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AI Consensus Fit Review

Frase AI SEO Tool Fit Review for Content Gap Analysis

Frase is a good fit for AI SEO content gap analysis, according to the majority of the AI platforms reviewed.

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

Answer Capsule

Frase is a good fit for AI SEO content gap analysis, according to the majority of the AI platforms reviewed. All seven platforms named Frase during the ranking stage, giving it a 100% share of included platform responses, with an average listed rank of 6.14 and a best rank of 5. Its strongest advantage is an integrated workflow that fuses competitor gaps, Google Search Console data, content-decay signals, and programmatic patterns into a single prioritized opportunity feed that converts directly into briefs and drafts [1]. The main limitation is that its gap analysis is SERP- and topic-oriented rather than a deep entity or semantic-graph model, and its pricing and plan names are inconsistent across public sources [3].

Research Snapshot

FieldValue
Platform mentions in ranking stage7 of 7 included platforms (anthropic, deepseek, google, grok, kimi, openai, perplexity)
Share of included platform responses100%
Average listed rank6.14
Best listed rank5
Relevant product/model/planFrase Content Intelligence Platform, especially Content Opportunities, AI Agent, GEO/AI Visibility, and Professional or higher plans
Overall use-case fitGood (six platforms rated good or strong; one rated mixed)
Research date2026-09-18

Why Frase Qualified for This Study

Questions This Section Answers

  • Is Frase a good choice for AI SEO Tools for Content Gap Analysis?
  • How many AI platforms named Frase for content gap analysis in this study?

Frase qualified because every included platform named it during ranking discovery, and six of seven rated it a good or strong fit for this use case. The platform count is 7 of 7, a 100% share of included platform responses, with an average listed rank of 6.14 and a best rank of 5 (openai, anthropic, google, grok, kimi, deepseek, perplexity).

The fit ratings split as follows: grok rated Frase "strong"; openai, anthropic, deepseek, google, and perplexity rated it "good"; kimi rated it "mixed." No platform rated Frase as a poor fit, but kimi's mixed rating reflects a specific concern that Frase's gap analysis targets traditional SERP competitors rather than AI-search citation sources [5].

Frase is a content intelligence SaaS platform offering research, briefs, and AI writing on a self-serve, tiered subscription model [7]. It qualified for this study because its documented capabilities map directly onto the category criteria: analyzing competitor content, revealing gaps, prioritizing opportunities, and determining what to create or improve.

The Product, Model, Plan, or Service Most Relevant to AI SEO Tools for Content Gap Analysis

Questions This Section Answers

  • Which Frase plan should a buyer choose for collaborative content gap analysis?
  • Does Frase's Content Opportunities feature work on every plan or only higher tiers?

The most relevant offering is the Frase Content Intelligence Platform, specifically the Content Opportunities feature, the AI Agent, and GEO/AI Visibility tracking, generally on Professional or higher plans for team use [8].

Content Opportunities fuses four sources into one list: the buyer's Google Search Console data, competitor gap analysis, programmatic patterns, and content-decay signals [9]. Frase states that each opportunity receives an explainable score weighing potential traffic, estimated work, speed of payoff, and strategic fit, with Quick Wins, Growth, and Strategic views [8].

The AI Agent analyzes Search Console data, identifies ranked opportunities, researches topics, builds outlines, drafts content, and sends work for review [11]. Frase's own marketing describes the AI Agent as covering six stages of the SEO content pipeline: Research, Strategy, Write, Audit, Monitor, and Fix [12].

Platforms disagreed on which plan is required. Openai and perplexity both point to Professional or higher for collaborative gap analysis [8]. Kimi references a Team plan for collaborative gap analysis [13]. Frase's current public pricing page lists Starter, Professional, Scale, and Enterprise, and states that Content Opportunities is included on every plan [14]. Buyers should verify plan inclusion directly, because the reviewed evidence conflicts.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Frase does well for content gap analysis?
  • Does Frase connect gap discovery to content briefs and drafting?

Platforms broadly agreed on four points: Frase identifies competitor content gaps from SERP analysis, prioritizes opportunities, converts gaps into briefs, and adds AI-search visibility monitoring.

On gap discovery, Frase compares the buyer's content coverage against top-ranking pages and surfaces missing topics, long-tail phrases, questions including People Also Ask, and semantic gaps [15]. Frase's own documentation describes selecting Long Tail, then Topic Gap, to identify long-tail phrases present in competitor pages but not the buyer's page [19].

On prioritization, the Content Opportunities feature integrates Google Search Console data, competitor gap analysis, programmatic patterns, and content-decay signals into a single ranked list [20]. Independent review coverage states the dashboard identifies pages to Fix, Boost, or Fill using GSC and decay or quick-win detection [22].

On actionability, each opportunity can open a brief containing the target keyword, SERP analysis, and an optimization checklist [23]. Frase's brief generation is described as fast: enter a keyword and get competitor headings, related questions, topic clusters, and a suggested outline structure [24].

On AI-search relevance, Frase introduced GEO scoring in 2026 to evaluate how likely content is to be cited by AI engines including ChatGPT, Perplexity, and Gemini [25]. Current plan materials describe AI Visibility tracking for ChatGPT and Google AI on Starter, with Perplexity added on Professional and Claude and Gemini added on Scale [28]. The evidence supports monitoring visibility, not guaranteed inclusion or recommendation by AI systems [28].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Frase strong enough for AI-search citation gap analysis, or only traditional SERP gaps?
  • Can Frase analyze a competitor's entire website rather than just top-ranking pages?

Platforms disagreed most sharply on AI-search gap depth. Kimi rated Frase "mixed," stating that Frase does not appear to offer dedicated analysis of AI search citations, LLM answer sources, or generative recommendation platforms, and that its gap analysis targets traditional Google SERP competitors [29]. By contrast, google, grok, and anthropic treat GEO scoring and AI Visibility as genuine advantages for generative-answer relevance [32]. The conflict is partly definitional: Frase monitors visibility in AI engines, but the reviewed evidence does not establish reverse-engineering of AI answer construction.

Platforms also disagreed on competitor-analysis scope. MarketMuse's comparison states Frase is limited to the SERP only and that a buyer cannot investigate a competitor's website to get insight into its coverage or content strategy [35]. Frase's own materials describe entity-gap auditing based on top-performing and AI-cited pages [37], which is a narrower claim than full-site competitor analysis.

Uncertainty remains on prioritization methodology. Deepseek states that Frase's prioritization methodology is vendor-defined and not publicly benchmarked against third-party gap frameworks [38]. Openai notes that Frase's prioritization score is platform-defined and that buyers should validate whether its weighting matches their market, conversion economics, and content capacity [40].

Programmatic SEO capability is also contested. One independent reviewer states Frase is not designed for programmatic SEO and that its workflow is built around individual, in-depth documents [41]. Frase's own marketing references programmatic patterns and AI Agent workflows [43]. The discrepancy may reflect Frase's original workflow versus 2026 Agent capabilities, and buyers should verify expected volume directly.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • What gap-analysis features does Frase include for teams targeting both Google and AI search?
  • Does Frase provide real-time content scoring against competitor pages?

Frase's use-case capabilities center on four functions: competitor gap discovery, opportunity prioritization, brief generation, and dual-surface scoring for Google and AI search.

Competitor gap discovery works by scanning top search results using NLP, topic modeling, machine learning, and AI to clarify search intent, outline sections readers expect, and reveal content gaps [45]. Grok's review states Frase scans top 20 SERP results to extract headings, topics, questions, and word counts, surfacing gaps versus ranking pages [46].

Opportunity prioritization combines GSC data, competitor gaps, decay signals, and programmatic patterns into one scored list, eliminating manual CSV reconciliation [48]. Frase states it identifies gaps and presents opportunities ranked by potential [51].

Brief generation extracts competitor headings, related questions, topic clusters, and suggested outline structure [52]. The AI Agent can autonomously identify gaps, prioritize opportunities, research topics, build optimized outlines, draft content, and route to review [51].

Real-time scoring provides live Content Score feedback on word count, headings, and topic coverage as the writer drafts [56]. Frase also scores drafts for AI search and names the changes that make a page easier to quote [57]. Grok describes a real-time Content Score and GEO Score comparing drafts to SERP leaders for topic coverage and AI citation likelihood [46].

Documented limitations include SERP-only competitor analysis [58], no keyword-difficulty or backlink research [60], and AI drafts that regularly need thorough human editing to be engaging, accurate, and unique [61].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Frase cost per month, and are there setup or cancellation fees?
  • What overage fees apply if a Frase plan exceeds its monthly article or audit-page limits?

Frase's current public pricing page lists Starter at $39/month billed yearly or $49/month month-to-month, Professional at $103/month billed yearly or $129/month month-to-month, Scale at $239/month billed yearly or $299/month month-to-month, and Enterprise as custom [63]. Annual billing saves 20%, and a seven-day free trial with no credit card is advertised [63].

Plan limits differ by tier. Starter includes 1 seat, 1 site, 10 articles, and 50 audit pages monthly. Professional includes 3 seats, 5 sites, 40 articles, and 250 audit pages monthly. Scale includes 5 seats, up to 10 domains, 100 articles, and 1,000 audit pages monthly [63].

Additional fees include extra seats at $29/month on Professional and Scale, optional pay-as-you-go overages, and FraseCMS hosting add-ons. Professional overages run $5 per extra article, $0.50 per audit page, and $0.25 per AI prompt; Scale overages run $4, $0.40, and $0.20 [63]. FraseCMS hosting is free up to 100,000 monthly page views, with paid add-ons listed at $19/month Basic and $99/month Pro [63].

Contract terms carry material caveats. Frase's Terms of Service state the initial term is one year, auto-renews for equal periods unless either party gives at least 30 days' notice of non-renewal, and that all fees paid are final with no refunds (official:C3). The pricing page states annual billing saves 20%, monthly switching is available, upgrades are prorated immediately, and downgrades take effect at the next billing cycle [63].

Pricing evidence conflicts across sources. The supplied evaluation brief references a Team plan at $44.99/month annual billing, while the current public pricing page lists Starter, Professional, Scale, and Enterprise with different prices [63]. Anthropic's research cites Starter/Solo at roughly $14.99–$15/month, Basic at roughly $44.99–$45/month, and Professional/Team at roughly $114.99–$115/month, with a $35/month Pro Add-On [66]. Google's research states Frase restructured pricing in 2026, retiring Solo, Basic, and Team in favor of Starter, Professional, and Scale [68]. Perplexity rates pricing confidence as low because public sources disagree materially [64]. Buyers should treat all figures as requiring direct verification.

Best Suited For

Questions This Section Answers

  • Who gets the most value from Frase for content gap analysis?
  • Is Frase a good fit for in-house content teams that need gap analysis tied to briefs?

Frase is best suited to in-house content teams and growing businesses that want prioritized gap analysis connected directly to briefing and drafting [72]. Teams targeting both conventional search and AI-search visibility through SEO, GEO, and AI Visibility workflows are a strong match [74].

Organizations that value Google Search Console integration, content-decay detection, and one-click movement from opportunity to brief fit well [72]. Mid-market teams with roughly 3–10 content creators seeking collaborative research and optimization scoring are also a documented fit [79].

Buyers who need FAQ and topic gaps derived from SERP competitors alongside AI-answer visibility tracking align with Frase's documented strengths [81]. Teams already producing content at volume that want gap insight embedded in the production workflow are another strong match [83].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Frase for AI SEO Tools for Content Gap Analysis?
  • Is Frase suitable for buyers who need deep backlink or keyword-difficulty research?

Frase is probably not the best fit for buyers needing independently benchmarked competitor-data breadth, deep backlink or keyword intelligence, or highly customizable enterprise data science [84]. It does not include keyword difficulty scoring or backlink research and complements rather than replaces dedicated tools like Ahrefs or Semrush [85].

Teams executing pure programmatic SEO targeting thousands of templated long-tail variations are a poor fit, because Frase's workflow is built around individual, in-depth documents [86]. Buyers seeking minimal AI-output editing should also look elsewhere, since independent reviewers note drafts regularly require thorough human rewriting [88].

Solo bloggers or single-author sites on minimal budgets may find lower-tier caps restrictive, and one reviewer states the Pro Add-On is practically essential for serious content volume [90]. Buyers requiring guaranteed citations, rankings, or recommendation-platform outcomes should not expect those guarantees, because the evidence supports monitoring visibility only [91].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Frase for website-level competitor analysis?
  • When should a buyer choose a specialized AI-visibility tracker instead of Frase?

Another option may be better when the primary requirement is deep keyword, backlink, SERP, market-share, and competitor research rather than an integrated content-production workflow [92]. MarketMuse offers Heatmap and Compete tools to analyze entire competitor websites, not just SERP rankings, which suits strategic content audits and topic inventory management [94].

A specialized AI-search visibility provider may be better when detailed cross-engine prompt tracking, entity monitoring, citation-source analysis, or recommendation-platform coverage matters more than content briefing and drafting [92]. WriteWorks and TopicRanker's LLM Gap Analyzer are cited as offering explicit AI citation gap analysis across multiple platforms [96].

Surfer SEO is described as the closest competitor, stronger on technical data visualization but weaker on AI writing generation [98]. A lower-cost point solution may be better when the buyer only needs occasional content-gap exports without AI writing, briefs, publishing, or ongoing decay monitoring [92]. Georion's Keyword Gap and MyCreonix are cited as lower-cost alternatives for budget-conscious gap analysis [100].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Frase before signing a contract?
  • Which competitor domains and AI engines does Frase's gap analysis actually cover?

Buyers should confirm the following before purchase, based on the questions platforms raised and the conflicts in the evidence.

Which exact competitor domains, SERP sources, countries, languages, and search intents are included in gap analysis, and how frequently competitor rankings and content inventories refresh [102]. Whether the prioritization formula can be customized using revenue, conversion value, business priority, or difficulty thresholds [102].

Which AI engines and recommendation platforms are available for the buyer's target audience, how many prompts are included at the selected plan, and whether AI Visibility reports citations and source URLs or only brand presence [104]. The exact overage rates for audit pages, AI prompts, and AI generations [104].

Whether the selected plan includes Content Opportunities, GEO scoring, and AI Agent features, or whether some are gated to higher tiers [106]. Whether the free seven-day trial includes full access to Content Opportunities, GEO scoring, and AI Agent features (official:C2).

The exact current pricing for Starter, Professional, and Scale, and whether annual billing applies, given that public sources disagree materially [108]. Cancellation, refund, and auto-renewal terms, given that Frase's Terms of Service state a one-year initial term, automatic renewal, and no refunds (official:C3).

Whether the buyer's editorial workflow requires unlimited real-time collaboration or whether document sharing is sufficient, and how much human editing AI-generated content requires for the buyer's content type [112]. Whether Frase integrates with the buyer's existing CMS, analytics, or marketing stack, or whether briefs and data can be exported for integration elsewhere [112].

Final AI Consensus Verdict

Frase is a good fit for AI SEO Tools for Content Gap Analysis, with six of seven platforms rating it good or strong and one rating it mixed. All seven platforms named it during ranking discovery, giving it a 100% share of included platform responses, an average listed rank of 6.14, and a best rank of 5.

The strongest reason to consider Frase is its integrated workflow: it fuses competitor gaps, Google Search Console data, content-decay signals, and programmatic patterns into a single prioritized opportunity feed that converts directly into briefs, drafts, optimization, and publishing [114]. The main limitation is that its gap analysis is SERP- and topic-oriented rather than a deep entity or semantic-graph model, and it does not replace dedicated keyword or backlink research [117].

Buyers should validate competitor-data coverage, scoring usefulness, prompt coverage, and total usage cost in a trial before purchase [114]. Buyers seeking the deepest independent competitive intelligence or broader recommendation-platform analytics may need a complementary or alternative tool [114]. AI-platform agreement on fit does not prove product quality; it reflects consistent positioning across the reviewed responses.

How This Review Was Produced

This review was produced from a structured multi-platform research run dated 2026-09-18. Seven AI platforms evaluated Frase's fit for AI SEO Tools for Content Gap Analysis: anthropic, deepseek, google, grok, kimi, openai, and perplexity. Each platform returned a fit rating, use-case findings, strengths, limitations, pricing and terms, and questions to verify before buying.

Ranking statistics were calculated from the ranking stage, where all seven platforms named Frase. Fit ratings were aggregated as reported: grok "strong"; openai, anthropic, deepseek, google, and perplexity "good"; kimi "mixed." Citations are platform-reported evidence, not independently verified facts. Company-owned sources are labeled as owned; independent reviews and directories are labeled as independent.

Methodology Limitations

Several limitations apply. Platform-reported research dates differ from the authoritative run date: deepseek's research date is 2026-01-15, while the other six platforms report 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. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Pricing and plan names conflict across sources, and this review does not resolve those conflicts by guessing. Frase's public pages describe competitor-gap analysis and AI Visibility, but the reviewed evidence does not provide independent outcome data or a detailed methodology for gap completeness and scoring [120]. The current public pricing page and feature pages are company-owned sources; independent corroboration of pricing, limits, and performance was not established in the reviewed evidence [121].

Deepseek's research ran without search enabled, so its claims require explicit verification before being described as current facts. No independent benchmark validates the accuracy of Frase's opportunity prioritization scoring [123]. AI Visibility tracks monitored prompts and engines but does not guarantee citations, recommendations, rankings, traffic, or conversions [121].

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

Sources

Company-Owned Sources

  • Content Gap Analysis Tool — Find Keywords Competitors Rank For: https://aiseo.guru/features/content-gaps/
  • Plans & Pricing | Frase Crash Course: https://docs.frase.io/get-started/plans-and-pricing
  • Keyword Gap Tool: Keyword Gap | Georion: https://georion.app/tools/paid/keyword-gap
  • Frase Pricing, Packages, and Add-ons - Help Center: https://help.frase.io/pricing-plans
  • Content Gap Analysis: Find the Gaps, Get a Plan: https://manus.im/solutions/seo/content-gap-analysis
  • Frase — AI Content Optimization and SEO Content Briefs: https://www.frase.io
  • Frase — AEO / AI Search Tracking: https://www.frase.io/aeo
  • What Is Agentic SEO? Definition + 5 Criteria (2026) | Frase: https://www.frase.io/blog/ai-agents-for-seo
  • Best AI SEO Agents in 2026 (Ranked by What They Actually Automate) | Frase: https://www.frase.io/blog/best-ai-seo-agents-2026
  • Content Optimization Is Dead. Here's What Replaced It (2026) | Frase: https://www.frase.io/blog/content-optimization-is-dead
  • The Agency Playbook for AI Content Services in 2026: https://www.frase.io/blog/how-agencies-sell-ai-content-services
  • The New Frase: Your Content Intelligence Platform for the AI Search Era: https://www.frase.io/blog/introducing-the-new-frase-content-intelligence-platform
  • How To Do An SEO Competitor Analysis And Beat The Competition | Frase: https://www.frase.io/blog/seo-competitor-analysis
  • Frase Features — Content Research, Briefs, and AI Writing: https://www.frase.io/features
  • Content Opportunities | Know What to Write Next — Frase: https://www.frase.io/features/content-opportunities
  • GEO Content Optimization Tool | Cited by AI: https://www.frase.io/features/geo-content-optimization
  • Frase Plans and Pricing: https://www.frase.io/pricing
  • Content Optimization for Content Teams | Plan, Write, Get Cited: https://www.frase.io/solutions/content-marketers
  • Content Gap Analysis Tool for AI Search — Find the Answers You're Missing: https://www.writeworks.ai/platform/features/opportunities
  • Official pricing and terms source: https://www.frase.io/company/terms
  • Additional AI research evidence123 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:30-4
    3. AI research evidence record anthropic:32-4
    4. AI research evidence record perplexity:c2
    5. AI research evidence record kimi:frase-official
    6. AI research evidence record kimi:writeworks-ai
    7. AI research evidence record deepseek:frase_home
    8. AI research evidence record openai:c1
    9. AI research evidence record anthropic:30-4
    10. AI research evidence record perplexity:c1
    11. AI research evidence record openai:c2
    12. AI research evidence record anthropic:38-3
    13. AI research evidence record kimi:frase-official
    14. AI research evidence record openai:c3
    15. AI research evidence record anthropic:2-2
    16. AI research evidence record anthropic:2-4
    17. AI research evidence record anthropic:4-2
    18. AI research evidence record anthropic:7-1
    19. AI research evidence record anthropic:28-3
    20. AI research evidence record anthropic:2-1
    21. AI research evidence record anthropic:30-4
    22. AI research evidence record perplexity:c9
    23. AI research evidence record openai:c1
    24. AI research evidence record anthropic:33-12
    25. AI research evidence record anthropic:25-12
    26. AI research evidence record anthropic:22-1
    27. AI research evidence record anthropic:22-2
    28. AI research evidence record openai:c3
    29. AI research evidence record kimi:frase-official
    30. AI research evidence record kimi:writeworks-ai
    31. AI research evidence record kimi:semrush-llm
    32. AI research evidence record google:1.3.4
    33. AI research evidence record grok:0
    34. AI research evidence record anthropic:22-1
    35. AI research evidence record anthropic:32-4
    36. AI research evidence record anthropic:32-5
    37. AI research evidence record google:1.3.5
    38. AI research evidence record deepseek:frase_features
    39. AI research evidence record deepseek:g2_frase
    40. AI research evidence record openai:c1
    41. AI research evidence record anthropic:44-1
    42. AI research evidence record anthropic:44-4
    43. AI research evidence record anthropic:30-4
    44. AI research evidence record anthropic:38-3
    45. AI research evidence record anthropic:4-2
    46. AI research evidence record grok:1
    47. AI research evidence record grok:3
    48. AI research evidence record anthropic:2-1
    49. AI research evidence record anthropic:2-2
    50. AI research evidence record anthropic:30-4
    51. AI research evidence record anthropic:5-1
    52. AI research evidence record anthropic:2-4
    53. AI research evidence record anthropic:2-9
    54. AI research evidence record anthropic:33-12
    55. AI research evidence record anthropic:38-3
    56. AI research evidence record anthropic:4-3
    57. AI research evidence record anthropic:22-2
    58. AI research evidence record anthropic:32-4
    59. AI research evidence record anthropic:32-5
    60. AI research evidence record anthropic:1-11
    61. AI research evidence record anthropic:9-5
    62. AI research evidence record anthropic:37-1
    63. AI research evidence record openai:c3
    64. AI research evidence record perplexity:c2
    65. AI research evidence record kimi:frase-official
    66. AI research evidence record anthropic:11-1
    67. AI research evidence record anthropic:13-7
    68. AI research evidence record google:1.1.1
    69. AI research evidence record google:1.2.3
    70. AI research evidence record perplexity:c4
    71. AI research evidence record perplexity:c6
    72. AI research evidence record openai:c1
    73. AI research evidence record anthropic:2-4
    74. AI research evidence record anthropic:1-11
    75. AI research evidence record anthropic:22-1
    76. AI research evidence record google:1.3.4
    77. AI research evidence record anthropic:30-4
    78. AI research evidence record perplexity:c9
    79. AI research evidence record anthropic:11-1
    80. AI research evidence record anthropic:13-7
    81. AI research evidence record deepseek:frase_features
    82. AI research evidence record deepseek:frase_aeo
    83. AI research evidence record deepseek:frase_home
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:1-11
    86. AI research evidence record anthropic:44-1
    87. AI research evidence record anthropic:44-4
    88. AI research evidence record anthropic:9-5
    89. AI research evidence record anthropic:37-1
    90. AI research evidence record anthropic:43-1
    91. AI research evidence record openai:c3
    92. AI research evidence record openai:c1
    93. AI research evidence record anthropic:1-11
    94. AI research evidence record anthropic:32-4
    95. AI research evidence record anthropic:32-5
    96. AI research evidence record kimi:writeworks-ai
    97. AI research evidence record kimi:semrush-llm
    98. AI research evidence record anthropic:18-3
    99. AI research evidence record anthropic:18-4
    100. AI research evidence record kimi:georion-gap
    101. AI research evidence record kimi:mycreonix-gap
    102. AI research evidence record openai:c1
    103. AI research evidence record deepseek:frase_features
    104. AI research evidence record openai:c3
    105. AI research evidence record deepseek:frase_aeo
    106. AI research evidence record perplexity:c1
    107. AI research evidence record anthropic:43-1
    108. AI research evidence record perplexity:c2
    109. AI research evidence record perplexity:c4
    110. AI research evidence record perplexity:c6
    111. AI research evidence record anthropic:13-7
    112. AI research evidence record anthropic:44-1
    113. AI research evidence record anthropic:9-5
    114. AI research evidence record openai:c1
    115. AI research evidence record anthropic:30-4
    116. AI research evidence record anthropic:2-4
    117. AI research evidence record anthropic:32-4
    118. AI research evidence record anthropic:1-11
    119. AI research evidence record kimi:writeworks-ai
    120. AI research evidence record openai:c1
    121. AI research evidence record openai:c3
    122. AI research evidence record openai:c4
    123. AI research evidence record deepseek:frase_features

Independent Sources

Verify this research

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

Study date
September 18, 2026
Platforms analyzed
7
Source records
51
Ranking mentions
7 of 7
Platform share
100%
Final consensus rank
#1

Research trail and source mix

Configured platforms

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

Source mix

29 independent · 22 company-owned

Evidence support

31 direct · 10 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 c4b323a62cab972db6a1147429164b48e776a1190542e3a1afc31261165b8650