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AI Consensus Fit Review

SE Ranking AI Visibility Platform Fit Review for B2B Companies

SE Ranking is a good fit for B2B marketing and revenue teams that already run SEO workflows and want prompt-level AI visibility, competitor comparisons, citation intelligence, and historical tracking in the same subscription.

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

Answer Capsule

SE Ranking is a good fit for B2B marketing and revenue teams that already run SEO workflows and want prompt-level AI visibility, competitor comparisons, citation intelligence, and historical tracking in the same subscription. Two of the seven platforms in this study named SE Ranking during ranking discovery, at an average listed rank of 6.0 and a best rank of 5. Its strongest advantage is bundling AI-answer monitoring with a mature SEO suite at a lower entry cost than dedicated AI-visibility tools. The main limitation is that AI visibility is an add-on to an SEO platform, not a purpose-built B2B revenue-attribution system, and engine coverage, refresh cadence, and pricing vary by packaging.

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7
Share of included platform responses28.6%
Average listed rank6.0
Best listed rank5
Relevant product/model/planSE Ranking Core or Growth subscription with the AI Search add-on (AI Results Tracker and SE Visible), or standalone SE Visible
Overall use-case fitGood (three platforms rated good; four rated mixed)
Research date2026-09-19

Why SE Ranking Qualified for This Study

Questions This Section Answers

  • Is SE Ranking a good choice for AI Visibility Platforms for B2B Companies?
  • How many AI platforms named SE Ranking in this study, and at what rank?

SE Ranking qualified because two of the seven included platforms, DeepSeek and OpenAI, named it during ranking discovery, meeting the two-mention threshold for inclusion [1]. Its listed ranks were 7 (DeepSeek) and 5 (OpenAI), producing an average of 6.0 and a best rank of 5. It did not appear in the ranking-stage responses from Anthropic, Google, Grok, Kimi, or Perplexity, though all seven platforms evaluated its fit once it was included.

The entity is a company-level software platform, and the relevant configuration is a Core or Growth subscription with the AI Search add-on, which includes the AI Results Tracker and SE Visible [3]. Fit ratings split: Anthropic, Google, and OpenAI rated it a good fit; DeepSeek, Grok, Kimi, and Perplexity rated it mixed. That split is the central finding of this review, and it tracks a single disagreement: whether the SEO-suite bundling is an advantage or a limitation for AI-first B2B buyers.

The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for B2B Companies

Questions This Section Answers

  • Which SE Ranking plan should a B2B buyer choose for prompt-level AI visibility tracking?
  • Is SE Ranking's AI visibility capability a standalone product or an add-on to an SEO subscription?

The relevant purchase is a Core or Growth subscription plus the AI Search add-on, or the standalone SE Visible product. SE Ranking's AI visibility capability is delivered through two surfaces that platforms described inconsistently, and buyers should confirm which one they are buying.

The AI Results Tracker supports prompt tracking across major AI platforms with prompt-level visibility analysis [5]. AI Search in Competitive Research compares a domain against competitors across AI engines, identifies missing prompts and topics, and supports prompt-level review of answers and cited sources, with a documented workflow for up to five competitors [6]. SE Visible supports citations, competitor comparison, sentiment, historical tracking, sharing, API access, and Data Studio connectivity [8]. Customers with the AI Search add-on get full access to SE Visible at no extra cost, according to SE Ranking's own FAQ [9].

Platforms disagreed on engine coverage. OpenAI reported that public documentation identifies Google AI Overviews, Google AI Mode, ChatGPT, Gemini, and Perplexity as supported [10]. Anthropic reported that SE Visible launched with ChatGPT and Google AI Mode only, with Perplexity, Gemini, and Claude on the roadmap [11]. Kimi reported that SE Visible supports ChatGPT, Perplexity, Gemini, AI Overviews, and Google AI Mode, with Claude listed as "will be added soon" [12]. Google reported coverage of Google AI Overviews, Google AI Mode, Gemini, ChatGPT, and Perplexity [13]. These accounts conflict, and the conflict is unresolved in the supplied evidence.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree SE Ranking does well for B2B AI visibility tracking?
  • Does SE Ranking provide competitor analysis and citation intelligence for B2B buying-journey prompts?

Platforms broadly agreed on four capabilities: prompt-level tracking, competitor comparison, citation and source intelligence, and historical monitoring. Agreement here describes what the platforms reported, not independently verified product quality.

On prompt-level tracking, OpenAI reported that the AI Results Tracker uses user-defined prompts and reports brand mentions, links, positions, competitors, and answer context [14]. Grok reported daily or weekly tracking of custom prompts across ChatGPT, Perplexity, Gemini, AI Overviews, and AI Mode with mention, position, and sentiment metrics [16]. Kimi reported prompt-level tracking of brand mentions, sentiment, competitor mentions, and source citations, with custom prompts organized by topic [19].

On competitor analysis, OpenAI reported comparison against up to five competitors with missing-prompt and missing-topic identification [20]. Anthropic reported citation frequency and average position tracking for competitor domains [22]. Google reported side-by-side share-of-voice monitoring of top-cited competitor domains [24].

On citation intelligence, OpenAI reported cited domains and URLs, source coverage, citation order, source-page brand mentions, and competitor-only sources [14]. Google reported full cached snapshots of generative answers mapping exact cited URLs and domains [28]. Perplexity reported source data for domains and URLs featured in AI answers plus cached answer copies [30].

On historical tracking, OpenAI reported historical AI visibility views for mentions, links, positions, sources, competitors, and cached answers, with availability dependent on project or prompt creation and plan limits [14]. Anthropic reported that the Growth plan includes historical data while the Core plan does not [32]. This tier distinction is a material buying consideration.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Which AI engines does SE Ranking actually cover today, and is Claude supported?
  • How often does SE Ranking refresh AI visibility data, and is weekly refresh fast enough for B2B monitoring?

Engine coverage is the sharpest disagreement. Anthropic reported that SE Visible covers only ChatGPT and Google AI Mode, calling a roadmap answer for three of five engines "a real blind spot" [33]. Kimi reported five supported engines with Claude pending [35]. OpenAI reported five engines in documentation while noting that the pricing page and help documentation display the supported-engine list differently [36]. Google reported five engines including Gemini [37]. Perplexity reported that some third-party reviews describe narrower coverage than all-model tools and that launch descriptions are inconsistent across pages [38].

Refresh cadence is the second disagreement. Anthropic reported that SE Visible refreshes weekly and called that slow for a $189/mo tool [40]. Google reported the same weekly cadence for standalone SE Visible, contrasting it with daily-updating competitors [42]. Kimi reported daily scanning with no hourly option [35]. Grok reported daily tracking [44]. These accounts cannot all describe the same product surface, which suggests the add-on and standalone products refresh differently, but the supplied evidence does not resolve this.

Pricing conflicts are extensive. OpenAI reported the AI Search add-on at $89 monthly or $71.20 annually for 200 checks, $179/$143.20 for 450 checks, and $345/$276 for 1,000 checks [45]. Anthropic reported SE Visible standalone at approximately $189/mo while noting the official FAQ does not list standalone pricing [46]. Grok reported standalone SE Visible from $355/mo, or $284/mo annually [44]. Kimi reported SE Visible tiers at $99/mo for 200 prompts, $189/mo for 450 prompts, and $355/mo for 1,000 prompts [35]. Google reported SE Visible Basic at $99/mo or $79/mo annually [48]. Perplexity reported API pricing conflicting across official pages, at $149/month on one page and from $45/month in a FAQ snippet [49]. The supplied official API pricing page shows a $50/mo wallet option, a $179/mo annual standalone tier, and a +$45/mo annual add-on tier (official:C2).

Attribution limits drew agreement. Anthropic reported that traffic estimates are modeled, not measured, and will not reconcile with GA4 [50]. Google reported no direct lead or conversion attribution and no native CRM integration [52]. DeepSeek reported no documented CRM, pipeline, or revenue attribution linking AI answers to deals [53]. OpenAI reported that the product measures visibility signals, not verified buyer exposure, traffic, pipeline, or revenue [54].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does SE Ranking map prompts to B2B funnel stages, personas, and buying scenarios?
  • Can SE Ranking's AI visibility data be exported to BI tools and client reports?

SE Ranking covers the five stated B2B requirements at a credible level, with the weakest coverage in buying-journey-specific reporting. OpenAI reported that SE Ranking recommends mapping prompts to business outcomes, personas, use cases, and funnel stages, which is relevant to vendor-discovery and comparison journeys [56]. Kimi reported that custom prompts can include "best tool for" and competitive comparison queries but that no pre-built B2B buyer-journey prompt library is described [57]. DeepSeek reported that stage-based prompt mapping to funnel or pipeline is not a documented core feature [58]. Perplexity reported no clearly verified public documentation that reporting is tailored to B2B buying-journey prompts or revenue-stage segmentation [59].

On reporting and integrations, Anthropic reported that AI search visibility datasets with prompt-level data and share of voice can be pulled into Data Studio and Whatagraph dashboards [61]. OpenAI reported that SE Visible supports project sharing, API access, and Data Studio connectivity, but that public material does not establish that every AI visibility field is available in every reporting destination [63]. Kimi reported API support for project, brand, competitor, and prompt management plus results retrieval, but explicitly excluding user and subscription management [57]. Anthropic reported that custom white labeling for colors, logo, and domain is not yet available in SE Visible and is on the roadmap [65]. Kimi reported that the Agency Pack is not available for SE Visible [57].

On data collection, OpenAI reported that SE Visible states data comes from real AI responses collected through a browser interface and that checks can run daily or weekly [66]. Kimi reported that browser-based collection reflects actual user-visible AI answers rather than API simulations [57]. Anthropic reported that the tool reports presence and position, not prompt-level reasoning about why AI ranked one brand above another [67].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does SE Ranking cost per month for AI visibility, and are there setup or cancellation fees?
  • What is the cheapest SE Ranking configuration that supports meaningful B2B prompt volume?

SE Ranking's AI visibility cost depends on packaging, and the supplied sources conflict on several figures. Buyers should treat every number below as requiring confirmation on the official pricing page before purchase.

OpenAI reported Core at $129 per month monthly or $103.20 per month annually, Growth at $279 monthly or $223.20 annually, and the AI Search add-on at $89 monthly or $71.20 annually for 200 checks, $179/$143.20 for 450 checks, and $345/$276 for 1,000 checks, with checks consumed at one check per prompt per AI platform [69]. Anthropic reported the same Core and Growth figures, SE Visible standalone at approximately $189/mo, and a total effective AI visibility cost of $150 to $240+ per month for suite users [71]. Grok reported Core at $129/mo, the AI Search add-on at $89/mo, Growth at $279/mo, and standalone SE Visible from $355/mo [73]. Kimi reported SE Visible tiers at $99, $189, and $355 per month [74]. Google reported the AI Results Tracker add-on at $89/mo layered on a base plan for a combined cost of approximately $175 to $220/month, and standalone SE Visible Basic at $99/mo or $79/mo annually [75].

On terms, OpenAI reported a 14-day trial without a credit card, annual plans billed upfront for the discounted rate, cancellation available anytime with payments generally non-refundable, and custom enterprise terms [77]. Anthropic reported a 14-day free trial, monthly and annual billing with a 20% annual discount, no setup fees, and a reported early-2026 pricing restructure that replaced Essential/Pro/Business naming with Core/Growth/Enterprise and raised costs for some existing customers [78]. Kimi reported a 10-day free trial for SE Visible with annual discount terms not specified [74]. Google reported a 14-day trial for the core platform and a 10-day trial for SE Visible [76].

Independent reviews flagged cost escalation. Anthropic cited a review finding that a budget SE Ranking stack with AI features and agency extras lands above a Semrush Pro subscription [79], and another finding that the cost advantage over Semrush and Ahrefs disappears once two to three add-ons are needed [80]. G2 reviewers noted that AI tools and local marketing features often require paid add-ons beyond the base subscription [81]. The official API pricing page shows annual credits expiring at the end of the billing cycle with no carryover, while wallet credits never expire (official:C2).

Best Suited For

Questions This Section Answers

  • Who gets the most value from SE Ranking for B2B AI visibility tracking?
  • Is SE Ranking worth it for a small B2B marketing team already using SEO tools?

SE Ranking fits B2B teams that already use SEO tooling and want AI visibility added without a second vendor. Anthropic described it as a consolidation play for one-to-three-person B2B marketing teams needing roughly 80% of Semrush's capability at about 60% of the cost [82]. OpenAI identified teams already using SEO, rank tracking, competitor research, or agency-style reporting as the best fit [84]. Google identified B2B marketing teams transitioning from classic keyword rank tracking to generative AI visibility [86].

The strongest specific fits are teams tracking category and vendor-comparison prompts across the supported engines, organizations needing source and citation gap analysis against named competitors, and content teams using historical data to measure AI citation trends alongside traditional SEO metrics [88]. Anthropic noted that the AI layer sitting inside the same suite as rank tracking and reporting makes AEO a packaged add-on service rather than a separate tool teams must justify [90]. Independent reviews also position SE Ranking as frequently recommended for small businesses, startups, and freelancers on price [91].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose SE Ranking for B2B AI visibility tracking?
  • Is SE Ranking suitable for enterprises needing CRM attribution or audited AI-response accuracy?

SE Ranking is probably not the best choice for AI-first buyers, enterprises needing pipeline attribution, or teams requiring broad engine coverage today. Anthropic reported that it does not fit buyers who need ChatGPT, Perplexity, Gemini, and Claude coverage equally, want daily refresh, or need visibility tied to actual sessions and conversions [92]. DeepSeek reported it is not a purpose-built B2B revenue-attribution platform and lacks documented CRM or pipeline attribution [94]. OpenAI reported it is less clearly optimal for buyers seeking a specialized enterprise AI-visibility system with granular buying-journey modeling, extensive workflow automation, or independently validated outcome data [95].

Other exclusions: buyers wanting a pure-play AI visibility product without broader SEO functionality or add-on pricing [96]; teams requiring independently audited AI-response accuracy or proven revenue-attribution methodology [95]; enterprises needing deep backlink analysis or link-building workflows, since SE Ranking has no built-in link-building outreach workflows [97]; and agencies needing white-label or multi-client management in SE Visible, since the Agency Pack is not available there [98]. Anthropic also reported that custom white labeling is not yet available in SE Visible [99].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to SE Ranking for a B2B buyer who needs Claude coverage or hourly refresh?
  • When should a B2B buyer choose a dedicated AI visibility platform instead of SE Ranking?

Another option may be better when engine coverage, refresh speed, or attribution depth outweighs SEO-suite bundling. Anthropic recommended dedicated platforms when buyers need ChatGPT, Perplexity, Gemini, Claude, and Copilot covered equally, when daily or hourly refresh is required, when deep backlink databases are needed, or when prompt-level recommendation logic and citation reasoning are primary use cases [100]. Kimi named specific alternatives for specific gaps: Mentionlytics for budgets under $99/month, Gracker.ai for hourly scanning, Viali for automated fact-correction and structured data publishing, and Centium for built-in strategic action plans [103]. Google named CiteMetrix for nine-plus engine coverage with remediation tools, Semrush AI Visibility Toolkit for daily updates in an enterprise SEO workspace, and Profound for governance-scale multi-market tracking [107].

OpenAI recommended a specialized enterprise AI-visibility platform when the buyer needs more extensive prompt discovery, workflow governance, stakeholder dashboards, or custom enterprise terms; a lower-cost SEO platform when the requirement is primarily traditional keyword and competitor tracking; and an API-first solution when AI visibility data must be embedded into an internal revenue, CRM, or business-intelligence system [109]. DeepSeek recommended a dedicated platform when enterprise-grade analytics integrated with CRM or pipeline attribution is required, or when a large library of B2B buying-committee prompts and deep intent modeling is needed [111].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a B2B buyer confirm with SE Ranking about engine coverage and prompt limits before signing?
  • What contract, refund, and data-retention terms should a buyer verify before purchasing SE Ranking?

Confirm these items directly with SE Ranking before committing, because the supplied evidence conflicts or is incomplete on each one.

Engine coverage: whether ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode are all available for the intended United States configuration, and whether Claude is supported or still on the roadmap [113]. Prompt volume: how many prompts and AI-engine checks are included in the selected Core or Growth plan before purchasing the add-on, and whether checks are pooled across projects, brands, and users [116]. Expiration: whether unused checks expire or roll over, given that official API documentation states annual credits expire at the end of the billing cycle while wallet credits never expire (official:C2). Refresh cadence: whether the chosen surface refreshes daily or weekly, since sources conflict [117].

Reporting and export: what exact AI visibility fields are available through the API, Data Studio connector, scheduled reports, and export functions, and whether raw citation data can be retrieved programmatically or only aggregated dashboards [119]. Retention: how long historical AI data is retained on Core, Growth, Enterprise, and SE Visible, given that Core reportedly does not include historical data [121]. Accuracy: whether sentiment and competitor classifications are editable or manually reviewable, and whether SE Ranking can provide a trial using the buyer's actual B2B prompt set and competitor list [119]. Terms: cancellation, refund, renewal, and annual-commitment terms for both the add-on and base subscription, and what happens to data access and exportability on cancellation [122].

Final AI Consensus Verdict

SE Ranking is a good fit for B2B marketing and revenue teams that already run SEO workflows and want prompt-level AI visibility, competitor comparisons, citation intelligence, and historical tracking in one subscription. Two of seven platforms named it during ranking discovery, at an average listed rank of 6.0 and a best rank of 5. Three platforms rated it a good fit and four rated it mixed.

The strongest reason to consider it is the combination of AI-answer monitoring with a mature SEO suite at a lower entry cost than dedicated AI-visibility tools, with AI tracking riding on the platform rather than a separate premium SKU [124]. The main limitation is that AI visibility is layered onto an SEO platform rather than built as a purpose-built B2B revenue-attribution system, with unresolved conflicts on engine coverage, refresh cadence, and pricing across packaging surfaces [126].

Buyers should validate prompt-volume economics, supported-engine scope, historical retention, reporting exports, and the practical accuracy of AI-response data for their specific United States B2B category before purchase. The broader AI Visibility Platforms for B2B Companies consensus index compares SE Ranking against the other finalists in this study.

How This Review Was Produced

This review was produced from seven platform fit-research responses collected for the AI Visibility Platforms for B2B Companies study, using the run research date of 2026-09-19. Two platforms, DeepSeek and OpenAI, named SE Ranking during ranking discovery; all seven evaluated its fit once included. Each platform's response supplied its own citations, which are labeled by platform and citation ID in this article. No personal testing, customer interviews, or independent verification of product claims was performed. All product capabilities, prices, and terms described here are platform-reported or company-owned documentation, not independently verified facts. Where platforms disagreed, the disagreement is stated rather than resolved.

Methodology Limitations

Several limitations apply. Platform-reported research dates differ from the authoritative run date: DeepSeek's response is dated 2026-01-15, while the other six are dated 2026-09-19, so DeepSeek's findings may reflect an earlier product state [129]. Citations are platform-reported evidence, not independently verified facts, and no-search model claims require explicit verification before being described as current. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Pricing and packaging conflicts remain unresolved across official pages and third-party reviews, including the AI Search add-on versus standalone SE Visible pricing, the API price discrepancy between $149/month and $45/month in different official snippets, and the supported-engine list differing between the pricing page and help documentation [130]. Plan names, limits, and prices may change during the 2026 research year. Public evidence is primarily vendor documentation, and independent validation of citation accuracy, sentiment accuracy, and correlation between visibility metrics and B2B pipeline outcomes was not established. Platform agreement on a capability does not prove product quality. The ai visibility llm monitoring category directory lists the full set of platforms evaluated under this use case.

Sources

Company-Owned Sources

  • Centium | AI Visibility Platform for Brands: https://centium.ai/
  • AI Visibility for B2B SaaS: https://gracker.ai/ai-visibility
  • SE Ranking — rank tracking and reporting platform: https://seranking.com/
  • SE Ranking — AI visibility / AI Tracker feature overview: https://seranking.com/ai-result-tracker.html
  • AI Search Visibility Tool: Optimize for AI Search: https://seranking.com/ai-visibility-tracker.html
  • How to Access and Analyze Historical SEO Data: Tools & Tips: https://seranking.com/blog/historical-data/
  • The Complete Guide to Finding Competitor Keywords: https://seranking.com/blog/how-to-find-competitors-keywords/
  • The Source Strategy: Get Your Brand Into AI Answers: https://seranking.com/blog/how-to-make-ai-engines-mention-your-brand/
  • What Metrics Do We Use in SE Ranking?: https://seranking.com/blog/metrics-in-se-ranking/
  • SE Ranking FAQ: Features, Data & Pricing Answered: https://seranking.com/faq.html
  • SE Ranking Integrations: Connect Your Data, Reporting, & Workflows: https://seranking.com/integrations.html
  • SE Ranking — pricing: https://seranking.com/pricing.html
  • Subscription - SE Ranking: https://seranking.com/subscription.html
  • Platform: Discover, Improve, Measure AI Visibility: https://viali.ai/product/
  • SE Visible — An AI Visibility Tool Made to Empower Brands: https://visible.seranking.com/
  • AI Brand Visibility Tool - See What AI Says About You: https://www.mentionlytics.com/product/ai-visibility/
  • Official pricing and terms source: https://seranking.com/api-pricing.html
  • Additional AI research evidence131 records
    1. AI research evidence record deepseek:c1
    2. AI research evidence record openai:c1
    3. AI research evidence record openai:c8
    4. AI research evidence record openai:c9
    5. AI research evidence record openai:c2
    6. AI research evidence record openai:c3
    7. AI research evidence record openai:c4
    8. AI research evidence record openai:c7
    9. AI research evidence record anthropic:29-1
    10. AI research evidence record openai:c9
    11. AI research evidence record anthropic:33-8
    12. AI research evidence record kimi:visible-1
    13. AI research evidence record google:1.2.3
    14. AI research evidence record openai:c1
    15. AI research evidence record openai:c2
    16. AI research evidence record grok:0
    17. AI research evidence record grok:1
    18. AI research evidence record grok:3
    19. AI research evidence record kimi:visible-1
    20. AI research evidence record openai:c3
    21. AI research evidence record openai:c4
    22. AI research evidence record anthropic:5-7
    23. AI research evidence record anthropic:5-8
    24. AI research evidence record google:1.1.2
    25. AI research evidence record google:1.2.3
    26. AI research evidence record openai:c5
    27. AI research evidence record openai:c6
    28. AI research evidence record google:1.1.3
    29. AI research evidence record google:1.2.2
    30. AI research evidence record perplexity:c1
    31. AI research evidence record openai:c7
    32. AI research evidence record anthropic:20-1
    33. AI research evidence record anthropic:33-8
    34. AI research evidence record anthropic:33-9
    35. AI research evidence record kimi:visible-1
    36. AI research evidence record openai:c9
    37. AI research evidence record google:1.2.3
    38. AI research evidence record perplexity:c1
    39. AI research evidence record perplexity:c2
    40. AI research evidence record anthropic:33-13
    41. AI research evidence record anthropic:33-14
    42. AI research evidence record google:2.2.2
    43. AI research evidence record google:2.3.2
    44. AI research evidence record grok:0
    45. AI research evidence record openai:c8
    46. AI research evidence record anthropic:33-16
    47. AI research evidence record anthropic:33-17
    48. AI research evidence record google:2.2.3
    49. AI research evidence record perplexity:c4
    50. AI research evidence record anthropic:33-10
    51. AI research evidence record anthropic:33-11
    52. AI research evidence record google:1.1.3
    53. AI research evidence record deepseek:c2
    54. AI research evidence record openai:c7
    55. AI research evidence record openai:c10
    56. AI research evidence record openai:c2
    57. AI research evidence record kimi:visible-1
    58. AI research evidence record deepseek:c2
    59. AI research evidence record perplexity:c1
    60. AI research evidence record perplexity:c2
    61. AI research evidence record anthropic:34-3
    62. AI research evidence record anthropic:34-7
    63. AI research evidence record openai:c7
    64. AI research evidence record openai:c8
    65. AI research evidence record anthropic:29-20
    66. AI research evidence record openai:c10
    67. AI research evidence record anthropic:20-5
    68. AI research evidence record anthropic:20-6
    69. AI research evidence record openai:c8
    70. AI research evidence record openai:c9
    71. AI research evidence record anthropic:33-16
    72. AI research evidence record anthropic:33-17
    73. AI research evidence record grok:0
    74. AI research evidence record kimi:visible-1
    75. AI research evidence record google:2.1.1
    76. AI research evidence record google:2.2.3
    77. AI research evidence record openai:c11
    78. AI research evidence record anthropic:17-4
    79. AI research evidence record anthropic:13-3
    80. AI research evidence record anthropic:15-5
    81. AI research evidence record anthropic:10-13
    82. AI research evidence record anthropic:43-1
    83. AI research evidence record anthropic:43-8
    84. AI research evidence record openai:c1
    85. AI research evidence record openai:c3
    86. AI research evidence record google:1.1.2
    87. AI research evidence record google:1.2.3
    88. AI research evidence record openai:c5
    89. AI research evidence record anthropic:41-1
    90. AI research evidence record anthropic:30-3
    91. AI research evidence record anthropic:38-1
    92. AI research evidence record anthropic:33-23
    93. AI research evidence record anthropic:33-24
    94. AI research evidence record deepseek:c2
    95. AI research evidence record openai:c7
    96. AI research evidence record openai:c8
    97. AI research evidence record anthropic:41-8
    98. AI research evidence record kimi:visible-1
    99. AI research evidence record anthropic:29-20
    100. AI research evidence record anthropic:33-8
    101. AI research evidence record anthropic:33-9
    102. AI research evidence record anthropic:33-13
    103. AI research evidence record kimi:mentionlytics-1
    104. AI research evidence record kimi:gracker-1
    105. AI research evidence record kimi:viali-1
    106. AI research evidence record kimi:centium-1
    107. AI research evidence record google:2.2.3
    108. AI research evidence record google:2.2.2
    109. AI research evidence record openai:c7
    110. AI research evidence record openai:c8
    111. AI research evidence record deepseek:c1
    112. AI research evidence record deepseek:c2
    113. AI research evidence record openai:c9
    114. AI research evidence record anthropic:33-8
    115. AI research evidence record kimi:visible-1
    116. AI research evidence record openai:c8
    117. AI research evidence record anthropic:33-13
    118. AI research evidence record grok:0
    119. AI research evidence record openai:c7
    120. AI research evidence record anthropic:34-3
    121. AI research evidence record anthropic:20-1
    122. AI research evidence record openai:c11
    123. AI research evidence record anthropic:33-16
    124. AI research evidence record anthropic:20-2
    125. AI research evidence record anthropic:20-3
    126. AI research evidence record anthropic:28-16
    127. AI research evidence record anthropic:28-17
    128. AI research evidence record perplexity:c1
    129. AI research evidence record deepseek:c1
    130. AI research evidence record perplexity:c4
    131. AI research evidence record openai:c9

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
44
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#8

Research trail and source mix

Configured platforms

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

Source mix

22 independent · 22 company-owned

Evidence support

36 direct · 7 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 813b5ef2d6943534dcfd8b31afea386f27835de044431ac2ba75acc5fe154292