Life Insurance
Consensus Index

AI Consensus Fit Review

American Amicable Graded-Benefit Final Expense Insurance Fit Review

American Amicable is a good fit for Graded-Benefit Final Expense Insurance, with material conditions.

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

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Answer Capsule

American Amicable is a good fit for Graded-Benefit Final Expense Insurance, with material conditions. Four of the seven platforms in this study named American Amicable during the ranking stage — Google, Grok, OpenAI, and Perplexity — giving it a 57% share of included platform responses and an average listed rank of 4.25. The strongest reason to consider it is the Golden Solution Graded Death Benefit Plan (Policy Form 9465), which pairs a clearly published 30%/70%/100% early-year payout schedule with level premiums and permanent whole-life coverage. The main limitation is that the graded plan is underwritten rather than guaranteed issue, carries a stated face-amount cap, and is not available in every state.

Research Snapshot

FieldFinding
Platform mentions in ranking stage4 of 7 platforms (Google, Grok, OpenAI, Perplexity)
Share of included platform responses57.1%
Average listed rank4.25
Best listed rank3 (Google, Grok)
Relevant product/model/planGolden Solution Final Expense Whole Life — Graded Death Benefit Plan, Policy Form 9465; also marketed as Senior Choice Graded Death Benefit
Overall use-case fitGood, with material conditions (five platforms rated good; one mixed; one uncertain)
Research date2026-09-22

Why American Amicable Qualified for This Study

Questions This Section Answers

  • Is American Amicable a good choice for Graded-Benefit Final Expense Insurance?
  • Why did AI platforms rank American Amicable for graded-benefit final expense coverage?

American Amicable qualified because it markets a product built specifically for the buyer in this study: an applicant who may fail immediate-benefit underwriting but can still qualify for a graded policy. The Golden Solution Final Expense Whole Life brochure identifies the graded death benefit plan as a whole-life final-expense policy with a graded payout structure [1]. A current agent-distributed application summary indicates that applicants answering yes to specified recent conditions — including stroke, angina, heart attack, aneurysm, heart or circulation procedures, certain cancers, COPD or other listed diseases, paralysis, seizures, Parkinson's disease, or muscular dystrophy — may be directed to the graded plan [2].

Four platforms named the carrier during ranking discovery: Google (rank 3), Grok (rank 3), OpenAI (rank 4), and Perplexity (rank 7). Three platforms — Anthropic, DeepSeek, and Kimi — evaluated fit without naming American Amicable in the ranking stage, so their fit findings are included but do not count toward the mention total.

Carrier-strength evidence supports inclusion. AM Best's disclosure record lists American-Amicable life insurance Company of Texas with an A (Excellent) financial-strength rating, stable outlook, and an effective date of September 18, 2025 [3]. Independent reviews also cite an A (Excellent) rating with stable outlook [4] and a 115+ year operating history [7]. One older source cites an A- rating, which conflicts with the more recent A references [7].

The Product, Model, Plan, or Service Most Relevant to Graded-Benefit Final Expense Insurance

Questions This Section Answers

  • Which American Amicable plan should a buyer choose for graded-benefit final expense coverage?
  • Does American Amicable's Golden Solution graded plan pay a partial benefit in the first two years?
  • Is American Amicable's graded plan the same as Senior Choice Graded Death Benefit?

The relevant product is the Golden Solution Final Expense Whole Life — Graded Death Benefit Plan, Policy Form 9465. Several platforms also reference a Senior Choice Graded Death Benefit product with an identical graded structure, and the relationship between the two names is not fully resolved in the supplied evidence [8].

The graded payout schedule is the most consistently documented feature across platforms. The plan pays 30% of the selected face amount in policy year one, 70% in year two, and 100% in year three and thereafter [11]. Accidental death is stated as payable at 100% in all years, subject to policy terms and outstanding loans [11].

The policy is whole life, meaning coverage is designed to continue after the graded period as long as premiums are paid [18]. The company brochure states that premiums do not increase and that the policy cannot be canceled as long as premiums are paid [11]. Independent reviews describe premiums as fixed and locked in for life [20] and coverage as never decreasing while premiums are paid [21].

Underwriting is simplified issue rather than guaranteed issue. One platform describes an eight-question application in which the graded tier applies to applicants answering no to questions 1–7 but yes to question 8, with yes answers to questions 1, 2, or 3 making the applicant ineligible [22]. No medical exam is required [24].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree on about American Amicable's graded-benefit final expense plan?
  • Is American Amicable's 30%/70%/100% graded schedule confirmed across multiple sources?

Agreement was strongest on the graded payout schedule. Six platforms — OpenAI, Anthropic, Grok, Perplexity, Google, and DeepSeek (by product description) — describe a 30%/70%/100% structure over the first three policy years [26]. Accidental death paying 100% in all years was confirmed by OpenAI, Anthropic, Grok, Perplexity, and Google [26].

Platforms also agreed on premium predictability and permanence. Multiple independent reviews describe level premiums that never increase and permanent whole-life coverage [35]. The company brochure states the policy cannot be canceled as long as premiums are paid [26].

Simplified-issue underwriting without a medical exam was a third area of agreement [40]. Approval timelines were reported as 1–3 business days by most sources [44], with one source citing 24–48 hours [46].

Carrier financial strength drew broad agreement. AM Best's disclosure record lists an A (Excellent) rating with stable outlook [47], and independent reviews repeat the A (Excellent) rating [48].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • What are the biggest uncertainties about American Amicable's graded-benefit final expense plan?
  • Do AI platforms disagree about American Amicable's graded face-amount limit?

The maximum graded face amount is the clearest conflict. The current company brochure states a maximum graded-plan face amount of $15,000 [52]. Grok reports a graded maximum of $25,000 across ages 50–85 [53]. Perplexity reports broker materials indicating a graded cap around $20,000 [55]. Google reports a Senior Choice graded cap of $35,000 for ages 50–75 and $20,000 for ages 76–85 [56]. Anthropic reports $50,000 for ages 50–75 and $25,000 for ages 76–85 [57], while another Anthropic-cited source states a $35,000 maximum [59]. These figures cannot be reconciled from the supplied evidence, and the issued-state illustration and policy form should control.

Graded period length is also inconsistent. Most sources describe a three-year phase-in tied to Policy Form 9465 [52], but one source describes "first two to three years" [62], and Kimi notes the specific waiting period for this carrier could not be verified from accessible public sources [63].

Pricing transparency is a shared limitation. OpenAI, Perplexity, DeepSeek, and Kimi all report that no applicant-specific premium could be verified from public materials [52]. Grok reports a $30 annual policy fee and sample rates of roughly $27–$32 per month for $10,000 at sample ages [53], and Google also cites a $30 annual policy fee [66]. Anthropic reports an estimate of $30–$38 per month for age 50, $10,000 graded coverage, tobacco use [67].

Competitive positioning drew mixed signals. One 2023 agent review states there is "limited competitive reason to write the graded or ROP products" because other carriers provide immediate coverage for many graded conditions [68]. This is single-source opinion from an earlier year and may not reflect the current market.

Kimi rated the fit uncertain, stating that American Amicable's specific product terms, pricing, underwriting, and consumer outcomes could not be independently verified from accessible public sources [63]. DeepSeek rated the fit mixed for similar reasons [64]. These are platform-reported assessments, not independently verified findings.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • What features does American Amicable's graded-benefit final expense plan include for applicants with health conditions?
  • Does American Amicable's graded plan include living benefits like a terminal illness rider?

The plan's core use-case feature is its graded payout structure, which allows applicants with certain health conditions to obtain permanent coverage with a defined early-year benefit reduction rather than a decline [72]. The 30%/70%/100% schedule is disclosed in company materials and repeated across independent reviews [72].

Underwriting segmentation is the second key capability. Agent-distributed materials indicate that applicants answering yes to specified recent conditions may be routed to the graded plan rather than declined [78]. Independent reviews describe flexibility with conditions such as controlled diabetes, hypertension, and past heart issues [81]. This is evidence of intended underwriting segmentation, not a guarantee of approval.

Living benefits are included. The company brochure identifies a terminal-illness accelerated benefit rider with no premium cost but an administrative charge and actuarial adjustment upon acceleration [72]. Independent sources describe Terminal Illness and Nursing Home Confinement riders included at no cost [83], and Google cites Terminal Illness and Confined Care riders included at no additional premium where available [86]. Rider availability may vary by state and plan.

A return-of-premium alternative exists. Golden Solution ROP returns premiums paid plus 10% interest if death occurs within the graded period [88]. This is an alternative structure for applicants who do not qualify for the graded tier.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does American Amicable's graded-benefit final expense plan cost per month, and are there setup or cancellation fees?
  • What fees apply to American Amicable's Golden Solution graded plan beyond the base premium?

No applicant-specific premium can be verified from the supplied public materials. OpenAI, Perplexity, DeepSeek, and Kimi all report that exact premiums were not available from the sources they checked [90]. Premiums depend on age, sex, tobacco status, face amount, payment mode, state, and underwriting outcome [90].

Available cost signals are platform-reported and inconsistent. Grok reports a $30 annual policy fee and sample rates of roughly $27–$32 per month for $10,000 at sample ages [94]. Google also cites a $30 annual policy fee [96]. Anthropic reports an estimate of $30–$38 per month for age 50, $10,000 graded coverage, tobacco use, from a 2025 source [97]. These figures are not verified rate tables and should not be treated as quotes.

On fees, OpenAI reports that no separate policy fee, application fee, or cancellation charge was verified in the cited public product materials, and that rider charges, modal-payment charges, reinstatement costs, or state-specific fees are unclear [90]. Perplexity reports no policy fee, application fee, or rider fee verified in its checked sources [91]. Grok and Google both report a $30 annual policy fee [94]. This is a direct conflict that should be resolved with the carrier.

Contract terms are partially documented. The brochure states the policy cannot be canceled as long as premiums are paid [90]. The policy remains subject to grace-period, lapse, surrender, loan, free-look, and nonforfeiture provisions that were not verified from the full contract [90]. Grok reports a free-look period typically 10–30 days per state [94]. Perplexity reports no exact surrender, free-look, or cancellation terms verified in its checked sources [91]. Kimi reports surrender charges, free-look terms, and cancellation provisions are not publicly documented [93].

Ongoing costs include required premiums to keep coverage active, additional premium for optional accidental-death coverage, and an administrative charge plus actuarial adjustment if the terminal-illness rider is used [90]. Outstanding policy loans reduce death benefits [90].

Best Suited For

Questions This Section Answers

  • Who is American Amicable's graded-benefit final expense plan best suited for?
  • Is American Amicable a good fit for a 50-to-85-year-old with manageable health conditions?

American Amicable is best suited for applicants ages 50 through 85 seeking simplified-issue graded final expense coverage who may not qualify for immediate-benefit underwriting [98]. The plan directly addresses specified health impairments and provides a defined path to permanent coverage [101].

It fits buyers who prioritize level premiums and permanent coverage after the graded period [98]. It also fits applicants with certain recent cardiovascular, cancer, pulmonary, liver, or neurologic conditions who are not eligible for the immediate-benefit plan but may fit the graded plan [101].

Buyers who value carrier history and financial-strength evidence may find the A (Excellent) AM Best rating and 115+ year operating history relevant [105]. Buyers who want no medical exam and simplified health-question underwriting also fit the product's design [108].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose American Amicable for graded-benefit final expense insurance?
  • Is American Amicable a poor choice for an applicant who can qualify for level-benefit coverage?

American Amicable is probably not best suited for applicants who can qualify for a competitively priced level-benefit policy [110]. One agent review states other carriers provide immediate coverage for many graded conditions, suggesting the graded tier may not be optimal for every applicant [112].

It is also not best suited for buyers needing more coverage than the graded plan's stated face-amount limit, though that limit is disputed across sources [110]. Buyers seeking the lowest possible premiums may find rates described as moderate to mid-range rather than lowest-cost [117]. Male smoker tobacco rates are reported as higher than some competitors [118].

Applicants whose conditions fall outside the company's graded-plan underwriting rules, or who live in a state where the plan is unavailable, are not suited to this product [110]. Buyers needing very rapid approval should note that 1–3 business days is standard, not immediate [121].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to American Amicable for a buyer who needs a shorter graded period?
  • When should a buyer choose a different carrier instead of American Amicable's graded plan?

Another option may be better when the buyer can qualify for level-benefit coverage at a sustainable premium after reviewing the same medical history [123]. Another carrier may also be better when the buyer needs more than the graded plan's face-amount limit, though that limit is disputed [123].

A competing graded policy may be better when it provides a higher early-year benefit, lower guaranteed premium, broader state availability, or more favorable riders [123]. Grok notes a shorter two-year graded benefit from another carrier may be preferable [125]. Kimi identifies Transamerica FE Express Solution Graded as offering a clear two-year graded period with published sample rates and an AM Best A rating, and Guarantee Trust Life Heritage as offering six yes/no questions, ages 40–90, with published rates [127]. These are platform-reported comparisons, not independently verified findings.

A true guaranteed-acceptance whole-life policy may be better for applicants with severe, active health issues that disqualify them from simplified underwriting [129]. Buyers in states where American Amicable products are restricted — including MT, NH, and NY, with graded products unavailable in MA, MN, and NC per one policy disclosure — should consider other carriers [130].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with American Amicable before signing a graded-benefit final expense contract?
  • Which American Amicable policy form and state availability details should a buyer verify before applying?

Buyers should confirm the following before purchasing, based on the verification questions raised across platforms [133]:

  • Is Policy Form 9465 currently approved and available in the buyer's state, and does the 30%/70%/100% schedule apply there exactly?
  • What exact percentage is payable for natural death in policy years one and two, and are there additional exclusions, contestability rules, or suicide provisions?
  • What is the guaranteed premium by payment mode, and can it ever increase because of a rider, missed payment, policy loan, or reinstatement?
  • What are the minimum and maximum face amounts for this state and issue age?
  • Does the buyer's exact diagnosis, treatment date, medications, hospitalization history, or pending testing qualify for the graded plan?
  • Would the same application qualify for a level-benefit plan with American Amicable or another carrier?
  • Is there a $30 annual policy fee, and what modal-payment, reinstatement, or rider charges apply?
  • What cash value, surrender value, loan interest rate, grace period, and nonforfeiture options apply?
  • What administrative charges and actuarial reductions apply if the terminal-illness rider is used?
  • Which legal insurance company will issue the policy, and does its financial-strength rating apply to that specific issuing entity?

Final AI Consensus Verdict

American Amicable is a good fit for graded-benefit final expense insurance, with material conditions. Five of the seven platforms rated the fit good (OpenAI, Anthropic, Google, Grok, Perplexity), one rated it mixed (DeepSeek), and one rated it uncertain (Kimi). The Golden Solution Graded Death Benefit Plan directly addresses the buyer's need for a carrier that accepts some health conditions blocking immediate-benefit eligibility, and its 30%/70%/100% schedule, level-premium structure, and permanent coverage align well with the stated use case [138].

The buyer should not purchase without a state-specific illustration and confirmation of the exact contract terms. The graded plan is underwritten rather than guaranteed issue, the face-amount limit is disputed across sources, pricing is not publicly posted, and state availability varies [138]. It should be considered alongside competing graded plans and any available level-benefit offer.

How This Review Was Produced

This review was produced from platform-reported research responses collected for the topic "Best Graded-Benefit Final Expense Insurance." Seven platforms evaluated fit: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google. Four of those platforms — Google, Grok, OpenAI, and Perplexity — named American Amicable during the ranking stage, which is the basis for the platform-mention count and share figures in this report.

Each platform's response included a fit rating, use-case findings, limitations, pricing and terms, and verification questions. Those inputs were synthesized into the sections above. Where platforms disagreed, the conflict is described rather than resolved. Where a platform supplied no citation for a factual claim, the claim is labeled platform-reported or unverified.

The consensus index for this category is available at Graded-Benefit Final Expense Insurance, which lists the carriers evaluated for this use case.

This report is part of a broader life insurance research directory.

Methodology Limitations

Several limitations apply to this review. Platform-reported research dates differ from the authoritative run date of 2026-09-22: DeepSeek reported 2026-06-01, while the other six platforms reported 2026-09-23. These dates are provenance metadata and do not independently prove freshness.

The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. DeepSeek's response was produced with search disabled, so its claims require explicit verification before being described as current facts.

Platform fit ratings are model opinions, not independently verified assessments of product quality. Agreement among platforms does not prove that a product is competitively priced or that an individual claim will be paid. Missing research was not interpreted as disagreement.

Material conflicts remain unresolved in the supplied evidence, including the graded plan's maximum face amount, the exact graded period length, whether a $30 annual policy fee applies, and the relationship between the Golden Solution and Senior Choice product names. Buyers should resolve these conflicts with the carrier and the issued policy form.

Sources

Company-Owned Sources

  • Golden Solution Whole Life Insurance Peace of mind for you and your loved ones!: https://theinsgroup.net/images/stories/American_Amicable/GS_ConsumerGuide.pdf
  • Golden Solution Final Expense Whole Life Insurance: https://www.americanamicable.com/internet/webforms/common/9756.pdf
  • American Amicable – Final Expense / Golden Solution product information: https://www.americanamicable.com/v4/index.php
  • Graded Benefit Whole Life: Guaranteed Final Expense Coverage: https://www.betterlifeins.com/life-insurance/final-expense/graded-benefit-whole-life/
  • Additional AI research evidence143 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record openai:c3
    4. AI research evidence record anthropic:28-1
    5. AI research evidence record anthropic:28-4
    6. AI research evidence record anthropic:34-1
    7. AI research evidence record anthropic:17-8
    8. AI research evidence record perplexity:c1
    9. AI research evidence record google:1.2.7
    10. AI research evidence record anthropic:10-6
    11. AI research evidence record openai:c1
    12. AI research evidence record anthropic:6-4
    13. AI research evidence record anthropic:6-17
    14. AI research evidence record grok:1
    15. AI research evidence record perplexity:c2
    16. AI research evidence record google:2.2.3
    17. AI research evidence record anthropic:10-7
    18. AI research evidence record anthropic:4-3
    19. AI research evidence record anthropic:38-7
    20. AI research evidence record anthropic:17-16
    21. AI research evidence record anthropic:17-17
    22. AI research evidence record grok:0
    23. AI research evidence record google:1.2.2
    24. AI research evidence record anthropic:3-6
    25. AI research evidence record anthropic:5-6
    26. AI research evidence record openai:c1
    27. AI research evidence record anthropic:6-4
    28. AI research evidence record anthropic:6-17
    29. AI research evidence record grok:1
    30. AI research evidence record perplexity:c2
    31. AI research evidence record google:2.2.3
    32. AI research evidence record anthropic:10-7
    33. AI research evidence record perplexity:c1
    34. AI research evidence record google:1.2.7
    35. AI research evidence record anthropic:3-5
    36. AI research evidence record anthropic:17-16
    37. AI research evidence record anthropic:38-7
    38. AI research evidence record google:1.2.1
    39. AI research evidence record google:3.2.9
    40. AI research evidence record anthropic:3-6
    41. AI research evidence record anthropic:5-6
    42. AI research evidence record grok:0
    43. AI research evidence record google:1.2.2
    44. AI research evidence record anthropic:5-5
    45. AI research evidence record anthropic:40-7
    46. AI research evidence record anthropic:44-5
    47. AI research evidence record openai:c3
    48. AI research evidence record anthropic:28-1
    49. AI research evidence record anthropic:28-4
    50. AI research evidence record anthropic:34-1
    51. AI research evidence record anthropic:34-2
    52. AI research evidence record openai:c1
    53. AI research evidence record grok:0
    54. AI research evidence record grok:14
    55. AI research evidence record perplexity:c3
    56. AI research evidence record google:3.2.2
    57. AI research evidence record anthropic:19-2
    58. AI research evidence record anthropic:38-1
    59. AI research evidence record anthropic:17-1
    60. AI research evidence record anthropic:10-6
    61. AI research evidence record grok:1
    62. AI research evidence record anthropic:4-3
    63. AI research evidence record kimi:americanamicable-site
    64. AI research evidence record deepseek:c1
    65. AI research evidence record grok:10
    66. AI research evidence record google:1.1.3
    67. AI research evidence record anthropic:2-2
    68. AI research evidence record anthropic:23-1
    69. AI research evidence record anthropic:23-3
    70. AI research evidence record anthropic:23-4
    71. AI research evidence record anthropic:42-2
    72. AI research evidence record openai:c1
    73. AI research evidence record anthropic:6-4
    74. AI research evidence record grok:1
    75. AI research evidence record anthropic:6-17
    76. AI research evidence record perplexity:c2
    77. AI research evidence record google:2.2.3
    78. AI research evidence record openai:c2
    79. AI research evidence record grok:0
    80. AI research evidence record google:1.2.2
    81. AI research evidence record anthropic:5-2
    82. AI research evidence record anthropic:5-3
    83. AI research evidence record anthropic:2-8
    84. AI research evidence record anthropic:3-5
    85. AI research evidence record anthropic:28-6
    86. AI research evidence record google:2.1.2
    87. AI research evidence record google:3.2.3
    88. AI research evidence record anthropic:10-9
    89. AI research evidence record anthropic:44-11
    90. AI research evidence record openai:c1
    91. AI research evidence record perplexity:c3
    92. AI research evidence record deepseek:c1
    93. AI research evidence record kimi:americanamicable-site
    94. AI research evidence record grok:0
    95. AI research evidence record grok:10
    96. AI research evidence record google:1.1.3
    97. AI research evidence record anthropic:2-2
    98. AI research evidence record openai:c1
    99. AI research evidence record anthropic:3-3
    100. AI research evidence record grok:0
    101. AI research evidence record openai:c2
    102. AI research evidence record anthropic:3-5
    103. AI research evidence record anthropic:38-7
    104. AI research evidence record anthropic:5-3
    105. AI research evidence record openai:c3
    106. AI research evidence record anthropic:17-8
    107. AI research evidence record anthropic:28-1
    108. AI research evidence record anthropic:3-6
    109. AI research evidence record anthropic:5-6
    110. AI research evidence record openai:c1
    111. AI research evidence record anthropic:23-3
    112. AI research evidence record anthropic:23-1
    113. AI research evidence record anthropic:23-4
    114. AI research evidence record grok:0
    115. AI research evidence record perplexity:c3
    116. AI research evidence record google:3.2.2
    117. AI research evidence record anthropic:2-2
    118. AI research evidence record anthropic:17-1
    119. AI research evidence record anthropic:19-11
    120. AI research evidence record anthropic:15-1
    121. AI research evidence record anthropic:5-5
    122. AI research evidence record anthropic:40-7
    123. AI research evidence record openai:c1
    124. AI research evidence record anthropic:23-3
    125. AI research evidence record grok:0
    126. AI research evidence record perplexity:c3
    127. AI research evidence record kimi:consumeradviser-transamerica
    128. AI research evidence record kimi:asurgo-gtl
    129. AI research evidence record google:1.1.3
    130. AI research evidence record anthropic:19-11
    131. AI research evidence record anthropic:15-1
    132. AI research evidence record anthropic:30-13
    133. AI research evidence record openai:c1
    134. AI research evidence record anthropic:2-2
    135. AI research evidence record grok:0
    136. AI research evidence record perplexity:c3
    137. AI research evidence record kimi:americanamicable-site
    138. AI research evidence record openai:c1
    139. AI research evidence record anthropic:6-4
    140. AI research evidence record grok:1
    141. AI research evidence record grok:0
    142. AI research evidence record perplexity:c3
    143. AI research evidence record anthropic:19-11

Independent Sources

Other Sources

  • American Amicable Life Insurance - Company Review: https://www.lifeinsure.com/american-amicable-life-insurance/
  • Additional AI research evidence143 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record openai:c3
    4. AI research evidence record anthropic:28-1
    5. AI research evidence record anthropic:28-4
    6. AI research evidence record anthropic:34-1
    7. AI research evidence record anthropic:17-8
    8. AI research evidence record perplexity:c1
    9. AI research evidence record google:1.2.7
    10. AI research evidence record anthropic:10-6
    11. AI research evidence record openai:c1
    12. AI research evidence record anthropic:6-4
    13. AI research evidence record anthropic:6-17
    14. AI research evidence record grok:1
    15. AI research evidence record perplexity:c2
    16. AI research evidence record google:2.2.3
    17. AI research evidence record anthropic:10-7
    18. AI research evidence record anthropic:4-3
    19. AI research evidence record anthropic:38-7
    20. AI research evidence record anthropic:17-16
    21. AI research evidence record anthropic:17-17
    22. AI research evidence record grok:0
    23. AI research evidence record google:1.2.2
    24. AI research evidence record anthropic:3-6
    25. AI research evidence record anthropic:5-6
    26. AI research evidence record openai:c1
    27. AI research evidence record anthropic:6-4
    28. AI research evidence record anthropic:6-17
    29. AI research evidence record grok:1
    30. AI research evidence record perplexity:c2
    31. AI research evidence record google:2.2.3
    32. AI research evidence record anthropic:10-7
    33. AI research evidence record perplexity:c1
    34. AI research evidence record google:1.2.7
    35. AI research evidence record anthropic:3-5
    36. AI research evidence record anthropic:17-16
    37. AI research evidence record anthropic:38-7
    38. AI research evidence record google:1.2.1
    39. AI research evidence record google:3.2.9
    40. AI research evidence record anthropic:3-6
    41. AI research evidence record anthropic:5-6
    42. AI research evidence record grok:0
    43. AI research evidence record google:1.2.2
    44. AI research evidence record anthropic:5-5
    45. AI research evidence record anthropic:40-7
    46. AI research evidence record anthropic:44-5
    47. AI research evidence record openai:c3
    48. AI research evidence record anthropic:28-1
    49. AI research evidence record anthropic:28-4
    50. AI research evidence record anthropic:34-1
    51. AI research evidence record anthropic:34-2
    52. AI research evidence record openai:c1
    53. AI research evidence record grok:0
    54. AI research evidence record grok:14
    55. AI research evidence record perplexity:c3
    56. AI research evidence record google:3.2.2
    57. AI research evidence record anthropic:19-2
    58. AI research evidence record anthropic:38-1
    59. AI research evidence record anthropic:17-1
    60. AI research evidence record anthropic:10-6
    61. AI research evidence record grok:1
    62. AI research evidence record anthropic:4-3
    63. AI research evidence record kimi:americanamicable-site
    64. AI research evidence record deepseek:c1
    65. AI research evidence record grok:10
    66. AI research evidence record google:1.1.3
    67. AI research evidence record anthropic:2-2
    68. AI research evidence record anthropic:23-1
    69. AI research evidence record anthropic:23-3
    70. AI research evidence record anthropic:23-4
    71. AI research evidence record anthropic:42-2
    72. AI research evidence record openai:c1
    73. AI research evidence record anthropic:6-4
    74. AI research evidence record grok:1
    75. AI research evidence record anthropic:6-17
    76. AI research evidence record perplexity:c2
    77. AI research evidence record google:2.2.3
    78. AI research evidence record openai:c2
    79. AI research evidence record grok:0
    80. AI research evidence record google:1.2.2
    81. AI research evidence record anthropic:5-2
    82. AI research evidence record anthropic:5-3
    83. AI research evidence record anthropic:2-8
    84. AI research evidence record anthropic:3-5
    85. AI research evidence record anthropic:28-6
    86. AI research evidence record google:2.1.2
    87. AI research evidence record google:3.2.3
    88. AI research evidence record anthropic:10-9
    89. AI research evidence record anthropic:44-11
    90. AI research evidence record openai:c1
    91. AI research evidence record perplexity:c3
    92. AI research evidence record deepseek:c1
    93. AI research evidence record kimi:americanamicable-site
    94. AI research evidence record grok:0
    95. AI research evidence record grok:10
    96. AI research evidence record google:1.1.3
    97. AI research evidence record anthropic:2-2
    98. AI research evidence record openai:c1
    99. AI research evidence record anthropic:3-3
    100. AI research evidence record grok:0
    101. AI research evidence record openai:c2
    102. AI research evidence record anthropic:3-5
    103. AI research evidence record anthropic:38-7
    104. AI research evidence record anthropic:5-3
    105. AI research evidence record openai:c3
    106. AI research evidence record anthropic:17-8
    107. AI research evidence record anthropic:28-1
    108. AI research evidence record anthropic:3-6
    109. AI research evidence record anthropic:5-6
    110. AI research evidence record openai:c1
    111. AI research evidence record anthropic:23-3
    112. AI research evidence record anthropic:23-1
    113. AI research evidence record anthropic:23-4
    114. AI research evidence record grok:0
    115. AI research evidence record perplexity:c3
    116. AI research evidence record google:3.2.2
    117. AI research evidence record anthropic:2-2
    118. AI research evidence record anthropic:17-1
    119. AI research evidence record anthropic:19-11
    120. AI research evidence record anthropic:15-1
    121. AI research evidence record anthropic:5-5
    122. AI research evidence record anthropic:40-7
    123. AI research evidence record openai:c1
    124. AI research evidence record anthropic:23-3
    125. AI research evidence record grok:0
    126. AI research evidence record perplexity:c3
    127. AI research evidence record kimi:consumeradviser-transamerica
    128. AI research evidence record kimi:asurgo-gtl
    129. AI research evidence record google:1.1.3
    130. AI research evidence record anthropic:19-11
    131. AI research evidence record anthropic:15-1
    132. AI research evidence record anthropic:30-13
    133. AI research evidence record openai:c1
    134. AI research evidence record anthropic:2-2
    135. AI research evidence record grok:0
    136. AI research evidence record perplexity:c3
    137. AI research evidence record kimi:americanamicable-site
    138. AI research evidence record openai:c1
    139. AI research evidence record anthropic:6-4
    140. AI research evidence record grok:1
    141. AI research evidence record grok:0
    142. AI research evidence record perplexity:c3
    143. AI research evidence record anthropic:19-11

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
40
Ranking mentions
4 of 7
Platform share
57%
Final consensus rank
#5

Behind the findings

Platforms in this study

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

Source records

29 independent · 10 company-owned · 1 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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