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AI Consensus Fit Review

Semrush AI SEO Tool Fit Review for Content Gap Analysis

Semrush is a good fit for AI SEO Tools for Content Gap Analysis, especially for companies that want traditional keyword-gap workflows and emerging AI-search visibility gaps in one platform.

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

Answer Capsule

Semrush is a good fit for AI SEO Tools for Content Gap Analysis, especially for companies that want traditional keyword-gap workflows and emerging AI-search visibility gaps in one platform. Six of seven platforms named Semrush during the ranking stage, and it finished with an average listed rank of 2.17 and a best rank of 1. The strongest reason to consider it is the combination of the AI Visibility Toolkit, the LLM Gap Analyzer, and the Keyword Gap tool, which together address both conventional and generative-answer gaps. The main limitation is that the most useful capabilities are split across separate products, plans, and add-ons, so total cost and feature entitlements require verification before purchase.

Research Snapshot

FieldValue
Platform mentions in ranking stage6 of 7 platforms
Share of included platform responses85.7%
Average listed rank2.17
Best listed rank1
Relevant product/model/planSemrush AI Visibility Toolkit combined with SEO Toolkit Guru or Business; LLM Gap Analyzer as a lower-cost supplemental option
Overall use-case fitGood
Research date2026-09-18

Why Semrush Qualified for This Study

Questions This Section Answers

  • Is Semrush a good choice for AI SEO Tools for Content Gap Analysis?
  • Which Semrush products are relevant to AI content gap analysis?

Semrush qualified because it was named by six of the seven platforms included in the ranking stage, giving it an 85.7% share of included platform responses and an average listed rank of 2.17 [1]. It earned the top listed position on three platforms and never fell below fifth.

The platform's relevance to this use case rests on three distinct capabilities. The AI Visibility Toolkit reports competitor mentions, citations, topic coverage, and Topic & Prompt Gaps where competitors appear in AI answers but the buyer does not [1]. The LLM Gap Analyzer analyzes competitor AI-cited content and existing content for missing facts, weak E-E-A-T signals, outdated information, and suggested additions or replacements [8]. The Keyword Gap tool supports comparisons across domains and, on Guru and Business, specific URLs, subdomains, or subfolders [10].

Semrush also explicitly recognizes AI visibility gaps as a category distinct from traditional content gaps, which aligns directly with the buyer's stated need to analyze gaps across AI search, generative-answer, and recommendation platforms [11].

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

Questions This Section Answers

  • Which Semrush plan should a buyer choose if they need both Keyword Gap and AI visibility features?
  • Is the Semrush LLM Gap Analyzer enough on its own for content gap analysis?

The most complete match for this use case is the AI Visibility Toolkit combined with SEO Toolkit Guru or Business, with the LLM Gap Analyzer as a lower-cost supplemental option [13]. The AI Visibility Toolkit provides competitor benchmarking, mentions, citations, topic coverage, and Topic & Prompt Gaps for AI-search analysis [14]. The LLM Gap Analyzer is a narrower, more usage-limited tool that analyzes specific articles, keywords, and prompts [17].

Platforms described the relevant product differently. OpenAI recommended the AI Visibility Toolkit combined with SEO Toolkit Guru or Business, noting that LLM Gap Analyzer is a lower-cost supplemental option. Anthropic listed the LLM Gap Analyzer at $49/month, the AI Visibility Toolkit at $99/month per domain, the Keyword Gap tool, Content Optimizer, Semrush One tiers, and SEO Classic plans. DeepSeek described the AI Visibility Toolkit including LLM Gap Analyzer plus SEO Toolkit Keyword Gap and Content Toolkit. Grok named only the LLM Gap Analyzer. Google named the LLM Gap Analyzer as an App Center add-on and the AI Visibility Toolkit. Perplexity named the AI Visibility Toolkit, LLM Gap Analyzer, and SEO Toolkit with Keyword Gap workflows. Kimi named the LLM Gap Analyzer, AI Visibility Toolkit, and Keyword Gap plus Content Optimizer and Topic Research, with full AI features requiring Business plan or higher.

This variation is itself a finding: the product naming and bundling are not described consistently across platforms, and buyers should confirm which specific product or plan includes the capabilities they need.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Semrush does well for content gap analysis?
  • Does Semrush cover both traditional SEO gaps and AI-search gaps?

Platforms broadly agreed on several points. First, Semrush combines traditional SEO content-gap analysis with AI-search visibility analysis. OpenAI described the platform as spanning conventional keyword, URL, topic, and competitor content-gap workflows alongside AI visibility gaps [18]. Anthropic described the Keyword Gap tool as providing Missing, Weak, and Untapped categories alongside AI visibility gaps [20]. Perplexity described the AI Visibility Toolkit as explicitly positioned to discover AI mentions, citations, opportunities, and competitor gaps [24].

Second, platforms agreed that Semrush tracks AI visibility gaps across multiple named platforms. Anthropic reported tracking across ChatGPT, Gemini, Google AI Overviews, and Google AI Mode, with the Brand Performance report also tracking Perplexity [25]. Google reported coverage across ChatGPT, Perplexity, Gemini, and Google's AI Mode [28].

Third, platforms agreed that the LLM Gap Analyzer provides content-level diagnostic guidance. OpenAI described it as analyzing competitor AI-cited content and existing content for missing facts, weak E-E-A-T signals, outdated information, and suggested additions or replacements [29]. Anthropic described it as mapping content gaps by analyzing why competitor pages are consistently chosen as sources in AI systems [30]. Grok described it as identifying missing facts, weak E-E-A-T signals, and outdated information in AI-cited sources [32].

Fourth, platforms agreed that Semrush integrates gap discovery with content execution workflows. Anthropic described the AI Visibility Toolkit as including Prompt Research for discovering questions audiences ask AI platforms, plus Content Optimizer and SEO Writing Assistant [34]. Perplexity noted that broader Semrush workflows can connect gap discovery to content optimization and topic research in higher plans [36].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How many AI platforms does Semrush actually cover for content gap analysis?
  • Is Semrush pricing for AI gap features clearly bundled or sold separately?

Platforms disagreed or were uncertain on several material points. The most significant disagreement concerns AI platform coverage breadth. Anthropic reported tracking across ChatGPT, Gemini, Google AI Overviews, Google AI Mode, and Perplexity [38]. Google reported coverage across ChatGPT, Perplexity, Gemini, and Google's AI Mode [41]. However, Kimi reported that the LLM Gap Analyzer covers only two engines, Google AI Overview and ChatGPT, and found no evidence of Perplexity, Claude, Gemini, Bing Copilot, or other emerging AI platform coverage [42]. OpenAI noted that Semrush's public materials describe supported AI platforms but do not establish exhaustive coverage of all platforms relevant to the buyer [43]. Perplexity similarly stated that the exact breadth across all recommendation platforms is unclear from the sources checked [44].

This is a genuine conflict, not a minor variation. Buyers whose use case depends on coverage of specific AI platforms should verify the current supported-platform list directly with Semrush rather than relying on any single platform's description.

Platforms also disagreed on pricing structure and bundling. OpenAI listed the AI Visibility Toolkit at $99/month and the LLM Gap Analyzer at $49/month after a 7-day trial [46]. Anthropic listed the same figures but noted that base plans do not include AI Visibility features and that the add-on increases real cost significantly [48]. DeepSeek reported the AI Visibility Toolkit at $49/month after a 7-day trial, which conflicts with the $99/month figure reported by OpenAI, Anthropic, Perplexity, and Google [49]. Perplexity reported the AI Visibility Toolkit at $99/month per domain billed annually [50]. Google reported the same $99/month per domain figure with 25 tracked prompts [51].

The $49 versus $99 discrepancy for the AI Visibility Toolkit is unresolved in the supplied evidence. The $49/month figure appears consistently for the LLM Gap Analyzer across OpenAI, Anthropic, Grok, Perplexity, and Google [46], but the AI Visibility Toolkit price is reported inconsistently.

Platforms were also uncertain about plan tiering. DeepSeek stated that the exact plan level required for Keyword Gap and Content Toolkit capabilities is not clearly confirmed in cited pages, and that the ranking-stage claim that Keyword Gap sits in the Business plan or higher is not fully verified [56]. OpenAI noted that the supplied ranking-stage recommendation mentions Business or higher for Keyword Gap, Content Optimizer, and Topic Research, while Semrush's current SEO Toolkit page shows some content features beginning at Guru [57]. Kimi stated that AI Visibility Toolkit features may be fragmented across plan tiers [42].

Finally, platforms were uncertain about independent validation. OpenAI stated that independent validation of Semrush's AI content-gap accuracy, prioritization quality, and business outcomes was not identified in the sources checked. DeepSeek noted that third-party review aggregations exist but are directory or review aggregation rather than controlled studies of content-gap accuracy [58]. Anthropic noted that AI visibility metrics and AI-generated recommendations are not independently proven in the cited materials to produce better rankings, citations, traffic, or conversions.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • What specific features does Semrush offer for AI content gap analysis?
  • Can Semrush analyze competitor content gaps across URLs and subfolders?

Semrush's use-case-specific capabilities fall into four areas.

AI-search competitor gap analysis. The AI Visibility Toolkit reports competitor mentions, citations, topic coverage, and Topic & Prompt Gaps where competitors appear in AI answers but the buyer does not [59]. It allows comparison against up to four competitors in analysis [61]. Prompt Research exposes related AI-search topics, estimated AI Topic Volume, difficulty, and intent [59]. The Brand Performance report tracks Perplexity in addition to ChatGPT, Gemini, and Google AI Mode [63].

Traditional SEO content-gap analysis. Keyword Gap supports comparisons across domains and, on Guru and Business, specific URLs, subdomains, or subfolders, with report limits of up to 10,000, 30,000, or 50,000 results for Pro, Guru, and Business respectively [64]. It compares up to five competitor domains simultaneously [65]. It categorizes gaps as Missing (all competitors rank but you do not), Weak (you rank lower), or Untapped (one competitor ranks but you do not) [67]. Independent analysis described Untapped keywords as the clearest content gap opportunities and Missing keywords as priority targets when all competitors rank but the buyer does not [70].

Content improvement guidance. The LLM Gap Analyzer analyzes competitor AI-cited content and existing content for missing facts, weak E-E-A-T signals, outdated information, and suggested additions or replacements [72]. It advertises 30 AI Content Gap Analyses and 30 Existing Content Analyses per month [72]. It dissects a live AI answer into its sources, claims, and construction logic, then converts weaknesses into article improvement instructions [73]. It rates corrected claims, weak and unsourced claims, and identifies content gaps versus competitors [74]. Kimi described a Claim Analysis tab that rates AI claims as strong, corrected, or weak/unsourced with reasoning [75].

Workflow breadth. Semrush can combine AI Visibility reports with keyword research, competitor analysis, content optimization, site auditing, and position tracking [76]. The SEO Toolkit page lists Topic Research and SEO Writing Assistant in Guru, with higher limits and API access in Business [76]. The Content Toolkit includes an AI search optimization feature analyzing draft content against factors correlated with higher citation rates in AI answers [78].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Semrush cost per month for AI content gap analysis, and are there setup or cancellation fees?
  • What additional fees apply to Semrush AI Visibility Toolkit users and domains?

Pricing is modular and reported inconsistently across platforms, so buyers should treat all figures as requiring verification.

ItemReported priceSource platform
LLM Gap Analyzer$49/month after 7-day trial,,,,
LLM Gap Analyzer unlimited searches$59/month add-on,
LLM Gap Analyzer +30 searches$29/month add-on,
AI Visibility Toolkit$99/month (per domain, billed annually per some platforms),,,
AI Visibility Toolkit (conflicting figure)$49/month after 7-day trial
SEO Toolkit Pro$139.95/month monthly billing,
SEO Toolkit Guru$249.95/month monthly billing,
SEO Toolkit Business$499.95/month monthly billing,
Semrush Onestarting at $199.95/month,
Additional AI Visibility Toolkit user$99 per user plus applicable base additional-user fee
Additional Brand Performance domain$99 per domain per month
Additional Prompt Tracking capacity$60/month for 50 prompts

The $49 versus $99 discrepancy for the AI Visibility Toolkit is unresolved. DeepSeek reported $49/month after a 7-day trial [79], while OpenAI, Anthropic, Perplexity, and Google reported $99/month [80]. Buyers should confirm the current price directly.

Contract and cancellation terms are also incompletely documented. The LLM Gap Analyzer states that users may unsubscribe anytime [84]. For annual subscriptions, AI Visibility Toolkit additions are prorated to the existing annual billing cycle and renew with that cycle [84]. The cited materials do not fully establish refund, cancellation cutoff, or renewal terms for every Semrush product [84]. Anthropic noted that the 7-day free trial requires a credit card and auto-renewal charges apply if not cancelled before expiry, and that this is noted as a common billing complaint on Trustpilot [85]. Perplexity stated that the checked sources do not clearly state cancellation terms, auto-renewal conditions, or refund policy for the relevant products [82].

One independent source raised pricing uncertainty related to the announced Adobe acquisition of Semrush in November 2025, expected to close in H1 2026, noting that Adobe has a history of increasing pricing post-acquisition and that current Semrush pricing is not guaranteed beyond the contract term [89]. This is an independent claim, not a company statement, and should be treated as a risk factor to verify rather than an established outcome.

Best Suited For

Questions This Section Answers

  • Who gets the most value from Semrush for AI content gap analysis?
  • Is Semrush best for teams that need both traditional SEO and AI visibility gaps?

Semrush is best suited for companies that want one platform spanning traditional SEO content gaps and emerging AI-search visibility gaps [91]. This includes companies comparing their AI visibility and cited sources against competitors, SEO teams that need keyword, URL, topic, prompt, and competitor-gap workflows in one platform, and organizations prioritizing content opportunities using AI prompt topics, intent, visibility, and competitor coverage [91].

It also fits agencies running content strategies that must address both traditional SEO and AI-generated answer visibility, and teams requiring an integrated content optimization workflow from gap discovery through performance tracking [95]. Multi-domain or multi-competitor analysis at scale is supported, since Keyword Gap compares up to five domains and the AI Visibility Toolkit tracks across multiple platforms [97].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Semrush for AI SEO Tools for Content Gap Analysis?
  • Is Semrush a poor fit for budget-constrained buyers or single-purpose gap analysis?

Semrush is probably not the best fit for buyers needing broad coverage of every generative-answer or recommendation platform, since the cited product materials document Google AI experiences, ChatGPT, and AI crawlers but do not verify comprehensive coverage of all generative-answer engines, shopping assistants, social recommendation systems, or vertical recommendation platforms [99]. Kimi specifically reported that the LLM Gap Analyzer covers only two engines and found no evidence of Perplexity, Claude, Gemini, Bing Copilot, or other emerging AI platform coverage [101].

It is also probably not best for teams seeking a low-cost standalone content-gap tool with unlimited analysis, since the LLM Gap Analyzer is capped at 30 AI-driven answer and prompt analyses, 30 AI Content Gap Analyses, and 30 Existing Content Analyses per month [100]. Organizations requiring independently validated accuracy or guaranteed increases in AI citations are also not well served, because independent validation of Semrush's AI content-gap accuracy, prioritization quality, and business outcomes was not identified in the sources checked.

Budget-constrained SMBs seeking single-purpose gap analysis tools may find the entry cost of $139.95 to $199/month before add-ons prohibitive [102]. Organizations using only traditional SEO would need to purchase AI Visibility features separately, since SEO Classic plans do not include AI visibility features unless added separately [104].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Semrush for backlink-driven content gap analysis?
  • When should a buyer choose a specialized AI visibility tool instead of Semrush?

Another option may be better in several specific situations.

When the primary requirement is deeper monitoring across a broader set of generative-answer or recommendation engines than Semrush documents, a specialized AI-visibility platform may be preferable [105]. Kimi recommended WriteWorks for coverage across 10 or more AI platforms, Manus for integrated brief generation, and AISEO or HAX-AI for budget-conscious unlimited analysis [106].

When traditional competitor URL and content comparisons matter more than AI prompt and citation monitoring, a lower-cost dedicated content-gap product may be preferable [105]. Anthropic noted that Ahrefs is especially strong for search-first research, competitor keyword discovery, content gap analysis, and opportunity mapping [109]. Anthropic also noted that Moz lacks meaningful AI visibility tracking, which is a real gap in 2026 for buyers who need AI coverage [111].

When the buyer needs materially higher prompt, domain, user, API, or reporting limits than the published plans provide, an enterprise custom solution may be preferable [105]. Google noted that a competitor like Centium offers 120 tracked prompts across 6 AI models for $99/month compared to Semrush's 25 prompts across 4 models, and that a specialized GEO tool like Ryze AI offers automated end-to-end writing and shipping of AI-targeted comparison pages rather than just optimization recommendations [113].

When the buyer needs semantic or conceptual gap analysis covering missing entities, subtopics, and intent nuances, MarketMuse or Surfer SEO may be preferable [109]. When the buyer needs bulk site-wide content audit before gap analysis, Screaming Frog or Google Search Console may be preferable [109].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Semrush before signing a contract for AI content gap analysis?
  • Which Semrush plan tier includes the specific gap features a buyer needs?

Before purchasing, buyers should verify the following with Semrush directly.

Which exact AI engines, answer surfaces, countries, languages, and device types are included in the selected plan [115]. Whether Google AI Overview, Google AI Mode, ChatGPT, and other desired platforms are separately metered [115]. Whether the selected SEO plan includes the required Keyword Gap, Content Optimizer, Topic Research, Content Toolkit, and URL-level comparison features [116]. What the daily and monthly limits are for prompts, domains, competitors, reports, exports, crawls, and AI content-gap analyses [118]. What data freshness, sampling methodology, and reproducibility controls apply to AI visibility and citation results [115]. What the cancellation, refund, auto-renewal, annual-commitment, and prorated-billing terms are [118]. What the total cost is for the required number of users, domains, competitors, API access, and reporting destinations [119]. Whether Semrush can demonstrate a representative workflow using the buyer's market, competitors, languages, and target AI platforms [115].

Anthropic additionally recommended verifying whether the LLM Gap Analyzer is available on the target plan tier, whether the 7-day free trial includes AI Visibility Toolkit and LLM Gap Analyzer features, whether gap analysis can run across the entire website inventory or only individual URLs and keywords, whether the Corrected Claims, Weak and Unsourced Claims, and Content Gaps Found categories are available for all AI platforms or only select platforms, and how frequently Semrush updates AI platform data [120]. Perplexity recommended verifying whether AI Visibility Toolkit is billed per domain only and whether additional subuser licenses are required [122].

Final AI Consensus Verdict

Semrush is a good fit for AI SEO Tools for Content Gap Analysis. Six of seven platforms named it during the ranking stage, with an average listed rank of 2.17 and a best rank of 1. The strongest reason to consider it is the combination of the AI Visibility Toolkit, the LLM Gap Analyzer, and the Keyword Gap tool, which together address both conventional keyword gaps and emerging AI-search visibility gaps in one platform.

The main limitation is that the most useful capabilities are split across separate products, plans, and add-ons, and pricing is reported inconsistently across platforms. The AI Visibility Toolkit is reported at both $49/month and $99/month, and the exact plan tier required for specific gap features is not clearly confirmed. Independent validation of Semrush's AI content-gap accuracy, prioritization quality, and business outcomes was not identified in the sources checked.

Buyers should treat platform coverage, usage limits, feature entitlements, and outcome claims as items requiring verification rather than guaranteed capabilities. For companies that want one platform spanning traditional SEO and AI-search gap analysis and are willing to verify the details before purchase, Semrush is a reasonable choice. For buyers who need broad coverage of every generative-answer platform, unlimited analysis at low cost, or independently validated accuracy, another option may be better.

How This Review Was Produced

This review was produced from platform-reported research responses collected on 2026-09-18. Seven platforms participated: Anthropic, DeepSeek, Google, Grok, Kimi, OpenAI, and Perplexity. Each platform was asked which AI SEO tools it would recommend for content-gap analysis and why. Six of the seven platforms named Semrush during the ranking stage.

The research combined company-owned sources, primarily Semrush product and pricing pages, with independent sources including review sites and comparison articles. Company-owned citations materially outnumber independent citations in the supplied evidence. Company claims are labeled as such and are not described as independently verified.

Platform-reported research dates differ from the authoritative run date. DeepSeek reported a research date of 2026-02-14, while the other six platforms reported 2026-09-18. This is disclosed as a methodology limitation.

Methodology Limitations

Several limitations apply to this review.

Platform-reported research dates differ from the authoritative run date. DeepSeek reported a research date of 2026-02-14, while the other six platforms reported 2026-09-18. Platform-reported dates are provenance metadata and do not independently prove freshness.

All included platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery. Six of seven platforms named Semrush.

Conflicting product names, pricing, and capabilities were not resolved by guessing. The $49 versus $99 discrepancy for the AI Visibility Toolkit is described as a conflict, and buyers are told to verify. The exact plan tier required for specific gap features is also described as unverified.

The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Company-owned citations materially outnumber independent citations. Company claims are not described as independently verified.

Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts. DeepSeek's research was conducted with search disabled, so its claims are platform-reported and may not reflect current product details.

Independent validation of Semrush's AI content-gap accuracy, prioritization quality, and business outcomes was not identified in the sources checked.

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

Sources

Company-Owned Sources

Independent Sources

  • Semrush One: Complete Guide to AI Visibility & SEO Tools (2025-2026: https://almcorp.com/blog/semrush-one-ai-visibility-seo-guide/
  • Semrush AI Visibility Toolkit Hands-On Review: https://behindrankings.com/blog/semrush-ai-visibility-toolkit-review
  • Content Gap Analysis: The Complete 2026 Step-by-Step Guide: https://clustea.com/blog/content-gap-analysis
  • Semrush AI Visibility Pricing Review: https://get-ryze.ai/blog/semrush-ai-visibility-pricing
  • How to create content gap analysis on Semrush March 2026 Guide: https://hamsterstack.com/how-to/semrush/create-content-gap-analysis/
  • Semrush AI SEO Toolkit Pricing in 2026: https://honeyb.ai/blog/semrush-ai-seo-pricing
  • Semrush vs Ahrefs vs Moz: Best SEO Software Compared: https://keytomic.com/blog/semrush-vs-ahrefs-vs-moz
  • LLM Gap Analyzer — See Why AI Cites Your Competitor, Then Take the Citation: https://llmgapanalyzer.com/
  • ahrefs vs semrush vs moz - which one is the Best for ROI in 2026 | Lucidly: https://lucidly.ae/blog/digital-marketing/ahrefs-vs-semrush-vs-moz
  • Content Gap Analysis: The 2026 Strategic SEO Guide: https://pressfrolic.com/seo/content-gap-analysis/
  • Which AI Tool Finds Competitor Content Gaps? - Rank Authority: https://rankauthority.com/which-ai-tool-finds-competitor-content-gaps-2/
  • Semrush Pricing Plans 2026: Which Plan Is Actually Worth It?: https://resourcera.com/guide/semrush-pricing/
  • Semrush Review 2026: AI SEO & Content Marketing Suite: https://saasbinder.com/2026/06/01/semrush-review-2026-3/
  • Semrush Pricing Explained (2026): Plans, Costs & Hidden Fees: https://smartguidehubs.com/semrush-pricing-2026/
  • Semrush Review - Target Internet: https://targetinternet.com/resources/semrush-review
  • Semrush Competitor Analysis Tool: Complete 2026 Review — AllAble: https://www.allable.ai/blog/semrush-competitor-analysis/
  • Semrush Pricing 2026: All Plans, Real Costs, What You Get — AllAble: https://www.allable.ai/blog/semrush-pricing/
  • Semrush Pricing 2026: New Plans & Cost Breakdown: https://www.demandsage.com/semrush-pricing/
  • Semrush Pricing 2026: Plans, Limits and What You'll Actually Pay: https://www.docket.io/resources/research/semrush-pricing
  • Additional AI research evidence123 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:1-1
    3. AI research evidence record deepseek:c1
    4. AI research evidence record grok:0
    5. AI research evidence record perplexity:1
    6. AI research evidence record google:1.1.1
    7. AI research evidence record openai:c2
    8. AI research evidence record openai:c5
    9. AI research evidence record anthropic:2-6
    10. AI research evidence record openai:c3
    11. AI research evidence record anthropic:12-1
    12. AI research evidence record anthropic:5-1
    13. AI research evidence record openai:c1
    14. AI research evidence record openai:c2
    15. AI research evidence record openai:c3
    16. AI research evidence record openai:c4
    17. AI research evidence record anthropic:1-1
    18. AI research evidence record openai:c1
    19. AI research evidence record openai:c3
    20. AI research evidence record anthropic:6-4
    21. AI research evidence record anthropic:34-4
    22. AI research evidence record anthropic:34-6
    23. AI research evidence record anthropic:34-8
    24. AI research evidence record perplexity:8
    25. AI research evidence record anthropic:12-9
    26. AI research evidence record anthropic:32-1
    27. AI research evidence record anthropic:32-2
    28. AI research evidence record google:1.1.2
    29. AI research evidence record openai:c5
    30. AI research evidence record anthropic:1-2
    31. AI research evidence record anthropic:8-2
    32. AI research evidence record grok:0
    33. AI research evidence record grok:2
    34. AI research evidence record anthropic:11-1
    35. AI research evidence record anthropic:15-6
    36. AI research evidence record perplexity:12
    37. AI research evidence record perplexity:14
    38. AI research evidence record anthropic:12-9
    39. AI research evidence record anthropic:32-1
    40. AI research evidence record anthropic:32-2
    41. AI research evidence record google:1.1.2
    42. AI research evidence record kimi:semrush-kb-1630
    43. AI research evidence record openai:c1
    44. AI research evidence record perplexity:8
    45. AI research evidence record perplexity:9
    46. AI research evidence record openai:c5
    47. AI research evidence record openai:c6
    48. AI research evidence record anthropic:27-3
    49. AI research evidence record deepseek:c3
    50. AI research evidence record perplexity:1
    51. AI research evidence record google:1.4.1
    52. AI research evidence record anthropic:2-7
    53. AI research evidence record grok:0
    54. AI research evidence record perplexity:2
    55. AI research evidence record google:1.3.1
    56. AI research evidence record deepseek:c4
    57. AI research evidence record openai:c4
    58. AI research evidence record deepseek:c7
    59. AI research evidence record openai:c1
    60. AI research evidence record openai:c2
    61. AI research evidence record anthropic:13-3
    62. AI research evidence record anthropic:13-9
    63. AI research evidence record anthropic:32-2
    64. AI research evidence record openai:c3
    65. AI research evidence record anthropic:35-7
    66. AI research evidence record perplexity:6
    67. AI research evidence record anthropic:34-4
    68. AI research evidence record anthropic:34-6
    69. AI research evidence record anthropic:34-8
    70. AI research evidence record anthropic:34-5
    71. AI research evidence record anthropic:34-7
    72. AI research evidence record openai:c5
    73. AI research evidence record anthropic:8-2
    74. AI research evidence record anthropic:8-9
    75. AI research evidence record kimi:semrush-kb-1630
    76. AI research evidence record openai:c4
    77. AI research evidence record openai:c6
    78. AI research evidence record anthropic:11-1
    79. AI research evidence record deepseek:c3
    80. AI research evidence record openai:c6
    81. AI research evidence record anthropic:23-1
    82. AI research evidence record perplexity:1
    83. AI research evidence record google:1.4.1
    84. AI research evidence record openai:c5
    85. AI research evidence record anthropic:21-13
    86. AI research evidence record perplexity:2
    87. AI research evidence record perplexity:4
    88. AI research evidence record perplexity:7
    89. AI research evidence record anthropic:21-11
    90. AI research evidence record anthropic:21-12
    91. AI research evidence record openai:c1
    92. AI research evidence record anthropic:12-1
    93. AI research evidence record openai:c2
    94. AI research evidence record openai:c3
    95. AI research evidence record anthropic:11-1
    96. AI research evidence record anthropic:15-6
    97. AI research evidence record anthropic:35-7
    98. AI research evidence record anthropic:13-3
    99. AI research evidence record openai:c1
    100. AI research evidence record openai:c5
    101. AI research evidence record kimi:semrush-kb-1630
    102. AI research evidence record anthropic:21-1
    103. AI research evidence record anthropic:27-18
    104. AI research evidence record anthropic:27-3
    105. AI research evidence record openai:c1
    106. AI research evidence record kimi:writeworks-opportunities
    107. AI research evidence record kimi:manus-content-gap
    108. AI research evidence record kimi:hax-ai
    109. AI research evidence record anthropic:41-2
    110. AI research evidence record anthropic:41-5
    111. AI research evidence record anthropic:42-2
    112. AI research evidence record anthropic:42-3
    113. AI research evidence record google:1.4.3
    114. AI research evidence record google:1.4.2
    115. AI research evidence record openai:c1
    116. AI research evidence record openai:c4
    117. AI research evidence record openai:c6
    118. AI research evidence record openai:c5
    119. AI research evidence record openai:c7
    120. AI research evidence record anthropic:2-7
    121. AI research evidence record anthropic:1-3
    122. AI research evidence record perplexity:7
    123. AI research evidence record perplexity:14

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Study date
September 18, 2026
Platforms analyzed
7
Source records
60
Ranking mentions
6 of 7
Platform share
86%
Final consensus rank
#2

Research trail and source mix

Configured platforms

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

Source mix

23 independent · 37 company-owned

Evidence support

47 direct · 12 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 b0f36d0196b7eb088996797b4d9278c648f2abf334996929f992a1ead5f68c06