AI research evidence record anthropic:citation_6
- AI research evidence record anthropic:citation_29
- AI research evidence record perplexity:c11
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c14
- AI research evidence record anthropic:citation_17
- AI research evidence record anthropic:citation_18
- AI research evidence record anthropic:citation_10
- AI research evidence record anthropic:citation_11
- AI research evidence record anthropic:citation_15
- AI research evidence record anthropic:citation_21
- AI research evidence record anthropic:citation_24
- AI research evidence record anthropic:citation_8
- AI research evidence record grok:web:2
- AI research evidence record perplexity:c2
- AI research evidence record kimi:moneygeek-1
- AI research evidence record kimi:simplyinsurance-6
- AI research evidence record anthropic:citation_9
- AI research evidence record kimi:lifeinsureguide-5
- AI research evidence record anthropic:citation_22
- AI research evidence record anthropic:citation_23
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:citation_17
- AI research evidence record grok:web:0
- AI research evidence record kimi:johnhancock-4
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:citation_19
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c7
- AI research evidence record perplexity:c10
- AI research evidence record openai:c1
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:citation_26
- AI research evidence record anthropic:citation_27
- AI research evidence record kimi:lifeinsureguide-5
- AI research evidence record anthropic:citation_28
- AI research evidence record perplexity:c3
- AI research evidence record deepseek:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:citation_16
- AI research evidence record anthropic:citation_24
- AI research evidence record openai:c1
- AI research evidence record anthropic:citation_26
- AI research evidence record kimi:lifeinsureguide-5
- AI research evidence record deepseek:c3
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:citation_19
- AI research evidence record openai:c1
- AI research evidence record anthropic:citation_31
- AI research evidence record anthropic:citation_15
- AI research evidence record kimi:rateschaser-7
- AI research evidence record kimi:prudential-8
- AI research evidence record openai:c7
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c3
- AI research evidence record kimi:rateschaser-7
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
- 38
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #9
Behind the findings
Platforms in this study
- ChatGPT
- Claude
- DeepSeek
- Grok
- Perplexity
- Kimi
- Gemini
Source records
17 independent · 20 company-owned · 1 unclear
Evidence support
32 direct · 6 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
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