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Promptwatch LLM Monitoring Platform Fit Review

Promptwatch is a good fit for a US marketing team that needs multi-platform AI-search visibility monitoring, prompt tracking, competitor comparison, citation analysis, and reporting exports.

Research: 2026-09-197 usable platform responsesRead the methodology ↗

Answer Capsule

Promptwatch is a good fit for a US marketing team that needs multi-platform AI-search visibility monitoring, prompt tracking, competitor comparison, citation analysis, and reporting exports. Two of seven platforms named Promptwatch during the ranking stage (openai, perplexity), at an average listed rank of 5.0 and a best rank of 3. The strongest reason to consider it is its combination of daily prompt-level tracking, citation and crawler-log analysis, and API/MCP reporting access at mid-tier pricing. The main limitation is that the reviewed evidence is predominantly company-owned, and public sources conflict on plan names, pricing, and how many models a project can track simultaneously.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (openai, perplexity)
Share of included platform responses28.6%
Average listed rank5.0
Best listed rank3
Relevant product/model/planAI visibility monitoring and optimization platform; Professional ($245/month) or Business ($579/month); legacy/agency "Growth" pricing requires verification
Overall use-case fitGood (openai, anthropic, grok, perplexity); Strong (google); Uncertain (deepseek, kimi)
Research date2026-09-19

Why Promptwatch Qualified for This Study

Questions This Section Answers

  • Is Promptwatch a good choice for LLM Monitoring Platforms in the United States?
  • Why did only two of seven AI platforms name Promptwatch during ranking discovery?

Promptwatch qualified because it is purpose-built for the stated use case — monitoring how AI answer systems discuss, cite, mention, and recommend a brand and its competitors — rather than being a general SEO or developer observability tool. It was named during ranking discovery by two of the seven included platforms, openai and perplexity, at ranks 7 and 3 respectively [1]. The other five platforms evaluated Promptwatch's fit but did not name it in their ranking lists, so its inclusion rests on a minority of platform responses.

The product's positioning matches all five category criteria: multi-platform coverage, prompt tracking, competitive analysis, historical data, and reporting. Promptwatch describes itself as an AI visibility and Generative Engine Optimization (GEO) platform that measures and improves how brands appear across AI-powered search and answer engines [3]. Independent directories describe the same scope, combining prompt tracking, brand visibility analytics, citation monitoring, competitor intelligence, AI crawler logs, conversion tracking, content gap analysis, and integrations [4].

One platform, kimi, reported a search void — no retrievable results for Promptwatch or promptwatch.com — and rated fit uncertain, raising the possibility of an indexing or naming mismatch rather than a product failure [5]. That finding is disclosed here rather than resolved, because the other six platforms retrieved company and third-party material.

The Product, Model, Plan, or Service Most Relevant to LLM Monitoring Platforms

Questions This Section Answers

  • Which Promptwatch plan should a buyer choose for multi-platform LLM monitoring with competitive analysis?
  • Does Promptwatch's Professional plan track all supported AI models at once, or only four?

The plan most relevant to this use case is the Professional tier at $245/month, with the Business tier at $579/month for larger prompt and response volumes. Platform responses converged on Professional or Business as the minimum entry point for competitive analysis, geo-level tracking, and crawler insights [6]. Google's response named the Professional Plan specifically as the relevant product [9].

The current public pricing page lists three self-serve tiers — Essential at $95/month, Professional at $245/month, and Business at $579/month — plus a custom tier [8]. Essential includes one project, four tracked models, 50 prompts, and 6,000 responses; Professional includes two projects, four tracked models, 150 prompts, and 18,000 responses; Business includes five projects, four tracked models, 350 prompts, and 42,000 responses [6].

A separate Promptwatch comparison page describes agency tiers named Kick-off, Growth, and Scale, including Growth at $399/month [10]. Several platform responses were given the "Growth plan or current enterprise plan" as the relevant product [11]. The current public pricing page does not show a Growth plan, so the applicable plan structure is unresolved and should be confirmed with the vendor before purchase.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Promptwatch does well for LLM monitoring?
  • Is Promptwatch's prompt tracking genuinely prompt-based rather than keyword-based?

Platforms broadly agreed on four capabilities: prompt-based tracking, multi-platform coverage, competitive benchmarking, and reporting or integration options. Agreement was strong but not unanimous, and most supporting citations trace back to Promptwatch-owned pages.

On prompt tracking, platforms agreed that Promptwatch monitors a controlled set of customer prompts over time and reports mentions, citations, sentiment, rankings, competitors, and response-level data [14]. Independent reviews describe the platform as built around actual prompts rather than keywords, with prompts configured inside Monitors and checked daily [16]. One review called the daily refresh cycle a significant differentiator versus tools that update monthly or weekly [18].

On coverage, Promptwatch states it tracks ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta Llama, DeepSeek, and other platforms [20]. Google's response counted 11 supported platforms including Grok and Meta Llama [23]. Independent reviews repeat the multi-engine claim [24].

On competitive analysis, platforms agreed that buyers can specify competitors and compare brand visibility, mentions, and share of voice across the same prompts, with competitor heatmaps and comparisons in dashboards and PDF reports [20]. Independent reviews describe Answer Gap analysis, which identifies prompts where competitors appear but the brand does not [28].

On reporting, platforms agreed that API and MCP access, scheduled PDF exports, and Data Studio integration are available, with API access documented on all plans including the free tier [30]. Promptwatch documents pulling visibility scores, prompts, responses, citations, and crawler data into warehouses, dashboards, client reporting, or alerting [30].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Do AI platforms disagree about Promptwatch's pricing and plan names?
  • How many AI models can a Promptwatch project track at once, and do sources agree?

Platforms disagreed or were uncertain on pricing, model limits, historical depth, and company verification. These conflicts are material to a purchase decision and are not resolved here.

Pricing conflicts are the most consistent disagreement. The current public pricing page lists Essential, Professional, and Business [33], while a Promptwatch comparison page describes agency tiers including Growth at $399/month [34]. Independent sources report starting prices between $75 and $99/month, and Professional pricing at either $245 or $249 depending on source [35]. Grok reported Essential at $95–99/month and annual pricing of $990, $2,490, and $5,790 for the three tiers [38]. Perplexity rated pricing confidence low, noting public sources disagree on tier names, prices, prompt limits, and response limits [39].

Model-limit conflicts are equally important. Current public plan tables show four tracked models per project on all three self-serve tiers [33], while the platform advertises a much larger supported catalog [42]. Google's response states that standard plans allow tracking four of 11 supported models simultaneously per project [43]. Anthropic's response states that Essential allows selection of four models while higher tiers track all supported models simultaneously [41] — a direct conflict with the plan table. Buyers should confirm the rule in writing.

Historical-data claims conflict in framing rather than fact. Promptwatch states there is no retention cutoff and that historical data is kept from the day the project started collecting, with no expiry on visibility, citation, prompt response, or crawler history [44]. Data pulls are limited to 90-day windows, so long histories come through in 90-day chunks [46]. An independent review notes that as a newer, early-stage platform, long-horizon historical reporting and trend data are limited compared to more established tools [47]. Both statements can be true at once: retention is unlimited going forward, but the platform has only existed since 2025.

Company-stage facts are reported inconsistently. Independent reviews place Promptwatch's founding in 2025 by Gijs de Groot and Klaas Foppen, based in Amsterdam, with a seed round in September 2025 [48]. The seed amount is reported as both $1.2M and approximately $1.4M [50]. Kimi could not verify the company at all [51]. Deepseek's research date was 2026-01-15, earlier than the authoritative run date, and its search was disabled, so its findings are platform-reported rather than retrieved [52].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Promptwatch cover all five LLM monitoring criteria: multi-platform coverage, prompt tracking, competitive analysis, historical data, and reporting?
  • What Promptwatch features support citation tracking and AI crawler analysis for LLM monitoring?

Promptwatch covers all five category criteria, with the strongest evidence for prompt tracking, competitive analysis, and reporting, and the weakest for simultaneous multi-platform coverage. The table below maps each criterion to the supplied findings.

CriterionAssessmentKey finding
Multi-platform coverageAdvantage, with a caveatStates coverage of ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta Llama, DeepSeek, and others; plan tables show four tracked models per project
Prompt trackingAdvantageControlled prompts tracked over time with mentions, citations, sentiment, rankings, and competitors; limits of 50/150/350 prompts by tier
Competitive analysisAdvantageCompetitor specification, share of voice, competitor heatmaps, and Answer Gap analysis
Historical dataMixedNo retention cutoff from project start; 90-day export windows; limited depth as an early-stage platform
ReportingAdvantageAPI and MCP access, scheduled PDF exports, Data Studio integration, GA4 and Search Console blending

Beyond the five criteria, Promptwatch offers citation tracking that identifies domains and URLs referenced within AI-generated answers, including third-party sources such as Reddit, YouTube, and news articles [53]. It also provides Agent Analytics, which tracks AI crawler activity and verifies crawler visits against each AI provider's published IP ranges, filtering out bots pretending to be ChatGPT, Claude, or Perplexity crawlers [56]. One independent review called crawler-log analytics and state/city-level tracking the features that turn visibility claims into proof [59].

Two capability limits are documented. Promptwatch focuses exclusively on AI search engines and does not track product recommendation engines, e-commerce recommendation systems, or content discovery platforms beyond AI search [60]. Answer Gap reports and crawler logs require SEO or technical expertise to interpret, and less experienced marketers may find the reports cryptic without additional context [62].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Promptwatch cost per month, and are there setup or cancellation fees?
  • What are Promptwatch's refund, renewal, and cancellation terms for a US marketing team?

Published self-serve pricing starts at $95/month for Essential, $245/month for Professional, and $579/month for Business, with annual billing controls shown but annual prices not disclosed on the reviewed page [65]. Annual billing is reported to yield roughly 17% savings, with annual prices of $990, $2,490, and $5,790 [66]. A 7-day free trial is advertised for Essential and Professional [65].

Contract terms come from the official terms page. Subscriptions are billed in advance on a recurring basis and automatically renew under the same conditions unless cancelled; cancellation is available through account settings or by contacting the company; paid fees are non-refundable except where required by law, with case-by-case refund discretion; and the company may modify subscription fees with prior notice, effective at the end of the then-current period (official:C3).

Additional costs are partially documented. Google's response lists extra seat at approximately $99/month, extra domain at approximately $99/month, and 50 extra prompts at approximately $60/month [70]. OpenAI's response found no separately stated API, MCP, model, or overage fees on the reviewed public pricing page, and noted it is unclear whether usage beyond listed prompt, response, or agent-credit limits is available or how it is charged [65]. Agent credits and content-generation allowances vary by plan and may affect ongoing usage economics [65].

Pricing confidence varies by platform: high for anthropic and google, moderate for openai and grok, and low for deepseek and perplexity [67]. The conflict between the current public tiers and the reported Growth tier at $399/month remains unresolved [74].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Promptwatch for LLM monitoring?
  • Is Promptwatch worth it for a marketing team tracking brand mentions across ChatGPT, Perplexity, and Google AI Overviews?

Promptwatch is best suited to marketing teams that want monitoring connected to action, at a mid-tier price, and that can absorb a newer vendor. Platform responses converged on this profile.

The best-fit buyer monitors brand visibility across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Claude, Gemini, Meta Llama, and other supported AI platforms [75]. They compare brand mentions, visibility, citations, sentiment, rankings, and competitors across controlled customer prompts [77]. They need dashboard reporting, PDF exports, API access, MCP access, crawler-log data, and AI-source or citation analysis [79]. They want content-gap identification and actionable Answer Gap reports [82]. They have a budget of $245/month or more and are willing to adopt a platform launched in 2025 [84].

One independent review positioned Promptwatch as mid-tier pricing with feature depth that punches above its weight [86]. Another noted that the platform stands out for a broader supported-model catalog and unique technical features like crawler log analysis [87].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Promptwatch for LLM monitoring?
  • Is Promptwatch a poor fit for agencies managing many clients or teams needing recommendation-engine tracking?

Promptwatch is probably not the best fit for buyers whose requirements fall outside AI-search visibility monitoring, or who need enterprise-grade validation and seat capacity. These limits are documented across multiple platform responses.

Buyers requiring a publicly documented current Growth plan should look elsewhere, because the current public pricing page lists Essential, Professional, and Business instead [88]. Teams requiring unlimited prompts or responses at a low fixed price will hit plan ceilings; one review noted that 50 prompts does not go far when covering multiple product categories or markets [89]. Buyers seeking strong independent third-party validation of measurement accuracy or customer outcomes will find the reviewed evidence predominantly Promptwatch-owned [88].

Agencies face seat friction. Seat limits are reported as one seat on Essential, two on Professional, and five on Business, versus competitors offering unlimited seats at comparable or lower entry prices [91]. One review stated the product works well for managing your own business but has not fully optimized for agency use cases [93]. Promptwatch's agency documentation also states there are no sub-accounts and no client billing [94].

Teams needing recommendation-engine coverage beyond AI search, multi-language monitoring at enterprise scale, or two or more years of historical trend data should weigh alternatives [95]. Non-technical marketing teams may struggle with Answer Gap and crawler-log interpretation [98].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Promptwatch for a buyer who needs unlimited seats or a lower entry price?
  • When should a buyer choose a different LLM monitoring platform instead of Promptwatch?

Another option may be better when the buyer's primary constraint is budget, seat count, language coverage, recommendation-engine scope, or enterprise procurement. Platform responses named specific alternatives and thresholds.

Budget under $95/month: competitors like Promptmonitor start at $29/month with comparable feature sets. Recommendation engines as the primary focus: Promptwatch is LLM/AI-search-only. Two or more years of historical AI visibility trends: Promptwatch data retention starts at project creation only. Agencies managing 10 or more simultaneous client accounts: unlimited-seat pricing models such as Mentions.so and Peec are more cost-effective. Extensive multi-language support: Peec AI offers 115+ languages, more than any competitor by a wide margin [100]. Less technical marketing teams: Limy.ai provides AI-driven recommendations and Scrunch AI offers more prescriptive guidance. White-label agency reporting: some competitors such as Nightwatch offer white-label features that Promptwatch does not explicitly mention.

Other platform responses added: buyers needing Microsoft Copilot coverage should consider Peec AI or Aiso; buyers needing broader engine coverage including Copilot should compare alternatives [101]; buyers needing verified SOC 2 or DPA documentation visible publicly before procurement should look at vendors that publish those artifacts; and buyers whose need is limited to classic search ranking without AI-answer monitoring would be better served by a traditional SEO rank-tracking tool. Buyers wanting to combine standard SEO keyword rankings and AI visibility in one tool may prefer SE Ranking or Nightwatch, and buyers needing enterprise LLM application monitoring such as prompt debugging, token usage, latency, and hallucination guardrails require traditional LLM observability tools instead.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Promptwatch before signing a contract?
  • Which Promptwatch plan details, limits, and terms need written confirmation before purchase?

The following questions come directly from platform responses and should be answered in writing before purchase. They are grouped by theme and are not resolved by the reviewed evidence.

Plan and coverage: Is the Growth plan still offered in the United States, and is it a brand, agency, legacy, or enterprise plan [102]? How many AI platforms and models can one project monitor simultaneously, and are Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Claude, and Gemini all included in the quoted plan [102]? Does the Professional plan enable tracking all models simultaneously or require selection of four [103]? Is Microsoft Copilot or additional models now supported [104]?

Limits and usage: Are prompt and response limits monthly hard caps, and what are the overage prices or upgrade rules [102]? What is the exact seat limit and user management interface for the Professional plan, and can multiple users from the same company access the same project [105]? What is the published SLA for prompt data refresh if a prompt fails to execute due to API rate limits or model outages ?

Data and reporting: How far back does historical data remain accessible, and can all prompts, responses, citations, competitors, and reports be exported [102]? Does the 90-day data pull window prevent quarterly or annual trend analysis, or is this limitation only for Data Studio exports [106]? Can Promptwatch historical data be exported or migrated if switching to another platform ?

Measurement and methodology: How are answer variance, localization, logged-out versus logged-in experiences, personalization, and model-version changes controlled [102]? How does the Answer Gap report define where competitors appear but the brand does not — citation count, mention presence, or position ranking [107]?

Commercial and legal: What are the annual-billing discount, renewal, cancellation, refund, data-retention, and deletion terms [102]? What security documentation, subprocessors, data-processing terms, SLA, and procurement support are available [102]? Does Promptwatch support white-label or custom-branded reporting for agency client delivery ?

Final AI Consensus Verdict

Promptwatch is a good fit for a US marketing team buying an LLM monitoring platform, with one platform rating it strong and four rating it good, and two rating it uncertain. The consensus rests on a clear match between the product's stated scope and the five category criteria: multi-platform coverage, prompt tracking, competitive analysis, historical data, and reporting [108].

The verdict is qualified. The reviewed evidence is predominantly company-owned, and independent verification of reported platform coverage, data quality, and customer outcomes is limited [108]. Public sources conflict on plan names, pricing, and model limits, and the Growth plan referenced in several platform responses does not appear on the current public pricing page [111]. One platform could not verify the company at all [112]. Purchase should be conditional on verifying the current plan structure, the four-model-per-project limitation, historical retention and export behavior, usage economics, and contractual terms.

How This Review Was Produced

This review was produced from seven platform fit-research responses collected for the LLM Monitoring Platforms use case, plus entity ranking statistics and an official-page evidence audit. Each platform evaluated Promptwatch against the same five criteria and returned a fit rating, strengths, limitations, pricing findings, and verification questions. Two of the seven platforms named Promptwatch during ranking discovery; all seven evaluated fit. The consensus index for this category is available at LLM Monitoring Platforms, and the broader directory is at ai visibility llm monitoring.

Platform responses were treated as platform-reported evidence, not verified facts. Company-owned pages were distinguished from independent reviews and directories throughout. Where platforms disagreed, the conflict is described rather than resolved. No personal testing, customer interviews, or independent measurement validation was performed for this review.

Methodology Limitations

Several limitations apply. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts, and no-search model claims require explicit verification before being described as current facts.

Platform-reported research dates differ from the authoritative run date of 2026-09-19. Deepseek's research date was 2026-01-15, and its search was disabled, so its findings are platform-reported rather than retrieved [113]. Platform-reported dates are provenance metadata and do not independently prove freshness.

Platform mentions count only platforms that named the entity during ranking discovery, not platforms that evaluated fit. Five of seven platforms evaluated Promptwatch without naming it in their ranking lists, so the mention count understates evaluation coverage and overstates nothing about product quality. AI-platform agreement does not prove product quality.

Material conflicts remain unresolved: the Growth plan versus the current Essential/Professional/Business structure [114]; four tracked models per project versus all models on higher tiers [115]; unlimited retention versus limited historical depth [117]; and seed funding reported at both $1.2M and approximately $1.4M [119]. Kimi's search void is disclosed as a platform-reported finding and was not independently investigated [120]. No pricing, contract, or capability claim in this review should be treated as confirmed without direct vendor verification.

Explore more ai visibility llm monitoring guidance in the category directory.

Sources

Company-Owned Sources

  • Argus — AI Agent Observability: https://argusapp.io/
  • Promptwatch — AI Visibility Monitoring and Optimization: https://promptwatch.com
  • Our list of 8 best GEO tools for AI visibility tracking and optimization | Promptwatch: https://promptwatch.com/blog/best-geo-tools
  • Promptwatch LLM Visibility Tools Blog Post: https://promptwatch.com/blog/llm-visibility-tools
  • Promptwatch vs Peec AI: Which Platform Is Better for AI Visibility?: https://promptwatch.com/blog/promptwatch-vs-peec-ai
  • Changelog | Promptwatch: https://promptwatch.com/changelog
  • Plans and billing - Promptwatch API Documentation: https://promptwatch.com/docs/academy/plans-and-billing
  • Data Studio Integration for AI Visibility Data | Promptwatch: https://promptwatch.com/features/data-studio
  • AI Prompt Tracking | Monitor Brand Mentions in AI Search | Promptwatch: https://promptwatch.com/features/prompt-tracking
  • Prompt Monitoring - AI Search & GEO Glossary: https://promptwatch.com/glossary/prompt-monitoring
  • REST API Integration | Promptwatch: https://promptwatch.com/integrations/rest-api
  • Pricing | Promptwatch - AI Visibility & GEO Platform: https://promptwatch.com/pricing
  • Syncreus - AI Quality Monitoring and HIPAA-Compliant LLM Observability: https://syncreus.com/
  • Generative AI Monitoring | Watchlog — LLM Observability & Hallucination Detection: https://watchlog.io/products/gen-ai-monitoring
  • Official pricing and terms source: https://promptwatch.com/terms-and-conditions
  • Additional AI research evidence120 records
    1. AI research evidence record openai:c1
    2. AI research evidence record perplexity:c1
    3. AI research evidence record anthropic:17-1
    4. AI research evidence record anthropic:17-3
    5. AI research evidence record kimi:search_void
    6. AI research evidence record anthropic:31-4
    7. AI research evidence record grok:web:1
    8. AI research evidence record openai:c1
    9. AI research evidence record google:2.3.1
    10. AI research evidence record openai:c5
    11. AI research evidence record deepseek:c1
    12. AI research evidence record perplexity:c3
    13. AI research evidence record kimi:search_void
    14. AI research evidence record openai:c2
    15. AI research evidence record anthropic:17-7
    16. AI research evidence record anthropic:44-3
    17. AI research evidence record anthropic:44-4
    18. AI research evidence record anthropic:44-6
    19. AI research evidence record anthropic:44-7
    20. AI research evidence record openai:c1
    21. AI research evidence record anthropic:3-10
    22. AI research evidence record anthropic:3-12
    23. AI research evidence record google:2.2.3
    24. AI research evidence record anthropic:13-3
    25. AI research evidence record anthropic:27-1
    26. AI research evidence record openai:c3
    27. AI research evidence record anthropic:17-11
    28. AI research evidence record anthropic:25-9
    29. AI research evidence record anthropic:25-10
    30. AI research evidence record openai:c4
    31. AI research evidence record anthropic:28-13
    32. AI research evidence record anthropic:35-11
    33. AI research evidence record openai:c1
    34. AI research evidence record openai:c5
    35. AI research evidence record anthropic:6-1
    36. AI research evidence record anthropic:4-7
    37. AI research evidence record google:1.2.2
    38. AI research evidence record grok:web:1
    39. AI research evidence record perplexity:c4
    40. AI research evidence record perplexity:c5
    41. AI research evidence record anthropic:2-9
    42. AI research evidence record anthropic:3-10
    43. AI research evidence record google:2.2.3
    44. AI research evidence record anthropic:28-2
    45. AI research evidence record anthropic:28-3
    46. AI research evidence record anthropic:28-8
    47. AI research evidence record anthropic:22-1
    48. AI research evidence record anthropic:15-5
    49. AI research evidence record anthropic:15-6
    50. AI research evidence record anthropic:2-7
    51. AI research evidence record kimi:search_void
    52. AI research evidence record deepseek:c1
    53. AI research evidence record anthropic:17-10
    54. AI research evidence record anthropic:44-11
    55. AI research evidence record anthropic:44-12
    56. AI research evidence record anthropic:17-12
    57. AI research evidence record anthropic:20-13
    58. AI research evidence record anthropic:20-14
    59. AI research evidence record anthropic:35-8
    60. AI research evidence record anthropic:42-15
    61. AI research evidence record anthropic:14-1
    62. AI research evidence record anthropic:25-14
    63. AI research evidence record anthropic:25-15
    64. AI research evidence record anthropic:5-3
    65. AI research evidence record openai:c1
    66. AI research evidence record grok:web:1
    67. AI research evidence record anthropic:31-4
    68. AI research evidence record anthropic:1-2
    69. AI research evidence record anthropic:33-1
    70. AI research evidence record google:2.2.2
    71. AI research evidence record google:2.3.1
    72. AI research evidence record deepseek:c1
    73. AI research evidence record perplexity:c4
    74. AI research evidence record openai:c5
    75. AI research evidence record openai:c1
    76. AI research evidence record anthropic:3-12
    77. AI research evidence record openai:c2
    78. AI research evidence record anthropic:17-11
    79. AI research evidence record openai:c4
    80. AI research evidence record anthropic:28-13
    81. AI research evidence record anthropic:35-11
    82. AI research evidence record anthropic:25-9
    83. AI research evidence record anthropic:25-10
    84. AI research evidence record anthropic:31-4
    85. AI research evidence record anthropic:15-5
    86. AI research evidence record anthropic:4-7
    87. AI research evidence record anthropic:2-13
    88. AI research evidence record openai:c1
    89. AI research evidence record anthropic:34-1
    90. AI research evidence record anthropic:17-1
    91. AI research evidence record anthropic:29-8
    92. AI research evidence record anthropic:36-1
    93. AI research evidence record anthropic:36-2
    94. AI research evidence record perplexity:c3
    95. AI research evidence record anthropic:42-15
    96. AI research evidence record anthropic:29-10
    97. AI research evidence record anthropic:22-1
    98. AI research evidence record anthropic:25-14
    99. AI research evidence record anthropic:25-15
    100. AI research evidence record anthropic:29-10
    101. AI research evidence record grok:web:3
    102. AI research evidence record openai:c1
    103. AI research evidence record anthropic:2-9
    104. AI research evidence record grok:web:3
    105. AI research evidence record anthropic:29-8
    106. AI research evidence record anthropic:28-8
    107. AI research evidence record anthropic:25-9
    108. AI research evidence record openai:c1
    109. AI research evidence record anthropic:17-3
    110. AI research evidence record google:2.3.1
    111. AI research evidence record openai:c5
    112. AI research evidence record kimi:search_void
    113. AI research evidence record deepseek:c1
    114. AI research evidence record openai:c5
    115. AI research evidence record openai:c1
    116. AI research evidence record anthropic:2-9
    117. AI research evidence record anthropic:28-2
    118. AI research evidence record anthropic:22-1
    119. AI research evidence record anthropic:2-7
    120. AI research evidence record kimi:search_void

Independent Sources

Verify this research

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

Study date
September 19, 2026
Platforms analyzed
7
Source records
40
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#7

Research trail and source mix

Configured platforms

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

Source mix

23 independent · 17 company-owned

Evidence support

36 direct · 4 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 30e99e9ce2a3b3a53c6e7ff355adfd27becedc2b4e03746ae404b885d2c080af