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AI Consensus Fit Review

Ahrefs AI Visibility Platform Fit Review for B2B Companies

Ahrefs is a good fit for B2B companies that already use Ahrefs for SEO and want AI visibility layered into the same account.

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

Answer Capsule

Ahrefs is a good fit for B2B companies that already use Ahrefs for SEO and want AI visibility layered into the same account. Two of the seven platforms in this study named Ahrefs during the ranking stage — DeepSeek (rank 4) and Perplexity (rank 9) — giving it an average listed rank of 6.5. The strongest reason to consider it is Ahrefs Brand Radar's combination of a large search-derived prompt index, competitor share-of-voice benchmarking, citation intelligence, and historical reporting inside an existing SEO workflow [1]. The main limitation is that it is a monitoring and research layer, not a controlled buying-journey measurement or revenue-attribution system, and its pricing and packaging are inconsistently documented across public pages [3].

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7 platforms (DeepSeek, Perplexity)
Share of included platform responses28.6%
Average listed rank6.5
Best listed rank4 (DeepSeek)
Relevant product/model/planAhrefs Brand Radar AI, including the AI Visibility Index and Custom Prompts
Overall use-case fitGood, with material caveats for standalone buying-journey measurement
Research date2026-09-19

Why Ahrefs Qualified for This Study

Questions This Section Answers

  • Is Ahrefs a good choice for AI visibility tracking for B2B companies?
  • How many AI platforms recommended Ahrefs for B2B AI visibility, and at what rank?

Ahrefs qualified because two of the seven platforms in this study named it during ranking discovery, clearing the two-mention threshold. DeepSeek placed it at rank 4 and Perplexity at rank 9, producing an average listed rank of 6.5 and a final rank of 9 across the field [5]. The remaining five platforms evaluated Ahrefs' fit but did not name it in their ranked recommendations, so the consensus here is limited rather than broad.

Qualification does not mean uniform endorsement. Fit ratings split across the panel: OpenAI, Anthropic, and Perplexity rated Ahrefs a good fit; DeepSeek, Grok, and Google rated it mixed; Kimi rated it weak. That spread is itself a finding — Ahrefs is a credible option for some B2B buyers and a poor one for others, depending on whether they already run Ahrefs and whether they need controlled prompt panels or revenue attribution.

The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for B2B Companies

Questions This Section Answers

  • Which Ahrefs product should a B2B buyer evaluate for AI visibility tracking?
  • Does Ahrefs Brand Radar track custom B2B buyer prompts, or only a prebuilt prompt index?

The relevant product is Ahrefs Brand Radar AI, which combines a pre-collected AI Visibility Index with Custom Prompts [7]. The index supports broad brand and competitor discovery across a large search-derived prompt set; Custom Prompts let a buyer track exact questions, including competitor comparisons and other pipeline-relevant prompts, at cadences from monthly to daily [8].

Brand Radar sits inside the main Ahrefs dashboard alongside Site Explorer and Keywords Explorer, so buyers do not purchase a separate product to reach it [9]. Ahrefs describes the index as covering Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Copilot, with Custom Prompts additionally supporting Claude [7]. Grok collection was temporarily unavailable for new data in the cited help documentation [7].

One structural caveat matters for B2B buyers: the AI Visibility Index is modeled from Ahrefs search data, so it can underrepresent low-volume, emerging, highly technical, or account-specific B2B questions [8]. Custom Prompts address that gap but do not backfill history — tracking begins at activation [8].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Ahrefs Brand Radar does well for B2B AI visibility?
  • Is Ahrefs Brand Radar strong for competitor analysis and citation intelligence?

The clearest cross-platform agreement is that Brand Radar is strongest as an integrated research and benchmarking layer for teams already inside Ahrefs. Anthropic's research concluded it is the right tool for teams that already pay for Ahrefs and want to track AI mentions without adding a second vendor, and that it fits in-house SEO teams, agencies managing multiple client brands, and B2B SaaS teams with a stable, small competitor set [11]. OpenAI reached a similar conclusion, describing Brand Radar as particularly strong for B2B teams already invested in Ahrefs [13].

Competitor benchmarking is the second area of agreement. Brand Radar reports AI Share of Voice, mentions, citations, impressions, and comparative performance for selected brands and competitors [13]. Perplexity's research noted that the Overview report shows AI visibility, AI Share of Voice against competitors, and niche-level comparison [15]. Google's research described the same capability as calculating AI Share of Voice and modeling estimated impressions against competitors across ChatGPT, Gemini, Perplexity, Copilot, and Google AI Overviews [17].

Citation intelligence drew agreement as well. Brand Radar distinguishes cited pages or domains from pages found but not cited, and reports citation metrics, cited sources, citation position, and historical citation trends [13]. Independent reviews describe a "Cited domains" and "Cited pages" report showing which third-party sites AI models reference when discussing a brand [19]. Ahrefs' own academy material frames the report around identifying which domains and pages earn citations [21].

Historical reporting and workflow integration round out the shared ground. The AI Visibility Index provides historical responses dating back to 2025 with monthly retesting and a 90-day reporting window for its question sets [14]. Reports can be saved, combined in Ahrefs Report Builder, accessed through API, and connected to Looker Studio, with history charts for mentions, impressions, and AI Share of Voice [13].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Where do AI platforms disagree about Ahrefs Brand Radar's accuracy and coverage?
  • Is Ahrefs Brand Radar reliable enough for precise B2B prompt-level measurement?

The sharpest disagreement concerns accuracy. Grok's research cited independent tests showing significant undercounting — for example, 3 versus 123 ChatGPT mentions and 6 versus 212 Perplexity mentions [22]. Google's research also flagged documented accuracy concerns in independent tests [24]. OpenAI's research did not report accuracy failures but noted that independent evidence establishing accuracy, completeness, or correlation with B2B pipeline outcomes is limited [25]. These are not reconcilable from the supplied evidence; buyers should treat mention counts as directional until they verify against their own manual checks.

Pricing and packaging produced the most confusion. Ahrefs public pages report different AI-index sizes — 405M+, 455M+, and 475M+ prompts — and the buyer should treat the exact current count as time-sensitive [26]. Public pricing shows Brand Radar at $199/month, an all-models option at $699/month, and Custom Prompt packages from $50/month, but the relationship among these products, required base subscriptions, and included model quotas is not fully clear from the public page layout [29]. Perplexity's research found that one Ahrefs FAQ claims Brand Radar is sold standalone from $50/month with no Ahrefs subscription required, directly conflicting with other pages [30]. DeepSeek's research rated pricing confidence low and recommended verifying current US prices directly [31].

Platform coverage also drew mixed treatment. OpenAI and Anthropic both note Claude is limited to Custom Prompts rather than the standard index, and that Claude custom checks consume eight checks each [32]. Grok's research stated no Claude coverage at all [33]. Kimi's research went further, concluding that Ahrefs' AI visibility feature depth was unverified and that its core identity remains SEO and backlink intelligence [34] — the only weak rating in the panel.

Refresh cadence is a third uncertainty. Google's research reported that core chatbot indexes update only once a month, which it called highly limiting for fast-paced campaigns [36]. OpenAI's research described monthly retesting for the index and cadence options from monthly to daily for Custom Prompts [26]. Buyers needing near-real-time reruns should confirm the cadence attached to their specific package.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Ahrefs Brand Radar cover prompt-level recommendation data, competitor analysis, citation intelligence, and historical tracking for B2B buyers?
  • Can Ahrefs Brand Radar segment B2B prompts by funnel stage or persona?

Against the five criteria in this study's use case, Ahrefs shows three advantages, two neutral findings, and one limitation.

Prompt-level recommendation data — advantage. Custom Prompts track exact buyer questions, including competitor comparisons, with cadence options from monthly to daily; data starts accumulating only after setup [37]. Independent research notes prompt-level tracking was added in January 2026 for paid Ahrefs customers, aimed at questions broad prompt samples miss [38]. A B2B software team might track questions such as "best project management software for agencies" or "how to choose CRM software for a small sales team," spanning research, comparison, and implementation stages [39].

Competitor analysis — advantage. Brand Radar reports AI Share of Voice, mentions, citations, impressions, and comparative performance [41]. Independent research describes a B2B SaaS scenario where a marketing team uses "Cited domains" and "Cited pages" reports to find competitor citations from "alternative to [our brand]" articles, and uses an "Others only" filter to find unbranded, problem-aware prompts where a competitor is recommended [42].

Citation intelligence — advantage. The product distinguishes cited pages or domains from pages found but not cited, and reports citation metrics, cited sources, citation position, and historical citation trends [41]. Ahrefs' own academy material describes the report's purpose as identifying which domains and pages earn citations [45].

Historical tracking — advantage with a caveat. The AI Visibility Index provides historical responses dating back to 2025 with monthly retesting and a 90-day reporting window [37]. Custom Prompts do not backfill history [37]. Independent research notes YouTube data goes back to December 2023, so brands mentioned before that date may have untrackable history [46].

B2B buying-journey coverage — neutral. Ahrefs maps prompts to search demand and topic clusters and supports category, comparison, and pricing-oriented research, but the index is derived from Ahrefs keyword data and may have limited coverage for brands or queries with little search demand [37]. Independent research frames the tool as a monitoring layer rather than an execution platform: "the gap is everything that comes after seeing it — diagnosing why a competitor is cited and your client isn't, then shipping the content and citations that change it" [48].

Attribution and revenue impact — limitation. Brand Radar tells you that you appeared in an AI answer; it does not tell you whether anyone clicked, what page they landed on, what they did once there, or how that visit influenced revenue [49]. Public documentation does not establish reliable revenue attribution, pipeline influence, or recommendation-to-conversion measurement [41].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Ahrefs Brand Radar cost per month, and are there setup or cancellation fees?
  • Is Ahrefs Brand Radar cheaper than standalone AI visibility tools for a B2B team?

Pricing is the least settled part of this evaluation. Ahrefs lists Brand Radar AI at $199/month for the AI Visibility Index, with an all-models option listed at $699/month, and Custom Prompts from $50/month [51]. Custom Prompt packages are listed as Basic $50/month plus 2,500 checks, Growth $100/month plus 7,000 checks, and Scale $250/month plus 25,000 checks, with overage at $0.020, $0.015, or $0.010 per check depending on package [51]. Tracking one prompt on one platform in one location uses one check [51].

Base plan pricing is reported inconsistently. One set of sources lists Lite at $129/month, Standard at $249/month, Advanced at $449/month, and Enterprise at $1,499/month with annual commitment required [52]. Another lists a $29/month Starter plan as monthly-only, with Lite at $129/month or $108/month annual [52]. Google's research reported a realistic entry price of $828/month for full coverage — a $129/month base plan plus the $699/month all-indexes bundle [54]. Perplexity's research found an Ahrefs FAQ claiming standalone pricing from $50/month with no Ahrefs subscription required, which conflicts with the add-on framing elsewhere [56].

Additional costs to verify: added user seats at $40, $60, or $80 per user depending on plan [51]; YouTube and TikTok tracking expansion reported at $199/month while in beta [57]; API usage consuming Ahrefs API units [51]; and beta channels such as YouTube, Reddit, and TikTok described as free while in beta but potentially becoming chargeable add-ons [51].

Contract terms are also unevenly documented. Enterprise requires an annual commitment according to the public pricing page [51]. Annual billing is reported to save up to 17%, structured as two months free rather than a percentage discount [58]. There is no free trial; the $29 Starter plan is described as the only low-cost way to evaluate before committing [59]. Self-serve cancellation, refund, renewal, and whether Brand Radar can be purchased independently without an Ahrefs base account should be confirmed directly with Ahrefs [51].

On cost competitiveness, independent research argues Semrush's AI Visibility Toolkit is a $99/month add-on bringing the total to around $265/month, which it describes as still a third of Brand Radar's cost, and characterizes Ahrefs as pricing AI visibility as a premium, enterprise-oriented product [61]. The counterargument, also from independent research, is that for buyers already paying for Ahrefs at Standard tier or above, Brand Radar is effectively a large price cut versus buying a standalone tool for the same job [63].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Ahrefs Brand Radar for B2B AI visibility?
  • Is Ahrefs Brand Radar worth it for a B2B team already paying for Ahrefs SEO?

Ahrefs Brand Radar is best suited to B2B companies already using Ahrefs for SEO, competitive research, content, or reporting [65]. For that group, the marginal cost of adding AI visibility is lower than buying a standalone tool, and the AI data sits alongside keyword, backlink, and site data the team already uses [66].

It also fits teams that want broad discovery across competitor-comparison, category, pricing, and vendor-selection topics before they have a mature prompt list [65]. The search-derived index surfaces category and comparison questions without manual setup, which is useful for teams still building their prompt inventory [68].

Organizations needing citation and domain analysis, share-of-voice benchmarking, historical trends, API access, or Looker Studio reporting are a third fit [65]. Independent research adds agencies managing multiple client brands inside one Ahrefs account, and B2B SaaS teams where the same handful of competitors keep appearing in AI answers [71].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Ahrefs Brand Radar for B2B AI visibility?
  • Is Ahrefs Brand Radar a poor fit for teams needing daily controlled prompt monitoring?

Teams whose primary requirement is exhaustive daily monitoring of a small, highly controlled prompt panel should look elsewhere [73]. Custom Prompts do not backfill history, and the public documentation does not clearly establish complete controls for geography, language, logged-in state, persona, personalization, or exact model/version selection for every platform [73].

Companies with very low search demand or unusual niche queries are also a poor fit, because the AI Visibility Index is modeled from Ahrefs search data and can underrepresent low-volume, emerging, or highly technical B2B questions [74]. Independent research reaches the same conclusion, describing Ahrefs as the wrong fit if you need enterprise-grade prompt discovery across thousands of category prompts [75].

Buyers requiring guaranteed model-specific, location-specific, persona-specific, or revenue-attribution reporting should not expect those from Brand Radar [73]. Independent research states plainly that Brand Radar does not tell you whether anyone clicked, what page they landed on, what they did once there, or how that visit influenced revenue [76]. Teams with no existing Ahrefs subscription face both standalone cost and onboarding overhead, and independent research describes a standalone specialist tool as a cleaner buy in that case [75].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Ahrefs Brand Radar for automatic B2B prompt discovery?
  • When should a B2B buyer choose a dedicated AI visibility platform over Ahrefs Brand Radar?

Choose a dedicated prompt-monitoring platform when the core requirement is daily or near-real-time reruns of a controlled B2B prompt panel across selected models, locations, personas, and answer variants [77]. Independent research points to Semrush AI Visibility Toolkit, which automatically discovers thousands of industry-relevant prompts and benchmarks visibility against industry averages with no manual setup required [78]. The same research notes Semrush's toolkit is a $99/month add-on [80].

Choose a platform with stronger workflow, sentiment, or action-prioritization features when the team needs operational optimization rather than SEO-linked visibility research [77]. Independent research notes Brand Radar lacks qualitative sentiment analysis and does not provide actionable content execution [81]. It also describes the tool as focused entirely on monitoring without executing content creation or linking workflows, necessitating additional writing tools and SEO services [82].

Consider a complementary analytics or attribution system when the buyer needs to connect AI visibility to qualified pipeline, opportunities, revenue, or closed-won outcomes [77]. Independent research frames this as a requirement for a dedicated tool or process to measure AI discovery impact [83].

For buyers who need dedicated Claude and emerging LLM tracking, independent research cites Cairrot, an AEO tool offering tracking for 5 LLMs including Claude and DeepSeek at $99/month with a free API [84]. Smaller teams monitoring a limited prompt set across several AI engines may find Brand Radar expensive for that narrow job [85].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a B2B buyer confirm with Ahrefs before signing a Brand Radar contract?
  • Which Brand Radar package and base plan does a buyer actually need?

The supplied research produced a consistent verification list across platforms. Confirm the exact Brand Radar package required for the desired AI platforms and whether an Ahrefs base subscription is mandatory [86]. Confirm whether the quoted $199/month price includes the AI Visibility Index only, Custom Prompts, or both, and what exactly the $699/month all-models option contains [88].

Confirm which AI models, versions, locations, languages, personalization states, and logged-in states are actually used for each tracked platform [86]. Confirm whether custom prompts can be segmented by funnel stage, persona, geography, product line, industry, or competitor set [86]. Confirm maximum custom-prompt counts, refresh frequencies, retention periods, and export limits under the proposed package [86].

Confirm how AI Share of Voice, impressions, mentions, citations, and found-in events are deduplicated and weighted [86]. Confirm whether the platform can report recommendation position, sentiment, product attributes, and answer-level changes for B2B comparison prompts [86]. Confirm what happens to historical data, reports, API access, and exports after cancellation or downgrade [86]. Confirm whether API, Looker Studio, Report Builder, additional users, and overage charges are included or separately billed [88]. Confirm when Grok data resumes and which beta-channel features may become paid add-ons [86]. Finally, ask what independent validation or customer evidence exists linking Brand Radar findings to qualified pipeline or revenue [86].

Final AI Consensus Verdict

Ahrefs is a good fit for B2B companies already invested in Ahrefs that want broad vendor-discovery and competitor-comparison visibility, citation intelligence, search-demand context, historical analysis, and executive reporting [90]. It is not an unequivocally strong fit as a standalone buying-journey measurement system, because coverage is search-derived, custom prompts lack backfill, pricing and package boundaries are changing, and public evidence does not establish revenue attribution or complete control over model and context variables [90].

The panel was not unanimous. Three platforms rated the fit good, three rated it mixed, and one rated it weak. Only two platforms named Ahrefs during ranking discovery, so the consensus behind its inclusion is limited. Buyers should treat the agreement on competitor benchmarking and citation intelligence as the reliable signal, and treat accuracy claims, pricing, and platform coverage as items requiring direct verification with Ahrefs before purchase.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms, each of which independently evaluated Ahrefs against the same B2B AI visibility use case: prompt-level recommendation data, competitor analysis, citation intelligence, historical tracking, and reporting that reflects a B2B buying journey. Two platforms named Ahrefs during ranking discovery; all seven evaluated its fit.

The research date for this study is 2026-09-19. Platform-reported research dates differ: DeepSeek's response carries a research date of 2026-01-15, while the other six platforms report 2026-09-19. Citations are platform-reported evidence, not independently verified facts. Claims drawn from Ahrefs-owned pages are company-owned evidence; claims from third-party reviews are independent but not verified by this review. No personal testing, customer experience, or independent verification was performed.

Methodology Limitations

Several limitations apply. The supplied URLs were collected from platform responses and were not independently validated. Official-site retrieval for Ahrefs failed during this run because the page exceeded the size limit, so no official-page excerpt was used as a verified fact source. One platform (DeepSeek) ran without search enabled, so its claims rely on model knowledge rather than retrieved pages. Platform-reported research dates differ from the authoritative run date and do not independently prove freshness.

Pricing and packaging conflicts were not resolved by guessing. Ahrefs public pages report different AI-index sizes (405M+, 455M+, 475M+ prompts), and the relationship among the $199/month index, the $699/month all-models option, and Custom Prompt packages is not fully clear from the public page layout. One Ahrefs FAQ reportedly claims standalone pricing from $50/month with no Ahrefs subscription required, conflicting with add-on framing elsewhere. Independent evidence establishing accuracy, completeness, or correlation with B2B pipeline outcomes is limited. Grok's temporary data-collection limitation may have changed after the cited help-page update and should be reconfirmed.

See the broader AI Visibility Platforms for B2B Companies consensus index for comparisons across qualified options.

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

Sources

Company-Owned Sources

  • Ahrefs — SEO Tools & Resources To Grow Your Search Traffic: https://ahrefs.com/
  • Ahrefs Pricing: How to Choose the Right Ahrefs Plan: https://ahrefs.com/blog/ahrefs-pricing/
  • Ahrefs Brand Radar Methodology: https://ahrefs.com/blog/brand-radar-methodology/
  • How to Track AI Overviews: Mentions, Citations, Click Loss, and the Traffic Google Won't Show You: https://ahrefs.com/blog/how-to-track-ai-overviews/
  • Grok in Brand Radar, higher API limits, and more: https://ahrefs.com/blog/new-features-apr-2026/
  • Ahrefs Brand Radar: See ANY brand’s AI visibility: https://ahrefs.com/brand-radar
  • Ahrefs FAQ | Frequently asked questions: https://ahrefs.com/faq
  • Centium | AI Visibility Platform for Brands: https://centium.ai/
  • AI Visibility Tracking | Centium: https://centium.ai/platform/visibility
  • Right Now, AI Is Telling Your Buyers Who to Buy From: https://gracker.ai/ai-visibility
  • About Brand Radar | Help Center - Ahrefs: https://help.ahrefs.com/en/articles/11064852-about-brand-radar
  • Trakkr | AI Visibility Platform for Brands & Agencies: https://trakkr.ai/
  • Visibility Tracker — See Every AI Answer | Viali: https://viali.ai/product/visibility-tracking/
  • SE Visible — An AI Visibility Tool Made to Empower Brands: https://visible.seranking.com/
  • AI Brand Visibility Tool - See What AI Says About You: https://www.mentionlytics.com/product/ai-visibility/
  • Additional AI research evidence91 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:3-1
    3. AI research evidence record openai:c5
    4. AI research evidence record perplexity:c14
    5. AI research evidence record openai:c1
    6. AI research evidence record perplexity:c1
    7. AI research evidence record openai:c1
    8. AI research evidence record openai:c2
    9. AI research evidence record anthropic:32-3
    10. AI research evidence record anthropic:29-4
    11. AI research evidence record anthropic:6-1
    12. AI research evidence record anthropic:6-2
    13. AI research evidence record openai:c1
    14. AI research evidence record openai:c2
    15. AI research evidence record perplexity:c12
    16. AI research evidence record perplexity:c13
    17. AI research evidence record google:ahrefs_radar_features
    18. AI research evidence record openai:c3
    19. AI research evidence record anthropic:4-1
    20. AI research evidence record anthropic:4-3
    21. AI research evidence record anthropic:26-7
    22. AI research evidence record grok:web:7
    23. AI research evidence record grok:web:2
    24. AI research evidence record google:nbound_review
    25. AI research evidence record openai:c5
    26. AI research evidence record openai:c2
    27. AI research evidence record grok:web:1
    28. AI research evidence record perplexity:c3
    29. AI research evidence record openai:c4
    30. AI research evidence record perplexity:c14
    31. AI research evidence record deepseek:c6
    32. AI research evidence record openai:c1
    33. AI research evidence record grok:web:0
    34. AI research evidence record kimi:ahrefs-official-2026
    35. AI research evidence record kimi:ahrefs-brand-radar-unverified
    36. AI research evidence record google:meev_review
    37. AI research evidence record openai:c2
    38. AI research evidence record anthropic:7-3
    39. AI research evidence record anthropic:7-4
    40. AI research evidence record anthropic:7-7
    41. AI research evidence record openai:c1
    42. AI research evidence record anthropic:4-4
    43. AI research evidence record anthropic:4-9
    44. AI research evidence record anthropic:24-4
    45. AI research evidence record anthropic:26-7
    46. AI research evidence record anthropic:3-6
    47. AI research evidence record anthropic:3-8
    48. AI research evidence record anthropic:2-5
    49. AI research evidence record anthropic:5-1
    50. AI research evidence record anthropic:5-2
    51. AI research evidence record openai:c4
    52. AI research evidence record anthropic:15-1
    53. AI research evidence record anthropic:18-6
    54. AI research evidence record google:trakkr_pricing
    55. AI research evidence record google:nbound_review
    56. AI research evidence record perplexity:c14
    57. AI research evidence record anthropic:3-9
    58. AI research evidence record anthropic:15-11
    59. AI research evidence record anthropic:15-4
    60. AI research evidence record anthropic:18-3
    61. AI research evidence record anthropic:34-4
    62. AI research evidence record anthropic:34-5
    63. AI research evidence record anthropic:32-10
    64. AI research evidence record anthropic:6-7
    65. AI research evidence record openai:c1
    66. AI research evidence record anthropic:32-10
    67. AI research evidence record anthropic:3-1
    68. AI research evidence record grok:web:1
    69. AI research evidence record anthropic:29-15
    70. AI research evidence record openai:c3
    71. AI research evidence record anthropic:6-2
    72. AI research evidence record anthropic:2-7
    73. AI research evidence record openai:c1
    74. AI research evidence record openai:c2
    75. AI research evidence record anthropic:6-3
    76. AI research evidence record anthropic:5-2
    77. AI research evidence record openai:c1
    78. AI research evidence record anthropic:1-11
    79. AI research evidence record anthropic:1-12
    80. AI research evidence record anthropic:34-4
    81. AI research evidence record google:profound_review
    82. AI research evidence record google:snoika_vs_ahrefs
    83. AI research evidence record anthropic:20-13
    84. AI research evidence record anthropic:34-3
    85. AI research evidence record anthropic:31-10
    86. AI research evidence record openai:c1
    87. AI research evidence record perplexity:c14
    88. AI research evidence record openai:c4
    89. AI research evidence record anthropic:15-4
    90. AI research evidence record openai:c1
    91. AI research evidence record openai:c2

Independent Sources

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Study date
September 19, 2026
Platforms analyzed
7
Source records
54
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#9

Research trail and source mix

Configured platforms

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

Source mix

31 independent · 23 company-owned

Evidence support

48 direct · 4 partial

Important limitation

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

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