Life Insurance
Consensus Index

AI Consensus Fit Review

Lincoln Financial Life Insurance Fit Review for Bipolar Disorder

Lincoln Financial is a mixed fit for life insurance with bipolar disorder.

Research: 2026-09-227 usable platform responsesRead the methodology ↗

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Answer Capsule

Lincoln Financial is a mixed fit for life insurance with bipolar disorder. Five of seven platforms named it during ranking discovery, and it finished fifth overall with an average listed rank of 4.0. The strongest reason to consider it is its two-product structure: Lincoln TermAccel Level Term for faster, mostly digital underwriting and Lincoln LifeElements Level Term for larger or more complex cases, plus a term-to-permanent conversion path [1]. The main limitation is transparency: Lincoln publishes no bipolar-specific underwriting guideline, and its own materials list bipolar disorder among conditions requiring labs and vitals, so approval, rating, and price cannot be predicted before a formal application [3].

Research Snapshot

FieldFinding
Platform mentions in ranking stage5 of 7 platforms (anthropic, deepseek, google, grok, kimi)
Share of included platform responses71.4%
Average listed rank4.0
Best listed rank3 (kimi)
Relevant product/model/planLincoln TermAccel Level Term; Lincoln LifeElements Level Term; permanent options referenced but unverified for this use case
Overall use-case fitMixed — platform fit ratings: good (anthropic, google), mixed (deepseek, grok, openai, perplexity), uncertain (kimi)
Research date2026-09-22

Why Lincoln Financial Qualified for This Study

Questions This Section Answers

  • Is Lincoln Financial a good choice for life insurance for bipolar disorder?
  • Why did Lincoln Financial qualify for this bipolar disorder life insurance study?

Lincoln Financial qualified because five of the seven included platforms named it during ranking discovery, giving it a 71.4% platform share and an average listed rank of 4.0. It was the only carrier in this study whose fit ratings split across all three verdict categories — two platforms rated it a good fit, four rated it mixed, and one rated it uncertain — which makes it a useful test case rather than a consensus pick.

Independent reviewers cited by the platforms describe Lincoln as one of the carriers that will consider stable bipolar cases, alongside Prudential, Pacific Life, John Hancock, and Banner Life [5]. One independent review credits Lincoln with competitive rates for mental health conditions and positions it as a top pick for people with pre-existing conditions [6]. Another ranks Lincoln as a top competitive option for bipolar disorder [7].

Those independent claims sit alongside Lincoln's own published materials, which are more cautious. Lincoln's underwriting guide lists bipolar disorder among conditions requiring labs and vitals in the referenced process [8], and a Lincoln pre-submission tool flags bipolar disorder, mania, recurrent major depression, or schizophrenia as severe conditions for a permanent-life workflow [11]. That gap between third-party optimism and company-published caution is the central finding of this review.

The Product, Model, Plan, or Service Most Relevant to Life Insurance for Bipolar Disorder

Questions This Section Answers

  • Which Lincoln Financial product should a buyer with bipolar disorder apply for first?
  • Does Lincoln TermAccel accept applicants with bipolar disorder, or is Lincoln LifeElements the better fit?
  • How much coverage can a buyer with bipolar disorder get through Lincoln TermAccel?

Lincoln TermAccel Level Term is the most directly relevant publicly documented option. It offers 10-, 15-, 20-, or 30-year level-premium periods, $100,000 to $2.5 million of face amount, electronic application processing, and possible lab-free consideration for qualifying applicants [14]. Independent reviews describe it as a no-medical-exam policy for qualifying applicants ages 18–60 with coverage from $100,000 to $2,500,000 [16].

Lincoln LifeElements Level Term is the second relevant product. Independent sources describe it as designed for high-risk applicants or those seeking larger policies, with more flexible underwriting than TermAccel [17]. Reported coverage starts at $250,000 with no stated maximum, available ages 18–80 [18]. One source says medical exams are not required for applicants up to age 60 applying for up to $2.5 million [19], while another says exams are often required for LifeElements — a conflict buyers should resolve with the carrier.

The critical caveat: Lincoln's own TermAccel underwriting guide states the product is designed for clients with less complex medical histories and warns that conditions not listed could still result in decline [20]. Platforms disagreed on whether bipolar disorder routes applicants away from TermAccel. Grok reported that bipolar disorder requires a medical exam for TermAccel [23], and Google reported that bipolar disorder disqualifies applicants from lab-free TermAccel processing [24]. OpenAI and Perplexity treated TermAccel as still worth testing for stable applicants [21]. This is unresolved in the public record.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree on about Lincoln Financial for bipolar disorder life insurance?
  • Does Lincoln Financial publish bipolar-specific underwriting criteria?

Four points drew broad agreement across the seven platform responses.

First, Lincoln does not publish a bipolar-specific underwriting guideline, table rating schedule, or approval statistic. OpenAI, DeepSeek, Anthropic, Grok, Perplexity, and Kimi each stated or implied this limitation [25]. No platform produced a Lincoln-published bipolar decision matrix.

Second, bipolar disorder triggers additional medical evidence in at least some Lincoln workflows. Lincoln's WealthAccelerate IUL underwriting guide lists bipolar disorder among conditions requiring labs and vitals [25], and Google reported that Lincoln's lab-free guidelines explicitly require labs or vitals for bipolar disorder, bypassing the lab-free fast track [33].

Third, outcomes are case-by-case and depend on stability, treatment, hospitalization history, and functioning. Industry guidance cited by DeepSeek identifies current stability, treatment adherence, medications, hospitalization history, employment and daily functioning, substance use, self-harm history, and consistency of care as underwriting factors for psychiatric conditions [34]. Independent research cited by Anthropic identifies five factors: diagnosis type, hospitalization history, suicide attempts or ideation, medication and treatment compliance, and employment status and functional stability [27].

Fourth, Lincoln's term products are convertible to qualifying permanent coverage, generally before the end of the level-premium period or attained age 70, whichever comes first [35]. Conversion rules, available products, riders, and state availability are contract- and product-dependent.

Where the AI Platforms Disagreed or Were Uncertain

Platforms split on three material questions, and buyers should treat all three as open.

Whether Lincoln is a good fit at all. Anthropic and Google rated Lincoln a good fit for well-managed bipolar disorder [37]. OpenAI, DeepSeek, Grok, and Perplexity rated it mixed [39]. Kimi rated it uncertain, stating that no independent evidence identifies Lincoln as having specialized bipolar underwriting, lenient mental health criteria, or guaranteed-issue products for this population [43]. That is a genuine split, not a rounding difference.

Whether TermAccel is available to bipolar applicants. Grok reported that bipolar disorder requires a medical exam for TermAccel [45]. Google reported that bipolar disorder disqualifies applicants from lab-free TermAccel processing [46]. OpenAI and Perplexity treated TermAccel as testable for stable applicants [47]. Lincoln's own guide says TermAccel is for less complex medical histories [49]. No platform produced a Lincoln statement resolving this.

Whether guaranteed-issue coverage exists. Anthropic cited a Lincoln guaranteed issue/simplified issue underwriting program through universal life products [50], with reported limits of $25,000 minimum for variable universal guaranteed issue and $50,000 minimum for simplified issue [51]. OpenAI, DeepSeek, and Kimi each stated that guaranteed-issue availability for this buyer is unverified or not visible in Lincoln's public individual portfolio [52]. Buyers should not assume a guaranteed-issue path exists.

Two additional conflicts are documented. Lincoln's public TermAccel page lists a $2.5 million maximum face amount, while an older producer underwriting document lists $1 million [54]. And Lincoln's public materials describe lab-free consideration for qualifying applicants while a Lincoln underwriting guide identifies bipolar disorder as requiring labs and vitals — the requirement may vary by product, age, amount, state, and underwriting pathway [39].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • What underwriting features does Lincoln Financial offer that matter for a bipolar disorder applicant?
  • Can a Lincoln Financial term policy be converted to permanent coverage if bipolar symptoms change?

The features most relevant to this use case are underwriting pathway, coverage capacity, conversion rights, and application mechanics.

Underwriting pathway. TermAccel uses automated underwriting and may query prescription, diagnosis, motor-vehicle, and MIB data; cases may receive a real-time offer, require labs or additional information, or be declined [58]. Lincoln states some programs have no APS requirement or no mandatory APS by age and face amount, but the company also says it may order labs or vitals when a client does not qualify for lab-free processing [60]. Independent sources report TermAccel approvals in 1–2 business days for qualified cases, with larger or high-risk cases taking 2–6 weeks through traditional underwriting [63].

Coverage capacity. TermAccel: $100,000–$2,500,000, ages 18–60 [65]. LifeElements: $250,000 and above, ages 18–80 [64]. TermAccel is not available in New York, and products, riders, and features may vary by state [66].

Conversion. TermAccel is convertible to qualifying Lincoln permanent life policies during the stated conversion period, generally before the end of the level-premium period or attained age 70, whichever comes first [68]. Independent sources confirm both term products are convertible before end of term or by age 70 [69]. Lincoln term-conversion guidelines state that qualifying conversions generally occur without new underwriting, subject to contractual and product limitations [68].

Riders. Reported available riders include Accelerated Death Benefit, Children's Level Term, and Waiver of Premium [64]. A one-time charge may apply if the accelerated benefits rider is exercised [66].

Application mechanics. Lincoln does not offer online quotes; the only way to get a quote is to contact a financial professional [70]. TermAccel is available only through electronic ticket submission with automated underwriting and eDelivery, not paper submissions [72].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Lincoln Financial cost per month for a bipolar disorder applicant, and what policy fees apply?
  • What happens to Lincoln Financial term premiums after the level-premium period ends?
  • Are there cancellation penalties or surrender charges on a Lincoln Financial term policy?

No platform produced a bipolar-specific premium quote, and Lincoln does not publish premium tables by health condition [73]. Pricing confidence across platforms was low to moderate.

Published policy fees. TermAccel policy fees are $80 for face amounts of $100,000–$249,999.99, $90 for $250,000–$999,999.99, and $70 for $1,000,000–$2,500,000 [75]. Google reported a standard annual administrative fee of roughly $60 to $100 built into the premium schedule [76].

Level-premium periods. TermAccel has 10-, 15-, 20-, and 30-year guaranteed level-premium periods [75]. After the level-premium period, premiums increase annually and the policy may include a face-amount decrease under the product terms [75]. One independent source describes premiums remaining level for three years after the level term expires, then increasing annually to age 95 [77].

Table ratings. Independent research indicates well-managed bipolar disorder typically adds 25–75% to standard premiums, with bipolar disorder premiums running 25% to 200% higher than standard rates depending on stability [78]. Table 2 adds roughly 50% to standard premiums; Table 4 doubles them [79]. Google reported that Lincoln typically offers Table 2–4 for stable Bipolar II and Table 4–8 for Bipolar I with at least two years of documented stability [76]. Grok reported Standard to Table 2–4 or higher for stable cases, with premiums 25–175% above standard [80]. Kimi reported industry patterns of Table 6–10 or decline for Bipolar I and Table 4–6 for well-managed Bipolar II, but stated Lincoln's specific practices are not publicly documented [82]. These ranges conflict and none is Lincoln-confirmed.

Competitiveness. Independent reviews note Lincoln costs more than Banner Life and Transamerica for general applicants [83].

Contract terms. Coverage can lapse if premiums are not paid or are insufficient to continue coverage [75]. The reviewed sources do not state a separate cancellation penalty for term coverage; buyers should confirm surrender, refund, and reinstatement terms in the policy contract [75]. One platform reported a 30-day free look period as standard industry practice but did not confirm it for Lincoln [77]. Medical exam fees may be required for LifeElements or high-risk cases, typically covered by the insurer, and APS requests may incur medical record retrieval fees charged by treating providers [77].

Best Suited For

Questions This Section Answers

  • Who is Lincoln Financial best suited for among buyers with bipolar disorder?
  • What stability history does a bipolar disorder applicant need for Lincoln Financial term coverage?

Lincoln is best suited to applicants with documented stability who can supply complete psychiatric records and who want fully underwritten term coverage rather than guaranteed acceptance.

Platforms converged on a similar profile. Anthropic described the best fit as well-managed Bipolar II with 2+ years of medication stability and no recent hospitalizations, or Bipolar I with 5+ years diagnosed, consistent treatment, and no psychiatric hospitalizations in the past 5 years [85]. Google described Bipolar II with 2+ years of documented treatment stability and Bipolar I with stable employment and no recent hospitalizations [86]. Grok described stable Bipolar II with 3+ years without hospitalizations, consistent treatment, and good employment and functioning [87]. OpenAI described applicants with stable treatment and functioning who can provide complete psychiatric, medication, hospitalization, and physician information [88].

Additional fit factors: applicants seeking higher face amounts of $500,000–$2.5 million or complex underwriting cases [89]; applicants who value a potential conversion path from term to qualifying Lincoln permanent coverage [90]; and applicants willing to work through a financial professional, since direct online quotes are not available [91].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Lincoln Financial for life insurance with bipolar disorder?
  • Is Lincoln Financial a bad choice if a bipolar disorder applicant needs guaranteed approval?

Lincoln is probably not the right choice for buyers who need guaranteed acceptance, who have recent instability, or who need permanent coverage with fixed premiums and guaranteed cash value.

Platforms identified these exclusions. Applicants needing guaranteed acceptance or coverage without medical underwriting [92]. Applicants with recent hospitalization, substantial instability, unresolved substance-use issues, recent self-harm history, inconsistent treatment, or limited ability to document stability [92]. Google reported that a history of multiple psychiatric hospitalizations or any recent hospitalization typically results in an immediate decline [96]. Applicants seeking the lowest possible premiums, since Lincoln costs more than some competitors [97]. Buyers needing whole life insurance, since Lincoln does not offer whole life [98]. Applicants who cannot work with a financial professional, since direct online quotes are not available [99]. Applicants in New York, since TermAccel and LifeElements are not available there [100]. And applicants seeking hybrid life/long-term-care coverage, since bipolar disorder is listed as a disqualifying condition for Lincoln MoneyGuard [101].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Lincoln Financial for a bipolar disorder applicant who needs guaranteed issue coverage?
  • When should a bipolar disorder buyer choose a different carrier instead of Lincoln Financial?

Another carrier may be better in five situations the platforms identified.

When a broker's informal inquiry indicates Lincoln will decline or heavily rate the applicant. Another carrier with more favorable psychiatric underwriting may be better [103]. Independent sources name Prudential as widely regarded as most bipolar-friendly in 2026, alongside Pacific Life, John Hancock, and Banner Life [104]. Grok reported Prudential or John Hancock as alternatives for Bipolar I or complex histories [105].

When the buyer needs guaranteed acceptance or minimal medical underwriting. A verified guaranteed-issue or simplified-issue product may be more appropriate, though usually with lower limits, higher cost, waiting periods, or other restrictions [103]. Reported guaranteed-issue limits of $25,000–$50,000 may be insufficient for some applicants' needs [107].

When the buyer needs the lowest available term premium. Banner Life and Transamerica were reported to offer lower rates than Lincoln [108].

When the buyer needs coverage in New York or outside TermAccel's issue-age and face-amount parameters. TermAccel is not available in New York, and LifeElements is also unavailable there [110].

When the buyer wants published mental-health underwriting guidance before applying. Another insurer may be better if the buyer wants explicit published bipolar underwriting criteria, since Lincoln does not publish them [111].

One structural alternative applies regardless of carrier: group life insurance through an employer skips individual underwriting for mental health conditions [113].

Questions to Verify Before Buying

These questions come directly from the platform research and should be answered before any formal application is submitted.

  1. Will Lincoln accept an informal or confidential preliminary underwriting inquiry for bipolar disorder before a formal application is submitted [114]?
  2. For the selected product, what documentation is required regarding diagnosis, current stability, medications, therapy, hospitalizations, emergency visits, self-harm history, substance use, employment, and daily functioning [114]?
  3. Would the applicant qualify for standard, rated, postponed, or declined status, and what specific facts would change that result [114]?
  4. Are labs, vitals, an examination, APS records, psychiatric records, or attending-physician statements required [114]?
  5. Is Lincoln TermAccel available in the buyer's state, and does the current product maximum apply to the requested amount [118]?
  6. What are the exact conversion deadline, eligible permanent products, conversion pricing basis, and rider limitations [121]?
  7. Are there any exclusions, contestability provisions, suicide exclusions, waiting periods, or reinstatement conditions in the proposed policy [114]?
  8. What is the guaranteed premium including policy fees and selected riders, and how does the premium change after the level term [118]?
  9. Does Lincoln currently offer any guaranteed-issue or simplified-issue individual policy that is actually available to this buyer [124]?
  10. Will applying to Lincoln affect the buyer's ability to apply elsewhere, and should a broker sequence informal inquiries before formal applications [114]?

Final AI Consensus Verdict

Mixed fit, with a genuine platform split. Five of seven platforms named Lincoln Financial during ranking discovery, and it finished fifth overall. Two platforms rated it a good fit, four rated it mixed, and one rated it uncertain.

The case for Lincoln rests on product structure and independent reputation. TermAccel offers meaningful term lengths, a broad published face-amount range, electronic processing, and a conversion path to qualifying permanent coverage [127]. Independent reviewers cited by the platforms describe Lincoln as one of the carriers willing to underwrite stable bipolar cases with favorable pricing relative to other carriers [129].

The case against rests on transparency and pathway uncertainty. Lincoln publishes no bipolar-specific underwriting guideline, table rating schedule, or approval statistic. Lincoln's own materials list bipolar disorder among conditions requiring labs and vitals [132], flag it as a severe condition in at least one permanent-life pre-submission workflow [135], and describe TermAccel as designed for less complex medical histories [137]. Platforms disagreed on whether bipolar disorder routes applicants away from TermAccel entirely.

The practical conclusion: Lincoln is worth testing for a consumer with sustained stability and complete, consistent medical documentation, but it should not be treated as a confirmed best carrier or a guaranteed-issue solution. Buyers should use an independent broker to obtain a confidential preliminary underwriting assessment and compare several carriers before submitting a formal application, because a misdirected application creates an MIB record that can affect future approval odds [132]. For broader context on how this carrier compares with others in this category, see the Life Insurance for Bipolar Disorder consensus index. Buyers comparing carriers across conditions can also review the wider life insurance directory.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms — OpenAI, Anthropic, Google, DeepSeek, Grok, Perplexity, and Kimi — each asked whether Lincoln Financial is worth considering for a U.S. consumer with bipolar disorder seeking life insurance. The authoritative research date is 2026-09-22. Platform mentions in the ranking stage count only platforms that named Lincoln Financial during ranking discovery; all seven platforms evaluated fit, but only five named the entity in ranking. Fit ratings were assigned by each platform independently and were not normalized. Citations are platform-reported evidence, not independently verified facts. No personal testing, customer experience, or independent verification was performed.

Methodology Limitations

  • Platform-reported research dates differ from the authoritative run date. DeepSeek reported 2026-06-01; the other six platforms reported 2026-09-22. Platform-reported dates are provenance metadata and do not independently prove freshness.
  • DeepSeek ran with search disabled, so its findings are model-reported rather than retrieved from live sources.
  • The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
  • No public bipolar-specific underwriting table, acceptance guideline, likely rating range, or approval statistic was verified for Lincoln.
  • Lincoln's public TermAccel page lists a $2.5 million maximum face amount while an older producer underwriting document lists $1 million; the applicable state and version were not resolved.
  • Lincoln's public materials describe lab-free consideration for qualifying applicants while a Lincoln underwriting guide identifies bipolar disorder as requiring labs and vitals; the actual requirement may vary by product, age, amount, state, and underwriting pathway.
  • Public sources do not verify current guaranteed-issue availability for Lincoln individual life insurance, and platforms disagreed on whether such a program exists.
  • Public sources do not reveal how recent hospitalization, self-harm history, medication changes, substance use, or duration of stability are weighted in a bipolar-specific decision.
  • No premium estimate or likely underwriting class for any particular applicant was established.
  • Table rating ranges reported by platforms conflict: Google reported Table 2–4 for stable Bipolar II and Table 4–8 for Bipolar I; Grok reported Standard to Table 2–4 or higher; Kimi reported Table 4–6 for well-managed Bipolar II and Table 6–10 or decline for Bipolar I. None is Lincoln-confirmed.
  • Platform agreement on a carrier's suitability does not prove product quality, approval likelihood, or pricing.

Sources

Company-Owned Sources

  • Lincoln Financial Individual Solutions: https://www.lincolnfinancial.com/public/individuals
  • Lincoln TermAccel® Level Term Process overview and client prequalification checklist: https://www.lincolnfinancial.com/public/microsite/pdf/GD-LI-Pre-Qual-TA.pdf
  • Life Insurance for People with Mental Health Conditions: https://www.westernsouthern.com/life-insurance/life-insurance-mental-health
  • Additional AI research evidence138 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:c15
    3. AI research evidence record openai:c3
    4. AI research evidence record google:1.1.1
    5. AI research evidence record anthropic:c2
    6. AI research evidence record anthropic:c10
    7. AI research evidence record google:1.1.5
    8. AI research evidence record openai:c3
    9. AI research evidence record grok:2
    10. AI research evidence record perplexity:15
    11. AI research evidence record perplexity:11
    12. AI research evidence record google:1.3.7
    13. AI research evidence record google:2.1.3
    14. AI research evidence record openai:c1
    15. AI research evidence record openai:c2
    16. AI research evidence record anthropic:c10
    17. AI research evidence record anthropic:c15
    18. AI research evidence record anthropic:c34
    19. AI research evidence record anthropic:c31
    20. AI research evidence record anthropic:c13
    21. AI research evidence record openai:c4
    22. AI research evidence record perplexity:2
    23. AI research evidence record grok:10
    24. AI research evidence record google:2.1.9
    25. AI research evidence record openai:c3
    26. AI research evidence record deepseek:c1
    27. AI research evidence record anthropic:c37
    28. AI research evidence record grok:0
    29. AI research evidence record perplexity:2
    30. AI research evidence record kimi:maple_valley_ins
    31. AI research evidence record grok:2
    32. AI research evidence record perplexity:15
    33. AI research evidence record google:2.1.9
    34. AI research evidence record deepseek:c3
    35. AI research evidence record openai:c6
    36. AI research evidence record anthropic:c26
    37. AI research evidence record anthropic:c2
    38. AI research evidence record google:1.1.4
    39. AI research evidence record openai:c3
    40. AI research evidence record deepseek:c1
    41. AI research evidence record grok:0
    42. AI research evidence record perplexity:11
    43. AI research evidence record kimi:maple_valley_ins
    44. AI research evidence record kimi:term_insurance_brokers
    45. AI research evidence record grok:10
    46. AI research evidence record google:2.1.9
    47. AI research evidence record openai:c4
    48. AI research evidence record perplexity:2
    49. AI research evidence record anthropic:c13
    50. AI research evidence record anthropic:c20
    51. AI research evidence record anthropic:c29
    52. AI research evidence record openai:c7
    53. AI research evidence record kimi:lincoln_financial_site
    54. AI research evidence record openai:c1
    55. AI research evidence record perplexity:4
    56. AI research evidence record perplexity:7
    57. AI research evidence record perplexity:5
    58. AI research evidence record openai:c4
    59. AI research evidence record perplexity:4
    60. AI research evidence record perplexity:1
    61. AI research evidence record perplexity:13
    62. AI research evidence record perplexity:14
    63. AI research evidence record anthropic:c15
    64. AI research evidence record anthropic:c34
    65. AI research evidence record anthropic:c10
    66. AI research evidence record openai:c1
    67. AI research evidence record openai:c2
    68. AI research evidence record openai:c6
    69. AI research evidence record anthropic:c26
    70. AI research evidence record anthropic:c29
    71. AI research evidence record anthropic:c36
    72. AI research evidence record perplexity:8
    73. AI research evidence record deepseek:c1
    74. AI research evidence record perplexity:2
    75. AI research evidence record openai:c1
    76. AI research evidence record google:1.1.4
    77. AI research evidence record anthropic:c34
    78. AI research evidence record anthropic:c3
    79. AI research evidence record anthropic:c1
    80. AI research evidence record grok:0
    81. AI research evidence record grok:3
    82. AI research evidence record kimi:term_insurance_brokers
    83. AI research evidence record anthropic:c19
    84. AI research evidence record anthropic:c30
    85. AI research evidence record anthropic:c2
    86. AI research evidence record google:1.1.4
    87. AI research evidence record grok:0
    88. AI research evidence record openai:c3
    89. AI research evidence record anthropic:c34
    90. AI research evidence record openai:c6
    91. AI research evidence record anthropic:c29
    92. AI research evidence record openai:c3
    93. AI research evidence record deepseek:c1
    94. AI research evidence record perplexity:11
    95. AI research evidence record anthropic:c37
    96. AI research evidence record google:1.1.4
    97. AI research evidence record anthropic:c19
    98. AI research evidence record anthropic:c2
    99. AI research evidence record anthropic:c29
    100. AI research evidence record openai:c1
    101. AI research evidence record google:1.3.7
    102. AI research evidence record google:2.1.3
    103. AI research evidence record openai:c3
    104. AI research evidence record anthropic:c2
    105. AI research evidence record grok:0
    106. AI research evidence record kimi:insurancy_com
    107. AI research evidence record anthropic:c29
    108. AI research evidence record anthropic:c19
    109. AI research evidence record anthropic:c30
    110. AI research evidence record openai:c1
    111. AI research evidence record perplexity:11
    112. AI research evidence record kimi:maple_valley_ins
    113. AI research evidence record kimi:western_southern
    114. AI research evidence record openai:c3
    115. AI research evidence record anthropic:c37
    116. AI research evidence record perplexity:1
    117. AI research evidence record perplexity:13
    118. AI research evidence record openai:c1
    119. AI research evidence record perplexity:4
    120. AI research evidence record perplexity:7
    121. AI research evidence record openai:c6
    122. AI research evidence record anthropic:c26
    123. AI research evidence record kimi:maple_valley_ins
    124. AI research evidence record openai:c7
    125. AI research evidence record anthropic:c20
    126. AI research evidence record kimi:lincoln_financial_site
    127. AI research evidence record openai:c1
    128. AI research evidence record openai:c6
    129. AI research evidence record anthropic:c2
    130. AI research evidence record anthropic:c10
    131. AI research evidence record google:1.1.5
    132. AI research evidence record openai:c3
    133. AI research evidence record grok:2
    134. AI research evidence record perplexity:15
    135. AI research evidence record perplexity:11
    136. AI research evidence record google:1.3.7
    137. AI research evidence record anthropic:c13
    138. AI research evidence record anthropic:c37

Independent Sources

  • How to Get Life Insurance for Bipolar Disorder: https://hinermangroup.com/bipolar-disorder-life-insurance/
  • Life Insurance with Bipolar Disorder — How to Get Approved (2026: https://mozdex.com/bipolar-life-insurance/
  • Your Essential Guide To Lincoln TermAccel: No Exam Life Insurance: https://nophysicaltermlife.com/lincoln/
  • Getting Life Insurance with Mental Health Conditions: What You Need to Know: https://pennypincher.com/articles/insurance/life/life-insurance-with-mental-health-conditions
  • Life Insurance With Bipolar Disorder: A 2026 Guide To Approval & Rates: https://rateschaser.com/life-insurance/reviews/lincoln-financial-life-insurance/
  • Life Insurance with Bipolar Disorder | Rates, Carriers & What to Expect: https://terminsurancebrokers.com/life-insurance-answers/high-risk-life-insurance/bipolar-disorder/
  • Life Insurance with Bipolar Disorder | Rates, Carriers & What to Expect: https://terminsurancebrokers.com/life-insurance-bipolar-disorder/
  • Life Insurance With Bipolar Disorder Approval Strategies: https://www.affordablelifeusa.com/life-insurance-with-bipolar-disorder/
  • Life Insurance With Bipolar Disorder: A 2026 Guide To Approval & Rates: https://www.lifeinsure.com/life-insurance-with-bipolar-disorder-a-2026-guide-to-approval-rates/
  • Life Insurance With Bipolar Disorder: Can You Get Approved?: https://www.maplevalleyins.com/life-insurance-with-bipolar-disorder/
  • Life Insurance With Bipolar Disorder: Coverage Options and Costs: https://www.moneygeek.com/insurance/life/life-insurance-bipolar-disorder/
  • Lincoln Financial Life Insurance Review 2026: https://www.moneygeek.com/insurance/life/reviews/lincoln-financial/
  • Life Insurance Underwriting and Mental Health: https://www.nami.org/
  • Lincoln Financial Life Insurance Review: Affordable Rates: https://www.policygenius.com/life-insurance/reviews/lincoln-financial/
  • Lincoln Financial Life Insurance: How Their Products & Underwriting Compare: https://www.riskquoter.com/company-reviews/lincoln-financial-group/
  • Lincoln Financial Group Life Insurance Review for 2026: https://www.usnews.com/insurance/life-insurance/lincoln-financial
  • Additional AI research evidence138 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:c15
    3. AI research evidence record openai:c3
    4. AI research evidence record google:1.1.1
    5. AI research evidence record anthropic:c2
    6. AI research evidence record anthropic:c10
    7. AI research evidence record google:1.1.5
    8. AI research evidence record openai:c3
    9. AI research evidence record grok:2
    10. AI research evidence record perplexity:15
    11. AI research evidence record perplexity:11
    12. AI research evidence record google:1.3.7
    13. AI research evidence record google:2.1.3
    14. AI research evidence record openai:c1
    15. AI research evidence record openai:c2
    16. AI research evidence record anthropic:c10
    17. AI research evidence record anthropic:c15
    18. AI research evidence record anthropic:c34
    19. AI research evidence record anthropic:c31
    20. AI research evidence record anthropic:c13
    21. AI research evidence record openai:c4
    22. AI research evidence record perplexity:2
    23. AI research evidence record grok:10
    24. AI research evidence record google:2.1.9
    25. AI research evidence record openai:c3
    26. AI research evidence record deepseek:c1
    27. AI research evidence record anthropic:c37
    28. AI research evidence record grok:0
    29. AI research evidence record perplexity:2
    30. AI research evidence record kimi:maple_valley_ins
    31. AI research evidence record grok:2
    32. AI research evidence record perplexity:15
    33. AI research evidence record google:2.1.9
    34. AI research evidence record deepseek:c3
    35. AI research evidence record openai:c6
    36. AI research evidence record anthropic:c26
    37. AI research evidence record anthropic:c2
    38. AI research evidence record google:1.1.4
    39. AI research evidence record openai:c3
    40. AI research evidence record deepseek:c1
    41. AI research evidence record grok:0
    42. AI research evidence record perplexity:11
    43. AI research evidence record kimi:maple_valley_ins
    44. AI research evidence record kimi:term_insurance_brokers
    45. AI research evidence record grok:10
    46. AI research evidence record google:2.1.9
    47. AI research evidence record openai:c4
    48. AI research evidence record perplexity:2
    49. AI research evidence record anthropic:c13
    50. AI research evidence record anthropic:c20
    51. AI research evidence record anthropic:c29
    52. AI research evidence record openai:c7
    53. AI research evidence record kimi:lincoln_financial_site
    54. AI research evidence record openai:c1
    55. AI research evidence record perplexity:4
    56. AI research evidence record perplexity:7
    57. AI research evidence record perplexity:5
    58. AI research evidence record openai:c4
    59. AI research evidence record perplexity:4
    60. AI research evidence record perplexity:1
    61. AI research evidence record perplexity:13
    62. AI research evidence record perplexity:14
    63. AI research evidence record anthropic:c15
    64. AI research evidence record anthropic:c34
    65. AI research evidence record anthropic:c10
    66. AI research evidence record openai:c1
    67. AI research evidence record openai:c2
    68. AI research evidence record openai:c6
    69. AI research evidence record anthropic:c26
    70. AI research evidence record anthropic:c29
    71. AI research evidence record anthropic:c36
    72. AI research evidence record perplexity:8
    73. AI research evidence record deepseek:c1
    74. AI research evidence record perplexity:2
    75. AI research evidence record openai:c1
    76. AI research evidence record google:1.1.4
    77. AI research evidence record anthropic:c34
    78. AI research evidence record anthropic:c3
    79. AI research evidence record anthropic:c1
    80. AI research evidence record grok:0
    81. AI research evidence record grok:3
    82. AI research evidence record kimi:term_insurance_brokers
    83. AI research evidence record anthropic:c19
    84. AI research evidence record anthropic:c30
    85. AI research evidence record anthropic:c2
    86. AI research evidence record google:1.1.4
    87. AI research evidence record grok:0
    88. AI research evidence record openai:c3
    89. AI research evidence record anthropic:c34
    90. AI research evidence record openai:c6
    91. AI research evidence record anthropic:c29
    92. AI research evidence record openai:c3
    93. AI research evidence record deepseek:c1
    94. AI research evidence record perplexity:11
    95. AI research evidence record anthropic:c37
    96. AI research evidence record google:1.1.4
    97. AI research evidence record anthropic:c19
    98. AI research evidence record anthropic:c2
    99. AI research evidence record anthropic:c29
    100. AI research evidence record openai:c1
    101. AI research evidence record google:1.3.7
    102. AI research evidence record google:2.1.3
    103. AI research evidence record openai:c3
    104. AI research evidence record anthropic:c2
    105. AI research evidence record grok:0
    106. AI research evidence record kimi:insurancy_com
    107. AI research evidence record anthropic:c29
    108. AI research evidence record anthropic:c19
    109. AI research evidence record anthropic:c30
    110. AI research evidence record openai:c1
    111. AI research evidence record perplexity:11
    112. AI research evidence record kimi:maple_valley_ins
    113. AI research evidence record kimi:western_southern
    114. AI research evidence record openai:c3
    115. AI research evidence record anthropic:c37
    116. AI research evidence record perplexity:1
    117. AI research evidence record perplexity:13
    118. AI research evidence record openai:c1
    119. AI research evidence record perplexity:4
    120. AI research evidence record perplexity:7
    121. AI research evidence record openai:c6
    122. AI research evidence record anthropic:c26
    123. AI research evidence record kimi:maple_valley_ins
    124. AI research evidence record openai:c7
    125. AI research evidence record anthropic:c20
    126. AI research evidence record kimi:lincoln_financial_site
    127. AI research evidence record openai:c1
    128. AI research evidence record openai:c6
    129. AI research evidence record anthropic:c2
    130. AI research evidence record anthropic:c10
    131. AI research evidence record google:1.1.5
    132. AI research evidence record openai:c3
    133. AI research evidence record grok:2
    134. AI research evidence record perplexity:15
    135. AI research evidence record perplexity:11
    136. AI research evidence record google:1.3.7
    137. AI research evidence record anthropic:c13
    138. AI research evidence record anthropic:c37

Other Sources

  • For agent or broker use only. Not for use with the public: https://www.gbslife.com/media/28975/lincoln_lincxpress_final.pdf
  • Additional AI research evidence138 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:c15
    3. AI research evidence record openai:c3
    4. AI research evidence record google:1.1.1
    5. AI research evidence record anthropic:c2
    6. AI research evidence record anthropic:c10
    7. AI research evidence record google:1.1.5
    8. AI research evidence record openai:c3
    9. AI research evidence record grok:2
    10. AI research evidence record perplexity:15
    11. AI research evidence record perplexity:11
    12. AI research evidence record google:1.3.7
    13. AI research evidence record google:2.1.3
    14. AI research evidence record openai:c1
    15. AI research evidence record openai:c2
    16. AI research evidence record anthropic:c10
    17. AI research evidence record anthropic:c15
    18. AI research evidence record anthropic:c34
    19. AI research evidence record anthropic:c31
    20. AI research evidence record anthropic:c13
    21. AI research evidence record openai:c4
    22. AI research evidence record perplexity:2
    23. AI research evidence record grok:10
    24. AI research evidence record google:2.1.9
    25. AI research evidence record openai:c3
    26. AI research evidence record deepseek:c1
    27. AI research evidence record anthropic:c37
    28. AI research evidence record grok:0
    29. AI research evidence record perplexity:2
    30. AI research evidence record kimi:maple_valley_ins
    31. AI research evidence record grok:2
    32. AI research evidence record perplexity:15
    33. AI research evidence record google:2.1.9
    34. AI research evidence record deepseek:c3
    35. AI research evidence record openai:c6
    36. AI research evidence record anthropic:c26
    37. AI research evidence record anthropic:c2
    38. AI research evidence record google:1.1.4
    39. AI research evidence record openai:c3
    40. AI research evidence record deepseek:c1
    41. AI research evidence record grok:0
    42. AI research evidence record perplexity:11
    43. AI research evidence record kimi:maple_valley_ins
    44. AI research evidence record kimi:term_insurance_brokers
    45. AI research evidence record grok:10
    46. AI research evidence record google:2.1.9
    47. AI research evidence record openai:c4
    48. AI research evidence record perplexity:2
    49. AI research evidence record anthropic:c13
    50. AI research evidence record anthropic:c20
    51. AI research evidence record anthropic:c29
    52. AI research evidence record openai:c7
    53. AI research evidence record kimi:lincoln_financial_site
    54. AI research evidence record openai:c1
    55. AI research evidence record perplexity:4
    56. AI research evidence record perplexity:7
    57. AI research evidence record perplexity:5
    58. AI research evidence record openai:c4
    59. AI research evidence record perplexity:4
    60. AI research evidence record perplexity:1
    61. AI research evidence record perplexity:13
    62. AI research evidence record perplexity:14
    63. AI research evidence record anthropic:c15
    64. AI research evidence record anthropic:c34
    65. AI research evidence record anthropic:c10
    66. AI research evidence record openai:c1
    67. AI research evidence record openai:c2
    68. AI research evidence record openai:c6
    69. AI research evidence record anthropic:c26
    70. AI research evidence record anthropic:c29
    71. AI research evidence record anthropic:c36
    72. AI research evidence record perplexity:8
    73. AI research evidence record deepseek:c1
    74. AI research evidence record perplexity:2
    75. AI research evidence record openai:c1
    76. AI research evidence record google:1.1.4
    77. AI research evidence record anthropic:c34
    78. AI research evidence record anthropic:c3
    79. AI research evidence record anthropic:c1
    80. AI research evidence record grok:0
    81. AI research evidence record grok:3
    82. AI research evidence record kimi:term_insurance_brokers
    83. AI research evidence record anthropic:c19
    84. AI research evidence record anthropic:c30
    85. AI research evidence record anthropic:c2
    86. AI research evidence record google:1.1.4
    87. AI research evidence record grok:0
    88. AI research evidence record openai:c3
    89. AI research evidence record anthropic:c34
    90. AI research evidence record openai:c6
    91. AI research evidence record anthropic:c29
    92. AI research evidence record openai:c3
    93. AI research evidence record deepseek:c1
    94. AI research evidence record perplexity:11
    95. AI research evidence record anthropic:c37
    96. AI research evidence record google:1.1.4
    97. AI research evidence record anthropic:c19
    98. AI research evidence record anthropic:c2
    99. AI research evidence record anthropic:c29
    100. AI research evidence record openai:c1
    101. AI research evidence record google:1.3.7
    102. AI research evidence record google:2.1.3
    103. AI research evidence record openai:c3
    104. AI research evidence record anthropic:c2
    105. AI research evidence record grok:0
    106. AI research evidence record kimi:insurancy_com
    107. AI research evidence record anthropic:c29
    108. AI research evidence record anthropic:c19
    109. AI research evidence record anthropic:c30
    110. AI research evidence record openai:c1
    111. AI research evidence record perplexity:11
    112. AI research evidence record kimi:maple_valley_ins
    113. AI research evidence record kimi:western_southern
    114. AI research evidence record openai:c3
    115. AI research evidence record anthropic:c37
    116. AI research evidence record perplexity:1
    117. AI research evidence record perplexity:13
    118. AI research evidence record openai:c1
    119. AI research evidence record perplexity:4
    120. AI research evidence record perplexity:7
    121. AI research evidence record openai:c6
    122. AI research evidence record anthropic:c26
    123. AI research evidence record kimi:maple_valley_ins
    124. AI research evidence record openai:c7
    125. AI research evidence record anthropic:c20
    126. AI research evidence record kimi:lincoln_financial_site
    127. AI research evidence record openai:c1
    128. AI research evidence record openai:c6
    129. AI research evidence record anthropic:c2
    130. AI research evidence record anthropic:c10
    131. AI research evidence record google:1.1.5
    132. AI research evidence record openai:c3
    133. AI research evidence record grok:2
    134. AI research evidence record perplexity:15
    135. AI research evidence record perplexity:11
    136. AI research evidence record google:1.3.7
    137. AI research evidence record anthropic:c13
    138. AI research evidence record anthropic:c37

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
41
Ranking mentions
5 of 7
Platform share
71%
Final consensus rank
#5

Behind the findings

Platforms in this study

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

Source records

21 independent · 18 company-owned · 2 unclear

Evidence support

31 direct · 9 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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