AI Consensus Fit Review

Connected Caregiver for Caregiver Oversight - AI Consensus Fit Review

Connected Caregiver is a mixed-to-strong candidate for Comprehensive Caregiver Oversight, depending on which evaluation criteria matter most.

Situation-specific fit reviewA focused review of how this provider fits the needs addressed by this research category.
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Answer Capsule

Connected Caregiver is a mixed-to-strong candidate for Comprehensive Caregiver Oversight, depending on which evaluation criteria matter most. Two of seven AI research platforms named Connected Caregiver during the ranking stage, placing it at an average rank of 3.0 with a best rank of 1. The strongest reason to consider it is the unusually broad integrated bundle—wearable emergency alerting, passive in-home activity monitoring, medication prompting, and optional vital-signs devices unified in one caregiver app. The main limitation is the absence of independently verified alert-delivery latency, escalation protocols, uptime commitments, and privacy certifications; public pricing is also inconsistent across company pages. Buyers who require documented emergency-response performance should verify these details before purchase.

Research Snapshot

MetricValue
Platform mentions in ranking stage2 of 7 (anthropic, grok)
Share of included platform responses28.6% (2 of 7)
Average listed rank3.0
Best listed rank1 (grok)
Relevant product/model/planSafety+ Medical Alert + StackCare Passive Monitoring + Prompter Pillbox bundle; alternatively the Platinum Monitoring package
Overall use-case fitMixed (4 platforms), good (1), strong (1), uncertain (1)
Research date2026-08-13

Why Connected Caregiver Qualified for This Study

Connected Caregiver qualified because it was named by at least two AI research platforms during the ranking stage for caregiver monitoring systems. Anthropic ranked it 5th, and grok ranked it 1st, producing an average rank of 3.0 across the two platforms that named it [1]. The entity was evaluated by all seven platforms in the fit-research stage, with fit ratings ranging from "strong" (google) to "uncertain" (perplexity).

The relevant product configuration is the Safety+ Medical Alert wearable combined with StackCare (also referred to as CareIntel+) passive in-home monitoring and the Prompter Connected Pillbox, sold as the Platinum package or Peace of Mind Platinum Bundle [1].

The Product, Model, Plan, or Service Most Relevant to Comprehensive Caregiver Oversight

The most relevant offering is the Platinum Monitoring package (also called the Peace of Mind Platinum Bundle), which combines:

  • Safety+ Medical Alert: wearable emergency device with 24/7 monitoring, automatic fall detection, GPS, and geofencing, available as pendant or wristband [6]
  • StackCare / CareIntel+ In-Home Passive Monitoring: motion and contact sensors with no cameras or microphones that track sleep, movement, meals, toileting, and room temperature [9]
  • Prompter Connected Pillbox: medication reminders with visual cues and caregiver alerts for likely missed doses [12]
  • Two vital-signs devices (Platinum tier): choice of iBlood Pressure, iGlucometer, iPulseOx, or iScale, with results auto-uploaded to the app [15]

The company also describes a free Connected Caregiver app that serves as a hub for care coordination, including a Care Circle for multiple family members, built-in chat, alert history, and daily updates [16].

What the AI Platforms Agreed About

Strong agreement: The bundle is unusually comprehensive for family caregivers. Six of seven platforms (openai, anthropic, deepseek, grok, kimi, google) noted that the integrated combination of emergency alerting, passive monitoring, and medication prompting is a genuine differentiator. Kimi called it "one of the few consumer-facing systems covering emergency, routine, and safety domains in one platform" [18]. Google rated the fit "strong," describing it as "an exceptionally strong fit for family caregivers seeking a fully integrated, multi-layered monitoring network" [21].

Strong agreement: Passive monitoring without cameras is a privacy advantage. Five platforms (openai, anthropic, kimi, google, deepseek) highlighted that StackCare uses motion and contact sensors with no cameras or listening devices, which may be more acceptable to privacy-sensitive seniors [22].

Strong agreement: No independent verification of alert speed or reliability exists. All seven platforms noted the absence of published response-time metrics, uptime SLAs, or third-party performance testing. Anthropic stated that "real-time alert delivery latency not documented; no published response time SLA available for verification" [25]. OpenAI noted that "public claims about real-time alerts and 24/7 monitoring do not specify technical latency or escalation performance" [26].

Majority agreement: Pricing is inconsistent and difficult to establish. Five platforms (openai, anthropic, kimi, google, deepseek) documented conflicting price points across company pages. OpenAI listed Safety+ at $35, $40, or $45 per month on different pages; StackCare at $75/month plus a $75 sign-up fee on one page and $175 one-time plus $75/month on another; and Platinum at $200/month [22]. Kimi found Safety+ at both $40 and $49.50 per month and StackCare sign-up fees of $75 or $150 [19]. Google documented the Platinum plan as both a flat $200/month and as a $250 one-time fee plus $70–$75/month [21].

Majority agreement: Fall detection is not 100% accurate. Anthropic cited U.S. News & World Report stating that automatic fall detection is "not 100% accurate" and that manual button press remains necessary as backup [30]. OpenAI similarly noted that "fall detection and activity-pattern alerts may not detect every fall, emergency, or health deterioration" [22].

Where the AI Platforms Disagreed or Were Uncertain

Overall fit rating: mixed to strong. Google rated the fit "strong," anthropic rated it "good," four platforms (openai, deepseek, grok, kimi) rated it "mixed," and perplexity rated it "uncertain." This is a meaningful split: the platforms that emphasized breadth of coverage (google, anthropic) rated it more favorably, while those that weighted verified performance and pricing transparency (openai, deepseek, kimi, perplexity) were more cautious.

StackCare vs. CareIntel+ naming. Four platforms (openai, anthropic, kimi, google) flagged that the website uses both names for what appears to be the same passive monitoring system, without clarifying whether they are the same product, different generations, or different packages [31].

Platinum package pricing structure. Google documented the Platinum plan as both a flat $200/month with free devices and as a $250 one-time device fee plus $70–$75/month [35]. Kimi found a $200/month reference without clear plan association and noted that "whether Platinum Monitoring total cost equals sum of components or bundle discount applies is unclear" [37]. Anthropic stated that "Platinum package pricing not clearly listed on public pages; described as highest-cost tier" [39].

Emergency escalation protocol. Anthropic described the documented process as: pressing the help button contacts the monitoring center, which calls the device to verify need and dispatches emergency responders if required [40]. Grok noted that the app allows custom notification sequences (push, text, email, phone) but found "no details on 24/7 monitoring center escalation" [41]. OpenAI stated that "public pages do not provide a guaranteed notification latency, monitoring-center service-level agreement, documented escalation tree, or independently measured emergency-response performance" [42].

HIPAA compliance status. Anthropic noted that "Connected Caregiver does not explicitly state HIPAA compliance status or describe encryption standards, access controls, or data retention policies on the marketing website" [45]. OpenAI's review of the privacy policy found that it "describes HIPAA-related handling for personal health information and sharing with service providers" but that "the public materials do not establish that every component is HIPAA-covered or provide a third-party security certification" [46].

Use-Case-Specific Features and Capabilities

Emergency Alerting and Fall Detection

The Safety+ Medical Alert device provides 24/7 professional monitoring, automatic fall detection via accelerometer/motion sensing, SOS button, GPS, and geofencing [47]. It is available as a pendant or wristband and is cellular-enabled, reporting directly to the caregiver app [48]. One user review on the App Store reported that "the first time we tested the button someone answered at the 4th beep," but this is a single anecdote, not a verified performance metric [51].

Passive In-Home Monitoring

StackCare uses motion and contact sensors to establish daily routines and detect deviations in sleep, movement, meals, toileting, home entry/exit, bathroom overstay, lack of motion, and temperature extremes [52]. The system operates 24/7 without cameras, microphones, or wearables required for routine monitoring [55]. Deepseek reported sensor range of up to 600 feet in open air, though this claim was not corroborated by other platforms [56].

Medication Management

The Prompter Connected Pillbox sends medication reminders to the senior via visual cues (lights) and alerts caregivers to likely missed doses by detecting whether the pillbox door was opened during the set window [57]. The device recognizes pill door interaction but is not a locked dispensing system [60].

Vital Signs Monitoring

The Platinum package includes two cellular-enabled vital-signs devices chosen from blood pressure cuff, glucometer, pulse oximeter, or smart scale [61]. Readings auto-upload to the app, and caregivers can set out-of-bounds thresholds that trigger real-time warnings [49].

Caregiver App and Coordination

The free Connected Caregiver app provides real-time insights into location, activity, and battery status; supports a Care Circle for multi-user coordination; includes built-in chat; and offers alert history review and customizable settings [63]. The app is available for iPhone and Android [63].

Pricing, Fees, Contracts, and Ongoing Costs

Pricing confidence is low. Public pricing is inconsistent across Connected Caregiver pages, and no platform was able to establish a definitive total cost for the recommended bundle.

ComponentReported PricingSource
Safety+ Medical Alert$35, $40, or $45/month on different pages[66], [67], [68]
StackCare Passive Monitoring$75/month + $75 sign-up fee; or $175 one-time + $75/month with first month free[69], [70]
Prompter Pillbox$12 or $15/month; one-time device fees of $25, $49, or $50[71], [72]
Platinum Monitoring Package$200/month flat; or $250 one-time + $70–$75/month; or up to $180/month per aggregate reviews[73], [74], [75]
Basic Package (2 vitals devices)$80/month[67]
Additional vitals devices (standalone)$5–$10/month per device + one-time device cost[76], [74]

Contract terms are not clearly disclosed. No platform found a published minimum subscription term, automatic-renewal terms, cancellation notice period, or post-cancellation equipment obligations [66]. A 30-day money-back guarantee is advertised for Safety+, but eligibility, return shipping, prorating, and equipment-return conditions are not specified [66]. Anthropic noted that "no published contract length requirements visible" and that "monthly subscription model suggested but cancellation terms unclear" [77].

Additional fees may apply. These include sign-up or activation fees (amounts vary), one-time equipment fees unless waived by promotion, possible SMS or mobile data charges, taxes, shipping, and replacement-equipment costs [66]. Kimi noted that a cellular hub backup costs extra, with the amount unspecified [78].

Best Suited For

Connected Caregiver is best suited for:

  • Families wanting one vendor for multiple monitoring needs: wearable emergency alerts, in-home routine monitoring, medication reminders, and caregiver coordination in a single ecosystem [79]
  • Privacy-sensitive households: seniors who resist cameras or devices requiring constant interaction; the passive system uses no cameras or listening devices [79]
  • Long-distance caregivers: passive monitoring that doesn't require the senior to wear or actively operate a device for routine tracking [82]
  • Multi-generational care circles: the free app supports Care Circle coordination with multiple family members, built-in chat, and shared alert history [85]
  • Seniors with complex care needs: those requiring a mix of fall alerts, medication reminders, activity tracking, and vitals monitoring [87]

Probably Not Best Suited For

Connected Caregiver is probably not best suited for:

  • Buyers requiring independently verified response-time guarantees: no published SLA, latency benchmarks, or third-party testing exists [89]
  • Budget-constrained buyers seeking transparent pricing: conflicting price points across company pages make total cost difficult to establish [93]
  • Situations requiring near-perfect fall detection: automatic fall detection is acknowledged as not 100% accurate, and manual button press remains necessary as backup [96]
  • Buyers needing documented HIPAA compliance or security certifications: no third-party security audits, SOC 2 reports, or explicit HIPAA certification were found [97]
  • Families needing camera-based visual confirmation: the system deliberately excludes cameras and audio [99]
  • Very large or multi-story homes: sensor coverage requirements and effective range are not specified, making pre-purchase planning difficult [101]

When Another Option May Be Better

The platforms identified several scenarios where alternatives may be preferable:

  • When verified response times are mandatory: anthropic suggested medical-alert specialists with documented SLA penalties, such as Life Alert or Bay Alarm Medical [103]. Kimi similarly recommended "medical alert specialists like Life Alert or Bay Alarm Medical with published response metrics" [104].
  • When emergency monitoring is the primary requirement: openai recommended a specialized medical-alert provider when passive home-routine analytics are secondary [105].
  • When locked medication dispensing is required: openai recommended a dedicated medication-dispensing service when locked dispensing, dose-level verification, or pharmacy integration is needed [106].
  • When broader sensor coverage or professional installation is needed: openai recommended a professionally installed smart-home or remote-care platform [108].
  • When clinically validated vital-sign monitoring is required: openai recommended a clinically oriented remote-patient-monitoring service [109].
  • When camera-based visual confirmation is preferred: google noted that camera-integrated systems like Aloe Care Health may be better [110].
  • When professional care agency integration is needed: kimi suggested BridgeCare OS or HiCareGiver [111].

Questions to Verify Before Buying

Before purchasing, buyers should obtain written confirmation from Connected Caregiver on:

  1. Exact current pricing: monthly price, one-time equipment cost, sign-up fee, taxes, shipping, and promotional expiration for the Safety+ plus StackCare plus Prompter bundle [112]
  2. Platinum package contents: exactly which wearable, sensors, pillbox, monitoring services, and caregiver-app features are included [115]
  3. StackCare vs. CareIntel+: whether these are the same product and which name will appear on the order, app, and contract [112]
  4. Alert delivery time: measured average and maximum time from SOS or fall event to monitoring-center contact, caregiver notification, and emergency-service escalation [119]
  5. Escalation sequence: what happens when the primary caregiver does not answer, and how many backup contacts can be configured [121]
  6. Fall detection limitations: what events or body positions can cause missed or false alerts, and whether sensitivity is adjustable [123]
  7. Outage behavior: what happens during Wi-Fi, power, cellular, hub, sensor, or cloud-service outages [112]
  8. Privacy and security: independent security audits, HIPAA documentation, SOC 2 reports, encryption details, and business-associate agreements [124]
  9. Data retention: how long raw sensor, location, medication, and alert data are retained, and whether export or permanent deletion is possible [124]
  10. Contract terms: minimum term, auto-renewal, cancellation, refund, return, replacement, and early-termination rules [121]
  11. Device ownership: whether the device is owned after cancellation or must be returned [126]
  12. End-to-end testing: whether the family can test an emergency alert and escalation workflow before relying on the system [121]

Final AI Consensus Verdict

Connected Caregiver is a mixed but credible candidate for Comprehensive Caregiver Oversight. The proposed bundle is unusually broad for family caregivers who want emergency alerts, passive routine tracking, medication prompts, and caregiver coordination in one ecosystem. The strongest endorsement came from google ("strong fit") and anthropic ("good fit"), both of which emphasized the comprehensiveness of the integrated platform.

However, the consensus across platforms is that the buyer should not treat public claims as proof of emergency-grade reliability, rapid escalation, or comprehensive privacy compliance. No platform found independently verified alert-delivery latency, uptime commitments, escalation performance, or third-party security certifications. Pricing is inconsistent across company pages, and contract terms are not clearly disclosed.

Purchase is most defensible after obtaining written confirmation of current bundle pricing, response-time targets, outage behavior, cancellation terms, and data-security commitments. For buyers who prioritize breadth of monitoring over operational transparency, Connected Caregiver may be a strong value; for those requiring guaranteed performance metrics or predictable costs, alternatives with published SLAs should be considered.

For a broader comparison of caregiver monitoring systems, see the Comprehensive Caregiver Oversight consensus index. You can also browse other options in the home safety category directory.

How This Review Was Produced

This review was produced on 2026-08-13 by aggregating fit-research responses from seven AI research platforms: openai, anthropic, deepseek, grok, kimi, perplexity, and google. Each platform evaluated Connected Caregiver against six criteria: real-time alert delivery speed, escalation protocols, app usability, multi-sensor hardware range, system reliability, and privacy compliance.

The entity ranking statistics reflect only platforms that named Connected Caregiver during the ranking discovery stage (anthropic and grok). All seven platforms provided fit assessments, but platform_mentions counts only those that named the entity during ranking.

Methodology Limitations

  • Company-owned sources dominate: Of 21 deduplicated sources, 15 are company-owned (myconnectedcaregiver.com) and 6 are independent. Company claims should not be treated as independently verified.
  • Platform research dates differ: Deepseek's research date is 2026-04-08, while the authoritative run date is 2026-08-13. This discrepancy is disclosed as provenance metadata and does not independently prove freshness.
  • No independent validation of URLs: The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
  • Conflicting product information: The platforms did not resolve whether StackCare and CareIntel+ are the same product, and pricing conflicts across company pages were not reconciled.
  • No personal testing: This review does not reflect personal testing, customer experience, or independent verification of product performance.
  • AI agreement does not prove quality: Agreement among AI platforms reflects analysis of available sources, not independent product testing.

Sources

Company-Owned Sources

  • Homepage | My Connected Caregiver: https://myconnectedcaregiver.com/
  • Connected Caregiver Devices & Remote Health Monitoring: https://myconnectedcaregiver.com/connected-devices/
  • Connected Home Care & Monitoring | Connected Caregiver: https://myconnectedcaregiver.com/connected-home/
  • Platinum Monitoring | My Connected Caregiver: https://myconnectedcaregiver.com/platinum-monitoring/
  • StackCare | Passive Monitoring System for Caregivers | My Connected Caregiver: https://myconnectedcaregiver.com/product/careintel/
  • Peace of Mind PLATINUM Bundle | My Connected Caregiver: https://myconnectedcaregiver.com/product/peace-of-mind-platinum-bundle/
  • Safety+ Medical Alert System: Trusted & Reliable | Connected Care | My Connected Caregiver: https://myconnectedcaregiver.com/product/safety/
  • StackCare Passive Monitoring System: https://myconnectedcaregiver.com/product/stackcare/
  • Professional Caregivers | My Connected Caregiver: https://myconnectedcaregiver.com/professional-caregivers/
  • Safety+ Medical Alert and Packages & Pricing: https://myconnectedcaregiver.com/safety/
  • Additional AI research evidence126 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:c4
    3. AI research evidence record grok:c1
    4. AI research evidence record google:c1
    5. AI research evidence record kimi:c3
    6. AI research evidence record openai:c5
    7. AI research evidence record anthropic:c8
    8. AI research evidence record google:c1
    9. AI research evidence record openai:c1
    10. AI research evidence record anthropic:c9
    11. AI research evidence record google:c3
    12. AI research evidence record openai:c3
    13. AI research evidence record anthropic:c13
    14. AI research evidence record google:c4
    15. AI research evidence record anthropic:c14
    16. AI research evidence record openai:c7
    17. AI research evidence record anthropic:c3
    18. AI research evidence record kimi:c1
    19. AI research evidence record kimi:c2
    20. AI research evidence record kimi:c3
    21. AI research evidence record google:c1
    22. AI research evidence record openai:c1
    23. AI research evidence record anthropic:c9
    24. AI research evidence record google:c3
    25. AI research evidence record anthropic:c1
    26. AI research evidence record openai:c4
    27. AI research evidence record openai:c5
    28. AI research evidence record openai:c6
    29. AI research evidence record google:c5
    30. AI research evidence record anthropic:c8
    31. AI research evidence record openai:c1
    32. AI research evidence record anthropic:c9
    33. AI research evidence record kimi:c2
    34. AI research evidence record google:c3
    35. AI research evidence record google:c1
    36. AI research evidence record google:c5
    37. AI research evidence record kimi:c1
    38. AI research evidence record kimi:c3
    39. AI research evidence record anthropic:c4
    40. AI research evidence record anthropic:c10
    41. AI research evidence record grok:c1
    42. AI research evidence record openai:c3
    43. AI research evidence record openai:c4
    44. AI research evidence record openai:c5
    45. AI research evidence record anthropic:c15
    46. AI research evidence record openai:c8
    47. AI research evidence record openai:c5
    48. AI research evidence record anthropic:c8
    49. AI research evidence record google:c1
    50. AI research evidence record anthropic:c11
    51. AI research evidence record anthropic:c5
    52. AI research evidence record openai:c1
    53. AI research evidence record anthropic:c7
    54. AI research evidence record google:c3
    55. AI research evidence record anthropic:c9
    56. AI research evidence record deepseek:c1
    57. AI research evidence record openai:c3
    58. AI research evidence record anthropic:c13
    59. AI research evidence record google:c4
    60. AI research evidence record openai:c9
    61. AI research evidence record anthropic:c14
    62. AI research evidence record google:c2
    63. AI research evidence record openai:c7
    64. AI research evidence record anthropic:c3
    65. AI research evidence record anthropic:c6
    66. AI research evidence record openai:c5
    67. AI research evidence record kimi:c3
    68. AI research evidence record google:c2
    69. AI research evidence record openai:c1
    70. AI research evidence record openai:c2
    71. AI research evidence record openai:c3
    72. AI research evidence record google:c4
    73. AI research evidence record openai:c6
    74. AI research evidence record google:c1
    75. AI research evidence record google:c5
    76. AI research evidence record openai:c4
    77. AI research evidence record anthropic:c12
    78. AI research evidence record kimi:c2
    79. AI research evidence record openai:c1
    80. AI research evidence record anthropic:c4
    81. AI research evidence record kimi:c1
    82. AI research evidence record anthropic:c9
    83. AI research evidence record google:c3
    84. AI research evidence record anthropic:c11
    85. AI research evidence record openai:c7
    86. AI research evidence record anthropic:c3
    87. AI research evidence record google:c1
    88. AI research evidence record google:c2
    89. AI research evidence record openai:c4
    90. AI research evidence record anthropic:c1
    91. AI research evidence record deepseek:c1
    92. AI research evidence record perplexity:c1
    93. AI research evidence record openai:c1
    94. AI research evidence record kimi:c1
    95. AI research evidence record google:c5
    96. AI research evidence record anthropic:c8
    97. AI research evidence record openai:c8
    98. AI research evidence record anthropic:c15
    99. AI research evidence record google:c3
    100. AI research evidence record kimi:c2
    101. AI research evidence record anthropic:c2
    102. AI research evidence record anthropic:c9
    103. AI research evidence record anthropic:c8
    104. AI research evidence record kimi:c3
    105. AI research evidence record openai:c5
    106. AI research evidence record openai:c3
    107. AI research evidence record openai:c9
    108. AI research evidence record openai:c1
    109. AI research evidence record openai:c6
    110. AI research evidence record google:c1
    111. AI research evidence record kimi:c4
    112. AI research evidence record openai:c1
    113. AI research evidence record kimi:c1
    114. AI research evidence record google:c5
    115. AI research evidence record anthropic:c4
    116. AI research evidence record google:c1
    117. AI research evidence record anthropic:c9
    118. AI research evidence record kimi:c2
    119. AI research evidence record openai:c4
    120. AI research evidence record anthropic:c1
    121. AI research evidence record openai:c5
    122. AI research evidence record anthropic:c10
    123. AI research evidence record anthropic:c8
    124. AI research evidence record openai:c8
    125. AI research evidence record anthropic:c15
    126. AI research evidence record anthropic:c12

Independent Sources

  • Connected Caregiver Medical Alert System Review 2026 | U.S. News & World Report: https://realestate.usnews.com/home-services/medical-alert-system/connected-caregiver
  • Connected Caregiver Safety+ 4G Medical Alert System - Amazon: https://www.amazon.com/Connected-Caregiver-Safety-Medical-Seniors/dp/B0DYK4DKLM
  • StackCare by Connected Caregiver Medical Alert System - Amazon: https://www.amazon.com/StackCare-Connected-Caregiver-Detection-Monitoring/dp/B0G4M4NK4M
  • HIPAA for Caregivers: Rules, Rights, and Violations (2026: https://www.cornerstonehealthcaretraining.com/article/hipaa-for-caregivers
  • Additional AI research evidence126 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:c4
    3. AI research evidence record grok:c1
    4. AI research evidence record google:c1
    5. AI research evidence record kimi:c3
    6. AI research evidence record openai:c5
    7. AI research evidence record anthropic:c8
    8. AI research evidence record google:c1
    9. AI research evidence record openai:c1
    10. AI research evidence record anthropic:c9
    11. AI research evidence record google:c3
    12. AI research evidence record openai:c3
    13. AI research evidence record anthropic:c13
    14. AI research evidence record google:c4
    15. AI research evidence record anthropic:c14
    16. AI research evidence record openai:c7
    17. AI research evidence record anthropic:c3
    18. AI research evidence record kimi:c1
    19. AI research evidence record kimi:c2
    20. AI research evidence record kimi:c3
    21. AI research evidence record google:c1
    22. AI research evidence record openai:c1
    23. AI research evidence record anthropic:c9
    24. AI research evidence record google:c3
    25. AI research evidence record anthropic:c1
    26. AI research evidence record openai:c4
    27. AI research evidence record openai:c5
    28. AI research evidence record openai:c6
    29. AI research evidence record google:c5
    30. AI research evidence record anthropic:c8
    31. AI research evidence record openai:c1
    32. AI research evidence record anthropic:c9
    33. AI research evidence record kimi:c2
    34. AI research evidence record google:c3
    35. AI research evidence record google:c1
    36. AI research evidence record google:c5
    37. AI research evidence record kimi:c1
    38. AI research evidence record kimi:c3
    39. AI research evidence record anthropic:c4
    40. AI research evidence record anthropic:c10
    41. AI research evidence record grok:c1
    42. AI research evidence record openai:c3
    43. AI research evidence record openai:c4
    44. AI research evidence record openai:c5
    45. AI research evidence record anthropic:c15
    46. AI research evidence record openai:c8
    47. AI research evidence record openai:c5
    48. AI research evidence record anthropic:c8
    49. AI research evidence record google:c1
    50. AI research evidence record anthropic:c11
    51. AI research evidence record anthropic:c5
    52. AI research evidence record openai:c1
    53. AI research evidence record anthropic:c7
    54. AI research evidence record google:c3
    55. AI research evidence record anthropic:c9
    56. AI research evidence record deepseek:c1
    57. AI research evidence record openai:c3
    58. AI research evidence record anthropic:c13
    59. AI research evidence record google:c4
    60. AI research evidence record openai:c9
    61. AI research evidence record anthropic:c14
    62. AI research evidence record google:c2
    63. AI research evidence record openai:c7
    64. AI research evidence record anthropic:c3
    65. AI research evidence record anthropic:c6
    66. AI research evidence record openai:c5
    67. AI research evidence record kimi:c3
    68. AI research evidence record google:c2
    69. AI research evidence record openai:c1
    70. AI research evidence record openai:c2
    71. AI research evidence record openai:c3
    72. AI research evidence record google:c4
    73. AI research evidence record openai:c6
    74. AI research evidence record google:c1
    75. AI research evidence record google:c5
    76. AI research evidence record openai:c4
    77. AI research evidence record anthropic:c12
    78. AI research evidence record kimi:c2
    79. AI research evidence record openai:c1
    80. AI research evidence record anthropic:c4
    81. AI research evidence record kimi:c1
    82. AI research evidence record anthropic:c9
    83. AI research evidence record google:c3
    84. AI research evidence record anthropic:c11
    85. AI research evidence record openai:c7
    86. AI research evidence record anthropic:c3
    87. AI research evidence record google:c1
    88. AI research evidence record google:c2
    89. AI research evidence record openai:c4
    90. AI research evidence record anthropic:c1
    91. AI research evidence record deepseek:c1
    92. AI research evidence record perplexity:c1
    93. AI research evidence record openai:c1
    94. AI research evidence record kimi:c1
    95. AI research evidence record google:c5
    96. AI research evidence record anthropic:c8
    97. AI research evidence record openai:c8
    98. AI research evidence record anthropic:c15
    99. AI research evidence record google:c3
    100. AI research evidence record kimi:c2
    101. AI research evidence record anthropic:c2
    102. AI research evidence record anthropic:c9
    103. AI research evidence record anthropic:c8
    104. AI research evidence record kimi:c3
    105. AI research evidence record openai:c5
    106. AI research evidence record openai:c3
    107. AI research evidence record openai:c9
    108. AI research evidence record openai:c1
    109. AI research evidence record openai:c6
    110. AI research evidence record google:c1
    111. AI research evidence record kimi:c4
    112. AI research evidence record openai:c1
    113. AI research evidence record kimi:c1
    114. AI research evidence record google:c5
    115. AI research evidence record anthropic:c4
    116. AI research evidence record google:c1
    117. AI research evidence record anthropic:c9
    118. AI research evidence record kimi:c2
    119. AI research evidence record openai:c4
    120. AI research evidence record anthropic:c1
    121. AI research evidence record openai:c5
    122. AI research evidence record anthropic:c10
    123. AI research evidence record anthropic:c8
    124. AI research evidence record openai:c8
    125. AI research evidence record anthropic:c15
    126. AI research evidence record anthropic:c12

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Review the study details behind this page or download the public machine-readable verification record.

Study date
Aug 13, 2026
Platforms analyzed
7
Source records
21
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#3

Research trail and source mix

Platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

6 independent · 15 company-owned

Evidence support

19 direct · 1 partial

Important limitation

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Source snapshot SHA-256 41669d0c04d09d97428b3a8863ec33c7c035c558f2b26fcdd89a0d787ff7a5bd