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AI Consensus Fit Review

Frase AI SEO Tool Fit Review for Mid-Market Companies

Frase is a good fit for mid-market companies that want one content-led workflow spanning competitive SERP research, content briefs, optimization scoring, and AI-search visibility monitoring at self-serve pricing.

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

Answer Capsule

Frase is a good fit for mid-market companies that want one content-led workflow spanning competitive SERP research, content briefs, optimization scoring, and AI-search visibility monitoring at self-serve pricing. All seven platforms that named Frase in the ranking stage included it, and six of seven rated it a good fit; Kimi rated it mixed. The strongest reason to consider it is the integrated research-to-brief-to-optimization workflow with dual SEO and GEO scoring. The main limitation is that Frase is not a standalone SEO platform: it lacks independent keyword research, backlink intelligence, and technical SEO crawling, and public pricing, plan names, and AI-visibility inclusions conflict across sources.

Research Snapshot

FieldFinding
Platform mentions in ranking stage7 of 7 included platforms named Frase
Share of included platform responses100% (7 of 7)
Average listed rank4.0
Best listed rank2
Relevant product/model/planProfessional plan; Starter for single-site teams; Scale for multi-site or higher volume
Overall use-case fitGood (6 platforms); Mixed (1 platform) — 7 platforms analyzed
Research date2026-09-18

Why Frase Qualified for This Study

Questions This Section Answers

  • Is Frase a good choice for AI SEO Tools for Mid-Market Companies?
  • Why did every platform in this study include Frase in its mid-market AI SEO recommendations?

Frase qualified because every platform that produced a ranking named it, and the platform-level fit ratings were mostly positive. Seven platforms — Anthropic, DeepSeek, Google, Grok, Kimi, OpenAI, and Perplexity — named Frase during ranking discovery, a 100% mention share across included platform responses. Six rated the fit "good"; Kimi rated it "mixed" [1]. Frase's average listed rank was 4.0, with a best rank of 2 (Grok, Kimi, and Perplexity each placed it second).

The recurring qualification reason was workflow integration. Platforms described Frase as combining SERP research, brief generation, AI-assisted drafting, and optimization scoring in one document-centric workspace [2]. Independent reviewers describe the same pattern: Frase's clearest advantage is keeping research, outlining, and optimization in a single connected document workflow [3], and its strongest feature is the research-to-brief workflow combining SERP analysis, competitor insights, questions, and content recommendations in one place [5].

Frase also qualified on AI-search relevance. Multiple platforms noted dual SEO and GEO scoring, which distinguishes it from tools focused only on traditional search [6]. Frase's own materials describe AI Visibility tracking of buying-stage coverage, brand mentions, cited URLs, citation position, and competitor share of voice [8].

This is a fit review for one use case, not a broad company assessment. Frase's inclusion reflects platform-reported evidence, not independently verified product performance.

The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for Mid-Market Companies

Questions This Section Answers

  • Which Frase plan should a mid-market company choose if it needs multiple seats and higher content volume?
  • Is Frase Professional or Frase Scale the better fit for a mid-market team running more than one site?

The Professional plan is the most relevant starting point for a multi-person mid-market team, with Scale as the step-up for multi-site or higher-volume operations. Frase's own pricing page describes Professional as built for "in-house teams and growing SMBs" at $103/month billed yearly or $129/month month-to-month, including 3 seats, 5 sites, 40 articles, 250 audit pages, and 100 AI generations per month, with extra seats at $29/month each (official:C2). Scale is listed at $239/month yearly or $299/month monthly with 5 seats, up to 10 domains, 100 articles, 1,000 audit pages, and Claude and Gemini added to AI Visibility (official:C2).

Starter is positioned for "solos, freelancers, and single-site teams" at $39/month yearly or $49/month month-to-month (official:C2). OpenAI's fit research named Professional as the relevant plan and noted Starter may fit smaller teams while Scale suits multi-site or higher-volume teams [9]. Perplexity reached the same conclusion, naming Professional at $129/month monthly or $103/month billed yearly [10]. Grok named Professional at $103/month annually [11]. Google named Professional or Scale [12].

Plan naming is not consistent across sources. Anthropic's research referenced "Frase Starter plan ($49/month billed annually or $59/month monthly)" and a Professional plan at $129/month billed annually [13]. Kimi reported that the "Frase Pro" and "Scale Plan" names from the ranking stage may be discontinued, renamed, or conflated with current tiers, and that the exact AI SEO plan was unclear [14]. DeepSeek referenced "Basic, Professional, and Team/Scale plans" [15]. Independent coverage confirms a 2025–2026 restructuring from Solo/Basic/Team to Starter/Professional/Scale, with the entry tier moving from $15 to $49 [13].

Buyers should treat Professional as the working assumption for a mid-market team and confirm the current name, price, and inclusions at checkout.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Frase does best for mid-market AI SEO workflows?
  • Do AI platforms agree that Frase handles both SEO and AI-search (GEO) optimization?

Platforms agreed on four points: research-to-brief automation, integrated workflow, dual SEO/GEO scoring, and team-oriented plan structure.

Research-to-brief automation. OpenAI reported that Frase analyzes ranking pages, searcher questions, and content gaps, then produces structured briefs [17]. Anthropic's sources describe analyzing top-ranking pages to generate data-driven briefs and identify topic gaps [18]. DeepSeek reported SERP-based research that aggregates top-ranking pages and extracts common topics and questions [20]. Grok reported SERP analysis of top results, semantic gaps, and topic scores [21]. Google reported synthesis of competitor outlines and semantic topic gaps [22]. Frase's own documentation lists brief sections including Guidelines, Titles, People Also Ask, SERP results, Outline, Topics, Questions, Statistics, and Links [23].

Integrated workflow. Anthropic's sources describe consolidating SERP research, briefs, AI writing, optimization scoring, and competitor analysis into one document workflow [25]. Independent reviewers describe Frase compressing the research → outline → write → optimize cycle [28] and keeping research, outlining, and optimization in one connected document [27].

Dual SEO and GEO scoring. Anthropic's sources describe Frase as unique in optimizing for AI-engine citation, not just Google ranking, with a dual scoring system [29]. Google reported GEO scoring across ChatGPT, Claude, and Perplexity [22]. Grok reported tracking brand citations across ChatGPT, Perplexity, and Google AI [21]. OpenAI reported AI Visibility tracking buying-stage coverage, brand mentions, cited URLs, citation position, and competitor share of voice [30].

Team-oriented plan structure. OpenAI, Perplexity, Grok, and Google all identified Professional as the team tier with more seats, sites, and content volume than Starter [31].

Agreement here reflects consistent platform reporting, not proof of product quality or performance.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Do AI platforms disagree about whether Frase provides real AI-search visibility tracking?
  • How reliable is Frase's published pricing for mid-market budget planning?

The clearest disagreement concerns AI-search visibility. Kimi rated Frase a mixed fit, stating it "does not appear to offer dedicated tracking of AI Overviews, AI Mode, ChatGPT, Perplexity, or other LLM surfaces," and that competitors including SE Ranking ($129/month Core), Semrush One ($199/month Starter), and Profound ($99/month Starter) explicitly bundle this [34]. Kimi also cited Orion's classification of Frase as an "adjacent SEO platform" where AEO features are secondary [37]. DeepSeek similarly reported that dedicated AI-search/LLM visibility analytics were "not clearly evidenced" and should be verified [38].

This conflicts with OpenAI, Anthropic, Grok, Google, and Perplexity, which all reported AI Visibility or GEO features. Frase's own pages describe AI Visibility monitoring [39] and the pricing page lists AI Visibility on ChatGPT and Google AI in the trial, with Claude and Gemini added at Scale (official:C2). The most likely explanation is plan-tier and timing differences rather than a factual contradiction, but the supplied evidence does not resolve it. Buyers should verify engine coverage and plan inclusion directly.

Pricing conflicts. Reported figures include $39–$49/month (Starter), $103/month annual and $129/month monthly (Professional), $239/month annual and $299/month monthly (Scale), plus ranking-stage references to "Basic at $103/mo annually," "Core or Professional at an estimated $39–$99/month," "Frase Pro," and "Frase Team" [40]. OpenAI stated the ranking-stage figures are inconsistent with current public pricing and should not be used without verification [40]. DeepSeek rated pricing confidence low [45]; Kimi also rated it low and noted no official 2026 rate card was located [34].

Optimization depth. Some sources rate Frase's optimization guidance favorably [46]; others note Surfer SEO's 500+ web-signal scoring provides deeper optimization insight [48]. No independent benchmarking reconciles this.

Citation accuracy. Daily AI Reviews conducted hands-on testing in July 2026 and flagged citation verification as an area requiring attention, without quantifying error rates [49]. No independent audit of Frase's citation accuracy was located.

AI Agent features. Frase announced AI Agent capabilities in February 2026, but no independent review of reliability or output quality was located [49].

Customer base. Frase claims over 50,000 content teams and enterprise customers including Microsoft, Oracle, Coursera, and GitLab [50]. This is a company-presented claim; no independent verification was located. Frase presents a 4.8/5 rating across G2 and Capterra as social proof [51], which is also company-presented.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Frase cover competitive research, content briefs, topic discovery, and AI-search insights for mid-market teams?
  • What reporting can a mid-market team get from Frase without upgrading to Enterprise?

Frase covers five of the six category criteria well and one partially. The table below maps each criterion to the supplied evidence.

CriterionAssessmentEvidence
Competitive researchAdvantageSERP analysis of ranking pages, competitor gaps, questions, topics, and linked sources
Content briefsAdvantageStructured briefs with outlines, titles, People Also Ask, topics, questions, statistics, and links
Optimization recommendationsAdvantageReal-time SEO and GEO scoring, topic gap identification, audits, decay fixes
Topic discoveryMixedContent Opportunities and Topic Clusters exist, but Anthropic's sources report no dedicated keyword research tool and no topic cluster suggestions
AI-search insightsAdvantage with caveatsAI Visibility tracks mentions, cited URLs, citation position, buying-stage coverage, competitor share of voice; engine coverage varies by plan; Kimi and DeepSeek could not verify it
Practical reportingPartialProfessional and Scale add seats, domains, history, and AI-visibility capacity; exportable client-ready reports are Enterprise-only

Workflow and integrations. Frase publishes to WordPress, Webflow, Sanity, and Wix, or hosts through FraseCMS [52]. Frase advertises API, MCP, and CLI access on every plan [52]. Anthropic's sources note narrower native integrations than Surfer SEO, which integrates with Semrush, Ahrefs, Jasper, and Copy.ai [53].

Team collaboration. Professional and Scale include multiple seats, custom templates, and collaborative document editing [54].

Multi-language support. Frase supports more than 70 languages and locale variants, including Spanish, German, French, Portuguese, Italian, Dutch, and Japanese [56].

Search Console integration. Frase's SEO Analytics integrates with Google Search Console to identify performing and underperforming content [57].

Documented gaps. Frase lacks a dedicated keyword research tool and does not generate topic cluster strategies for content planning [58]. It does not provide backlink analysis, domain authority metrics, or comprehensive competitor research [59]. It does not offer technical SEO audits, site crawling, rank tracking, or redirect management [59]. It is document-centric and not designed for bulk product description generation or spreadsheet-based workflows [61]. AI drafts require human editing and subject-matter expertise [62].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Frase Professional cost per month, and what overage fees apply if a mid-market team exceeds its article limit?
  • What are Frase's cancellation, renewal, and refund terms for annual billing?

Frase's published self-serve pricing starts at $39/month yearly for Starter and $103/month yearly for Professional, but total cost depends heavily on seats, overages, and add-ons. Frase's pricing page lists Starter at $39/month billed yearly or $49/month month-to-month, and Professional at $103/month billed yearly or $129/month month-to-month (official:C2). Scale is listed at $239/month yearly or $299/month monthly (official:C2). Annual billing saves 20% [64].

Included limits. Starter: 1 seat, 1 site, 10 articles, 50 audit pages, 25 AI generations per month [65]. Professional: 3 seats, 5 sites, 40 articles, 250 audit pages, 100 AI generations per month (official:C2). Scale: 5 seats, up to 10 domains, 100 articles, 1,000 audit pages (official:C2).

Additional fees. Extra seats are $29/month each on Professional and Scale [65]. Professional pay-as-you-go overages are $5 per extra article, $0.50 per audit page, and $0.25 per AI prompt; Scale overages are $4, $0.40, and $0.20 (official:C2). Overages are off by default and must be enabled (official:C2). FraseCMS hosting is free at 100,000 page views per month, with Basic at $19/month and Pro at $99/month (official:C2). Anthropic's research also referenced a $35/month Pro Add-On for unlimited AI words and $3.50 per Rank-Ready auto-optimized draft [66]; these were not confirmed on the reviewed current pricing page.

Contract and cancellation terms. Frase's Terms of Service state the initial term is one year (or the term on the order form), with automatic renewal for equal periods unless either party gives at least 30 days' notice of non-renewal (official:C3). All fees paid are final with no refunds (official:C3). Frase reserves the right to change pricing at any time (official:C3). Monthly plans are billed in advance monthly (official:C3). A 7-day free trial without a credit card is offered [65]. Upgrades are prorated immediately; downgrades take effect at the next billing cycle (official:C2).

Pricing confidence. OpenAI rated pricing confidence moderate and stated the ranking-stage figures conflict with current public pricing [65]. DeepSeek rated it low [67]. Kimi rated it low and noted no official 2026 rate card was located [68]. Perplexity rated it moderate and noted third-party sources show legacy or conflicting tiers [69]. Anthropic rated it moderate and flagged hidden AI-word costs that could raise the effective entry cost [66]. Google rated it high [70]. The spread across platforms is itself the finding: buyers should verify at checkout.

Best Suited For

Questions This Section Answers

  • Who gets the most value from Frase for mid-market AI SEO content workflows?
  • Is Frase a good fit for a mid-market team that already has keyword research and technical SEO tools?

Frase fits mid-market content teams whose bottleneck is research and production speed, not keyword discovery or technical SEO. The platforms converged on a consistent profile.

In-house content and SEO teams that want one workflow from competitive SERP research through briefing, optimization, publishing, and AI-visibility monitoring [71]. Anthropic's sources describe Frase as best for content teams, freelance SEOs, and agencies needing faster SERP research, structured briefs, optimization, and AI-assisted drafting in one workspace [72].

Teams optimizing for both Google and AI answers. Frase's dual SEO and GEO scoring is the differentiator most platforms cited [73].

Organizations with existing keyword and technical SEO tools. Anthropic's sources state Frase works best as a specialized content tool within a larger SEO stack rather than a complete replacement [76]. OpenAI reached the same conclusion [71].

Teams with moderate content volume that can work within monthly article, audit, prompt, seat, and domain limits [71].

Agencies managing multiple client content projects needing team collaboration and custom templates [78].

Teams that value a shallow learning curve. Frase is noted for an intuitive interface and a structured workflow mirroring how SEO professionals create content [79].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Frase for AI SEO Tools for Mid-Market Companies?
  • Is Frase a poor fit for a mid-market company that needs enterprise governance or deep technical SEO?

Frase is a poor fit for buyers whose primary need is enterprise governance, deep technical SEO, or independently verified AI-search performance. The platforms were consistent on this.

Organizations requiring enterprise controls. SSO/SAML, white-label reporting, SLAs, dedicated management, and highly customized limits are positioned as Enterprise capabilities [81]. Anthropic's sources list enterprise SSO/SAML, white-label reporting, and formal procurement terms as gaps [82]. Perplexity's sources note formal enterprise procurement features are not clearly verified on the public pricing page [83].

SEO teams seeking a comprehensive technical SEO system of record. Frase does not offer technical SEO audits, site crawling, rank tracking, or redirect management [84]. It lacks backlink analysis, domain authority metrics, and comprehensive competitor research [85]. DeepSeek reported less depth in technical SEO crawling and site audits than dedicated platforms [86].

Companies needing independent evidence of ranking or AI-citation outcomes. The reviewed evidence is predominantly company-owned or platform-reported; Frase itself states it does not promise rankings or citations within the trial window [87].

E-commerce teams needing bulk product description generation. Frase is document-centric and not designed for bulk generation, CSV imports, or batch processing [88].

Teams with minimal content publishing frequency or sub-$100/month total SEO budgets. Anthropic's sources list this as a poor fit [82].

Teams needing proven AI-search monitoring depth. Kimi rated Frase mixed specifically because it could not verify dedicated AI Overviews, AI Mode, ChatGPT, or Perplexity tracking [89].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Frase for a mid-market buyer who needs bundled AI-search visibility tracking?
  • When should a mid-market company choose Semrush, Ahrefs, or Surfer SEO instead of Frase?

Another option may be better when the buyer's primary constraint is not content production speed. The platforms named specific alternatives with specific criteria.

When AI-search visibility tracking is the primary need. Kimi recommended SE Ranking Core at $129/month, which includes AI Overviews, AI Mode, ChatGPT, and Perplexity tracking [90], or Semrush One Starter at $199/month for unified SEO and AI visibility [91]. Kimi also cited Profound Agency Growth at $99/month-plus for dedicated AEO/GEO monitoring [92] and OmniSEO Professional at $349/month for 10-channel coverage [93].

When keyword research, backlink analysis, or technical SEO is the primary bottleneck. Anthropic's sources recommend Semrush, Ahrefs, or SE Ranking for keyword volume, difficulty, and topic clustering [94], and Ahrefs or Semrush for backlink, domain rating, and competitor intelligence [95]. Google's sources named Semrush or Ahrefs for comprehensive raw data [96].

When optimization depth is the primary concern. Anthropic's sources note Surfer SEO's 500+ web-signal scoring provides more granular guidance than Frase's topic-based approach [97]. Surfer also has stronger native integrations with Semrush, Ahrefs, Google Docs, WordPress, Jasper, and Copy.ai [98].

When the buyer needs a complete all-in-one SEO platform. Semrush or SE Ranking provide keyword research, rank tracking, content optimization, and technical audits in one subscription [94].

When budget is under $50/month with no add-ons. NeuronWriter at $19–$49/month offers similar content optimization with fewer upsells, though with less research depth [94].

When AI writing quality is the primary differentiator. Jasper at $39–$125/month offers stronger AI writing quality but lacks Frase's SERP research strength [94].

When the buyer needs enterprise-grade AI-search analytics and reporting. DeepSeek recommended dedicated AI-search monitoring vendors when cross-engine coverage, historical visibility data, governance, APIs, and reporting depth matter more than integrated content creation [99].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a mid-market buyer confirm with Frase before signing an annual contract?
  • Which Frase plan currently includes AI Visibility tracking, and how many engines are covered?

The platforms produced a consistent verification list. Buyers should confirm each item in writing before committing.

Pricing and plan names. Confirm the exact current monthly and annual price for Professional and Scale, whether quoted prices are before or after promotional discounts or taxes, and whether the plan names in any proposal match the current Starter/Professional/Scale structure [100].

AI Visibility inclusions. Confirm which plan includes AI Visibility, how many engines are covered by engine and geography, how many prompts and tracked competitors are included, and how much historical data is retained [100].

Usage limits and overages. Confirm the exact article, audit page, AI prompt, seat, domain, and CMS limits for the buyer's expected monthly volume, and the exact overage rates and spending controls [100].

Contract terms. Confirm renewal terms, the 30-day non-renewal notice requirement, the no-refund policy, and the cancellation process for annual billing [100].

Reporting and integrations. Confirm whether the plan includes exportable reports, scheduled reporting, Search Console or analytics integrations, and the required API or MCP access [100].

Citation methodology. Confirm how Frase measures AI citations, what constitutes a mention versus a citation, and how often prompts are refreshed [100].

Enterprise controls. Confirm whether SSO/SAML, roles, audit logs, data retention, and support SLAs are required for the buyer's security and procurement process [100].

Stack validation. Confirm whether the company can validate Frase's recommendations against its existing SEO stack before migrating workflows [100].

Trial scope. Confirm whether the 7-day trial is sufficient to test the workflow with the team's content types and volume [105].

Final AI Consensus Verdict

Frase is a good fit for mid-market companies that prioritize an integrated, content-led SEO and AI-search workflow at published self-serve pricing. Six of seven platforms rated the fit good; Kimi rated it mixed. The strongest consensus finding is that Frase's research-to-brief-to-optimization workflow is genuinely differentiated, and its dual SEO and GEO scoring addresses a real mid-market need as AI search reshapes content strategy.

The consensus also identifies clear boundaries. Frase is not a standalone SEO platform. Buyers should expect to maintain separate keyword research, backlink, and technical SEO tools. Reporting depth is limited below Enterprise. AI-search visibility inclusions vary by plan and are disputed by two platforms. Pricing and plan names conflict across sources and should be verified at checkout.

Professional is the most relevant starting point for a multi-person mid-market team, subject to confirming current price, quotas, engine coverage, reporting, and contract terms. Buyers whose primary constraint is content research and production speed will likely find Frase a strong fit. Buyers whose primary constraint is AI-search measurement, technical SEO, or enterprise governance should evaluate alternatives first.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms — Anthropic, DeepSeek, Google, Grok, Kimi, OpenAI, and Perplexity — each asked which AI SEO tools they would recommend for a mid-market company needing competitive research, content briefs, optimization recommendations, topic discovery, AI-search insights, and practical reporting. All seven named Frase during ranking discovery. Each platform then produced a structured fit assessment covering strengths, limitations, pricing, alternatives, and verification questions.

Platform responses were aggregated into the ranking statistics, agreement and disagreement sections, and the final verdict. Company-owned sources are labeled as such; independent sources are labeled separately in the Sources section. No personal testing, customer interviews, or independent benchmarking was performed. The research date is 2026-09-18.

Methodology Limitations

Several limitations apply. Platform-reported research dates differ from the authoritative run date: DeepSeek's response is dated 2026-06-12, while the other six platforms are dated 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.

All included platforms evaluated fit, but the platform-mentions count reflects only platforms that named Frase during ranking discovery. Agreement among AI platforms does not prove product quality or performance.

Conflicting product names, pricing, and capabilities were not resolved by guessing. Where sources conflict — including plan names, prices, AI-visibility inclusions, and optimization depth — the conflict is described and buyers are directed to verify.

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. DeepSeek's response was produced with search disabled, so its claims require explicit verification before being treated as current facts. The reviewed evidence is predominantly company-owned or platform-reported; independent validation of product accuracy, ranking impact, AI-citation lift, data coverage, and customer outcomes is limited.

See the broader AI SEO Tools for Mid-Market Companies consensus index for comparisons across qualified options.

Explore more ai seo content optimization guidance in the category directory.

Sources

Company-Owned Sources

  • Plans & Pricing | Frase Crash Course: https://docs.frase.io/get-started/plans-and-pricing
  • Frase Help Center: https://help.frase.io/
  • Create a Content Brief in Frase: https://help.frase.io/automated-content-brief-1
  • Create a Content Brief in Frase: https://help.frase.io/create-content-brief
  • AEO & AI Visibility Tools Compared — Feature Matrix | Orion: https://useorion.ai/compare
  • Frase — AI SEO content optimization and content briefs: https://www.frase.io
  • AI SEO Platform — Every Tool to Rank & Get Cited by AI: https://www.frase.io/features
  • AI Visibility Tracking: Monitor AI Mentions & Citations: https://www.frase.io/features/ai-visibility
  • SEO & Content Research Tool — Topic to Brief: https://www.frase.io/features/seo-research
  • Frase Plans and Pricing: https://www.frase.io/pricing
  • SEO Platform for Content Teams | SEO + GEO: https://www.frase.io/solutions/seo-teams
  • Official pricing and terms source: https://www.frase.io/company/terms
  • Additional AI research evidence105 records
    1. AI research evidence record kimi:src-4
    2. AI research evidence record openai:c1
    3. AI research evidence record anthropic:source-14-2
    4. AI research evidence record deepseek:c1
    5. AI research evidence record anthropic:source-18-13
    6. AI research evidence record anthropic:source-13-4
    7. AI research evidence record anthropic:source-24-4
    8. AI research evidence record openai:c6
    9. AI research evidence record openai:c2
    10. AI research evidence record perplexity:c2
    11. AI research evidence record grok:web:3
    12. AI research evidence record google:1.1.2
    13. AI research evidence record anthropic:source-5-12
    14. AI research evidence record kimi:src-4
    15. AI research evidence record deepseek:c2
    16. AI research evidence record google:1.1.9
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:source-1-6
    19. AI research evidence record anthropic:source-2-21
    20. AI research evidence record deepseek:c1
    21. AI research evidence record grok:web:11
    22. AI research evidence record google:1.1.2
    23. AI research evidence record anthropic:source-31-1
    24. AI research evidence record openai:c3
    25. AI research evidence record anthropic:source-10-6
    26. AI research evidence record anthropic:source-10-12
    27. AI research evidence record anthropic:source-14-2
    28. AI research evidence record anthropic:source-6-5
    29. AI research evidence record anthropic:source-13-4
    30. AI research evidence record openai:c6
    31. AI research evidence record openai:c2
    32. AI research evidence record perplexity:c6
    33. AI research evidence record grok:web:3
    34. AI research evidence record kimi:src-4
    35. AI research evidence record kimi:src-1
    36. AI research evidence record kimi:src-2
    37. AI research evidence record kimi:src-5
    38. AI research evidence record deepseek:c4
    39. AI research evidence record openai:c6
    40. AI research evidence record openai:c2
    41. AI research evidence record perplexity:c2
    42. AI research evidence record grok:web:3
    43. AI research evidence record google:1.1.2
    44. AI research evidence record anthropic:source-5-12
    45. AI research evidence record deepseek:c2
    46. AI research evidence record anthropic:source-21-8
    47. AI research evidence record anthropic:source-18-14
    48. AI research evidence record anthropic:source-16-11
    49. AI research evidence record anthropic:source-5-4
    50. AI research evidence record anthropic:source-13-9
    51. AI research evidence record openai:c7
    52. AI research evidence record openai:c4
    53. AI research evidence record anthropic:source-25-1
    54. AI research evidence record anthropic:source-16-6
    55. AI research evidence record openai:c2
    56. AI research evidence record anthropic:source-12-2
    57. AI research evidence record anthropic:source-7-3
    58. AI research evidence record anthropic:source-22-11
    59. AI research evidence record anthropic:source-14-6
    60. AI research evidence record anthropic:source-14-17
    61. AI research evidence record anthropic:source-34-2
    62. AI research evidence record anthropic:source-14-13
    63. AI research evidence record anthropic:source-21-1
    64. AI research evidence record perplexity:c3
    65. AI research evidence record openai:c2
    66. AI research evidence record anthropic:source-5-12
    67. AI research evidence record deepseek:c2
    68. AI research evidence record kimi:src-4
    69. AI research evidence record perplexity:c2
    70. AI research evidence record google:1.1.2
    71. AI research evidence record openai:c2
    72. AI research evidence record anthropic:source-14-3
    73. AI research evidence record anthropic:source-13-4
    74. AI research evidence record google:1.1.2
    75. AI research evidence record grok:web:11
    76. AI research evidence record anthropic:source-14-6
    77. AI research evidence record anthropic:source-14-17
    78. AI research evidence record anthropic:source-16-6
    79. AI research evidence record anthropic:source-30-1
    80. AI research evidence record anthropic:source-34-1
    81. AI research evidence record openai:c2
    82. AI research evidence record anthropic:source-5-12
    83. AI research evidence record perplexity:c2
    84. AI research evidence record anthropic:source-14-6
    85. AI research evidence record anthropic:source-14-17
    86. AI research evidence record deepseek:c4
    87. AI research evidence record openai:c5
    88. AI research evidence record anthropic:source-34-2
    89. AI research evidence record kimi:src-4
    90. AI research evidence record kimi:src-1
    91. AI research evidence record kimi:src-2
    92. AI research evidence record kimi:src-4
    93. AI research evidence record kimi:src-6
    94. AI research evidence record anthropic:source-22-11
    95. AI research evidence record anthropic:source-14-17
    96. AI research evidence record google:1.1.5
    97. AI research evidence record anthropic:source-16-11
    98. AI research evidence record anthropic:source-25-1
    99. AI research evidence record deepseek:c4
    100. AI research evidence record openai:c2
    101. AI research evidence record kimi:src-4
    102. AI research evidence record perplexity:c2
    103. AI research evidence record google:1.1.2
    104. AI research evidence record anthropic:source-5-4
    105. AI research evidence record anthropic:source-5-12

Independent Sources

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Study date
September 18, 2026
Platforms analyzed
7
Source records
51
Ranking mentions
7 of 7
Platform share
100%
Final consensus rank
#2

Research trail and source mix

Configured platforms

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

Source mix

38 independent · 13 company-owned

Evidence support

43 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 aa159e5377b347a1c9fcf8fb8f2013d2ac3ef1fdad546e8b630a685e55c37b8e