Answer Capsule
OneAmerica is a good fit for a buyer seeking participating whole life with paid-up additions, but the fit is not unanimous. Three of seven platforms named OneAmerica during the ranking stage (deepseek, google, kimi), giving it a 42.9% share of included platform responses, an average listed rank of 7.0, and a best listed rank of 3. The strongest reason to consider it is a Paid-Up Additions Rider described across platforms as carrying a 6% upfront load, with a catch-up provision and a $120 annual minimum. The main limitation is that no current public premium quote, dividend scale, rider charge schedule, or policy-specific cash-value illustration was verified, and platforms disagreed on whether OneAmerica's PUA growth is strong or merely average.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (deepseek, google, kimi) |
| Share of included platform responses | 42.9% |
| Average listed rank | 7.0 |
| Best listed rank | 3 (google) |
| Relevant product/model/plan | Legacy 121 / Whole Life 121 with Paid-Up Additions Rider; Whole Life 95 and Whole Life Select also referenced |
| Overall use-case fit | Good, subject to verification (platform fit ratings: strong for google and grok; good for openai, anthropic, deepseek, perplexity; mixed for kimi) |
| Research date | 2026-09-20 |
Why OneAmerica Qualified for This Study
Questions This Section Answers
- Is OneAmerica a good choice for Whole Life Insurance With Paid-Up Additions?
- Why did only three of seven AI platforms name OneAmerica in the ranking stage?
OneAmerica qualified because it met the study's minimum threshold of two platform mentions and because the platforms that named it described a participating whole life portfolio with a paid-up additions rider. Three platforms named it during ranking discovery: deepseek (rank 10), google (rank 3), and kimi (rank 8). Four platforms evaluated OneAmerica's fit but did not name it in the ranking stage, so the mention count understates how many platforms actually assessed the carrier.
The qualification rests on four supplied criteria. First, a financially established participating insurer: OneAmerica reports A.M. Best A+ stable and S&P AA- stable ratings for American United life insurance Company and The State Life Insurance Company [1], and A.M. Best's rating record independently shows an A+ Superior financial-strength rating with stable outlook for the OneAmerica Group rating unit, including AUL, affirmed in 2025 [2]. Second, flexible paid-up additions provisions: OneAmerica materials reference a Paid-Up Additions Rider and a PUA rider catch-up provision [3], and a policy guide lists paid-up additions as a dividend distribution option [4]. Third, strong guaranteed values: OneAmerica describes level premiums, nondecreasing death benefits, and guaranteed-rate value growth [5]. Fourth, a design suitable for long-term cash-value accumulation: the structure combines permanent coverage, dividends, and paid-up additions [6].
The qualification is not clean. The ranking-stage recommendation used "Legacy 121," while the current OneAmerica consumer page uses Whole Life 121 and lists Whole Life 95 and Whole Life Select [5]. That naming conflict is unresolved in the supplied evidence.
The Product, Model, Plan, or Service Most Relevant to Whole Life Insurance With Paid-Up Additions
Questions This Section Answers
- Which OneAmerica whole life plan should a buyer choose if they want paid-up additions for long-term cash-value accumulation?
- Is OneAmerica's Legacy 121 the same product as Whole Life 121?
The most relevant offering is a participating OneAmerica whole life policy paired with a Paid-Up Additions Rider, most often labeled Legacy 121 or Whole Life 121. Platforms also referenced Whole Life 95 and Whole Life Select, and kimi referenced an "Advantage series" for smaller policies [7]. The exact current product name and form number are unclear from the supplied evidence.
Platforms described the rider mechanics with unusual consistency on some points and disagreement on others. The most repeated figure is a 6% upfront load on PUA premiums for ages 0–100, dropping to 0% at age 100+ [8]. Anthropic reported a $10 monthly minimum PUA premium and a maximum of roughly 3x base premium without evidence of insurability in most years [8]. Deepseek and kimi reported a $120 minimum annual PUA contribution [11]. Those two minimums are not necessarily contradictory—$10 monthly equals $120 annually—but the supplied sources state them differently and neither was confirmed against a current contract.
Anthropic also described Accelerator and Blend Accelerator PUA rider variants, a two-year catch-up window for missed PUA payments, and a 3.25% guaranteed interest rate on base policy and paid-up additions cash values [13]. Google described a catch-up provision that lets policyholders resume funding without losing the rider or re-qualifying [14]. Perplexity noted a declining-load option mentioned in third-party coverage but did not verify its current applicability [15].
Separately, several platforms described an Indexed Dividend Crediting Option (IDO) rider that links part or all of a dividend to S&P 500 performance with downside protection, available on Legacy and Legacy 121 policies [16]. This is a dividend-crediting feature, not a PUA feature, and it should not be confused with the paid-up additions rider itself.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree on about OneAmerica's paid-up additions rider?
- Does OneAmerica charge a 6% load on paid-up additions premiums?
Platforms agreed on four points, with the strongest agreement on the rider load. Five platforms—anthropic, deepseek, google, grok, and kimi—reported a 6% upfront PUA load [19]. Perplexity also reported the 6% figure from company and third-party materials [24]. That is the closest thing to consensus in this study.
Platforms also agreed that OneAmerica's whole life policies are participating and can be paired with a PUA rider [26]. They agreed that the policies carry guaranteed level premiums, guaranteed death benefits, and guaranteed cash-value growth [28]. And they agreed that pricing is not publicly posted, requiring an agent or financial professional to produce an illustration [31].
Two platforms reported financial-strength ratings. OpenAI cited OneAmerica's own page reporting A.M. Best A+ and S&P AA- [32], and A.M. Best's independent rating record showing A+ affirmed in 2025 [33]. Google reported the same A+ and AA- ratings and cited a 10-basis-point dividend interest rate increase for 2026 [34]. Those dividend-increase details are company-reported and were not independently verified in the supplied evidence.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Is OneAmerica's paid-up additions growth strong or only average compared with other carriers?
- Why do AI platforms disagree about OneAmerica's financial strength rating?
The sharpest disagreement concerns PUA growth performance. Deepseek and kimi both characterized OneAmerica's PUA growth as "average" relative to peers, citing an independent comparison [36]. Kimi went further, rating the overall fit "mixed" and stating that carriers with higher load fees, such as Penn Mutual and Northwestern Mutual, may outperform over 20+ years because of stronger dividend crediting [38]. Google took the opposite position, rating the fit "strong" and calling OneAmerica "an excellent choice for a permanent cash-accumulation strategy" [39]. Grok also rated the fit "strong" [41]. This is a genuine conflict, not a difference in emphasis, and it turns on dividend performance that no supplied source quantifies.
Financial strength is the second conflict. OpenAI and google both reported A+ and AA- ratings with citations [42]. Anthropic and perplexity both stated that no A.M. Best rating or financial-strength verification was found in their research [44]. The most likely explanation is search coverage rather than a rating change, but the supplied evidence does not establish that, and buyers should confirm current ratings directly.
Product naming is the third uncertainty. Platforms used Legacy 121, Whole Life 121, Whole Life 95, Whole Life Select, and an "Advantage series" label without reconciling them [46]. Perplexity explicitly flagged that the "Advantage series" label for smaller policies was not verified from a primary source [45].
Other unresolved items: whether the catch-up provision and IDO rider are approved in every state [49]; whether the 3.25% guaranteed rate announced in December 2021 is still current [44]; whether the PUA rider can be added after policy issue [47]; and whether the 6% load is truly "one of the lowest in the industry," which anthropic noted cannot be verified without competitors' current rates [51].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What paid-up additions features does OneAmerica offer for long-term cash-value accumulation?
- How much can a buyer contribute to OneAmerica's paid-up additions rider each year?
The core capability is a participating whole life policy whose cash value and death benefit can be increased through paid-up additions purchased with additional premiums or dividends. OneAmerica states that whole life may earn dividends that enhance performance or lower premiums [52], and a policy guide lists paid-up additions as a dividend distribution option [53].
Funding mechanics, as reported across platforms: a 6% upfront load on PUA premiums for ages 0–100 and 0% at age 100+ [54]; a minimum PUA premium reported as $10 monthly by anthropic and $120 annually by deepseek and kimi [54]; a maximum of roughly 3x base premium without evidence of insurability in most years [54]; and a catch-up provision allowing missed PUA payments to be made up within a two-year window [59]. Anthropic noted the maximum PUA premium cap may limit aggressive funding for high-income buyers [54].
Guaranteed values: OneAmerica describes level premiums, nondecreasing death benefits, guaranteed-rate value growth, and the ability to borrow against the policy, with guarantees dependent on the claims-paying ability of American United Life Insurance Company [61]. Anthropic reported a 3.25% guaranteed interest rate on base policy and paid-up additions cash values, announced in December 2021 [62]. Google reported the same 3.25% rate following product modernization to meet IRC Section 7702 standards [63]. Neither platform confirmed the rate is current for 2026.
Tax structure: PUA contributions are capped to avoid crossing the 7-pay limit, which would convert the policy to a Modified Endowment Contract and strip tax-free treatment from loans and withdrawals [65]. Deepseek noted that overfunding with PUAs risks MEC status and that distributions before age 59.5 may incur a 10% penalty [67].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does OneAmerica whole life with paid-up additions cost per month, and what fees apply?
- Are there surrender charges or policy fees on OneAmerica's whole life with paid-up additions?
No public premium schedule exists for OneAmerica whole life. Every platform that addressed pricing reported the same gap: premiums, rider charges, and cash-value schedules are available only through an agent or financial professional [68]. Pricing confidence was rated low by openai, anthropic, grok, and perplexity, and moderate by deepseek and kimi.
The only specific, repeatedly reported charge is the 6% upfront PUA load [69]. Deepseek and kimi described it as a one-time charge deducted at purchase with no ongoing PUA fees [72]. Google and grok reported no policy fee on Whole Life 121 [73]. Anthropic listed rider costs that vary by issue age, gender, and risk classification for the Enhanced Blended Insurance Rider, Guaranteed Insurability Option, Waiver of Premium Disability, Survivor Purchase Option, and Credit of Paid-Up Additions for Disability Rider, none publicly disclosed [69]. Anthropic also reported a Children's Benefit Rider at $6.50 per unit and noted that the Indexed Dividend Option, Chronic Illness, and Terminal Illness riders carry no additional premium [69].
Contract terms reported: guaranteed level premiums for life if paid as scheduled; policy payable to age 121; cash value accessible by loan or withdrawal; and dividend options including cash, accumulate at interest, reduce premium, or purchase paid-up additions [69]. Google reported surrender charges extending up to 10 years from the policy date, meaning early cancellation or withdrawal in the first years results in financial loss [73]. Policy loans reduce cash value and death benefit, accrue interest, increase lapse risk, and may create tax liability if the policy terminates with a loan outstanding [76]. Kimi noted the PUA rider may be lost if minimum contributions are not maintained, with reinstatement requirements unclear [75].
Best Suited For
Questions This Section Answers
- Who is OneAmerica's whole life with paid-up additions best suited for?
- Is OneAmerica a good fit for a buyer who wants low PUA load fees and a low minimum contribution?
OneAmerica is best suited to buyers who want a participating whole life policy with a below-average PUA load and a low barrier to entry, and who are willing to verify illustration details through an advisor. The 6% load and the reported $120 annual minimum make the rider accessible to moderate accumulators rather than only maximum-funding buyers [77].
Platforms converged on three buyer profiles. First, buyers prioritizing guaranteed permanent coverage from a financially strong issuing insurer [79]. Second, buyers who want dividends and paid-up additions to increase cash value and death benefit over a long horizon [81]. Third, buyers who can fund the rider consistently for a decade or more and who can identify a productive use for borrowed capital [83]. Deepseek noted that PUA designs typically do not break even before year four, with year five or later normal [84].
Buyers who value the catch-up provision specifically—those with uneven income—are also a fit, since it allows missed PUA payments to be resumed without losing the rider [85].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose OneAmerica for Whole Life Insurance With Paid-Up Additions?
- Is OneAmerica a poor fit for a buyer who wants transparent online pricing?
OneAmerica is probably not the best fit for buyers who want transparent, publicly posted pricing or a self-directed purchase. Every platform reported that premiums and illustrations require agent contact [86]. OpenAI listed this as a direct limitation, stating the product is generally agent-mediated rather than transparently priced online [89].
It is also a weaker fit for buyers whose primary objective is the largest death benefit per dollar or low-cost temporary coverage. Deepseek stated the design produces a modest death benefit by design and is not suitable for those seeking maximum coverage per dollar or immediate break-even [90]. OpenAI and anthropic both noted that term insurance is the better comparison when the need is inexpensive temporary protection [89].
Buyers who need highly documented PUA flexibility before contacting an agent are also poorly served, because the most flexible mechanics are described mainly in secondary sources rather than primary consumer contract materials [88]. And buyers in states where the product or specific riders are unavailable cannot proceed at all; OneAmerica states product availability may vary by state [86].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to OneAmerica for a buyer who wants the lowest paid-up additions load fee?
- When should a buyer choose a different carrier instead of OneAmerica for paid-up additions?
Another carrier may be better in four situations the platforms identified. First, when the lowest PUA load is the priority: kimi and grok both cited New York Life at 3.5% as lower than OneAmerica's 6% [93]. Second, when maximum contribution flexibility matters most: kimi rated Guardian and Lafayette Life as more flexible than OneAmerica's "some flexibility" [93]. Third, when the strongest long-term PUA cash-value growth is the goal: kimi and deepseek both suggested Penn Mutual or Northwestern Mutual may outperform despite higher loads, based on dividend crediting rather than load fee alone [95]. Fourth, when the buyer wants real-time online pricing and illustration tools without agent mediation [97].
Outside whole life entirely, platforms suggested term insurance when the need is inexpensive temporary death-benefit protection, guaranteed universal life when the priority is a defined death benefit with less emphasis on cash-value accumulation, and non-insurance savings or investment strategies when permanent insurance is not otherwise justified [98]. Those alternatives require separate tax and risk analysis and were not evaluated in this study.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with OneAmerica before signing a whole life contract with paid-up additions?
- How can a buyer verify OneAmerica's current dividend scale and PUA limits?
The supplied research produced a consistent verification list across platforms. Buyers should confirm the exact current policy and rider form number in their state, and whether it is Legacy 121, Whole Life 121, Whole Life 95, Whole Life Select, or another form [99]. They should confirm whether the PUA rider is guaranteed, non-guaranteed, or partly discretionary, and its minimums, maximums, payment windows, and catch-up rules [101].
On economics, buyers should request guaranteed and current-assumption values at years 5, 10, 20, 30, and life expectancy under the proposed design; the dividend scale being illustrated and how it has changed historically; and what happens if dividends are lower or zero [99]. They should confirm the current guaranteed interest rate, since the 3.25% figure was announced in December 2021 and not verified as current [103].
On structure, buyers should confirm how PUAs affect death benefit, cash value, MEC status, premium limits, and future dividend calculations; the loan interest rate, direct-recognition treatment, repayment rules, and lapse-warning procedures; and whether any planned reduced-pay or premium-offset outcome depends on future dividends [99]. They should confirm which legal entity issues the policy and its current financial-strength ratings, since platforms disagreed on whether ratings were verified [106]. Finally, they should confirm state-specific exclusions, underwriting limits, free-look period, nonforfeiture choices, and cancellation consequences, including the reported surrender charge period of up to 10 years [107].
Final AI Consensus Verdict
OneAmerica is a good fit for Whole Life Insurance With Paid-Up Additions, subject to verification. The consensus is not unanimous: google and grok rated the fit strong, openai, anthropic, deepseek, and perplexity rated it good, and kimi rated it mixed. Three of seven platforms named OneAmerica in the ranking stage, with an average listed rank of 7.0 and a best rank of 3.
The case for OneAmerica rests on a participating whole life portfolio with a PUA rider carrying a 6% upfront load, a catch-up provision, a low minimum contribution, guaranteed values, and reported A+ and AA- financial-strength ratings. The case against rests on unverified current pricing, an unresolved product-naming conflict, disagreement about whether PUA growth is strong or average, and a lack of primary-source documentation for the most flexible rider mechanics.
Platform agreement does not establish product quality. It establishes that multiple AI systems, working from overlapping public sources, reached similar descriptions of the same product. The buyer's decision should turn on the state-specific contract, the guaranteed and current illustration, the PUA rider economics, the dividend history, and the loan provisions—none of which were verified in this study.
How This Review Was Produced
This review evaluates OneAmerica only for the Whole Life Insurance With Paid-Up Additions use case. It is not a broad company review. Seven AI platforms were queried with the same buyer prompt: a consumer wanting whole life insurance that allows cash value and death benefit increases through paid-up additions, from a financially established participating insurer, with flexible PUA provisions, strong guaranteed values, and a design suitable for long-term cash-value accumulation.
Platforms that named OneAmerica during ranking discovery were counted as mentions. All seven platforms produced fit assessments, which are reported separately from mention counts. Fit ratings, product names, pricing details, and limitations were taken from platform responses and their cited sources. The study date is 2026-09-20.
Methodology Limitations
Platform-reported research dates differ from the authoritative run date. Anthropic reported 2026-01-08; deepseek, google, grok, kimi, openai, and perplexity reported 2026-09-21. Platform-reported dates are provenance metadata and do not independently prove freshness.
All included platforms evaluated fit, but the platform mention count reflects only platforms that named OneAmerica during ranking discovery. Company-owned citations materially outnumber independent citations in the supplied evidence, so company claims should not be read as independently verified. The supplied URLs were collected from platform responses and were not independently validated at the writing stage. Citations are platform-reported evidence, not independently verified facts.
Several material conflicts remain unresolved: the product name (Legacy 121 versus Whole Life 121 versus Whole Life 95 versus Whole Life Select versus an Advantage series), the current guaranteed interest rate, the current dividend scale, whether the catch-up provision and IDO rider are available in every state, and whether the 6% load is genuinely among the lowest in the industry. No current public premium quote, rider charge schedule, or policy-specific cash-value illustration was verified. Official-site retrieval failed for one or more mentions, and no failed fetch was used as a verified domain key. Where a platform supplied no citation for a factual claim, that claim is labeled platform-reported or unverified rather than presented as established.
Sources
Company-Owned Sources
- OneAmerica marketing materials catalog - Whole Life Insurance Client Brochure and Paid-Up Additions Materials: http://www1.oneamerica.com/ols/marketing/resources/eCatalogforMarketingMaterials.pdf
- OneAmerica Individual Products Guide - Whole Life 95 and Whole Life 121 Specifications: https://allegisfp.com/downloads/IndividualProductsGuide.pdf
- OneAmerica Unveils Modernized Whole Life Product Portfolio: https://www.mortgageloans.oneamerica.com/wps/portal/OneAmerica/newsroom/news-releases/news-releases?1dmy&urile=wcm:path:/oacontent/oneamerica/newsroom/news-releases/oneamerica-unveils-modernized-whole-life-product-portfolio
- OneAmerica Life Insurance Product Information (ranking stage normalization: https://www.oneamerica.com/
- Life Insurance Products: https://www.oneamerica.com/individuals/offerings/life-insurance-products
- Whole Life Insurance: https://www.oneamerica.com/individuals/offerings/life-insurance-products/whole-life
- Financial Strength and Ratings: https://www.oneamerica.com/wps/wcm/connect/oacontent/oneamerica/about-us/financial-strength/financial-strength-ratings
- OneAmerica® Unveils Modernized Whole Life Product Portfolio: https://www.prnewswire.com/news-releases/oneamerica-unveils-modernized-whole-life-product-portfolio-301440488.html
- OneAmerica | News Releases - Indexed Dividend Crediting Option Rider: https://www.wcm.oneamerica.com/wps/portal/OneAmerica/newsroom/news-releases/indexed-dividend-crediting-option-rider
- OneAmerica | Individual Life & Annuities: https://www.wcm.oneamerica.com/wps/portal/OneAmerica/newsroom/news-releases/individual-life-annuities?WCM_Page.5f4289cd-e15e-4dac-a883-f5d8b56c9218=3
- OneAmerica Marketing Materials Catalog: https://www1.oneamerica.com/ols/marketing/resources/eCatalogforMarketingMaterials.pdf
- Official pricing and terms source: https://www.oneamerica.com/individuals/offerings/workplace-retirement-plans
Additional AI research evidence108 records
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record kimi:oneamerica-product-merge
- AI research evidence record anthropic:c3
- AI research evidence record grok:1
- AI research evidence record google:1.1.7
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record anthropic:c2
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c6
- AI research evidence record perplexity:c15
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:c3
- AI research evidence record deepseek:c4
- AI research evidence record google:1.1.7
- AI research evidence record grok:1
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:c1
- AI research evidence record grok:0
- AI research evidence record anthropic:c5
- AI research evidence record openai:c1
- AI research evidence record kimi:oneamerica-product-merge
- AI research evidence record openai:c7
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record google:1.3.1
- AI research evidence record google:1.3.2
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record kimi:insuranceandestates-performance
- AI research evidence record google:1.1.7
- AI research evidence record google:1.3.1
- AI research evidence record grok:0
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:c2
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record kimi:oneamerica-product-merge
- AI research evidence record perplexity:c9
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c3
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:c3
- AI research evidence record grok:1
- AI research evidence record google:1.1.7
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record anthropic:c1
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:c2
- AI research evidence record google:1.1.8
- AI research evidence record google:1.2.5
- AI research evidence record deepseek:c6
- AI research evidence record kimi:legalclarity-mec
- AI research evidence record deepseek:c1
- AI research evidence record openai:c7
- AI research evidence record anthropic:c3
- AI research evidence record perplexity:c1
- AI research evidence record grok:0
- AI research evidence record deepseek:c4
- AI research evidence record google:1.1.7
- AI research evidence record grok:1
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record openai:c1
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c2
- AI research evidence record deepseek:c5
- AI research evidence record kimi:betterwealth-breakeven
- AI research evidence record google:1.1.3
- AI research evidence record openai:c7
- AI research evidence record anthropic:c3
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record deepseek:c5
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c5
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record grok:0
- AI research evidence record kimi:insuranceandestates-performance
- AI research evidence record deepseek:c4
- AI research evidence record anthropic:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c2
- AI research evidence record google:1.1.8
- AI research evidence record deepseek:c6
- AI research evidence record openai:c5
- AI research evidence record openai:c7
- AI research evidence record google:1.1.7
Independent Sources
- Paid Up Additions: Whole Life's Turbocharger: https://bankingtruths.com/pua-paid-up-additions/
- Best Whole Life Insurance for Cash Value (2026) - BetterWealth: https://betterwealth.com/blogs/best-whole-life-for-cash-value
- OneAmerica Introduces New Indexed Dividend Crediting Option Rider for Whole Life Policies: https://insurancenewsnet.com/
- OneAmerica unveils modernized whole life product portfolio: https://insurancenewsnet.com/oarticle/oneamerica-unveils-modernized-whole-life-product-portfolio
- Best's Credit Rating Center: OneAmerica Group: https://ratings.ambest.com/RatingReview.aspx?AltNum=7376109&AltSrc=1&Ext_Misc=&Ext_User=&PPP=&Portal=0&Site=&URatingId=0&ambnum=70399&bl=0
- Individual Products Guide - Allegis Financial Partners: https://www.allegisfp.com/
- OneAmerica Financial Life Insurance Review 2026 Dividend Update: https://www.insuranceandestates.com/oneamerica-review/
- Top 10 Best Dividend Paying Whole Life Insurance Companies: https://www.insuranceandestates.com/top-10-best-dividend-paying-whole-life-insurance-companies/
- What Are Paid-Up Additions in Life Insurance?: https://www.nerdwallet.com/insurance/life/learn/paid-up-additions-life-insurance
- OneAmerica® Introduces New Indexed Dividend Crediting Option Rider: https://www.prnewswire.com/
- Understanding Paid-Up Additions: What, How, Pros & Cons: https://www.westernsouthern.com/life-insurance/paid-up-additions
Additional AI research evidence108 records
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record kimi:oneamerica-product-merge
- AI research evidence record anthropic:c3
- AI research evidence record grok:1
- AI research evidence record google:1.1.7
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record anthropic:c2
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c6
- AI research evidence record perplexity:c15
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:c3
- AI research evidence record deepseek:c4
- AI research evidence record google:1.1.7
- AI research evidence record grok:1
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:c1
- AI research evidence record grok:0
- AI research evidence record anthropic:c5
- AI research evidence record openai:c1
- AI research evidence record kimi:oneamerica-product-merge
- AI research evidence record openai:c7
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record google:1.3.1
- AI research evidence record google:1.3.2
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record kimi:insuranceandestates-performance
- AI research evidence record google:1.1.7
- AI research evidence record google:1.3.1
- AI research evidence record grok:0
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:c2
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record kimi:oneamerica-product-merge
- AI research evidence record perplexity:c9
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c3
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:c3
- AI research evidence record grok:1
- AI research evidence record google:1.1.7
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record anthropic:c1
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:c2
- AI research evidence record google:1.1.8
- AI research evidence record google:1.2.5
- AI research evidence record deepseek:c6
- AI research evidence record kimi:legalclarity-mec
- AI research evidence record deepseek:c1
- AI research evidence record openai:c7
- AI research evidence record anthropic:c3
- AI research evidence record perplexity:c1
- AI research evidence record grok:0
- AI research evidence record deepseek:c4
- AI research evidence record google:1.1.7
- AI research evidence record grok:1
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record openai:c1
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c2
- AI research evidence record deepseek:c5
- AI research evidence record kimi:betterwealth-breakeven
- AI research evidence record google:1.1.3
- AI research evidence record openai:c7
- AI research evidence record anthropic:c3
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record deepseek:c5
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c5
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record grok:0
- AI research evidence record kimi:insuranceandestates-performance
- AI research evidence record deepseek:c4
- AI research evidence record anthropic:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c2
- AI research evidence record google:1.1.8
- AI research evidence record deepseek:c6
- AI research evidence record openai:c5
- AI research evidence record openai:c7
- AI research evidence record google:1.1.7
Other Sources
- Paid-Up Additions Whole Life: The Cash Value Engine: https://betterwealth.com/blogs/paid-up-additions-whole-life-insurance
- What Are Paid-Up Additions in Life Insurance? - LegalClarity: https://legalclarity.org/what-are-paid-up-additions-in-life-insurance/
- Paid-Up Additions Explained: How PUAs Maximize Whole Life Cash Value: https://www.insuranceandestates.com/paid-up-additions/
Additional AI research evidence108 records
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record kimi:oneamerica-product-merge
- AI research evidence record anthropic:c3
- AI research evidence record grok:1
- AI research evidence record google:1.1.7
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record anthropic:c2
- AI research evidence record google:1.1.3
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:c6
- AI research evidence record perplexity:c15
- AI research evidence record google:1.1.4
- AI research evidence record anthropic:c3
- AI research evidence record deepseek:c4
- AI research evidence record google:1.1.7
- AI research evidence record grok:1
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:c1
- AI research evidence record grok:0
- AI research evidence record anthropic:c5
- AI research evidence record openai:c1
- AI research evidence record kimi:oneamerica-product-merge
- AI research evidence record openai:c7
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record google:1.3.1
- AI research evidence record google:1.3.2
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record kimi:insuranceandestates-performance
- AI research evidence record google:1.1.7
- AI research evidence record google:1.3.1
- AI research evidence record grok:0
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:c2
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record kimi:oneamerica-product-merge
- AI research evidence record perplexity:c9
- AI research evidence record google:1.1.3
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c3
- AI research evidence record openai:c2
- AI research evidence record openai:c4
- AI research evidence record anthropic:c3
- AI research evidence record grok:1
- AI research evidence record google:1.1.7
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record anthropic:c1
- AI research evidence record google:1.1.3
- AI research evidence record openai:c1
- AI research evidence record anthropic:c2
- AI research evidence record google:1.1.8
- AI research evidence record google:1.2.5
- AI research evidence record deepseek:c6
- AI research evidence record kimi:legalclarity-mec
- AI research evidence record deepseek:c1
- AI research evidence record openai:c7
- AI research evidence record anthropic:c3
- AI research evidence record perplexity:c1
- AI research evidence record grok:0
- AI research evidence record deepseek:c4
- AI research evidence record google:1.1.7
- AI research evidence record grok:1
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record openai:c1
- AI research evidence record deepseek:c4
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c2
- AI research evidence record deepseek:c5
- AI research evidence record kimi:betterwealth-breakeven
- AI research evidence record google:1.1.3
- AI research evidence record openai:c7
- AI research evidence record anthropic:c3
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record deepseek:c5
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c5
- AI research evidence record kimi:insuranceandestates-oneamerica
- AI research evidence record grok:0
- AI research evidence record kimi:insuranceandestates-performance
- AI research evidence record deepseek:c4
- AI research evidence record anthropic:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c2
- AI research evidence record google:1.1.8
- AI research evidence record deepseek:c6
- AI research evidence record openai:c5
- AI research evidence record openai:c7
- AI research evidence record google:1.1.7
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
- 28
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #8
Behind the findings
Platforms in this study
- ChatGPT
- Claude
- DeepSeek
- Grok
- Perplexity
- Kimi
- Gemini
Source records
11 independent · 13 company-owned · 4 unclear
Evidence support
21 direct · 7 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.
c6786358c941eafeaa478292e9958c2de57f4fef714492360dca26c9bbe92195