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AI Consensus Fit Review

Ahrefs AI Visibility Platform Fit Review for Enterprise Companies

Ahrefs is a qualified but conditional fit for enterprise AI visibility programs.

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

Answer Capsule

Ahrefs is a qualified but conditional fit for enterprise AI visibility programs. Four of seven platforms named Ahrefs during ranking discovery, and its strongest case rests on Ahrefs Brand Radar's large search-backed prompt index, competitor AI Share of Voice benchmarking, citation analysis, and Enterprise-tier controls such as SSO, audit logs, API access, and unlimited historical data [1]. The main limitation is that public documentation does not clearly establish high-volume prompt scalability, granular role-based or executive reporting, or exact Enterprise inclusions, and pricing is fragmented across pages [3]. Buyers already standardized on Ahrefs for SEO get the most value; buyers needing operational, always-on AI monitoring should verify capacity and reporting depth before committing.

Research Snapshot

FieldFinding
Platform mentions in ranking stage4 of 7 platforms (deepseek, google, openai, perplexity)
Share of included platform responses57.1%
Average listed rank5.5
Best listed rank3 (deepseek)
Relevant product/model/planAhrefs Brand Radar (Custom Prompts, AI Visibility Index) with Ahrefs Enterprise tier
Overall use-case fitMixed to good; strongest for Ahrefs-centric enterprises, weaker for governance-heavy or high-volume prompt programs
Research date2026-09-19

Why Ahrefs Qualified for This Study

Questions This Section Answers

  • Is Ahrefs a good choice for AI Visibility Platforms for Enterprise Companies?
  • How many AI platforms named Ahrefs during the ranking stage for enterprise AI visibility?
  • What is the strongest reason to consider Ahrefs Brand Radar for enterprise AI visibility?

Ahrefs qualified because four of the seven included platforms named it during ranking discovery, giving it a 57.1% mention share and an average listed rank of 5.5 (best rank 3 from deepseek). That is a majority mention share but not unanimous support, and the ranking spread (ranks 3, 4, 5, and 10) shows the platforms did not agree on how strongly Ahrefs belongs in an enterprise AI visibility shortlist.

The strongest reason it qualified is product substance rather than brand familiarity. Ahrefs Brand Radar is a genuine AI visibility product: it measures brand mentions and citations across major AI systems, benchmarks AI Share of Voice against competitors, and exposes cited pages and domains [5]. It also sits inside an established SEO intelligence platform, which matters for enterprises that already run Ahrefs for backlink, keyword, and search-demand data [8].

The qualification is not unconditional. Kimi rated Ahrefs a weak fit for this use case, arguing it lacks multi-LLM prompt-level tracking, AI-specific citation analysis, and three-layer executive reporting hierarchies [9]. That dissent is part of why this review treats Ahrefs as a conditional fit rather than a default recommendation.

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

Questions This Section Answers

  • Which Ahrefs plan should a buyer choose if they need AI visibility across multiple brands and markets?
  • Is Ahrefs Brand Radar sold standalone, or does it require an Ahrefs Enterprise subscription?
  • What does the Ahrefs Enterprise tier include for AI visibility governance and access control?

The relevant offering is Ahrefs Brand Radar, most often paired with the Ahrefs Enterprise tier. Brand Radar is the AI visibility layer: it tracks brand mentions and citations across AI systems, reports AI Share of Voice, and supports custom prompt monitoring [10]. The Enterprise tier supplies the administrative scaffolding — SSO, access management, audit logs, API access, exports, and unlimited historical data [13].

Platforms described the plan structure differently, and that conflict matters for procurement. OpenAI and Perplexity both describe Brand Radar as available standalone at $199/month per AI index or $699/month for all platforms, while also noting an Enterprise tier at $1,499/month with an annual commitment [13]. Anthropic reported that Brand Radar is bundled into base plans with small allowances and that full coverage requires the add-on [16]. Google described the Enterprise tier as starting at 83 prompts (2,500 monthly checks) and 3 users [14]. These are not reconciled in public documentation, so the exact configuration a given enterprise receives must be confirmed in a quote.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do multiple AI platforms agree Ahrefs Brand Radar does well for enterprise AI visibility?
  • Does Ahrefs Brand Radar provide citation analysis and competitive benchmarking across major AI systems?
  • Is Ahrefs Brand Radar integrated with traditional SEO data for enterprise teams?

The platforms broadly agreed on four things: prompt-index scale, multi-engine coverage, citation and competitive intelligence, and integration with existing SEO data.

On scale, multiple platforms cited a very large search-backed prompt index. Google reported over 405 million search-backed prompts [17]; OpenAI reported figures ranging from roughly 455M to 459M depending on the page consulted [18]; Grok reported 455M+ [19]; Anthropic reported 400M+ [20]. The exact number is inconsistent across sources, but the platforms agreed the index is large and pre-populated, which removes cold-start setup for competitive research.

On coverage, Brand Radar is described as tracking major AI surfaces including ChatGPT, Perplexity, Gemini, Microsoft Copilot, and Google AI Overviews, with Google AI Mode also referenced [21]. Google's citation notes Grok support and an April 2026 changelog entry [23], while OpenAI reported that new Grok data collection was currently unavailable [18] — a direct conflict addressed in the next section.

On citation and competitive intelligence, the platforms agreed Brand Radar reports cited pages and domains, mentions versus citations, and competitor AI Share of Voice [24]. On integration, they agreed Brand Radar sits alongside Ahrefs' backlink, keyword, and search-demand data, which is the core reason Ahrefs-committed enterprises consider it [20].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Where do AI platforms disagree about Ahrefs Brand Radar's enterprise readiness?
  • Is Ahrefs Brand Radar's enterprise pricing and prompt capacity clearly documented?
  • Does Ahrefs Brand Radar support role-based and executive reporting for large enterprises?

Disagreement clustered around four areas: overall fit rating, prompt capacity, reporting and governance, and pricing.

Fit ratings diverged sharply. Google, OpenAI, and Perplexity rated Ahrefs a good fit; Anthropic, DeepSeek, and Grok rated it mixed; Kimi rated it weak (fit_ratings_by_platform). Kimi's dissent was the most specific, arguing Ahrefs lacks multi-LLM prompt-level monitoring, AI-specific citation analysis, and multi-brand governance at scale [28]. That position conflicts with OpenAI's and Google's descriptions of citation reporting and Enterprise controls, and the conflict is not resolvable from public documentation.

Prompt capacity is genuinely unclear. DeepSeek cited a company claim of up to 10,000 prompts per project via Custom Prompts [29], while OpenAI and Google described Enterprise custom-prompt capacity as starting from 2,500 checks per month [30]. One check is consumed per prompt execution, AI platform, and location, so multi-market programs consume allowances quickly [32]. Whether 10,000 prompts per project is a current entitlement or a different metric is not established.

Reporting and governance are the weakest documented area. Google reported that SSO and RBAC are included on the $1,499/month plan [33], and OpenAI reported Enterprise includes SSO, access management, audit logs, and Report Builder [30]. But Perplexity, DeepSeek, and Anthropic all reported that role-based reporting, executive dashboards, and permission granularity are not clearly documented for Brand Radar specifically [34]. Anthropic noted executive reporting may require the Report Builder add-on at $99/month [37].

Pricing is fragmented. Public pages show standalone Brand Radar at $199/month per index or $699/month for all platforms, Enterprise at $1,499/month with annual commitment, and custom-prompt packages at $50, $100, and $250 per month [30]. Anthropic calculated an all-in figure of roughly $2,198/month for Enterprise plus full Brand Radar before seat add-ons [39], while another Anthropic citation put the all-in minimum at $2,298/month including a second seat [37]. Perplexity rated pricing confidence low because pages conflict [40].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Ahrefs Brand Radar support large prompt sets and historical data for enterprise AI visibility?
  • Can Ahrefs Brand Radar track competitors and citations across multiple AI assistants?
  • Does Ahrefs Brand Radar offer API access and exports for enterprise BI integration?

Against the stated enterprise criteria, the evidence is uneven.

Large prompt sets. Supported but capped. The AI Visibility Index is large and pre-populated [41], and custom prompts can be configured by AI assistant, location, and refresh frequency [42]. Enterprise custom-prompt capacity is described as starting from 2,500 checks per month, with paid packages up to 25,000 checks [43]. DeepSeek's 10,000-prompts-per-project claim is company-reported and unverified against official plan documentation [45].

Historical data. Supported on Enterprise. Ahrefs pricing materials state unlimited historical data on Enterprise, with a 6-month minimum on lower tiers [43]. Perplexity reported that historical lookback depth and retention windows for Brand Radar specifically are not clearly published [47].

Role-based reporting. Unclear. Saved reports and a Report Builder exist, and Enterprise includes access management and audit logs [48]. But no platform found clearly documented AI-visibility-specific role hierarchies, business-unit rollups, or executive dashboard templates for Brand Radar [49].

Competitive intelligence. Strong. Brand Radar benchmarks AI Share of Voice against competitors across engines and supports entity grouping for brand variations and sub-brands [50].

Citation analysis. Strong. Brand Radar reports cited pages and domains, and Google's citation describes a citation funnel distinguishing "Cited in" versus "Found in" [52]. Kimi disputed that this constitutes AI-specific citation analysis [54].

Executive reporting. Partial. A Looker Studio connector and custom Report Builder widgets support dashboard exports [55], but independent reviews describe Brand Radar as a research database rather than an executive reporting tool [56].

Scalable measurement. Partial. Unlimited projects and no-setup brand tracking support scale [57], but API access for Brand Radar data is not clearly included at all tiers [58].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Ahrefs Brand Radar cost per month for enterprise AI visibility?
  • Are there setup, overage, or add-on fees beyond the Ahrefs Enterprise subscription?
  • What contract term and cancellation policy apply to Ahrefs Enterprise?

Published pricing is fragmented and partially inconsistent, so treat all figures as to-be-verified.

ItemPublished figureSource
Ahrefs Enterprise$1,499/month, annual commitment required
Brand Radar, single AI index$199/month
Brand Radar, all platforms$699/month, includes 2,500 custom-prompt checks
Custom prompt packagesBasic $50/mo (2,500 checks); Growth $100/mo (7,000); Scale $250/mo (25,000)
Custom prompt overage$0.020, $0.015, $0.010 per check by tier
Additional Enterprise users$100/month per user
Report Builder add-on$99/month

Contract terms: Enterprise requires an annual commitment [59]. Ahrefs states plans can be canceled from account settings with access continuing through the subscription period, and generally does not issue refunds, though monthly subscribers may request one if unused, at Ahrefs' discretion [59]. Google reported that Ahrefs does not offer free trials for paid software packages [61].

Cost conflicts to resolve: Anthropic reported an all-in minimum of $2,198/month for Enterprise plus full Brand Radar [62], and separately $2,298/month including a second seat [63]. Perplexity rated pricing confidence low because Ahrefs pages and third-party summaries conflict on whether Brand Radar is standalone or base-plan-dependent [60]. DeepSeek rated pricing confidence low and noted enterprise pricing is not publicly listed [64]. Whether the 2,500-check Enterprise allowance is included in the $1,499/month price or separately priced is not established in public materials.

Best Suited For

Questions This Section Answers

  • Which enterprises get the most value from Ahrefs Brand Radar for AI visibility?
  • Is Ahrefs Brand Radar best for teams already using Ahrefs for SEO?

Ahrefs fits best when AI visibility is measured alongside existing SEO intelligence rather than as a standalone operational system.

  • Enterprises already standardized on Ahrefs for SEO, backlinks, and keyword research that want AI visibility in the same interface [65].
  • Teams benchmarking AI Share of Voice and citations across multiple brands and competitors where directional research data is sufficient [67].
  • Organizations needing Enterprise controls — SSO, access management, audit logs, API access, exports, unlimited historical data — for multi-department access [69].
  • Buyers wanting AI citation data correlated with backlink and authority data as a differentiated competitive angle [71].
  • Teams that can accept add-on pricing and some pricing ambiguity in exchange for a large pre-populated prompt index [72].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Ahrefs Brand Radar for enterprise AI visibility?

  • Is Ahrefs Brand Radar suitable for teams needing real-time AI monitoring and alerts?

  • Enterprises requiring operational, always-on monitoring with real-time alerts on AI mention changes; independent reviews describe Brand Radar as a research database rather than an always-on tracking dashboard [74].

  • Teams needing clearly documented role-based dashboards, approval workflows, or AI-visibility-specific executive reporting templates [75].

  • Buyers requiring fully published enterprise pricing and contract terms before procurement [77].

  • Organizations needing reliable monitoring of AI assistants that require login, private context, or platforms outside Ahrefs' supported set; Ahrefs states responses are collected without personalization or prior context [78].

  • Teams wanting built-in optimization guidance; Brand Radar surfaces data but does not prescribe fixes [79].

  • Buyers not already invested in Ahrefs who want a standalone AI visibility tool without a broader SEO suite [81].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Ahrefs Brand Radar for high-volume prompt monitoring?
  • When should an enterprise choose a pure-play AI visibility platform over Ahrefs Brand Radar?

Platforms named specific alternatives under specific conditions, and these are platform-reported recommendations rather than independently tested comparisons.

  • When thousands of prompts across many markets and languages are required: choose a platform with explicitly documented unlimited or materially higher prompt volumes [83].
  • When real-time monitoring and alerts on AI mention changes are required: specialized AEO tracking platforms such as Profound or Peec AI were named [84].
  • When white-label, pre-built executive dashboards and role-based reporting are needed without manual assembly: agency-focused platforms such as Rankability Tracker were named [86].
  • When API-native data access into BI tools is table stakes: platforms with open APIs such as Cairrot or Peec AI were named [87].
  • When multi-brand portfolio governance across 300+ projects is required: Ayzeo was named at $6,000/month, alongside Georion at $4,999/month and UltraScout from roughly £5,000/month [88].
  • When deeper citation tracking or more LLM platforms are needed without an SEO bundle: pure-play vendors such as Profound or Scrunch AI were named [91].
  • When the organization does not already use Ahrefs and wants only AI visibility: a standalone tool avoids the base-subscription requirement [92].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Ahrefs before signing an Enterprise contract for AI visibility?
  • Which Brand Radar limits, platforms, and reporting controls must be confirmed in writing?

Platforms converged on a verification list. Confirm the exact Brand Radar indexes, AI platforms, markets, languages, locations, and historical data included in the proposed Enterprise quote [94]. Confirm whether the 2,500-check starting allowance is included in the $1,499/month Enterprise price or separately priced [94]. Confirm maximum custom-prompt checks, prompt count, locations, languages, API rate limits, and export limits under the negotiated package [94].

Confirm whether administrators can create role-based access by brand, market, region, or business unit, and whether executives can receive scheduled consolidated reports [94]. Confirm which Brand Radar fields are available through the API, including responses, citations, cited URLs, competitors, impressions, Share of Voice, tags, and historical snapshots [94]. Confirm how duplicate brands, subsidiaries, domains, aliases, languages, and regional variants are grouped or separated [94].

Confirm the refresh and retention policy per AI assistant and how outages, model changes, and response variability are handled [94]. Confirm what happens when prompt checks are exhausted and whether overage spending can be capped at the organization level [94]. Confirm the current prompt index size and update frequency, since independent sources report a wide range [97]. Confirm the status and pricing of the YouTube, TikTok, and Reddit indexes announced in beta, which were signaled to become paid add-ons [97]. Confirm whether automated sentiment scoring is operational for tracked LLMs in the buyer's geography, since sources conflict on this [102].

Final AI Consensus Verdict

Ahrefs is a conditional fit for AI Visibility Platforms for Enterprise Companies, not a default choice. Four of seven platforms named it during ranking discovery at an average rank of 5.5, and fit ratings split three good, three mixed, and one weak. The strongest case is Brand Radar's large search-backed prompt index, multi-engine AI Share of Voice benchmarking, citation analysis, and Enterprise controls including SSO, audit logs, API access, and unlimited historical data [104]. The clearest limitation is that public documentation does not establish high-volume prompt scalability, granular role-based or executive reporting, or exact Enterprise inclusions, and pricing is fragmented across pages [107].

Enterprises already standardized on Ahrefs for SEO should evaluate Brand Radar for competitive AI visibility research and confirm capacity, reporting, and contract terms in writing. Enterprises treating AI visibility as a core operational capability with real-time monitoring, role-based executive reporting, and high-volume multi-market prompt programs should compare dedicated alternatives before committing. Platform agreement on Ahrefs' strengths does not establish product quality; it reflects what the included platforms reported from the sources they cited.

How This Review Was Produced

This review evaluates Ahrefs only for the enterprise AI visibility use case described in the research prompt. Seven platforms were included in the study, and four named Ahrefs during ranking discovery. Each platform produced a structured fit assessment covering strengths, limitations, pricing, alternatives, and verification questions, with citations to company-owned and independent sources. Fit ratings, pricing figures, and capability claims are reported as the platforms supplied them. Company-owned citations materially outnumber independent citations in the supplied evidence, so company claims are labeled as company-reported rather than independently verified. No product testing, customer interviews, or independent verification was performed for this review.

Methodology Limitations

  • The authoritative research date is 2026-09-19. DeepSeek's platform-reported research date was 2026-06-19, so its findings may be less current than the others.
  • Platform mentions count only platforms that named Ahrefs during ranking discovery; all seven platforms evaluated fit, but only four named the entity in ranking.
  • Official-site retrieval failed for the entity during normalization (the homepage HTML exceeded the retrieval size limit), and identity used exact-name fallback. The reported domain is treated as reported and should be verified during procurement.
  • 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 independently verified.
  • Prompt index size is reported inconsistently across sources, ranging from roughly 239M to 459M depending on the page consulted.
  • Pricing is fragmented and partially inconsistent across Ahrefs pages and third-party summaries; no single unified public pricing table was found.
  • Role-based reporting, executive dashboards, historical retention, and export limits for Brand Radar are not clearly documented in public sources.
  • DeepSeek's research ran without search enabled, so its claims are platform-reported model output rather than retrieved evidence.
  • Platform-reported research dates are provenance metadata and do not independently prove freshness.

Explore more ai visibility llm monitoring guidance in the category directory.

Sources

Company-Owned Sources

Independent Sources

  • AirOps vs Ahrefs: Which AI Search Platform is Right for Your Team?: https://airops.com/blog/airops-vs-ahrefs
  • Ahrefs Brand Radar Review: Is It Worth the Extra Cost? - AllAble: https://allable.ai/blog/ahrefs-brand-radar-review
  • HubSpot AEO vs. Ahrefs Brand Radar: Features compared: https://blog.hubspot.com/marketing/hubspot-vs-ahrefs-aeo
  • Ahrefs Pricing 2026: Costs, Add-Ons & Competitors: https://checkthat.ai/brands/ahrefs/pricing
  • Ahrefs Brand Radar Review (2026): Pricing Breakdown, Competitor Comparisons: https://connorkimball.com/blog/ahrefs-brand-radar-review-pricing-competitor-comparison/
  • Ahrefs Brand Radar Review 2026: Features, Pricing, and Who It's Really For: https://dageno.ai/blog/ahrefs-brand-radar-review
  • Semrush AI Visibility Toolkit vs Ahrefs Brand Radar for AI Tracking: https://explodingtopics.com/blog/ai-visibility-vs-brand-radar
  • Ahrefs AI vs Semrush vs Frase – A Complete Guide for Marketing Leaders in 2026: https://frase.io/blog/ahrefs-ai-vs-semrush
  • Ahrefs Brand Radar: AI visibility vendor profile | GEO Compass: https://geocompass.com/vendors/ahrefs-brand-radar
  • Ahrefs Brand Radar: AI visibility vendor profile | GEO Compass: https://guptadeepak.com/geo-compass/vendors/ahrefs-brand-radar/
  • Ahrefs Brand Radar Review 2026: Features, Pricing, Verdict: https://layer3labs.com/reviews/ahrefs-brand-radar
  • Ahrefs Cost Breakdown & Alternatives 2026: https://maintouch.com/blogs/ahrefs-pricing
  • Ahrefs Brand Radar Review (2026): Pricing + Alternatives: https://meev.ai/reviews/ahrefs-brand-radar
  • Ahrefs Brand Radar vs NeuroRank (2026 Comparison: https://neurorank.ai/comparisons/ahrefs-brand-radar
  • Peec AI vs Ahrefs Brand Radar: An objective comparison: https://peec.ai/comparisons/peec-ai-vs-ahrefs-brand-radar
  • Ahrefs Pricing 2026: Real Cost of Every Plan and Trial Rules: https://searchatlas.com/blog/ahrefs-review/
  • Ahrefs Review (2026): SEO Platform with Brand Radar AI: https://tooldirectory.ai/tools/ahrefs
  • Ahrefs Pricing and Brand Radar Costs in 2026 - Trakkr: https://trakkr.com/blog/ahrefs-pricing-brand-radar-costs
  • Ahrefs Brand Radar Review (2026): Pricing, Features, and the Real Cost: https://www.aeolabs.ai/blog/ahrefs-brand-radar-review
  • Ahrefs for AI Visibility: Brand Radar Review & What It Still Can't Track (2026: https://www.ekamoira.com/blog/ahrefs-for-ai-visibility-brand-radar-review-what-it-still-can-t-track-2026
  • Ahrefs Brand Radar Alternatives & Review: Is It Worth It? (2026: https://www.ewrdigital.com/blog/ahrefs-brand-radar-review-alternatives-pricing-comparison
  • Ahrefs Brand Radar Review & Alternatives (2026): Is It Worth the Price?: https://www.ewrdigital.com/seo-strategy/ahrefs-brand-radar-review
  • Brand Radar review/listing: https://www.g2.com/products/ahrefs/reviews
  • Ahrefs Brand Radar Pricing in 2026: Why You'll See Two Different Prices: https://www.get-ryze.ai/blog/ahrefs-brand-radar-pricing-2026
  • Ahrefs Brand Radar Review 2026: Features, Pricing, Verdict: https://www.honeyb.ai/blog/ahrefs-brand-radar-review
  • Ahrefs Brand Radar Review 2026: Features, Pricing, Verdict: https://www.layer3labs.io/guides/ahrefs-brand-radar-review
  • Ahrefs Brand Radar review for agencies (2026: https://www.rankability.com/blog/ahrefs-brand-radar-review/
  • Ahrefs Brand Radar Review (2026): Good for SEO Teams, Not Enough for AEO: https://www.tryprofound.com/blog/ahrefs-brand-radar-review
  • Additional AI research evidence109 records
    1. AI research evidence record openai:c2
    2. AI research evidence record google:1.3.1
    3. AI research evidence record perplexity:c1
    4. AI research evidence record anthropic:source_4
    5. AI research evidence record openai:c1
    6. AI research evidence record perplexity:c5
    7. AI research evidence record google:1.1.1
    8. AI research evidence record anthropic:source_5
    9. AI research evidence record kimi:ahrefs-brand-radar
    10. AI research evidence record openai:c1
    11. AI research evidence record openai:c3
    12. AI research evidence record perplexity:c4
    13. AI research evidence record openai:c2
    14. AI research evidence record google:1.3.1
    15. AI research evidence record perplexity:c2
    16. AI research evidence record anthropic:source_12
    17. AI research evidence record google:1.2.4
    18. AI research evidence record openai:c4
    19. AI research evidence record grok:1
    20. AI research evidence record anthropic:source_5
    21. AI research evidence record perplexity:c5
    22. AI research evidence record google:2.1.3
    23. AI research evidence record google:2.2.6
    24. AI research evidence record openai:c5
    25. AI research evidence record deepseek:c4
    26. AI research evidence record google:2.1.6
    27. AI research evidence record google:3.2.8
    28. AI research evidence record kimi:ahrefs-brand-radar
    29. AI research evidence record deepseek:c1
    30. AI research evidence record openai:c2
    31. AI research evidence record google:1.3.1
    32. AI research evidence record openai:c4
    33. AI research evidence record google:3.1.4
    34. AI research evidence record perplexity:c4
    35. AI research evidence record deepseek:c6
    36. AI research evidence record anthropic:source_4
    37. AI research evidence record anthropic:source_11
    38. AI research evidence record google:2.2.1
    39. AI research evidence record anthropic:source_15
    40. AI research evidence record perplexity:c1
    41. AI research evidence record google:1.2.4
    42. AI research evidence record openai:c3
    43. AI research evidence record openai:c2
    44. AI research evidence record google:2.2.1
    45. AI research evidence record deepseek:c1
    46. AI research evidence record google:3.4.8
    47. AI research evidence record perplexity:c4
    48. AI research evidence record anthropic:source_9
    49. AI research evidence record deepseek:c6
    50. AI research evidence record deepseek:c4
    51. AI research evidence record google:3.2.3
    52. AI research evidence record openai:c5
    53. AI research evidence record google:2.2.6
    54. AI research evidence record kimi:ahrefs-brand-radar
    55. AI research evidence record google:3.1.6
    56. AI research evidence record anthropic:source_4
    57. AI research evidence record grok:1
    58. AI research evidence record anthropic:source_14
    59. AI research evidence record openai:c2
    60. AI research evidence record perplexity:c1
    61. AI research evidence record google:1.3.1
    62. AI research evidence record anthropic:source_15
    63. AI research evidence record anthropic:source_11
    64. AI research evidence record deepseek:c6
    65. AI research evidence record anthropic:source_5
    66. AI research evidence record google:3.2.8
    67. AI research evidence record deepseek:c4
    68. AI research evidence record google:1.1.1
    69. AI research evidence record openai:c2
    70. AI research evidence record google:3.1.4
    71. AI research evidence record deepseek:c5
    72. AI research evidence record perplexity:c1
    73. AI research evidence record google:1.2.4
    74. AI research evidence record anthropic:source_4
    75. AI research evidence record deepseek:c6
    76. AI research evidence record perplexity:c4
    77. AI research evidence record perplexity:c1
    78. AI research evidence record openai:c4
    79. AI research evidence record anthropic:source_1
    80. AI research evidence record google:3.2.2
    81. AI research evidence record anthropic:source_17
    82. AI research evidence record google:3.2.8
    83. AI research evidence record openai:c4
    84. AI research evidence record anthropic:source_1
    85. AI research evidence record anthropic:source_4
    86. AI research evidence record anthropic:source_17
    87. AI research evidence record anthropic:source_14
    88. AI research evidence record kimi:ayzeo-enterprise
    89. AI research evidence record kimi:georion-enterprise
    90. AI research evidence record kimi:ultrascout-enterprise
    91. AI research evidence record grok:2
    92. AI research evidence record perplexity:c4
    93. AI research evidence record google:3.2.8
    94. AI research evidence record openai:c4
    95. AI research evidence record perplexity:c4
    96. AI research evidence record perplexity:c1
    97. AI research evidence record anthropic:source_4
    98. AI research evidence record deepseek:c6
    99. AI research evidence record anthropic:source_14
    100. AI research evidence record google:3.2.3
    101. AI research evidence record google:1.2.4
    102. AI research evidence record google:2.2.7
    103. AI research evidence record google:3.3.6
    104. AI research evidence record openai:c2
    105. AI research evidence record google:1.2.4
    106. AI research evidence record google:3.1.4
    107. AI research evidence record perplexity:c1
    108. AI research evidence record deepseek:c6
    109. AI research evidence record anthropic:source_4

Verify this research

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

Study date
September 19, 2026
Platforms analyzed
7
Source records
59
Ranking mentions
4 of 7
Platform share
57%
Final consensus rank
#4

Research trail and source mix

Configured platforms

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

Source mix

28 independent · 31 company-owned

Evidence support

51 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 ff34c2cebba55b961f3433bd220c3019f58a8d80fc2c8a4805c650e32d769445