AI Consensus Fit Review

Routines Review for Seniors

Routines is a good fit for long-distance caregivers who want camera-free awareness of an older adult's presence, room activity, daily routines, and caregiver visits — but it is not a complete safety or emergency-response system.

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Answer Capsule

Routines is a good fit for long-distance caregivers who want camera-free awareness of an older adult's presence, room activity, daily routines, and caregiver visits — but it is not a complete safety or emergency-response system. Two of seven platforms named Routines during the ranking stage (grok and perplexity), where it averaged rank 2.5 and peaked at rank 1. The strongest reason to consider it is its privacy-forward radar sensing with AI routine-anomaly alerts and no cameras, microphones, or wearables [1]. The main limitation is that Routines does not directly detect falls, diagnose health issues, or provide medical monitoring or 24/7 response, and its purchase availability, pricing, and sensor lineup are inconsistent across public sources [1].

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (grok, perplexity)
Share of included platform responses28.6%
Average listed rank2.5
Best listed rank1 (perplexity)
Relevant product/model/planRoutines home monitoring service with three-sensor starter kit and subscription
Overall use-case fitGood for camera-free routine awareness; mixed for emergency safety coverage
Research date2026-09-27

Why Routines Qualified for This Study

Questions This Section Answers

  • Is Routines a good choice for Non-Intrusive Ambient Safety Monitoring by a long-distance caregiver?
  • Does Routines qualify as a camera-free senior monitoring system without wearables?

Routines qualified because it was named during the ranking stage by two of the seven platforms evaluated, grok and perplexity, and it cleared the study's minimum-mention threshold of two [5]. It earned a place in the fit stage because its core design — anonymous radar sensing with no cameras, microphones, or wearables — maps directly onto the non-intrusive ambient monitoring use case [5].

The platform-level fit ratings were not unanimous. Grok rated Routines a strong fit, google, openai, and perplexity rated it good, anthropic and kimi rated it uncertain, and deepseek rated it weak. That spread reflects a real split in the evidence: platforms that could retrieve the official product page described a coherent privacy-first monitoring service, while platforms that could not reach the site treated the product as unverifiable [8].

Routines is made by Density, a company that specializes in anonymous occupancy measurement across office and hospitality space; Routines is described as its first product made for elders and their families [7]. That parent-company background is company-reported, not independently verified.

The Product, Model, Plan, or Service Most Relevant to Non-Intrusive Ambient Safety Monitoring

Questions This Section Answers

  • Which Routines plan should a buyer choose for camera-free routine monitoring of an older adult?
  • How many Routines radar sensors does a home need for reliable room-level coverage?

The relevant offering is the Routines home monitoring service built around a three-sensor starter kit plus a monthly subscription, paired with an iOS caregiver app [10]. Routines recommends three sensors minimum for best coverage — one for each key room — and one partner source describes most homes needing three to four sensors for living room, kitchen, bedroom, and bathroom coverage [12].

The sensors are described as coaster-sized radar units, referred to in some company material as "Waffle" sensors, that measure presence without cameras or microphones [13]. The company describes them as plug-and-play and self-installable in under ten minutes, but the system requires Wi-Fi, electrical outlets, and an iPhone or iPad [10].

A material documentation gap remains: the reviewed public materials do not establish whether the advertised radar sensors are separate models for motion, door, and bed monitoring or a single general-purpose sensor [10]. Buyers who specifically need door-contact or bed-occupancy sensing should treat that as unconfirmed.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Routines does well for non-intrusive senior monitoring?
  • Is Routines genuinely camera-free and wearable-free according to multiple AI platforms?

The clearest cross-platform agreement is on privacy architecture. Multiple platforms reported that Routines uses radar sensing with no cameras, microphones, or wearables, and that this directly supports non-intrusive monitoring [17]. This is company-sourced evidence repeated across platforms, not independent verification.

Platforms also broadly agreed that Routines performs AI routine-anomaly detection: it learns sleep and wake schedules, room-use patterns, and activity rhythms, then alerts caregivers to major deviations, prolonged inactivity, missed routines, or caregiver no-shows [17]. Independent research cited by one platform indicates routine-based anomaly detection can help caregivers but may fail when a monitored person's daily routine is irregular [22].

A third area of agreement is caregiver-app functionality: an iOS app with real-time caregiver arrival, delay, and departure alerts, in-app or text-message alerts, and daily and weekly activity summaries [17]. Android support is not identified on the reviewed official page [17].

Finally, platforms agreed on the core limitation: Routines explicitly states it does not directly detect falls or diagnose health issues [17]. It should be treated as an awareness and check-in tool, not an emergency-response or medical-monitoring product.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do AI platforms disagree about whether Routines is currently available to buy?
  • Is Routines pricing of $299 plus $49 per month confirmed or conflicting across sources?

The largest disagreement concerns availability. The official site lists a waitlist for early access in Spring 2026, while a separate company resource says Routines would become available across the United States in Fall 2025 [25]. One platform reported that the official website was not accessible at all during its research and found no independent coverage of the company [28]. Current nationwide availability and ordering status are therefore unclear.

Pricing is also contested. The official page lists $299 for three sensors plus $49 per month, and one platform reported high pricing confidence in those figures [29]. But a 2025 partner article and a BusinessWire announcement cited a different launch structure of $99 per sensor and $10 per month, and the discrepancy is unresolved [30]. One platform stated flatly that the $299/$49 figures could not be verified against any official source [32].

Sensor lineup is a third uncertainty. Public material supports radar-based presence sensing and room-activity tracking, but does not confirm dedicated door or bed sensors [25]. Fall detection is not mentioned in company documentation, and no independently verified accuracy, false-positive, false-negative, or fall-detection performance data was identified [25].

Contract, cancellation, data-retention, encryption, and outage-behavior terms are not clearly disclosed in the reviewed sources [25]. The official terms page states that fees, billing terms, subscription periods, hardware purchases, and shipping terms are described at purchase or in an applicable order document, and that fees are nonrefundable unless stated otherwise or required by law (official:C2).

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • What can Routines actually detect in a senior's home without cameras or wearables?
  • Does Routines verify caregiver visits and send alerts when routines change?

Routines is designed around passive radar detection of presence, movement, inactivity, and room transitions, with AI interpretation layered on top [34]. The company says it learns the resident's normal sleep, wake, room-use, and activity patterns and alerts on major deviations, prolonged inactivity, missed routines, or caregiver no-shows [34].

Caregiver-visit verification is a distinguishing feature: the system can report when a caregiver arrives, how long they stay, and whether they fail to show up [36]. This exceeds baseline ambient monitoring and is relevant to families coordinating paid or family caregiving.

Alerting runs through an iOS app with in-app or text-message alerts plus daily and weekly activity summaries [34]. One platform described the alert style as conversational rather than generic rule-based notifications, though no app screenshots, interface details, or accessibility features are publicly documented [36].

The capability boundary is explicit: Routines does not directly detect falls, diagnose health issues, or provide medical monitoring, and no verified medical alert or professional response layer was found [34]. Installation requires Wi-Fi, electrical outlets, and an iPhone or iPad, and the company recommends obtaining the monitored person's consent before installation [34].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Routines cost per month, and what is the upfront hardware price?
  • Are there Routines setup, shipping, or cancellation fees a buyer should confirm before purchase?

The most commonly cited pricing is $299 upfront for three sensors plus $49 per month, which produces a first-year listed cost of $887 before taxes or other charges [39]. Two platforms reported high pricing confidence in these figures [40], while one reported low confidence and stated the figures could not be verified against official sources [41].

A conflicting older structure of $99 per sensor and $10 per month appears in 2025 partner and announcement material, and that discrepancy is unresolved [42]. Buyers should not assume either figure is current without direct confirmation.

Additional fees are largely unspecified. Taxes, shipping, replacement hardware, installation assistance, and any professional-caregiving fees are not detailed on the reviewed page [39]. One platform noted that add-on sensor pricing was previously announced starting at $99 per individual sensor, but current bundle requirements may vary [44].

Contract and cancellation terms are not clearly disclosed. The reviewed official page does not state contract length, refund policy, cancellation process, pause options, prorating, or whether monitoring continues without the subscription [39]. The official terms page states that fees are nonrefundable unless stated otherwise or required by law, and that buyers authorize charges for applicable fees, taxes, shipping, renewals, and other charges (official:C2). One platform reported that no long-term contract requirements are explicitly stated, though terms of service apply [44].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Routines for camera-free monitoring of an aging parent?
  • Is Routines worth it for caregivers who need routine-change and inactivity alerts?

Routines is best suited to long-distance caregivers who want camera-free awareness of presence, room activity, daily routines, and caregiver visits [46]. It fits camera-averse Seniors who will not wear a pendant or smartwatch, and homes where Wi-Fi, electrical outlets, and an iPhone or iPad are available [46].

It also suits families who value AI-driven anomaly detection and conversational alerts over generic rule-based notifications, and who want caregiver-arrival verification as part of the picture [48]. Buyers prioritizing privacy and passive in-home sensing over live video are the clearest match [47].

One platform framed the fit as strong specifically for US households seeking AI-driven alerts on schedule deviations and caregiver presence (grok:0). Another framed it as good when the buyer wants camera-free, passive routine tracking with app-based caregiver alerts but verifies pricing and product details carefully [47].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Routines for non-intrusive ambient safety monitoring?
  • Is Routines unsuitable for a senior with a high fall risk or emergency-response needs?

Routines is probably not the right choice for buyers requiring verified fall detection or emergency dispatch [50]. It does not directly detect falls, diagnose health conditions, provide medical monitoring, or replace a 24/7 response service [50].

It is also a poor fit for buyers needing dedicated door, bed, vital-sign, or medical sensors, since the reviewed materials do not confirm those sensor types [50]. Homes without reliable Wi-Fi, or with highly irregular daily routines, are weaker candidates because routine-anomaly alerts may be less reliable for residents with changing schedules [50].

Buyers who need Android support, cellular backup, or cross-platform access should look elsewhere, since Android availability is unconfirmed and marketing materials reference iOS app development only [50]. Buyers who need fully transparent pricing and contract terms before purchase also face friction, given the unresolved pricing conflict and undisclosed cancellation terms [53].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Routines for a buyer who needs immediate fall detection or 24/7 monitoring?
  • Which alternative to Routines works better for Android users or buyers needing door and bed sensors?

Another option may be better in several specific situations. When emergency dispatch, two-way voice communication, or verified response escalation is the priority, a monitored medical-alert system is the more appropriate category [55]. When specific event detection matters more than broad routine awareness, a system with dedicated bed, door, temperature, water, or wearable sensors is a better match [55].

When the household lacks an iPhone or iPad, or has unreliable Wi-Fi, a platform with Android support or cellular backup is preferable [55]. When caregivers can accept less AI interpretation and manually review activity, a lower-cost sensor-only solution may be sufficient [55].

Platforms named several specific alternatives. EnvoyatHome is described as a passive remote monitoring system for seniors sold directly to family caregivers, using passive motion and door sensors without cameras or wearables on a consumer subscription model [57]. Nomo Smart Care is described as offering passive home monitoring with motion sensors and smart tags that track routines and send notifications for deviations, without cameras [58]. Alerta Home is described as offering passive sensor monitoring for three spaces at $189 with the first month included and no cameras or wearables (kimi:alerta-1). Nami is described as providing Wi-Fi activity sensing with three sensors and a door sensor for roughly 100 square meters of coverage (kimi:nami-1). Butlr Care is described as using thermal ceiling-mounted sensors with 90% recall, under five-second latency, and API-first integration (kimi:butlr-1). These descriptions are platform-reported and company-sourced, not independently verified.

Buyers who need an immediately deployable system, verified fall detection, professional 24/7 monitoring center support, multi-protocol home automation integration, or documented HIPAA compliance frameworks should evaluate those categories directly [56].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Routines about availability, pricing, and sensor types before paying?
  • What data, contract, and alert-escalation terms should a caregiver verify with Routines?

Before buying, confirm whether the three-sensor kit is currently orderable in the buyer's US location or still waitlist-only, since the official site lists Spring 2026 early access while a company resource says Fall 2025 availability [59].

Confirm exactly what events each sensor can detect, whether door-entry, bed-exit, bathroom, and room-level events are supported, how many rooms three sensors reliably cover, and what placement constraints apply [59].

Ask for measured false-alert and missed-alert rates for prolonged inactivity, caregiver arrivals, and routine deviations, and whether the system correctly handles multiple people, pets, visitors, or overnight caregivers [59].

Verify whether Android support, cellular backup, battery backup, or operation during Wi-Fi or power outages exists, and whether alerts can go to multiple caregivers with configurable schedules, escalation, and text versus app notifications [59].

Confirm what happens during a suspected emergency and whether any 24/7 human response or emergency dispatch is included [59].

Ask what data is collected, where it is stored, how long it is retained, who can access it, and whether it can be deleted, plus the cancellation, refund, replacement, shipping, tax, and subscription-pause terms [59].

Final AI Consensus Verdict

Routines is a good, privacy-forward fit for camera-free awareness of an older adult's presence, room activity, routines, and caregiver visits. It is a mixed fit if the buyer interprets ambient monitoring as emergency safety coverage, because the product does not directly detect falls or provide medical or response services [64].

Purchase is most defensible when the senior accepts radar sensors, has reliable Wi-Fi and Apple-device access, follows reasonably stable routines, and caregivers understand that alerts require human follow-up [64]. The platform-level ratings ranged from strong to weak, and the disagreement tracks evidence access rather than product quality: platforms that retrieved the official page described a coherent service, while platforms that could not reach the site treated it as unverifiable [67].

AI-platform agreement does not prove product quality. Company-owned citations materially outnumber independent citations in this evidence set, and no independently verified accuracy, false-alarm, or fall-detection performance data was identified [64]. Buyers should verify availability, pricing, sensor types, and contract terms directly with the company before committing.

How This Review Was Produced

This review was produced from platform-reported research dated 2026-09-27. Seven platforms evaluated Routines for fit, and two of them named the entity during the ranking stage. Each platform supplied its own citations, fit rating, strengths, limitations, pricing notes, and verification questions. Those inputs were consolidated into the sections above without independent testing, site visits, or customer interviews.

Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Company-owned citations materially outnumber independent citations, so company claims are labeled as such and should not be read as independently verified.

Methodology Limitations

Several limitations apply. Platform-reported dates are provenance metadata and do not independently prove freshness. All included platforms evaluated fit, but the platform-mention count reflects only platforms that named the entity during ranking discovery.

Conflicting product names, pricing, and capabilities were not resolved by guessing; the conflicts are described and buyers are told what to verify. The reviewed materials do not clearly state Android availability, cellular backup, outage behavior, data retention, encryption, or subscription cancellation terms [69]. No independently verified accuracy, false-positive, false-negative, or fall-detection performance data was identified [69].

One platform reported that the official website was inaccessible during its research and found no independent coverage of the company, which is a retrieval limitation rather than proof the product does not exist [71]. The official-page excerpts used here are retrieved but not verified, and their plan, date, geography, and eligibility context may not match current terms (official:C1, official:C2).

Explore more senior technology guidance in the category directory.

Sources

Company-Owned Sources

  • Independent Living Awareness | nami: https://nami.ai/independent-living-awareness/
  • Alerta Home | Continuous Caregiving Awareness: https://www.alertahome.com/
  • Routines helps families care from afar - Density.io: https://www.density.io/blog/routines-helps-families-care-from-afar
  • Real-Time Updates on Elder Care—No Cameras, No Wearables: https://www.routines.com/
  • Official pricing and terms source: https://www.routines.com/terms
  • Additional AI research evidence71 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:c1
    3. AI research evidence record perplexity:c1
    4. AI research evidence record perplexity:c5
    5. AI research evidence record openai:c1
    6. AI research evidence record perplexity:c1
    7. AI research evidence record anthropic:c1
    8. AI research evidence record deepseek:c1
    9. AI research evidence record google:2.1.2
    10. AI research evidence record openai:c1
    11. AI research evidence record google:1.3.1
    12. AI research evidence record perplexity:c2
    13. AI research evidence record google:1.1.2
    14. AI research evidence record google:2.1.2
    15. AI research evidence record anthropic:c1
    16. AI research evidence record perplexity:c1
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:c1
    19. AI research evidence record perplexity:c1
    20. AI research evidence record google:1.1.2
    21. AI research evidence record google:2.3.2
    22. AI research evidence record openai:c2
    23. AI research evidence record google:1.3.1
    24. AI research evidence record google:1.1.1
    25. AI research evidence record openai:c1
    26. AI research evidence record openai:c3
    27. AI research evidence record google:3.2.1
    28. AI research evidence record deepseek:c1
    29. AI research evidence record google:2.4.1
    30. AI research evidence record perplexity:c2
    31. AI research evidence record perplexity:c5
    32. AI research evidence record anthropic:c1
    33. AI research evidence record perplexity:c1
    34. AI research evidence record openai:c1
    35. AI research evidence record google:2.3.2
    36. AI research evidence record anthropic:c1
    37. AI research evidence record google:1.1.1
    38. AI research evidence record perplexity:c1
    39. AI research evidence record openai:c1
    40. AI research evidence record google:2.4.1
    41. AI research evidence record anthropic:c1
    42. AI research evidence record perplexity:c2
    43. AI research evidence record perplexity:c5
    44. AI research evidence record google:1.3.1
    45. AI research evidence record perplexity:c1
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    47. AI research evidence record perplexity:c1
    48. AI research evidence record anthropic:c1
    49. AI research evidence record google:1.1.1
    50. AI research evidence record openai:c1
    51. AI research evidence record google:1.1.1
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    54. AI research evidence record openai:c2
    55. AI research evidence record openai:c1
    56. AI research evidence record anthropic:c1
    57. AI research evidence record anthropic:c2
    58. AI research evidence record anthropic:c3
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    60. AI research evidence record openai:c3
    61. AI research evidence record google:3.2.1
    62. AI research evidence record anthropic:c1
    63. AI research evidence record perplexity:c1
    64. AI research evidence record openai:c1
    65. AI research evidence record google:1.1.1
    66. AI research evidence record openai:c2
    67. AI research evidence record deepseek:c1
    68. AI research evidence record anthropic:c1
    69. AI research evidence record openai:c1
    70. AI research evidence record anthropic:c1
    71. AI research evidence record deepseek:c1

Independent Sources

  • In-Home Monitoring Technology for Aging in Place: Scoping Review: https://pmc.ncbi.nlm.nih.gov/articles/PMC9478817/
  • Additional AI research evidence71 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:c1
    3. AI research evidence record perplexity:c1
    4. AI research evidence record perplexity:c5
    5. AI research evidence record openai:c1
    6. AI research evidence record perplexity:c1
    7. AI research evidence record anthropic:c1
    8. AI research evidence record deepseek:c1
    9. AI research evidence record google:2.1.2
    10. AI research evidence record openai:c1
    11. AI research evidence record google:1.3.1
    12. AI research evidence record perplexity:c2
    13. AI research evidence record google:1.1.2
    14. AI research evidence record google:2.1.2
    15. AI research evidence record anthropic:c1
    16. AI research evidence record perplexity:c1
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:c1
    19. AI research evidence record perplexity:c1
    20. AI research evidence record google:1.1.2
    21. AI research evidence record google:2.3.2
    22. AI research evidence record openai:c2
    23. AI research evidence record google:1.3.1
    24. AI research evidence record google:1.1.1
    25. AI research evidence record openai:c1
    26. AI research evidence record openai:c3
    27. AI research evidence record google:3.2.1
    28. AI research evidence record deepseek:c1
    29. AI research evidence record google:2.4.1
    30. AI research evidence record perplexity:c2
    31. AI research evidence record perplexity:c5
    32. AI research evidence record anthropic:c1
    33. AI research evidence record perplexity:c1
    34. AI research evidence record openai:c1
    35. AI research evidence record google:2.3.2
    36. AI research evidence record anthropic:c1
    37. AI research evidence record google:1.1.1
    38. AI research evidence record perplexity:c1
    39. AI research evidence record openai:c1
    40. AI research evidence record google:2.4.1
    41. AI research evidence record anthropic:c1
    42. AI research evidence record perplexity:c2
    43. AI research evidence record perplexity:c5
    44. AI research evidence record google:1.3.1
    45. AI research evidence record perplexity:c1
    46. AI research evidence record openai:c1
    47. AI research evidence record perplexity:c1
    48. AI research evidence record anthropic:c1
    49. AI research evidence record google:1.1.1
    50. AI research evidence record openai:c1
    51. AI research evidence record google:1.1.1
    52. AI research evidence record anthropic:c1
    53. AI research evidence record perplexity:c1
    54. AI research evidence record openai:c2
    55. AI research evidence record openai:c1
    56. AI research evidence record anthropic:c1
    57. AI research evidence record anthropic:c2
    58. AI research evidence record anthropic:c3
    59. AI research evidence record openai:c1
    60. AI research evidence record openai:c3
    61. AI research evidence record google:3.2.1
    62. AI research evidence record anthropic:c1
    63. AI research evidence record perplexity:c1
    64. AI research evidence record openai:c1
    65. AI research evidence record google:1.1.1
    66. AI research evidence record openai:c2
    67. AI research evidence record deepseek:c1
    68. AI research evidence record anthropic:c1
    69. AI research evidence record openai:c1
    70. AI research evidence record anthropic:c1
    71. AI research evidence record deepseek:c1

Other Sources

  • Nomo Smart Care – Home Monitoring Systems for Elderly: https://nomosmartcare.com/pages/home-monitoring-systems-for-the-elderly
  • Additional AI research evidence71 records
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    2. AI research evidence record anthropic:c1
    3. AI research evidence record perplexity:c1
    4. AI research evidence record perplexity:c5
    5. AI research evidence record openai:c1
    6. AI research evidence record perplexity:c1
    7. AI research evidence record anthropic:c1
    8. AI research evidence record deepseek:c1
    9. AI research evidence record google:2.1.2
    10. AI research evidence record openai:c1
    11. AI research evidence record google:1.3.1
    12. AI research evidence record perplexity:c2
    13. AI research evidence record google:1.1.2
    14. AI research evidence record google:2.1.2
    15. AI research evidence record anthropic:c1
    16. AI research evidence record perplexity:c1
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:c1
    19. AI research evidence record perplexity:c1
    20. AI research evidence record google:1.1.2
    21. AI research evidence record google:2.3.2
    22. AI research evidence record openai:c2
    23. AI research evidence record google:1.3.1
    24. AI research evidence record google:1.1.1
    25. AI research evidence record openai:c1
    26. AI research evidence record openai:c3
    27. AI research evidence record google:3.2.1
    28. AI research evidence record deepseek:c1
    29. AI research evidence record google:2.4.1
    30. AI research evidence record perplexity:c2
    31. AI research evidence record perplexity:c5
    32. AI research evidence record anthropic:c1
    33. AI research evidence record perplexity:c1
    34. AI research evidence record openai:c1
    35. AI research evidence record google:2.3.2
    36. AI research evidence record anthropic:c1
    37. AI research evidence record google:1.1.1
    38. AI research evidence record perplexity:c1
    39. AI research evidence record openai:c1
    40. AI research evidence record google:2.4.1
    41. AI research evidence record anthropic:c1
    42. AI research evidence record perplexity:c2
    43. AI research evidence record perplexity:c5
    44. AI research evidence record google:1.3.1
    45. AI research evidence record perplexity:c1
    46. AI research evidence record openai:c1
    47. AI research evidence record perplexity:c1
    48. AI research evidence record anthropic:c1
    49. AI research evidence record google:1.1.1
    50. AI research evidence record openai:c1
    51. AI research evidence record google:1.1.1
    52. AI research evidence record anthropic:c1
    53. AI research evidence record perplexity:c1
    54. AI research evidence record openai:c2
    55. AI research evidence record openai:c1
    56. AI research evidence record anthropic:c1
    57. AI research evidence record anthropic:c2
    58. AI research evidence record anthropic:c3
    59. AI research evidence record openai:c1
    60. AI research evidence record openai:c3
    61. AI research evidence record google:3.2.1
    62. AI research evidence record anthropic:c1
    63. AI research evidence record perplexity:c1
    64. AI research evidence record openai:c1
    65. AI research evidence record google:1.1.1
    66. AI research evidence record openai:c2
    67. AI research evidence record deepseek:c1
    68. AI research evidence record anthropic:c1
    69. AI research evidence record openai:c1
    70. AI research evidence record anthropic:c1
    71. AI research evidence record deepseek:c1

Verify This Research

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

Study date
September 27, 2026
Platforms analyzed
7
Source records
13
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#6

Research trail and source mix

Configured platforms

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

Source mix

2 independent · 8 company-owned · 3 unclear

Evidence support

8 direct · 5 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 a237dd8f6b891188483c6912df7a78d0dd775330f46d5fb026630155f9814fc8