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AI Consensus Fit Review

seoClarity AI SEO Tool Fit Review for B2B Companies

seoClarity is a conditional fit for B2B companies buying AI SEO tools, and a strong fit only for larger teams with dedicated SEO staff and enterprise budgets.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

seoClarity is a conditional fit for B2B companies buying AI SEO tools, and a strong fit only for larger teams with dedicated SEO staff and enterprise budgets. Two of seven platforms named seoClarity during ranking discovery, at an average listed rank of 6.0 and a best rank of 5. Its strongest reason to consider it is a unified stack that combines large-scale keyword and competitor research, Content Fusion optimization workflows, and Clarity ArcAI monitoring of AI-search mentions and citations. The main limitation is that public pricing and packaging conflict across sources, and independent evidence of B2B pipeline outcomes is thin.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (deepseek, openai)
Share of included platform responses28.6%
Average listed rank6.0
Best listed rank5
Relevant product/model/planseoClarity Enterprise Platform with Content Fusion and Clarity ArcAI
Overall use-case fitStrong (2 platforms); Good (3 platforms); Mixed (2 platforms) — 7 platforms analyzed
Research date2026-09-18

Why seoClarity Qualified for This Study

Questions This Section Answers

  • Is seoClarity a good choice for AI SEO Tools for B2B Companies?
  • How many AI platforms actually named seoClarity when ranking AI SEO tools for B2B companies?

seoClarity qualified because it was named during ranking discovery by two of the seven included platforms, deepseek and openai, at ranks 7 and 5 respectively. That is a 28.6% share of included platform responses, which is a minority mention rather than broad consensus. All seven platforms evaluated seoClarity's fit for this use case, but only two surfaced it in their ranked recommendations, so the ranking evidence is narrower than the fit evidence.

The fit ratings split across platforms: openai and grok rated seoClarity a strong fit, anthropic, google, and perplexity rated it good, and deepseek and kimi rated it mixed. That spread is itself the finding. Platforms agreed seoClarity is enterprise-oriented and capable, and disagreed about whether its AI-search capabilities are purpose-built enough for B2B vendor-discovery and buying-journey prompt work.

This review covers seoClarity only as a tool for B2B companies optimizing content around high-intent buyer questions, comparisons, alternatives, use cases, and vendor-selection topics across traditional and AI search. It is not a general company review. The broader field is tracked in the AI SEO Tools for B2B Companies consensus index.

The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for B2B Companies

Questions This Section Answers

  • Which seoClarity plan should a B2B buyer choose if they need both Content Fusion and Clarity ArcAI?
  • Is Clarity ArcAI included in the seoClarity Enterprise Platform or sold as a separate add-on?

The relevant configuration is the seoClarity Enterprise Platform combined with Content Fusion and Clarity ArcAI. Every platform that named a product pointed to this combination or a close variant, and no platform recommended a standalone module as sufficient for this use case.

The three components do different jobs. The core SEO Platform carries keyword, domain, content, ranking, gap, and opportunity analysis with large historical datasets and international coverage [1]. Content Fusion is positioned as a research-to-brief-to-optimization workflow using NLP guidance [2], and seoClarity describes it as generating researched outlines and paragraphs [3]. Clarity ArcAI is positioned to monitor AI-search visibility, mentions, citations, competitors, prompts, sentiment, AI Overviews, AI Mode, and AI bots [4], and seoClarity describes ArcAI as uncovering prompts, topics, and demand signals that drive visibility in AI-generated answers [5].

Packaging is genuinely unclear. seoClarity's FAQ describes ClarityAutomate and Clarity ArcAI as capabilities that can be integrated as specialized add-ons [6], while other descriptions treat ArcAI as a distinct edition or module. Independent coverage describes ArcAI and Content Fusion as sold on a custom, quote-based model priced by domains and keywords tracked [7]. Buyers should treat "included" versus "add-on" as an open question until the vendor confirms it in writing.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree seoClarity does well for B2B buyer-journey content research?
  • Does seoClarity support competitive analysis for B2B vendor-comparison content?

Platforms broadly agreed on four points, though the strength of agreement varied by claim.

First, research depth. seoClarity's Research Grid supports competitive keyword, domain, content, ranking, gap, and opportunity analysis with large historical datasets and international coverage [8], and the platform describes keyword research, competitor keyword discovery, topic matching, search intent, subtopics, and search-journey analysis [9]. Independent coverage cites a 32+ billion keyword database across 170+ countries [10], and seoClarity's own materials cite 32+ billion keywords with clickstream data [11]. The database-size figures are vendor-reported.

Second, competitive analysis. seoClarity supports analysis of competitor rankings, domains, pages, keyword gaps, visibility changes, and content performance [8], with interactive rank tracking and unlimited competitors [13]. A competitor research API feeds BI tools including BigQuery, Tableau, Domo, and Redshift [14].

Third, AI-search visibility. Clarity ArcAI is described as centralizing AI Overviews and cross-engine visibility with mentions-versus-citations breakdowns and an action layer [15]. Google's platform response reported ArcAI tracking nine AI search engines with prompt query allocations starting at 500 and a Prompt Research Explorer [16], and an independent review repeated the nine-engine figure [17]. Those engine counts are platform-reported and not independently verified.

Fourth, enterprise orientation. Gartner Peer Insights lists seoClarity Platform in enterprise SEO platforms and describes it as supporting traditional SEO and AI-driven search experiences [18], and G2 characterizes it as enterprise-oriented [19]. Independent reviews consistently place it with mid-market and enterprise organizations rather than small teams [20].

Agreement across platforms does not establish product quality. Several of these claims trace back to vendor material, and the independent sources largely repeat vendor positioning rather than testing it.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is seoClarity's AI-search tracking purpose-built for B2B vendor-discovery prompts, or is that capability unproven?
  • Why did some AI platforms rate seoClarity as only a mixed fit for B2B AI SEO?

The sharpest disagreement was whether seoClarity is purpose-built for B2B buying-journey prompt tracking. openai, grok, google, and perplexity treated ArcAI's prompt, mention, and citation monitoring as directly relevant to vendor discovery. deepseek found no public seoClarity documentation specifically describing tracking of how B2B buyers research solutions via AI buying-journey prompts, and rated that capability unclear [21]. kimi went further, stating that no verified evidence showed seoClarity providing specific insights into how B2B buyers research solutions via AI chat interfaces, and that independent reviews did not confirm AI-engine-specific competitive benchmarking [23].

Pricing produced a second, more concrete conflict. seoClarity's FAQ lists package starting points of $2,500, $3,200, and $4,500 per month [26], and the official pricing page shows the same three figures alongside a note that the packages and pricing are representative as of October 11, 2022 and subject to change (official:C2). G2 separately reports $1,500 per month for the platform and $2,000 per month for ArcAI [28]. TrustRadius cites a $750 per month entry point [30]. Independent reviews cite $2,500 to $4,000 per month [31] and real enterprise contracts ranging from $4,500 to $15,000+ per month [32]. kimi estimated $3,000 to $5,000 per month while noting no company-confirmed public tiers [23]. These figures cannot all be correct for the same configuration.

A third uncertainty concerns Content Fusion usage limits. Google's response reported monthly limits on unique analyses, typically 20 to 50 runs depending on package [33]. Other platforms did not report a limit, which may reflect different source coverage rather than disagreement.

A fourth uncertainty concerns independent validation. Gartner Peer Insights lists seoClarity as an enterprise SEO and AEO platform [35], and G2 and Capterra ratings are cited at 4.5/5 and 4.8/5 respectively [36]. Public review evidence does not establish comparative superiority, implementation success, or revenue impact for a specific B2B company [29].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Can seoClarity map B2B buyer questions and search-journey stages for vendor-selection content?
  • What content optimization and competitive gap features does seoClarity offer B2B marketing teams?

For content research and topic discovery, the platform's Research Grid and Topic Explorer support keyword, domain, URL, content-gap, topic, subtopic, search-intent, and search-journey research [37]. Topic Explorer groups keywords by subtopics, entities, and user intent [40], detects intent overlap using proprietary clickstream and an intent graph [41], shows what prospects search before and after a keyword [42], surfaces demographic information such as age range, interests, and income [43], and identifies questions audiences search in relation to a topic with filtering by queries that trigger featured snippets [44]. Those buyer-research features map directly to vendor-selection and comparison content planning.

For competitive analysis, seoClarity supports competitor rankings, domains, pages, keyword gaps, visibility changes, and content performance [37], with unlimited competitors in rank tracking [46] and SERP feature reporting used to determine what to target [47]. Reviewers cite the ability to customize which tags and ranking types to measure [48].

For optimization guidance, the platform includes AI-driven content recommendations and content analysis, with Content Fusion positioned for content optimization [49]. Content Fusion leverages NLP and AI to guide content creation and optimization [50], generates instant briefs with real-time scoring and internal linking suggestions [51], and reviewers report clearer guidance focused on context over keyword stuffing [52]. Sia generates 120+ validated and verified SEO optimizations from content, competitors, and technical issues [53].

For AI-search and buyer-journey insight, Clarity ArcAI monitors mentions, citations, competitors, prompts, sentiment, AI Overviews, AI Mode, and AI bots [54]. seoClarity describes B2B AI-search intent stages covering discovery, awareness, consideration, and transactional goals, including buyer questions and competitor citations [55]. ArcAI enables research of prompts, sentiment analysis, and content optimization for AEO and GEO visibility [56]. Most of this evidence is vendor-reported.

For enterprise workflow and integration, the platform is designed as a customizable enterprise SEO and AI-search platform with AI-driven insights, content capabilities, reporting, and ArcAI or ClarityAutomate integrations [49]. An API suite integrates with BigQuery, Tableau, Domo, and Redshift [57]. Unlimited user seats are included on every plan according to one independent review [58].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does seoClarity cost per month for a B2B team, and why do published figures conflict?
  • What contract term, cancellation, and overage terms should a B2B buyer confirm before signing with seoClarity?

Pricing is the least reliable part of the public record, and buyers should treat every published figure as a planning reference rather than a quote. seoClarity's own FAQ lists $2,500 per month for Research & Content, $3,200 per month for technical-heavy tiers, and $4,500 per month for Enterprise [59]. The official pricing page shows the same three figures but states the packages and pricing are representative as of October 11, 2022 and subject to change, and that a custom quote is necessary (official:C2). Independent reviews repeat the $2,500, $3,200, and $4,500 tiers [61].

Conflicting figures exist. G2 reports $1,500 per month for the platform and $2,000 per month for Clarity ArcAI [66]. TrustRadius cites a $750 per month starting point for rank tracking, keyword research, content analysis, and reporting [68]. One review cites $2,500 to $4,000 per month [69], another cites real enterprise contracts from $4,500 to $15,000+ per month depending on domains, keywords, and services [70], and kimi estimated $3,000 to $5,000 per month without company confirmation [71]. Google's response reported a $2,500 per month baseline floor for ArcAI access [72]. Vendr notes that custom pricing makes costs difficult to estimate or compare without market context [73].

On fees, seoClarity's FAQ states all packages are priced by number of domains and keywords tracked, with variance from SEO Professional Services add-ons and discounts for bulk keyword tracking and multi-year agreements (official:C2). Professional Services are described as included in every client engagement [74]. Potential additional charges for Clarity ArcAI, ClarityAutomate, expanded tracking, technical SEO, or other specialized modules are unclear from public information [59]. Site audit costs reportedly scale with pages crawled, and usage overage fees for exceeding tracked keywords or crawl frequency are not disclosed in specific amounts [63].

On contracts, public sources do not clearly state minimum contract duration, annual-commitment requirements, renewal terms, cancellation notice, or refund policy [59]. One platform reported that multi-year commitments of 24 or 36 months are standard for enterprise while annual and month-to-month options are unclear [63]. Another reported annual or multi-year contracts as typical with month-to-month for lower tiers [64]. Perplexity found no verified public evidence of automatic monthly cancellation terms [75]. These are platform-reported and should be confirmed directly.

Best Suited For

Questions This Section Answers

  • Which B2B companies get the most value from seoClarity's Enterprise Platform with Content Fusion and Clarity ArcAI?
  • Is seoClarity worth it for a B2B team that needs buyer-journey topic discovery and competitor comparison at scale?

seoClarity is best suited to enterprise and mid-market B2B companies with broad keyword portfolios, multiple domains, or international search programs [76]. Teams comparing competitors across traditional search, AI Overviews, and answer engines are a natural fit [77]. Organizations that need buyer-journey topic discovery and visibility analysis across discovery, awareness, consideration, and transactional prompts are the closest match to this use case [78].

Independent sources add that the platform suits large B2B enterprises with dedicated SEO teams managing complex content portfolios across multiple domains [79], enterprise revenue teams seeking AI visibility tracking to understand how competitors appear in AI-generated answers [80], and B2B SaaS and technology companies targeting multiple buyer personas [81]. One review notes unlimited user seats on every plan, which enterprise SEO teams reportedly find rare and meaningful [82]. Customer success support is repeatedly praised, with reviewers describing the team as an extension of their in-house team [83].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose seoClarity for AI SEO Tools for B2B Companies?
  • Is seoClarity a poor fit for small B2B teams without dedicated SEO staff?

seoClarity is probably not the right choice for small businesses or early-stage teams with limited SEO budgets [86]. Buyers wanting a simple, self-serve content editor or primarily generative writing functionality should look elsewhere [86]. Teams that require fully transparent pricing, standard monthly cancellation, or independently validated revenue outcomes are also poorly served [86].

Independent sources are more pointed. One review states that enterprise-only pricing starting at $2,500 per month prices out small and mid-market customers [87]. Another cites a steep learning curve and multi-week onboarding required to extract value [88], with the learning curve and non-intuitive interface cited as a limitation [89] and new team members taking significant time to navigate deep menus [90]. kimi rated the platform less purpose-built for AI-native B2B buyer intelligence than emerging competitors [91]. deepseek rated fit mixed and noted no clear public evidence of B2B vendor-discovery prompt tracking [94].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to seoClarity for a B2B buyer who needs transparent pricing under $3,000 per month?
  • When is a dedicated AI-visibility tool a better choice than seoClarity for B2B prompt tracking?

Several platforms named conditions under which a different tool serves the buyer better. These are platform recommendations, not tested comparisons.

For cost efficiency and lighter learning curves, one platform suggested that Semrush or Ahrefs at $139 to $374 per month provide much of seoClarity's feature breadth at a fraction of enterprise cost [95]. For revenue operations teams needing buyer intent, account-based targeting, or pipeline attribution, dedicated B2B intent platforms such as ZoomInfo or DemandBase were suggested as better aligned to go-to-market work [95]. For AI search visibility only, without deep traditional SEO, specialized platforms such as Clearscope or Profound were named [95].

For buyers whose primary need is tracking B2B buyer prompts across AI engines, kimi named SEORCE at $99 to $499 per month and Profound at $99 to $399 per month for standard tiers as purpose-built alternatives, with SEORCE explicitly offering pipeline attribution [97]. For SEO plus AI visibility from a single vendor with known pricing, kimi named Semrush One with transparent tiers at $199 to $549 per month [99]. For buyers wanting a simpler or cheaper tool for lightweight AI content generation or on-page optimization, perplexity recommended looking at lighter options [100]. For buyers needing published annual and monthly terms with predictable pricing and easy cancellation, openai recommended a platform with those terms [101].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a B2B buyer confirm with seoClarity about ArcAI packaging and prompt limits before signing?
  • How should a B2B buyer validate seoClarity's AI-search coverage and contract terms before committing?

The platforms converged on a similar verification list, which is itself a signal that public information is incomplete.

Confirm the exact 2026 quote for the Enterprise Platform, Content Fusion, and Clarity ArcAI together, and whether ArcAI is included, optional, or separately licensed with prompt, domain, market, and user limits [102]. Ask which AI engines and search experiences are supported in your target US markets and how often prompts refresh [102]. Ask whether the platform can report competitor share of mentions and citations for custom B2B vendor-comparison prompts [102]. Ask how buyer-journey prompts are generated, deduplicated, localized, and tied to search volume or business intent [102].

Confirm Content Fusion features, content limits, integrations, exports, APIs, and workflow permissions, including whether monthly analysis quotas apply [102]. Ask what onboarding, implementation, training, customer-success, and professional-services fees apply [102]. Ask whether there is a required annual commitment, minimum term, renewal uplift, cancellation notice, or early-termination charge [102]. Ask what independent accuracy benchmarks or customer references exist for B2B AI-search visibility and competitive analysis [102]. Ask how success will be measured beyond rankings and mentions, such as qualified organic pipeline, influenced opportunities, or vendor-shortlist visibility [102].

Final AI Consensus Verdict

seoClarity is a conditional strong fit for AI SEO Tools for B2B Companies, and the condition is scale. It was named by two of seven platforms during ranking discovery, at an average rank of 6.0, and fit ratings ranged from strong to mixed. The strongest case for it is a unified stack: large-scale keyword and competitor research, Content Fusion optimization workflows, and Clarity ArcAI monitoring of AI-search mentions, citations, and prompts. The strongest case against it is that public pricing conflicts across sources, ArcAI and Content Fusion packaging is unclear, and independent evidence of B2B pipeline outcomes is limited.

Buyers with dedicated SEO staff, multiple domains, and budgets in the $2,500 to $4,500+ per month range should evaluate it seriously and validate the quote, packaging, prompt coverage, and contract terms in writing. Buyers who need transparent self-serve pricing, fast onboarding, or AI-prompt tracking as a standalone capability should compare alternatives first. The category directory for ai seo content optimization lists the wider field.

How This Review Was Produced

This review was produced from seven AI platform responses collected for the research date 2026-09-18. Each platform was asked which AI SEO tools it would recommend for B2B companies and why. All seven platforms evaluated seoClarity's fit, but only two, deepseek and openai, named it during ranking discovery. Fit ratings were strong from openai and grok, good from anthropic, google, and perplexity, and mixed from deepseek and kimi.

Citations in this article are platform-reported evidence, not independently verified facts. Company-owned sources such as seoclarity.net pages describe vendor positioning and capabilities. Independent sources include review sites, directories, and third-party analyses. Where a claim rests only on vendor material, it is labeled as vendor-reported or platform-reported.

Methodology Limitations

Several limitations apply. Platform-reported research dates differ from the authoritative run date: deepseek reported 2026-06-11 while the other six platforms reported 2026-09-18, so deepseek's findings may reflect older information. Platform-reported dates are provenance metadata and do not independently prove freshness.

deepseek ran with search disabled, so its findings rest on model knowledge rather than retrieved sources, and its claims require explicit verification before being treated as current facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Conflicting product names, pricing, and capabilities were described rather than resolved, and buyers should verify them directly with the vendor.

Pricing conflicts remain unresolved: the official pricing page states its packages are representative as of October 11, 2022 and subject to change (official:C2), while G2, TrustRadius, and independent reviews cite different figures. Coverage, prompt volumes, supported AI engines, geographic granularity, refresh frequency, and data retention are not fully specified in the reviewed public sources. Available review evidence is insufficient to verify comparative performance against alternatives or measurable B2B pipeline outcomes. Agreement among AI platforms does not establish product quality.

Sources

Company-Owned Sources

  • Kennext | AI-Powered SEO + AEO Audits for B2B SaaS: https://kennext.ai/
  • AI SEO Agent That Writes and Publishes the Fix: https://meev.ai/growth-agent
  • SEORCE - AI-Powered SEO Platform Product: https://seorce.com/product
  • SEORCE - AI-Powered SEO Platform: https://seorce.com/solutions/b2b
  • seoClarity Official Website: https://www.seoclarity.net/
  • Content Fusion: SEO Content Writing and Optimization Tool: https://www.seoclarity.net/ai-content-writer/
  • The #1 Enterprise AEO Platform: Clarity ArcAI: https://www.seoclarity.net/ai-seo/ai-search-engines
  • Clarity ArcAI 2.0: The Next Chapter in AI Search Innovation: https://www.seoclarity.net/ai-seo/clarity-arcai-2.0-innovations-hub
  • Best Enterprise SEO Platforms, Tools, and Software in 2026: https://www.seoclarity.net/blog/best-seo-platforms
  • Content at Scale Helps B2B SaaS Company With 116% Increase in Organic Traffic YOY: https://www.seoclarity.net/blog/case-study/b2b-saas-organic-traffic-growth
  • Benchmark Study: seoClarity SaaS Clients Achieve Incredible SEO Growth: https://www.seoclarity.net/blog/performance-study-saas-industry
    1. Additional AI research evidence105 records
      1. AI research evidence record openai:c1
      2. AI research evidence record anthropic:14-6
      3. AI research evidence record perplexity:c13
      4. AI research evidence record openai:c6
      5. AI research evidence record anthropic:15-12
      6. AI research evidence record perplexity:c10
      7. AI research evidence record anthropic:14-10
      8. AI research evidence record openai:c1
      9. AI research evidence record openai:c2
      10. AI research evidence record anthropic:21-4
      11. AI research evidence record anthropic:10-13
      12. AI research evidence record openai:c4
      13. AI research evidence record anthropic:31-8
      14. AI research evidence record anthropic:35-10
      15. AI research evidence record anthropic:2-1
      16. AI research evidence record google:sc_arcai_pricing
      17. AI research evidence record google:sc_echowi_2026
      18. AI research evidence record openai:c9
      19. AI research evidence record openai:c8
      20. AI research evidence record anthropic:21-5
      21. AI research evidence record deepseek:c1
      22. AI research evidence record deepseek:c3
      23. AI research evidence record kimi:c1
      24. AI research evidence record kimi:c4
      25. AI research evidence record kimi:c6
      26. AI research evidence record openai:c5
      27. AI research evidence record perplexity:c10
      28. AI research evidence record openai:c6
      29. AI research evidence record openai:c8
      30. AI research evidence record anthropic:20-2
      31. AI research evidence record anthropic:22-1
      32. AI research evidence record anthropic:25-9
      33. AI research evidence record google:sc_arcai_pricing
      34. AI research evidence record google:sc_rankability_2026
      35. AI research evidence record openai:c9
      36. AI research evidence record anthropic:4-1
      37. AI research evidence record openai:c1
      38. AI research evidence record openai:c2
      39. AI research evidence record openai:c3
      40. AI research evidence record anthropic:10-10
      41. AI research evidence record anthropic:32-11
      42. AI research evidence record anthropic:32-15
      43. AI research evidence record anthropic:32-16
      44. AI research evidence record anthropic:32-19
      45. AI research evidence record openai:c4
      46. AI research evidence record anthropic:31-8
      47. AI research evidence record anthropic:38-3
      48. AI research evidence record anthropic:38-2
      49. AI research evidence record openai:c5
      50. AI research evidence record anthropic:10-1
      51. AI research evidence record anthropic:14-6
      52. AI research evidence record anthropic:37-16
      53. AI research evidence record anthropic:11-6
      54. AI research evidence record openai:c6
      55. AI research evidence record openai:c7
      56. AI research evidence record anthropic:17-4
      57. AI research evidence record anthropic:35-10
      58. AI research evidence record anthropic:21-2
      59. AI research evidence record openai:c5
      60. AI research evidence record perplexity:c10
      61. AI research evidence record anthropic:9-7
      62. AI research evidence record anthropic:9-8
      63. AI research evidence record anthropic:9-9
      64. AI research evidence record grok:web:1
      65. AI research evidence record anthropic:25-15
      66. AI research evidence record openai:c6
      67. AI research evidence record openai:c8
      68. AI research evidence record anthropic:20-2
      69. AI research evidence record anthropic:22-1
      70. AI research evidence record anthropic:25-9
      71. AI research evidence record kimi:c1
      72. AI research evidence record google:sc_echowi_2026
      73. AI research evidence record anthropic:19-3
      74. AI research evidence record anthropic:23-2
      75. AI research evidence record perplexity:c2
      76. AI research evidence record openai:c5
      77. AI research evidence record openai:c6
      78. AI research evidence record openai:c7
      79. AI research evidence record anthropic:21-5
      80. AI research evidence record anthropic:2-1
      81. AI research evidence record anthropic:28-1
      82. AI research evidence record anthropic:21-2
      83. AI research evidence record anthropic:21-3
      84. AI research evidence record anthropic:43-2
      85. AI research evidence record anthropic:45-3
      86. AI research evidence record openai:c5
      87. AI research evidence record anthropic:21-5
      88. AI research evidence record anthropic:21-6
      89. AI research evidence record anthropic:2-7
      90. AI research evidence record anthropic:40-3
      91. AI research evidence record kimi:c1
      92. AI research evidence record kimi:c4
      93. AI research evidence record kimi:c6
      94. AI research evidence record deepseek:c1
      95. AI research evidence record anthropic:21-5
      96. AI research evidence record kimi:c4
      97. AI research evidence record kimi:c2
      98. AI research evidence record kimi:c3
      99. AI research evidence record kimi:c6
      100. AI research evidence record perplexity:c1
      101. AI research evidence record openai:c5
      102. AI research evidence record openai:c5
      103. AI research evidence record perplexity:c10
      104. AI research evidence record google:sc_arcai_pricing
      105. AI research evidence record anthropic:9-9
  • Scale and Expand Topic Research with Topic Explorer: https://www.seoclarity.net/blog/use-topic-explorer-effectively
  • Enterprise SEO Platform: https://www.seoclarity.net/platform/
  • Research Grid - Keyword Research and Discovery: https://www.seoclarity.net/research-grid/
  • Official pricing and terms source: https://www.seoclarity.net/ai-seo/pricing
  • Additional AI research evidence105 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:14-6
    3. AI research evidence record perplexity:c13
    4. AI research evidence record openai:c6
    5. AI research evidence record anthropic:15-12
    6. AI research evidence record perplexity:c10
    7. AI research evidence record anthropic:14-10
    8. AI research evidence record openai:c1
    9. AI research evidence record openai:c2
    10. AI research evidence record anthropic:21-4
    11. AI research evidence record anthropic:10-13
    12. AI research evidence record openai:c4
    13. AI research evidence record anthropic:31-8
    14. AI research evidence record anthropic:35-10
    15. AI research evidence record anthropic:2-1
    16. AI research evidence record google:sc_arcai_pricing
    17. AI research evidence record google:sc_echowi_2026
    18. AI research evidence record openai:c9
    19. AI research evidence record openai:c8
    20. AI research evidence record anthropic:21-5
    21. AI research evidence record deepseek:c1
    22. AI research evidence record deepseek:c3
    23. AI research evidence record kimi:c1
    24. AI research evidence record kimi:c4
    25. AI research evidence record kimi:c6
    26. AI research evidence record openai:c5
    27. AI research evidence record perplexity:c10
    28. AI research evidence record openai:c6
    29. AI research evidence record openai:c8
    30. AI research evidence record anthropic:20-2
    31. AI research evidence record anthropic:22-1
    32. AI research evidence record anthropic:25-9
    33. AI research evidence record google:sc_arcai_pricing
    34. AI research evidence record google:sc_rankability_2026
    35. AI research evidence record openai:c9
    36. AI research evidence record anthropic:4-1
    37. AI research evidence record openai:c1
    38. AI research evidence record openai:c2
    39. AI research evidence record openai:c3
    40. AI research evidence record anthropic:10-10
    41. AI research evidence record anthropic:32-11
    42. AI research evidence record anthropic:32-15
    43. AI research evidence record anthropic:32-16
    44. AI research evidence record anthropic:32-19
    45. AI research evidence record openai:c4
    46. AI research evidence record anthropic:31-8
    47. AI research evidence record anthropic:38-3
    48. AI research evidence record anthropic:38-2
    49. AI research evidence record openai:c5
    50. AI research evidence record anthropic:10-1
    51. AI research evidence record anthropic:14-6
    52. AI research evidence record anthropic:37-16
    53. AI research evidence record anthropic:11-6
    54. AI research evidence record openai:c6
    55. AI research evidence record openai:c7
    56. AI research evidence record anthropic:17-4
    57. AI research evidence record anthropic:35-10
    58. AI research evidence record anthropic:21-2
    59. AI research evidence record openai:c5
    60. AI research evidence record perplexity:c10
    61. AI research evidence record anthropic:9-7
    62. AI research evidence record anthropic:9-8
    63. AI research evidence record anthropic:9-9
    64. AI research evidence record grok:web:1
    65. AI research evidence record anthropic:25-15
    66. AI research evidence record openai:c6
    67. AI research evidence record openai:c8
    68. AI research evidence record anthropic:20-2
    69. AI research evidence record anthropic:22-1
    70. AI research evidence record anthropic:25-9
    71. AI research evidence record kimi:c1
    72. AI research evidence record google:sc_echowi_2026
    73. AI research evidence record anthropic:19-3
    74. AI research evidence record anthropic:23-2
    75. AI research evidence record perplexity:c2
    76. AI research evidence record openai:c5
    77. AI research evidence record openai:c6
    78. AI research evidence record openai:c7
    79. AI research evidence record anthropic:21-5
    80. AI research evidence record anthropic:2-1
    81. AI research evidence record anthropic:28-1
    82. AI research evidence record anthropic:21-2
    83. AI research evidence record anthropic:21-3
    84. AI research evidence record anthropic:43-2
    85. AI research evidence record anthropic:45-3
    86. AI research evidence record openai:c5
    87. AI research evidence record anthropic:21-5
    88. AI research evidence record anthropic:21-6
    89. AI research evidence record anthropic:2-7
    90. AI research evidence record anthropic:40-3
    91. AI research evidence record kimi:c1
    92. AI research evidence record kimi:c4
    93. AI research evidence record kimi:c6
    94. AI research evidence record deepseek:c1
    95. AI research evidence record anthropic:21-5
    96. AI research evidence record kimi:c4
    97. AI research evidence record kimi:c2
    98. AI research evidence record kimi:c3
    99. AI research evidence record kimi:c6
    100. AI research evidence record perplexity:c1
    101. AI research evidence record openai:c5
    102. AI research evidence record openai:c5
    103. AI research evidence record perplexity:c10
    104. AI research evidence record google:sc_arcai_pricing
    105. AI research evidence record anthropic:9-9

Independent Sources

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Study date
September 18, 2026
Platforms analyzed
7
Source records
57
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

31 independent · 26 company-owned

Evidence support

43 direct · 9 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 19137ea66abea8408b9a738ecf3f0c7147b8bd751ab1f01e7e153735ab4f91d3