Answer Capsule
Pacific Life is a good, but not clearly best, fit for a consumer with obesity who wants term life insurance and is willing to undergo individualized underwriting. Six of the seven platforms in this study named Pacific Life during the ranking stage, and all six rated it a "good" fit; one platform rated it "mixed." The strongest reason to consider it is its Pacific Accelerated Life+ (PAL+) underwriting structure, which can route applicants to accelerated, modified, or traditional review, plus a term conversion feature that requires no new underwriting. The main limitation is that Pacific Life does not publicly disclose an obesity-specific build chart, BMI cutoff, or premium table, so no platform could confirm a specific rate or approval outcome for a high-BMI applicant.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 6 of 7 platforms (anthropic, deepseek, google, grok, kimi, perplexity) |
| Share of included platform responses | 85.7% |
| Average listed rank | 5.5 |
| Best listed rank | 3 (google) |
| Relevant product/model/plan | PL Promise Term level-premium term life insurance, using Pacific Accelerated Life+ underwriting; Pacific Elite Term may also apply depending on state and eligibility |
| Overall use-case fit | Good (6 platforms); Mixed (1 platform) — 7 platforms analyzed |
| Research date | 2026-09-22 |
Why Pacific Life Qualified for This Study
Questions This Section Answers
- Is Pacific Life a good choice for life insurance for obesity?
- Why did AI platforms include Pacific Life in a ranking of life insurance for obesity?
Pacific Life qualified because multiple independent review sources explicitly rank it among carriers worth considering for overweight or obese applicants, and because its underwriting structure is designed to route applicants through more than one review path rather than a single exam-based process.
MoneyGeek's overweight-focused review lists Pacific Life among top-rated insurers for overweight people, alongside Protective, Legal & General, Lincoln Financial, and Ethos [1]. Independent broker sources describe Pacific Life as favorable for applicants who have been declined or rated elsewhere, and as competitive for high-risk applicants [5].
Pacific Life's own materials describe a "progressive approach to underwriting" and a "holistic view of the proposed insured's overall health, wellness, and risk factors" [7]. That framing matters for this use case because obesity underwriting is rarely decided by BMI alone; blood pressure, cholesterol, diabetes control, sleep apnea, and mobility commonly enter the same review.
The company also holds strong financial-strength ratings cited across independent reviews, including A+ from A.M. Best, AA- from S&P and Fitch, and A1 from Moody's, with an NAIC complaint index reported at 0.05 [9]. Those ratings speak to the durability of the death-benefit promise, not to whether Pacific Life will approve any particular high-BMI applicant.
The Product, Model, Plan, or Service Most Relevant to Life Insurance for Obesity
Questions This Section Answers
- Which Pacific Life plan should a buyer with a high BMI choose for term life insurance?
- Does Pacific Life's PL Promise Term offer no-exam coverage for applicants with obesity?
PL Promise Term is the product every platform in this study tied to this use case. It is level-premium term life insurance with 10-, 15-, 20-, 25-, or 30-year premium periods, a $50,000 minimum death benefit, and a conversion option [11]. Pacific Elite Term is a second Pacific Life term option with 10-, 20-, and 30-year level-premium periods and a $250,000 minimum face amount [11].
The underwriting engine behind PL Promise Term is Pacific Accelerated Life+ (PAL+), which routes applications through accelerated, modified, or traditional underwriting [16]. Pacific Life states that modified underwriting can cover applicants in all risk classes, while accelerated underwriting is limited to standard or better risk classes [16]. That distinction is the core of the obesity fit question: a higher BMI may push an applicant out of the accelerated lane without making coverage unavailable.
Accelerated underwriting may require no medical exam and no attending-physician statement, but eligibility is limited by age, coverage amount, product, risk class, and health-history answers [16]. The modified pathway requires evidence of a physical examination and laboratory work completed within the prior 12 months [16]. Applicants who do not qualify for either pathway may move to traditional underwriting.
Platforms reported different coverage ceilings and age bands for the no-exam path. Several sources describe accelerated underwriting up to $3 million for ages 18–60 [17], while others describe eligibility for ages 18–80 [22] or ages 18–70 [23]. Perplexity flagged this conflict directly, noting public summaries cite ranges such as 18–60, 18–70, or 18–80 depending on product and review date [24]. Buyers should treat the exact age band as unverified until confirmed with a licensed agent.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree on about Pacific Life for life insurance for obesity?
- Is Pacific Life's underwriting process more flexible than a single-exam carrier for high-BMI applicants?
Six of the seven platforms rated Pacific Life a good fit for this use case (anthropic, deepseek, google, grok, kimi, openai). Agreement clustered around four points.
First, Pacific Life's multi-path underwriting is a genuine structural advantage for applicants whose BMI or related conditions block a no-exam approval but do not make coverage unavailable [26].
Second, the term conversion feature preserves future insurability. PL Promise Term permits conversion of all or part of the death benefit to an available Pacific Life universal-life policy during the level-premium period, and the conversion materials state that no new underwriting is needed and the converted policy retains the equivalent risk class [30]. Forbes and other reviews describe conversion availability until age 70 [32].
Third, Pacific Life is described as favorable for applicants who have been declined or table-rated elsewhere [33]. This is a broker-reported positioning, not a company guarantee.
Fourth, a required paramedical examination is stated to have no cost to the applicant [35]. That does not establish that physician statements, additional testing, or policy charges are free.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- What is Pacific Life's exact BMI cutoff for standard versus table-rated life insurance?
- Does Pacific Life's no-exam underwriting apply to applicants over age 60 with a high BMI?
The platforms disagreed on BMI thresholds, age bands, and how much credit Pacific Life gives for well-controlled comorbidities. None of these conflicts were resolved by the supplied evidence.
On BMI thresholds, Google's platform reported that PL Promise underwriting allows Preferred class access at BMI ≤33 for ages under 65 and BMI ≤35 for ages 65+, and that applicants with BMI over 35 are excluded from the prequalifying checklist for accelerated underwriting [36]. Anthropic reported the same BMI ≤33 / ≤35 thresholds from a broker-hosted underwriting guide [38]. DeepSeek reported a different picture: BMI up to roughly 35–37 at standard rates without comorbidities, with Table 2–6 ratings available up to about BMI 43 [39]. Kimi cited industry sources identifying Prudential, not Pacific Life, as having the most lenient build chart [41].
On age bands, the conflict is unresolved. Anthropic's own response contains both "ages 18-60" and "ages 18-80" statements [42]. Perplexity explicitly labeled the age range as conflicting across public sources [45].
On comorbidity credit, Google reported specific "sweet spots" including treated or untreated total cholesterol of 150–300 qualifying for preferred classes, and mild sleep apnea (AHI/RDI 10–30) qualifying for Preferred rates, with CPAP-compliant applicants receiving favorable rates regardless of height-to-weight ratio [37]. No other platform confirmed those specific thresholds.
OpenAI's platform stated plainly that the reviewed Pacific Life materials do not publish a consumer-facing BMI table or specific underwriting rules for obesity, blood pressure, diabetes, cholesterol, mobility limitations, or sleep apnea [48]. Perplexity reached the same conclusion [50]. The likely underwriting outcome for a particular BMI and comorbidity profile is therefore unclear without an informal or formal underwriting review.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- What features does Pacific Life's PL Promise Term offer a buyer with obesity and related conditions like sleep apnea or high blood pressure?
- How does Pacific Life's term conversion option work for a high-BMI applicant?
The features most relevant to a high-BMI buyer are the multi-path underwriting structure, the term conversion right, the coverage and term-length range, and the rider set.
Underwriting pathways. PAL+ can route an application through accelerated, modified, or traditional underwriting [52]. Modified underwriting is described as available for all risk classes; accelerated underwriting is limited to standard or better [52]. Modified review requires a physical exam and labs completed within the prior 12 months [52].
Conversion. PL Promise Term permits conversion of all or part of the death benefit to an available Pacific Life universal-life policy during the level-premium period, subject to product rules, with no new underwriting and retention of the equivalent risk class [55]. Conversion is subject to the policy's conversion period, available products, state approval, and policy terms [55].
Coverage and terms. PL Promise Term offers $50,000 to $3 million in death benefit, 10/15/20/25/30-year level premium periods, and monthly, quarterly, semiannual, or annual payment modes [57]. Pacific Elite Term offers 10-, 20-, and 30-year level-premium periods with a $250,000 minimum face amount [60].
Riders. Available riders include an Accelerated Death Benefit Rider, Children's Level Term Insurance Rider, and Waiver of Premium Rider [57]. Rider charges apply, and specific incremental premiums are not publicly disclosed [57].
Permanent alternative. PL Promise GUL provides no-lapse-guarantee universal life with guarantees ranging from age 90 to age 121 depending on policy structure [61]. It is a different, generally more expensive coverage type and should not be treated as a no-exam obesity solution merely because some applicants may qualify for no-exam processing [62].
What Pacific Life does not offer. Pacific Life does not offer traditional whole life insurance; its permanent lineup is universal life, indexed universal life, and variable universal life [63]. It also does not offer guaranteed-issue coverage, and it does not offer direct-to-consumer online application; coverage requires a licensed agent or financial advisor [65].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Pacific Life's PL Promise Term cost per month for a high-BMI applicant?
- What fees and modal charges apply to a Pacific Life term policy?
No platform located an individualized premium or a public obesity-specific rate table for Pacific Life. Pricing confidence was rated low by OpenAI, Grok, and Perplexity, and moderate by Anthropic, DeepSeek, and Kimi.
The only published figures are for healthy or overweight nonsmokers, not for table-rated obesity cases. Pacific Life's own article cites sample annual premiums of $153 (age 25 male) and $325 (age 45 male) for a 20-year, $250,000 PL Promise Term policy [67]. Forbes cites an average of $128/year for a 20-year, $250,000 policy for a healthy 30-year-old female [68]. U.S. News cites a 10-year term policy for a 35-year-old female starting at $47.43/month [69]. MoneyGeek reports Pacific Life term rates 4–20% below the national average [70].
For overweight nonsmokers specifically, DeepSeek and Kimi both cite a 20-year, $500,000 no-exam term policy averaging $57/month for women and $75/month for men [71]. Kimi also cites a $48/month base rate for a $1M, 20-year no-exam term policy, while noting it is unclear whether overweight applicants qualify at that rate [72].
On fees, Google's platform reported a $60 annual policy fee for PL Promise Term and modal factors of 0.51 semiannual, 0.26 quarterly, and 0.085 monthly, with monthly payment requiring electronic funds transfer [73]. No other platform confirmed those figures. Pacific Life states that a required paramedical exam has no cost to the applicant [74]. Anthropic reported that attending-physician statement fees are reimbursed up to $150 for non-preferred vendors [75].
Contract terms to verify include the free-look period, lapse and reinstatement rules, renewal pricing after the level period, and surrender or cancellation consequences, all of which should be confirmed in the state-specific policy contract [76]. Product availability and terms vary by state, and Pacific Life instructs users to select a state to view available products [77].
Best Suited For
Questions This Section Answers
- Who is Pacific Life's PL Promise Term best suited for among buyers with a high BMI?
- Is Pacific Life worth considering for a high-BMI applicant who has been declined elsewhere?
Pacific Life is best suited for a high-BMI applicant who wants level-premium term coverage, can supply medical records or recent lab work if asked, and values a future conversion right that does not require new underwriting.
Platforms converged on several buyer profiles. Applicants seeking level-premium term coverage with 10-, 15-, 20-, 25-, or 30-year options [78]. Applicants who may qualify for accelerated or modified underwriting but can provide medical records, recent physical results, and laboratory evidence if required [80]. Applicants who value a future conversion option without new underwriting [81]. Applicants with stable or improving health markers despite higher BMI, given Pacific Life's stated holistic risk assessment [83]. Applicants declined or rated elsewhere who want a second underwriting look [85]. Applicants with mild or moderate sleep apnea who are CPAP-compliant, per Google's platform [87].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Pacific Life for life insurance for obesity?
- Is Pacific Life a poor fit for a buyer who needs guaranteed-issue coverage?
Pacific Life is probably not the best fit for applicants seeking guaranteed acceptance or coverage without health underwriting, applicants whose main priority is the most favorable obesity underwriting outcome across the entire market, and applicants who need a publicly posted price before submitting personal health and build information [89].
Additional exclusions reported across platforms: applicants who want the absolute lowest premiums at smaller face amounts of $250,000 to $1 million, where Banner Life is described as typically lower [92]. Consumers preferring direct-to-consumer online application and instant quotes without agent involvement [90]. Applicants over age 60 seeking no-exam coverage, since Pacific Life's accelerated underwriting is reported to end at age 60 [94]. Applicants seeking whole life insurance, which Pacific Life does not offer [96]. Severely obese applicants with multiple comorbidities such as uncontrolled diabetes, cardiac history, or sleep apnea, who may face traditional underwriting or stricter limits [92].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Pacific Life for a high-BMI buyer who needs the most lenient build chart?
- When should a buyer with obesity choose a guaranteed-issue policy instead of Pacific Life?
Another option may be better in five situations the platforms identified.
When the buyer's priority is the best possible BMI and comorbidity classification, an independent broker or multi-carrier underwriting comparison is the better path [99]. When the buyer needs a carrier with a publicly available or broker-accessible build chart more favorable to their exact height, weight, and comorbidity profile, Kimi's platform cites Prudential as having the most lenient build chart in the industry, often offering Standard Plus at BMI 32 [100]. When the buyer needs guaranteed-issue or simplified-issue coverage because fully underwritten term is unavailable or unaffordable, carriers such as AIG, Gerber, or Mutual of Omaha are cited for guaranteed issue at ages 45–85 with $25,000–$50,000 caps [100]. When the buyer is over 60 and wants no-exam coverage, Legal & General (Banner) or Prudential are cited as having accelerated underwriting for older ages [101]. When the buyer needs permanent whole life coverage, Pacific Life does not offer it, and competitors such as Protective do [102].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Pacific Life before signing a PL Promise Term contract?
- How can a high-BMI applicant verify their likely underwriting class before applying?
The platforms supplied overlapping verification lists. Consolidated, the buyer should confirm:
- For the buyer's state, whether PL Promise Term or Pacific Elite Term is available and which exact policy form applies [104].
- At the buyer's height, weight, BMI, and waist-related information if requested, what underwriting class is realistically expected [104].
- How blood pressure, diabetes or A1C history, cholesterol, sleep apnea, mobility, medications, and recent test results affect eligibility and rate class [104].
- Whether the buyer qualifies for accelerated no-exam underwriting, modified underwriting, or traditional underwriting, and what exact records or tests will be required [104].
- If a paramedical exam is required, which measurements and laboratory tests will be collected, and whether all required tests are free to the applicant [108].
- Premiums by underwriting class, payment mode, term length, and coverage amount, including any policy fees or rider charges [109].
- The exact conversion deadline, which permanent products are available for conversion in the buyer's state, and how conversion affects premiums and benefits [111].
- What happens if weight or a related health condition changes after issue [104].
- The free-look, lapse, renewal, cancellation, and post-level-term premium provisions in the state-specific contract [109].
- Whether an independent broker has compared Pacific Life's tentative offer with at least several other insurers that underwrite obesity and related conditions [104].
Final AI Consensus Verdict
Pacific Life is a good, but not clearly best, fit for a consumer with obesity who wants term life insurance and is willing to undergo individualized underwriting. Six of seven platforms rated it good; one rated it mixed. The strongest evidence-backed reasons to consider it are the PAL+ multi-path underwriting structure, which can route applicants to accelerated, modified, or traditional review, and the PL Promise Term conversion feature, which preserves access to permanent coverage without new underwriting. The strongest limitation is transparency: Pacific Life does not publicly disclose an obesity-specific build chart, BMI cutoff, or premium table, and the platforms disagreed on BMI thresholds, age bands for no-exam eligibility, and how much credit well-controlled comorbidities receive. A multi-carrier underwriting comparison is advisable before purchase.
How This Review Was Produced
This review was produced from seven AI platform responses to a single prompt asking which life insurance carriers are generally worth considering for applicants with obesity or significantly elevated BMI, and why. The research date is 2026-09-22. Six of the seven platforms named Pacific Life during the ranking stage; all seven evaluated its fit for this use case. Platform responses were compared for agreement, disagreement, and uncertainty. All factual claims are cited to the platform-reported source that supported them. No independent verification, personal testing, or customer experience was performed. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
Methodology Limitations
Several limitations apply. 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 Pacific Life during ranking discovery. Conflicting product names, pricing, and capabilities were not resolved by guessing; conflicts are described and buyers are directed to verify. Citations are platform-reported evidence, not independently verified facts. Claims from platforms without search capability require explicit verification before being described as current facts. Pacific Life's public product pages describe PL Promise Term availability and features differently by state, and the buyer's state-specific materials control. The reviewed PAL+ underwriting guide is marked for financial-professional use, so consumer-facing eligibility details and operational practices should be confirmed with a licensed agent. No current Pacific Life obesity-specific build chart, diabetes guideline, sleep-apnea guideline, or public premium table was located. The buyer's final classification, exclusions, premium, and approval decision cannot be inferred from BMI alone.
See the broader Life Insurance for Obesity consensus index for comparisons across qualified options.
Sources
Company-Owned Sources
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- Pacific Life Insurance Company Application Materials: https://life.pacificlife.com/content/dam/paclife-lid/public/plexpress/products/pl-promise-term/TMC4073-BM.pdf
- Pacific Life Insurance Company PL Promise Series of Life Insurance Products: https://lovettfinancial.net/wp-content/uploads/pacific-life-promise-term-underwriting-guide.pdf
- PACIFIC LIFE UNDERWRITING GUIDE: https://pinneyinsurance.com/underwriting-docs/PacLife-Underwriting-Guide.pdf
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- Universal Life Insurance: https://www.pacificlife.com/home/individuals/life-insurance/universal-life-insurance.html
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Additional AI research evidence112 records
- AI research evidence record anthropic:source_1
- AI research evidence record deepseek:c1
- AI research evidence record grok:5
- AI research evidence record kimi:mg1
- AI research evidence record anthropic:source_22
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:source_3
- AI research evidence record anthropic:source_15
- AI research evidence record anthropic:source_12
- AI research evidence record anthropic:source_17
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:source_38
- AI research evidence record grok:11
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_20
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:source_21
- AI research evidence record deepseek:c1
- AI research evidence record kimi:mg1
- AI research evidence record anthropic:source_12
- AI research evidence record anthropic:source_11
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_20
- 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:source_42
- AI research evidence record anthropic:source_22
- AI research evidence record perplexity:c9
- AI research evidence record openai:c4
- AI research evidence record google:1.1.8
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source_8
- AI research evidence record deepseek:c2
- AI research evidence record grok:1
- AI research evidence record kimi:lig1
- AI research evidence record anthropic:source_12
- AI research evidence record anthropic:source_20
- AI research evidence record anthropic:source_21
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record google:1.4.8
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c5
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_20
- AI research evidence record google:1.3.1
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:source_38
- AI research evidence record anthropic:source_42
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:source_18
- AI research evidence record anthropic:source_40
- AI research evidence record anthropic:source_10
- AI research evidence record anthropic:source_19
- AI research evidence record anthropic:source_37
- AI research evidence record anthropic:source_42
- AI research evidence record anthropic:source_40
- AI research evidence record anthropic:source_12
- AI research evidence record deepseek:c1
- AI research evidence record kimi:mg1
- AI research evidence record google:1.3.6
- AI research evidence record openai:c4
- AI research evidence record anthropic:source_22
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:source_3
- AI research evidence record anthropic:source_15
- AI research evidence record anthropic:source_22
- AI research evidence record perplexity:c9
- AI research evidence record google:1.2.8
- AI research evidence record google:1.4.8
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_10
- AI research evidence record anthropic:source_19
- AI research evidence record anthropic:source_22
- AI research evidence record kimi:lig1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:mg1
- AI research evidence record anthropic:source_18
- AI research evidence record anthropic:source_40
- AI research evidence record kimi:moz1
- AI research evidence record openai:c3
- AI research evidence record kimi:lig1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:source_18
- AI research evidence record anthropic:source_40
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_8
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source_20
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record google:1.3.6
- AI research evidence record openai:c5
- AI research evidence record openai:c6
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- How Your Weight and Weight Loss Affect Life Insurance Cost: https://www.wsj.com/buyside/personal-finance/life-insurance/weight-loss-affect-on-life-insurance
Additional AI research evidence112 records
- AI research evidence record anthropic:source_1
- AI research evidence record deepseek:c1
- AI research evidence record grok:5
- AI research evidence record kimi:mg1
- AI research evidence record anthropic:source_22
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:source_3
- AI research evidence record anthropic:source_15
- AI research evidence record anthropic:source_12
- AI research evidence record anthropic:source_17
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:source_38
- AI research evidence record grok:11
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_20
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:source_21
- AI research evidence record deepseek:c1
- AI research evidence record kimi:mg1
- AI research evidence record anthropic:source_12
- AI research evidence record anthropic:source_11
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_20
- 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:source_42
- AI research evidence record anthropic:source_22
- AI research evidence record perplexity:c9
- AI research evidence record openai:c4
- AI research evidence record google:1.1.8
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source_8
- AI research evidence record deepseek:c2
- AI research evidence record grok:1
- AI research evidence record kimi:lig1
- AI research evidence record anthropic:source_12
- AI research evidence record anthropic:source_20
- AI research evidence record anthropic:source_21
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record google:1.4.8
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c5
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_20
- AI research evidence record google:1.3.1
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:source_38
- AI research evidence record anthropic:source_42
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:source_18
- AI research evidence record anthropic:source_40
- AI research evidence record anthropic:source_10
- AI research evidence record anthropic:source_19
- AI research evidence record anthropic:source_37
- AI research evidence record anthropic:source_42
- AI research evidence record anthropic:source_40
- AI research evidence record anthropic:source_12
- AI research evidence record deepseek:c1
- AI research evidence record kimi:mg1
- AI research evidence record google:1.3.6
- AI research evidence record openai:c4
- AI research evidence record anthropic:source_22
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:source_3
- AI research evidence record anthropic:source_15
- AI research evidence record anthropic:source_22
- AI research evidence record perplexity:c9
- AI research evidence record google:1.2.8
- AI research evidence record google:1.4.8
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_10
- AI research evidence record anthropic:source_19
- AI research evidence record anthropic:source_22
- AI research evidence record kimi:lig1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:mg1
- AI research evidence record anthropic:source_18
- AI research evidence record anthropic:source_40
- AI research evidence record kimi:moz1
- AI research evidence record openai:c3
- AI research evidence record kimi:lig1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:source_18
- AI research evidence record anthropic:source_40
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_8
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source_20
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record google:1.3.6
- AI research evidence record openai:c5
- AI research evidence record openai:c6
Other Sources
- UNDERWRITING GUIDELINES: https://ibatx.com/wp-content/uploads/2024/02/Pacific-Life-UW-Feb-2024.pdf
Additional AI research evidence112 records
- AI research evidence record anthropic:source_1
- AI research evidence record deepseek:c1
- AI research evidence record grok:5
- AI research evidence record kimi:mg1
- AI research evidence record anthropic:source_22
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:source_3
- AI research evidence record anthropic:source_15
- AI research evidence record anthropic:source_12
- AI research evidence record anthropic:source_17
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:source_38
- AI research evidence record grok:11
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_20
- AI research evidence record google:1.3.1
- AI research evidence record anthropic:source_21
- AI research evidence record deepseek:c1
- AI research evidence record kimi:mg1
- AI research evidence record anthropic:source_12
- AI research evidence record anthropic:source_11
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_20
- 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:source_42
- AI research evidence record anthropic:source_22
- AI research evidence record perplexity:c9
- AI research evidence record openai:c4
- AI research evidence record google:1.1.8
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source_8
- AI research evidence record deepseek:c2
- AI research evidence record grok:1
- AI research evidence record kimi:lig1
- AI research evidence record anthropic:source_12
- AI research evidence record anthropic:source_20
- AI research evidence record anthropic:source_21
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c9
- AI research evidence record google:1.4.8
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c5
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_20
- AI research evidence record google:1.3.1
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:source_38
- AI research evidence record anthropic:source_42
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:source_18
- AI research evidence record anthropic:source_40
- AI research evidence record anthropic:source_10
- AI research evidence record anthropic:source_19
- AI research evidence record anthropic:source_37
- AI research evidence record anthropic:source_42
- AI research evidence record anthropic:source_40
- AI research evidence record anthropic:source_12
- AI research evidence record deepseek:c1
- AI research evidence record kimi:mg1
- AI research evidence record google:1.3.6
- AI research evidence record openai:c4
- AI research evidence record anthropic:source_22
- AI research evidence record openai:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record anthropic:source_3
- AI research evidence record anthropic:source_15
- AI research evidence record anthropic:source_22
- AI research evidence record perplexity:c9
- AI research evidence record google:1.2.8
- AI research evidence record google:1.4.8
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_10
- AI research evidence record anthropic:source_19
- AI research evidence record anthropic:source_22
- AI research evidence record kimi:lig1
- AI research evidence record deepseek:c1
- AI research evidence record kimi:mg1
- AI research evidence record anthropic:source_18
- AI research evidence record anthropic:source_40
- AI research evidence record kimi:moz1
- AI research evidence record openai:c3
- AI research evidence record kimi:lig1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:source_18
- AI research evidence record anthropic:source_40
- AI research evidence record openai:c3
- AI research evidence record anthropic:source_8
- AI research evidence record google:1.2.8
- AI research evidence record anthropic:source_20
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record google:1.3.6
- AI research evidence record openai:c5
- AI research evidence record openai:c6
Verify this research
Check when the research was run, which platforms were included, and what supports the findings.
- Study date
- September 22, 2026
- Platforms analyzed
- 7
- Source records
- 43
- Ranking mentions
- 6 of 7
- Platform share
- 86%
- Final consensus rank
- #4
Behind the findings
Platforms in this study
- ChatGPT
- Claude
- DeepSeek
- Grok
- Perplexity
- Kimi
- Gemini
Source records
26 independent · 16 company-owned · 1 unclear
Evidence support
35 direct · 8 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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