AI Consensus Fit Review

SafePath EZ Edge Rubber Threshold Ramp for Residential Wheelchair Accessibility - AI Consensus Fit Review

The SafePath EZ Edge Rubber Threshold Ramp is a good-to-strong fit for Residential Wheelchair Accessibility, specifically for low doorway and threshold transitions up to approximately 3 inches.

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Answer Capsule

The SafePath EZ Edge Rubber Threshold Ramp is a good-to-strong fit for Residential Wheelchair Accessibility, specifically for low doorway and threshold transitions up to approximately 3 inches. Two of seven AI platforms named it during the ranking stage (Google ranked it #2, Grok ranked it #1), giving it a 28.6% platform share and an average listed rank of 1.5. The strongest reason to consider it: it is a preformed, weather-resistant recycled-rubber ramp that installs in under 30 minutes without permanent structural modification, with no stated weight limit and a 10-year guarantee. The main limitation: the 1-inch model's approximately 1:10 slope is steeper than the ADA's 1:12 maximum running slope for ramp runs, so buyers should not assume universal ADA compliance without verifying actual geometry and installation conditions.

Research Snapshot

MetricValue
Platform mentions in ranking stage2 of 7 (Google, Grok)
Share of included platform responses28.6%
Average listed rank1.5
Best listed rank1 (Grok)
Relevant product/model/planEZEdge Smooth Rubber Threshold Ramp, model MRAEZ1150 (1" rise)
Overall use-case fitGood to strong for low thresholds; mixed-to-uncertain for full entryway access
Research date2026-08-13

Why SafePath EZ Edge Rubber Threshold Ramp Qualified for This Study

The SafePath EZ Edge Rubber Threshold Ramp qualified because it directly addresses the category criteria for residential wheelchair accessibility: weight rating, slope gradient/ADA compliance, weather durability, threshold clearance height, and ease of home installation. The product is purpose-built for short threshold transitions rather than requiring custom-built ramps [1]. It was named by Google and Grok during the ranking stage, with Google ranking it #2 and Grok ranking it #1. The remaining five platforms (OpenAI, Anthropic, DeepSeek, Kimi, Perplexity) evaluated it for fit but did not name it during ranking discovery.

The Product, Model, Plan, or Service Most Relevant to Residential Wheelchair Accessibility

The most relevant product is the EZEdge Smooth Rubber Threshold Ramp, specifically model MRAEZ1150 designed for a 1-inch rise. This model is listed at approximately 10 inches in length (ramp depth) and 46 inches in width [3]. The EZEdge series is available for vertical rises from 1/2 inch up to 3 inches in 1/4-inch increments [5]. One source notes a maximum rise of 2.75 inches for some models, while SafePath and Reliable Ramps state 3 inches as the maximum [5]. The product is made from 100% recycled tire rubber [7].

What the AI Platforms Agreed About

Strong agreement: The product is a good fit for low threshold transitions. Six of seven platforms rated the fit as good or strong (Anthropic: strong, Google: strong, Grok: strong, OpenAI: good, DeepSeek: good, Kimi: mixed). Perplexity rated it uncertain due to insufficient verified evidence.

Strong agreement: Installation is simple and does not require permanent modification. Multiple platforms noted that installation takes less than 30 minutes, requires no drilling or fasteners, and can be completed with adhesive on concrete, asphalt, wood, tile, VCT flooring, and marble surfaces [8]. The rubber can be cut with a utility knife for custom fitting around door jambs [9].

Strong agreement: The product is weather-resistant. The ramp is made from recycled rubber that resists fading, cracking, UV damage, and freezing [11]. Retailers describe it as slip-resistant and suitable for harsh weather [13].

Majority agreement: No weight limitation. Google, Grok, and Anthropic all reported that the EZEdge series has no stated weight limit and can accommodate heavy power chairs and scooters [10]. However, DeepSeek reported a 300-pound rating, creating a factual conflict [17].

Majority agreement: 10-year guarantee. SafePath's official site and multiple retailers cite a 10-year guarantee [18]. One distributor displays a 3-year warranty, creating a minor discrepancy [20].

Majority agreement: Multiple size options. The series covers rises from 1/2 inch to 3 inches in 1/4-inch increments, with various widths available [21].

Where the AI Platforms Disagreed or Were Uncertain

Slope/ADA compliance is the central conflict. Google and Grok reported that the ramps comply with ADA regulations with a 1:12 slope [24]. Anthropic reported slopes under 7.5% meeting ADA requirements [27]. However, OpenAI calculated that MRAEZ1150's listed 1-inch rise over approximately 10 inches of length is about 1:10, steeper than the 1:12 maximum running slope specified for ADA ramp runs [29]. DeepSeek reported approximately 1:8 slope for a 1-inch rise [32]. Kimi noted that threshold ramps inherently cannot meet 1:12 slope for their compact footprint but may be acceptable for very small rises under ADA exceptions [33]. Buyers should verify the actual geometry against applicable standards.

Weight rating is disputed. Google, Grok, and Anthropic report no weight limitations [24]. DeepSeek reports a 300-pound rating [32]. OpenAI notes that the manufacturer's catalog identifies product weight rather than a quantified maximum user-and-device load [29]. Kimi could not find a specific weight capacity [37].

Product weight varies by listing. SafePath's catalog shows 11 pounds for MRAEZ1150, while other listings show 10 or 13 pounds [36]. Google reports weights ranging from 12 pounds for a 1-inch rise up to over 90 pounds for taller 3-inch models [38].

Maximum rise is disputed. Most sources state 3 inches maximum [39]. One source (Discount Ramps) states 2.75 inches maximum [38]. Kimi states 6 inches maximum [33].

Warranty duration varies. SafePath's official specifications cite a 10-year guarantee [24]. Some distributors display a 3-year warranty [38].

Customer review evidence is limited. One retailer shows an average rating of 3.8 out of 5.0 from 6 reviews, with comments noting the product is heavy and sturdy but difficult to shape to some door frames [43].

Use-Case-Specific Features and Capabilities

Weight rating. The EZEdge series is described by Google, Grok, and Anthropic as having no weight limitations, accommodating heavy power wheelchairs, bariatric chairs, and mobility scooters [44]. DeepSeek reports a 300-pound rating [47]. OpenAI notes no numeric maximum load is stated in the manufacturer's catalog [48]. This conflict should be resolved with the manufacturer before purchase.

Slope gradient/ADA compliance. Google reports the ramps comply with ADAAG Sections 4.2.5 and 4.8.2 with a 1:12 slope and side/back bevel cuts [44]. Grok reports 1-inch-in-12-inch slope with some models at 1-inch-in-20-inch [45]. Anthropic reports slopes under 7.5% [52]. OpenAI calculates approximately 1:10 for MRAEZ1150 [48]. DeepSeek calculates approximately 1:8 [47]. The 2010 ADA Standards specify a maximum running slope of 1:12 for ramp runs [53]. The Access Board provides guidance on threshold height and beveling requirements [54].

Threshold clearance height. Available for rises from 1/2 inch to 3 inches in 1/4-inch increments [55]. MRAEZ1150 handles a 1-inch rise with 10-inch depth and 46-inch width [48]. One distributor describes it as compatible with 3-foot doors [48].

Weather durability. Made from 100% recycled tire rubber that will not fade, crack, or deteriorate [56]. UV-stable and resistant to freezing [57]. Slip-resistant in wet conditions [44]. Does not rust, bend, or corrode [44]. Independent long-term durability evidence is limited [48].

Ease of home installation. Installation takes less than 30 minutes with no drilling or fasteners required [59]. Works on concrete, asphalt, wood, tile, VCT, and marble [59]. Can be cut with a utility knife for custom fitting [60]. Requires clean, dry surface preparation and clear silicone adhesive [61]. Ramps 60 inches and above ship in two 30-inch sections with a slight seam [62].

Surface traction. Textured rubber surface with beveled sides for approach from multiple angles [63]. Retailers claim the "highest anti-slip rating on the market," but no independent certification was found [63].

Pricing, Fees, Contracts, and Ongoing Costs

Known costs for MRAEZ1150 (1-inch rise):

  • $109.99 to $150.00 across distributors [65]
  • $91.77 to $134.99 per Google's research [67]
  • Historical 2019 price: $91.77 [68]

Other model pricing:

  • MRAEZ0010 (1/2" rise): approximately $54.99 to $66.00 [67]
  • MRAEZ2100 (2" rise): approximately $239.99 [67]
  • Taller and wider assemblies range upward of $350.00 [67]
  • DeepSeek estimates $50–$150 depending on model [69]
  • Kimi estimates $30–$100 for small rises [70]

Additional fees:

  • Specialized clear silicone adhesive may be required [67]
  • Oversized or heavy-shipping fees for wider two-piece configurations [67]
  • Shipping to Alaska, Hawaii, Puerto Rico, and international addresses may incur additional fees [71]
  • Residential, limited-access, and lift-gate fees may apply [71]

Contracts and terms:

  • No subscription or recurring service fee identified [65]
  • 10-year manufacturer's guarantee [72]
  • Return policies vary by distributor, typically 14-day or 30-day windows for unused items [67]
  • No contract or cancellation terms identified [65]

Pricing confidence: Low to moderate. Exact current pricing varies by model, seller, and date. Manufacturer-direct pricing was not clearly available from the official website during research [74].

Best Suited For

  • Exterior and interior door thresholds up to approximately 1 inch (MRAEZ1150) or up to 3 inches (other models) [75]
  • Patio doors, sliding-door transitions, and roll-in showers [77]
  • Wheelchair, power-chair, scooter, walker, and rollator users needing a short transition [75]
  • Caregivers seeking a preformed rubber ramp without structural construction [75]
  • Renters seeking non-permanent solutions [78]
  • Budget-conscious purchases compared to aluminum ramps or renovation alternatives [76]
  • Environmentally conscious buyers valuing 100% recycled rubber construction [80]
  • Indoor and covered entry thresholds where easy placement matters [81]

Probably Not Best Suited For

  • Thresholds exceeding 3 inches (or 2.75 inches per one source) [82]
  • Full entryway access requiring extended ramp runs for steps, porches, or decks [84]
  • Users needing verified, user-specific load testing or a formally documented accessibility installation [86]
  • Frequent portable or travel use — the dense rubber is heavy and designed to stay in a fixed location [83]
  • Applications requiring permanent structural modifications [88]
  • Doorways where the ramp would interfere with door swing, maneuvering clearance, drainage, or surface stability [86]
  • Users who cannot tolerate slight seams between two-piece ramps (60 inches and above) [89]
  • Aesthetic-critical installations where solid rubber may appear bulky [82]

When Another Option May Be Better

  • A shallower 1:12 or less slope is required and sufficient space is available — consider longer modular aluminum ramps [90]
  • The rise exceeds 3 inches — consider SafePath's BigHorn Ramps or modular systems [92]
  • The buyer needs a full entrance ramp, level landing, handrails, edge protection, or a designed accessible route [90]
  • The buyer needs a documented load rating, adjustable height, or a lighter portable aluminum solution [90]
  • The doorway has unusual geometry, drainage problems, or insufficient maneuvering clearance [90]
  • Frequent relocation is needed — folding or portable suitcase-style ramps may be more practical [92]
  • Adhesive-based installation is not viable due to unsealed concrete, moisture, or uneven floors [92]
  • Budget is extremely limited — less expensive foam or EVA ramps exist, though with lower durability [92]

Questions to Verify Before Buying

  1. What is the manufacturer's tested maximum combined load for the user, wheelchair, scooter, and caregiver if applicable? [95]
  2. Does SafePath certify the specific model and installation as ADA compliant, or is the ADA wording only a retailer characterization? [95]
  3. What is the exact measured rise, usable ramp length, and resulting slope at the buyer's threshold? [95]
  4. Will the ramp remain stable without adhesive, and what adhesive or anchoring method is recommended for the actual floor surface? [95]
  5. Can the door open fully over the ramp, and is adequate maneuvering and landing space available on both sides? [95]
  6. Is the rubber formulation rated for the buyer's expected exposure to rain, snow, ice, sunlight, and temperature extremes? [95]
  7. What warranty, return, replacement, shipping, and damage-claim terms apply through the chosen seller? [95]
  8. Are the ramp width, beveled edges, and door-jamb cutouts compatible with the specific doorway and mobility device? [95]
  9. For wide installations (over 60 inches), is the two-piece seam acceptable, or does it create an unacceptable trip hazard? [97]
  10. Does cutting the ramp to fit void any warranty? [98]
  11. What is the exact weight of the specific model needed, and will handling be manageable? [99]
  12. Is local building code or HOA approval needed for threshold placement? [100]

Final AI Consensus Verdict

The SafePath EZ Edge Rubber Threshold Ramp is a good-to-strong fit for residential wheelchair accessibility when the need is limited to low doorway and threshold transitions up to approximately 3 inches. The AI platforms agreed on its core strengths: simple preformed construction, multiple size options, broad width configurations, weather-resistant recycled rubber, no stated weight limit (per most platforms), quick installation without permanent modification, and a 10-year guarantee.

The principal purchasing caution is slope. The MRAEZ1150's listed 1-inch rise over approximately 10 inches of length is about 1:10, which is steeper than the 1:12 maximum running slope generally specified for ADA ramp runs [101]. Buyers should not rely on generic "ADA-compliant" labeling without verifying the actual geometry, applicable standards, and installation conditions.

The product is not a complete home-accessibility solution. It does not address door hardware, maneuvering clearance, landing space, uneven approaches, or other accessibility barriers [101]. Buyers needing a full accessible route, higher rise, formally documented load capacity, or a shallower slope should consider another product or a custom solution.

For the narrow, specific use case of bridging a low residential threshold for wheelchair access, the SafePath EZ Edge Rubber Threshold Ramp is a reasonable, low-cost, low-effort option. For broader accessibility needs, it is not sufficient.

How This Review Was Produced

This review was produced by aggregating fit-research responses from seven AI platforms: OpenAI, Anthropic, DeepSeek, Grok, Perplexity, Kimi, and Google. Each platform evaluated the SafePath EZ Edge Rubber Threshold Ramp against five category criteria: weight rating, slope gradient/ADA compliance, weather durability, threshold clearance height, and ease of home installation. The authoritative research date is 2026-08-13. Platform-reported research dates differ: DeepSeek's response is dated 2026-04-10, while all other platforms are dated 2026-08-13; this is disclosed as a methodology limitation.

The evidence base includes 21 deduplicated sources: 16 independent sources (retailers, directories, government standards, and reviews) and 5 company-owned sources (SafePath's official website, product pages, and catalog). The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Methodology Limitations

  • Platform agreement does not prove product quality. The consensus described here reflects what AI platforms reported from their research, not independent testing or user verification.
  • Factual conflicts remain unresolved. Weight rating (no limit vs. 300 pounds), slope (1:8, 1:10, or 1:12), maximum rise (2.75 vs. 3 inches), and warranty duration (3 vs. 10 years) differ across sources. These conflicts are described rather than resolved.
  • Pricing is time-sensitive. Observed prices range from $54.99 to $350+ depending on model and seller, with low-to-moderate confidence. Manufacturer-direct pricing was not clearly available.
  • Independent long-term durability evidence is limited. Weather-resistance and slip-resistance claims are primarily product or seller claims, not independently verified.
  • Customer review evidence is thin. Only one retailer's review set (3.8/5.0 from 6 reviews) was identified.
  • Platform research dates differ. DeepSeek's response predates the authoritative run date by approximately four months.
  • The supplied URLs were not independently validated by the writer stage.

Explore more home safety guidance in the category directory.

Sources

Company-Owned Sources

  • SafePath Products | ADA Threshold Ramp Manufacturer | Recycled Rubber Ramps USA: https://safepathproducts.com/
  • Buy SafePath EZ Edge Rubber Threshold Ramps Online - SafePath Products: https://safepathproducts.com/ez-edge-transitions-wheelchair-ramps/
  • Additional AI research evidence102 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record openai:c1
    4. AI research evidence record openai:c2
    5. AI research evidence record anthropic:c4
    6. AI research evidence record anthropic:c5
    7. AI research evidence record anthropic:c6
    8. AI research evidence record anthropic:c8
    9. AI research evidence record anthropic:c9
    10. AI research evidence record google:c1
    11. AI research evidence record anthropic:c6
    12. AI research evidence record anthropic:c7
    13. AI research evidence record openai:c1
    14. AI research evidence record openai:c6
    15. AI research evidence record grok:c1
    16. AI research evidence record anthropic:c3
    17. AI research evidence record deepseek:c1
    18. AI research evidence record anthropic:c14
    19. AI research evidence record anthropic:c15
    20. AI research evidence record google:c4
    21. AI research evidence record anthropic:c4
    22. AI research evidence record grok:c2
    23. AI research evidence record openai:c2
    24. AI research evidence record google:c1
    25. AI research evidence record google:c2
    26. AI research evidence record grok:c1
    27. AI research evidence record anthropic:c1
    28. AI research evidence record anthropic:c2
    29. AI research evidence record openai:c1
    30. AI research evidence record openai:c3
    31. AI research evidence record openai:c4
    32. AI research evidence record deepseek:c1
    33. AI research evidence record kimi:c2
    34. AI research evidence record kimi:c3
    35. AI research evidence record anthropic:c3
    36. AI research evidence record openai:c2
    37. AI research evidence record kimi:c1
    38. AI research evidence record google:c4
    39. AI research evidence record anthropic:c4
    40. AI research evidence record anthropic:c5
    41. AI research evidence record grok:c2
    42. AI research evidence record anthropic:c14
    43. AI research evidence record anthropic:c13
    44. AI research evidence record google:c1
    45. AI research evidence record grok:c1
    46. AI research evidence record anthropic:c3
    47. AI research evidence record deepseek:c1
    48. AI research evidence record openai:c1
    49. AI research evidence record openai:c2
    50. AI research evidence record google:c2
    51. AI research evidence record grok:c2
    52. AI research evidence record anthropic:c1
    53. AI research evidence record openai:c3
    54. AI research evidence record openai:c4
    55. AI research evidence record anthropic:c4
    56. AI research evidence record anthropic:c6
    57. AI research evidence record anthropic:c7
    58. AI research evidence record openai:c6
    59. AI research evidence record anthropic:c8
    60. AI research evidence record anthropic:c9
    61. AI research evidence record google:c4
    62. AI research evidence record anthropic:c12
    63. AI research evidence record anthropic:c10
    64. AI research evidence record anthropic:c11
    65. AI research evidence record openai:c1
    66. AI research evidence record openai:c5
    67. AI research evidence record google:c4
    68. AI research evidence record anthropic:c13
    69. AI research evidence record deepseek:c1
    70. AI research evidence record kimi:c1
    71. AI research evidence record anthropic:c3
    72. AI research evidence record anthropic:c14
    73. AI research evidence record anthropic:c15
    74. AI research evidence record openai:c2
    75. AI research evidence record openai:c1
    76. AI research evidence record anthropic:c4
    77. AI research evidence record google:c1
    78. AI research evidence record kimi:c1
    79. AI research evidence record kimi:c2
    80. AI research evidence record anthropic:c6
    81. AI research evidence record perplexity:c1
    82. AI research evidence record anthropic:c4
    83. AI research evidence record google:c4
    84. AI research evidence record kimi:c2
    85. AI research evidence record kimi:c3
    86. AI research evidence record openai:c1
    87. AI research evidence record perplexity:c1
    88. AI research evidence record grok:c1
    89. AI research evidence record anthropic:c12
    90. AI research evidence record openai:c1
    91. AI research evidence record kimi:c4
    92. AI research evidence record anthropic:c4
    93. AI research evidence record kimi:c2
    94. AI research evidence record google:c4
    95. AI research evidence record openai:c1
    96. AI research evidence record google:c4
    97. AI research evidence record anthropic:c12
    98. AI research evidence record anthropic:c4
    99. AI research evidence record anthropic:c13
    100. AI research evidence record kimi:c1
    101. AI research evidence record openai:c1
    102. AI research evidence record openai:c3

Independent Sources

  • EZ Edge Rubber Threshold Ramp - Accessible Construction: https://accessibleconstruction.com/products/ezedge-transition-wheelchair-ramps
  • SafePath EZ Edge Rubber Threshold Ramps - HandiRamp: https://handiramp.com/product/safepath-ez-edge-rubber-threshold-ramps/
  • Safepath EZ Edge Transition Rubber Threshold Ramp - MedMart Online: https://medmartonline.com/safepath-ez-edge-transition-rubber-threshold-ramp
  • SafePath - EZ Edge Transition Rubber Threshold Ramp - 46" Width - Reliable Ramps: https://reliableramps.com/products/safepath-ez-edge-transition-rubber-threshold-ramp-46-length-mraez1150
  • 2010 ADA Standards for Accessible Design: https://www.ada.gov/law-and-regs/design-standards/2010-stds/
  • SafePath EZ Edge Rubber Threshold Ramp - Amazon.com: https://www.amazon.com/Edge-Transition-Rubber-Threshold-Ramp/dp/B01N10W114
  • EZ Edge Transition Rubber Threshold Mobility Ramp | SafePath: https://www.discountramps.com/
  • 10 in. L x 46 in. W x 1 in. H SafePath EZ Edge Threshold Ramp: https://www.mobilitymart.com/wheelchair-ramps/threshold/rubber/p/mraez1150/
  • Residential Wheelchair Ramps | Next Day Access: https://www.nextdayaccess.com/residential/ramps/
  • SafePath EZEdge Smooth Rubber Threshold Ramp - Rehabmart.com: https://www.rehabmart.com/
  • Portable vs. Permanent Wheelchair Ramp: Which Is Right for You? (2026) | SafeAtHome Guide: https://www.safeathomeguides.com/guides/portable-vs-permanent-ramp
  • SafePath EZ Edge Transition Rubber Threshold Ramp for Wheelchairs or Scooters - Vitality Medical: https://www.vitalitymedical.com/ez-edge-threshold-ramp.html
  • Additional AI research evidence102 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record openai:c1
    4. AI research evidence record openai:c2
    5. AI research evidence record anthropic:c4
    6. AI research evidence record anthropic:c5
    7. AI research evidence record anthropic:c6
    8. AI research evidence record anthropic:c8
    9. AI research evidence record anthropic:c9
    10. AI research evidence record google:c1
    11. AI research evidence record anthropic:c6
    12. AI research evidence record anthropic:c7
    13. AI research evidence record openai:c1
    14. AI research evidence record openai:c6
    15. AI research evidence record grok:c1
    16. AI research evidence record anthropic:c3
    17. AI research evidence record deepseek:c1
    18. AI research evidence record anthropic:c14
    19. AI research evidence record anthropic:c15
    20. AI research evidence record google:c4
    21. AI research evidence record anthropic:c4
    22. AI research evidence record grok:c2
    23. AI research evidence record openai:c2
    24. AI research evidence record google:c1
    25. AI research evidence record google:c2
    26. AI research evidence record grok:c1
    27. AI research evidence record anthropic:c1
    28. AI research evidence record anthropic:c2
    29. AI research evidence record openai:c1
    30. AI research evidence record openai:c3
    31. AI research evidence record openai:c4
    32. AI research evidence record deepseek:c1
    33. AI research evidence record kimi:c2
    34. AI research evidence record kimi:c3
    35. AI research evidence record anthropic:c3
    36. AI research evidence record openai:c2
    37. AI research evidence record kimi:c1
    38. AI research evidence record google:c4
    39. AI research evidence record anthropic:c4
    40. AI research evidence record anthropic:c5
    41. AI research evidence record grok:c2
    42. AI research evidence record anthropic:c14
    43. AI research evidence record anthropic:c13
    44. AI research evidence record google:c1
    45. AI research evidence record grok:c1
    46. AI research evidence record anthropic:c3
    47. AI research evidence record deepseek:c1
    48. AI research evidence record openai:c1
    49. AI research evidence record openai:c2
    50. AI research evidence record google:c2
    51. AI research evidence record grok:c2
    52. AI research evidence record anthropic:c1
    53. AI research evidence record openai:c3
    54. AI research evidence record openai:c4
    55. AI research evidence record anthropic:c4
    56. AI research evidence record anthropic:c6
    57. AI research evidence record anthropic:c7
    58. AI research evidence record openai:c6
    59. AI research evidence record anthropic:c8
    60. AI research evidence record anthropic:c9
    61. AI research evidence record google:c4
    62. AI research evidence record anthropic:c12
    63. AI research evidence record anthropic:c10
    64. AI research evidence record anthropic:c11
    65. AI research evidence record openai:c1
    66. AI research evidence record openai:c5
    67. AI research evidence record google:c4
    68. AI research evidence record anthropic:c13
    69. AI research evidence record deepseek:c1
    70. AI research evidence record kimi:c1
    71. AI research evidence record anthropic:c3
    72. AI research evidence record anthropic:c14
    73. AI research evidence record anthropic:c15
    74. AI research evidence record openai:c2
    75. AI research evidence record openai:c1
    76. AI research evidence record anthropic:c4
    77. AI research evidence record google:c1
    78. AI research evidence record kimi:c1
    79. AI research evidence record kimi:c2
    80. AI research evidence record anthropic:c6
    81. AI research evidence record perplexity:c1
    82. AI research evidence record anthropic:c4
    83. AI research evidence record google:c4
    84. AI research evidence record kimi:c2
    85. AI research evidence record kimi:c3
    86. AI research evidence record openai:c1
    87. AI research evidence record perplexity:c1
    88. AI research evidence record grok:c1
    89. AI research evidence record anthropic:c12
    90. AI research evidence record openai:c1
    91. AI research evidence record kimi:c4
    92. AI research evidence record anthropic:c4
    93. AI research evidence record kimi:c2
    94. AI research evidence record google:c4
    95. AI research evidence record openai:c1
    96. AI research evidence record google:c4
    97. AI research evidence record anthropic:c12
    98. AI research evidence record anthropic:c4
    99. AI research evidence record anthropic:c13
    100. AI research evidence record kimi:c1
    101. AI research evidence record openai:c1
    102. AI research evidence record openai:c3

Verify this research

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
#4

Research trail and source mix

Platforms

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

Source mix

16 independent · 5 company-owned

Evidence support

16 direct · 3 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 a49266756d36c07c268317fbb1778224a169a1a853c756da51ea09cc481a9365