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AI Consensus Fit Review

Ahrefs AI Visibility Audit Service Fit Review

Ahrefs is a qualified but contested fit for AI Visibility Audit Services.

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

Answer Capsule

Ahrefs is a qualified but contested fit for AI Visibility Audit Services. Two of seven platforms named it during the ranking stage — OpenAI ranked it #1, DeepSeek ranked it #5 — giving it an average listed rank of 3.0 and a 28.6% share of included platform responses. The strongest reason to consider it is Brand Radar's combination of a large search-backed prompt index, competitor benchmarking, prompt-level gap analysis, and citation-source reporting inside an existing SEO workflow [1]. The main limitation is that fit ratings split sharply: OpenAI called it a strong fit, Google and Perplexity called it good, Anthropic and Grok called it mixed, DeepSeek called it weak, and Kimi could not verify the product at all. Independent testing also documents severe ChatGPT and Perplexity undercounting [3].

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7 platforms (deepseek, openai)
Share of included platform responses28.6%
Average listed rank3.0
Best listed rank1 (OpenAI)
Relevant product/model/planAhrefs Brand Radar / Brand Radar AI; All Platforms at $699/month, or individual AI-platform access from $199/month
Overall use-case fitMixed — strong for integrated SEO-plus-AI benchmarking; weak for precise ChatGPT/Perplexity mention auditing
Research date2026-09-18

Why Ahrefs Qualified for This Study

Questions This Section Answers

  • Is Ahrefs a good choice for AI Visibility Audit Services in 2026?
  • How many AI platforms recommended Ahrefs for AI visibility audits, and at what rank?
  • Why did Ahrefs qualify for this AI Visibility Audit Services study if only two platforms named it?

Ahrefs qualified because it cleared the study's minimum-mentions threshold: two of the seven included platforms named it during ranking discovery, and it was the only entity in this review to receive a #1 listing from any platform (openai). Its 28.6% platform share and 3.0 average listed rank place it in the qualified tier rather than the consensus tier.

The qualification is narrow. Five of the seven platforms did not name Ahrefs in their ranking stage at all, so the fit evidence below comes from platforms that evaluated Ahrefs after it was surfaced, not from a broad recommendation consensus. The deterministic identity audit also notes that official-site retrieval failed for at least one mention and that the matching domain was retained but remains unverified [5].

Platform fit ratings for this specific use case diverged widely: OpenAI rated it strong, Google and Perplexity rated it good, Anthropic and Grok rated it mixed, DeepSeek rated it weak, and Kimi rated it uncertain. That spread is the single most important fact in this review — it means the answer to "is Ahrefs a good fit" depends heavily on which audit capability the buyer weights most.

The Product, Model, Plan, or Service Most Relevant to AI Visibility Audit Services

Questions This Section Answers

  • Which Ahrefs product should a buyer use for AI Visibility Audit Services?
  • Does Ahrefs Brand Radar AI work as a standalone AI visibility audit tool, or does it require an Ahrefs subscription?
  • What does the Ahrefs All Platforms plan include for AI visibility auditing?

The relevant product is Ahrefs Brand Radar (also described as Brand Radar AI), not the broader Ahrefs SEO suite. Brand Radar is the module that maps brand mentions, citations, AI Share of Voice, and competitor visibility across AI answer platforms [6].

Platforms disagree on packaging. OpenAI, Anthropic, Grok, and Google describe Brand Radar as an add-on layered on a paid Ahrefs base plan, with individual AI-platform indexes at $199/month and All Platforms at $699/month [9]. Perplexity found an Ahrefs FAQ page stating Brand Radar is sold standalone from $50/month with no Ahrefs subscription required [13] — a direct conflict with the add-on framing that Perplexity itself flagged as unresolved [14]. DeepSeek and Kimi could not verify the product's existence or feature set against an official site at all [15].

Buyers should treat the standalone-versus-add-on question as open and confirm it in writing before purchase. The product name itself is also inconsistent across sources — "Brand Radar," "Brand Radar AI," and "AI search visibility features" all appear in the supplied research.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Ahrefs Brand Radar does well for AI visibility audits?
  • Does Ahrefs Brand Radar cover Google AI Overviews, ChatGPT, Perplexity, Gemini, and Copilot?
  • Is Ahrefs Brand Radar useful for competitor benchmarking and citation-source analysis?

Platforms broadly agreed on four capabilities, though the strength of that agreement varies by platform.

Platform coverage. Multiple platforms reported that Brand Radar tracks six AI surfaces: Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot [17]. DeepSeek reported coverage of ChatGPT, Perplexity, and Copilot but could not confirm the full list [20].

Prompt database scale. Ahrefs-owned pages describe a search-backed prompt index in the hundreds of millions, sourced from Google search behavior and People Also Ask data [21]. Independent reviewers repeat the same figure [24]. The exact number varies by page and date — reported totals include approximately 405M, 455M, 456M, 459M, and 475M [21].

Competitor benchmarking and Share of Voice. Platforms agreed that Brand Radar calculates AI Share of Voice against competitors using a shared prompt set [26]. Google described filtering that isolates queries where a competitor is cited but the buyer's brand is not [29].

Citation-source reporting. Platforms agreed Brand Radar surfaces cited domains and cited pages alongside brand mentions, and that this data is available through both the interface and an API [30]. Google specifically highlighted off-site domain intelligence showing where AI platforms pull brand facts [33].

Agreement on these four points does not establish that the underlying numbers are accurate. It establishes that platforms describe the same feature set.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How accurate is Ahrefs Brand Radar for tracking ChatGPT and Perplexity brand mentions?
  • Does Ahrefs Brand Radar cover Claude, Grok, and Meta AI?
  • Is Ahrefs Brand Radar a structured audit service or only a monitoring tool?

This is where the review becomes genuinely contested, and buyers should read this section before any other.

Accuracy on ChatGPT and Perplexity. Independent testing reported by Anthropic's research found Brand Radar showing 3 ChatGPT mentions globally against 123 actual mentions, and 6 Perplexity mentions against 212 actual — roughly 97% undercounting on both platforms [34]. The same research attributes the gap to keyword-first prompt selection that misses an estimated 88% of real user queries, described as "dark queries" [37]. Ahrefs' own methodology page describes millions of monthly queries executed per platform, which does not obviously reconcile with the independent findings [39]. The supplied research does not resolve this conflict, and buyers should not assume either side is correct.

Google AI Overviews accuracy. Independent reviewers separately reported that Google AI Overviews tracking is directionally accurate and the strongest component of the product [40]. This is the one accuracy claim where independent sources converge positively.

Missing platforms. Multiple platforms reported that Brand Radar does not cover Claude, Grok, or Meta AI [43]. OpenAI noted that custom prompts can include Claude and Grok, but that Ahrefs states new Grok data collection is currently unavailable [46]. This is a coverage limitation, not a disputed fact.

Audit versus monitoring. DeepSeek rated Ahrefs weak specifically because it is positioned as a monitoring and brand-intelligence tool rather than a structured audit with scorecards, citation gap analysis, technical RAG audits, and prioritized fix roadmaps [47]. Google reached a similar conclusion from a different angle, noting Brand Radar lacks built-in execution workflows and automated content optimization [45]. OpenAI and Anthropic both acknowledged the same gap but treated it as a scope boundary rather than a disqualifier (openai, anthropic).

Sentiment and accuracy scoring. Anthropic and Google both reported that Brand Radar does not provide sentiment classification, hallucination detection, or recommendation-versus-warning framing [50]. Google noted some official materials reference basic sentiment tracking while independent audits describe response excerpts rather than programmatic scoring — an unresolved conflict.

Product verification. Kimi could not verify the product's existence, pricing, or AI-platform coverage against an official site, and reported that no web search results mentioned Ahrefs in an AI visibility audit context [53]. This is a verification failure, not evidence that the product does not exist.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Which Ahrefs Brand Radar features matter most for a marketing team running an AI visibility audit?
  • Can Ahrefs Brand Radar show which prompts and citations drive competitor visibility?
  • Does Ahrefs Brand Radar support custom prompts, location targeting, and recurring refreshes?

Mapped against the buyer's stated criteria, the supplied evidence supports the following.

Buyer criterionAhrefs Brand Radar capabilityEvidence strength
Where the brand appearsMentions, citations, AI Share of Voice, estimated impressions across six AI surfacesStrong, multi-platform agreement
Which competitors outperform itCompetitor Share of Voice on a shared prompt set; filters for competitor-cited, brand-absent queriesStrong
Which prompts matterCustom Prompts with platform and location selection, daily/weekly/monthly refreshes, prompt groupingStrong
Where citations originateCited-page and citation-overview reporting; API citation fields; country filteringStrong
Citation architecture vs. competitorsCited-domain and cited-page comparison; competitor citation filtersModerate — described by platforms, but Perplexity and DeepSeek both flagged depth as unverified
What to prioritize nextPrompt gaps, competitor-only results, cited pages, AI traffic, bot visits, search demandModerate — OpenAI rated this neutral, noting the product does not establish that recommendations produce business outcomes

Two capability gaps recur across platforms. First, there is no execution layer: Brand Radar identifies gaps but does not produce content, outreach, or optimization changes [54]. Second, there is no sentiment or fact-accuracy scoring, so a team cannot tell whether an AI mention is a recommendation, a warning, or a hallucination [55].

Google also flagged a practical edge case: the topics feature can confuse brand names that double as common words unless competitor lists are manually pruned [57].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Ahrefs Brand Radar cost per month for AI visibility auditing?
  • Are there setup, overage, or cancellation fees with Ahrefs Brand Radar?
  • What is the minimum total cost of Ahrefs for AI Visibility Audit Services?

Published pricing is consistent on the headline numbers and inconsistent on almost everything else.

Headline costs reported across platforms:

  • Individual AI-platform index: $199/month [58]
  • All Platforms access: $699/month, including 2,500 custom-prompt checks [58]
  • Custom-prompt packages: $50/month for 2,500 checks, $100/month for 7,000 checks, $250/month for 25,000 checks [62]
  • Overage rates: $0.010–$0.020 per check depending on package [62]

Base plan costs reported by Anthropic and Grok: Lite $129/month, Standard $249/month, Advanced $449/month, with additional seats at $40–$100/month depending on tier [64].

Total cost is where sources diverge. Anthropic calculated a minimum of $828/month for a new customer (Lite base plus All Platforms) and up to $1,148/month depending on tier and seats [65]. Connor Kimball reported a $328/month minimum (Lite plus one index) [65]. EWR Digital reported $828–$1,148/month for full coverage against a $337/month industry average [67]. Perplexity found an Ahrefs FAQ page stating standalone Brand Radar starts at $50/month with no base subscription required [68]. These figures cannot all be correct simultaneously, and the supplied research does not reconcile them.

Contract terms. Anthropic reported month-to-month billing with cancellation available anytime from account settings and access continuing through the paid period, plus an unspecified annual discount (anthropic). Grok reported monthly billing standard with annual discounts up to 17% on some plans and custom Enterprise terms [60]. Perplexity reported that public Ahrefs pages checked did not clearly establish cancellation or minimum-term terms [69]. OpenAI's research explicitly stated that public sources reviewed did not clearly establish minimum contract length, cancellation timing, or refund policy (openai).

Additional fees. Custom-prompt overages, additional user seats, API-unit consumption for requests containing Ahrefs prompt data, and a reported $199/month YouTube/TikTok add-on after beta [70]. Pricing confidence was rated high by Anthropic and Google, moderate by OpenAI and Grok, and low by DeepSeek, Kimi, and Perplexity.

Best Suited For

Questions This Section Answers

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

Ahrefs Brand Radar is best suited to marketing teams already paying for an Ahrefs SEO subscription who want to add AI visibility as an integrated research layer rather than buy a second tool. Anthropic noted that for teams already at Standard tier, Brand Radar is effectively a large price cut versus buying a standalone AI visibility product [72].

It also fits teams running macro-level competitive intelligence — directional Share of Voice trending, category-level prompt research, and Google AI Overviews monitoring — without requiring per-prompt precision [73]. Google specifically highlighted that the prebuilt prompt database eliminates tracking setup time, letting teams query historical data immediately [73].

Agencies that prioritize a single-pane-of-glass dashboard combining SEO and AI visibility over specialist depth are also a reasonable fit (anthropic). OpenAI's assessment added teams needing prompt-level gaps, cited-page analysis, and recurring measurement to this list (openai).

Probably Not Best Suited For

Questions This Section Answers

  • Who should not buy Ahrefs Brand Radar for AI visibility auditing?
  • Is Ahrefs Brand Radar suitable for a team that needs precise ChatGPT mention counts?

Teams whose primary audit need is precise mention or citation counts on ChatGPT and Perplexity should not buy Brand Radar on the strength of its marketing claims. Independent testing documented roughly 97% undercounting on both platforms [74], and the supplied research does not show that Ahrefs has acknowledged or remediated the gap.

Teams needing sentiment analysis, hallucination detection, or recommendation-versus-warning classification should also look elsewhere; multiple platforms reported Brand Radar does not provide these [77].

Organizations requiring Claude, Grok, or Meta AI coverage are not served by the standard product [79]. Teams needing a managed consulting audit with strategy execution, content production, or digital PR should not expect Brand Radar to deliver it [82].

Budget-constrained buyers seeking a standalone, low-cost audit should note that DeepSeek rated Ahrefs weak specifically because one-off specialist audits are available at $29–$399 while Brand Radar is subscription-only [82].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Ahrefs for a buyer who needs precise ChatGPT and Perplexity mention counts?
  • When should a buyer choose a one-off AI visibility audit instead of an Ahrefs Brand Radar subscription?

Anthropic's research named specific alternatives by scenario: Otterly AI, Peec, RankScale, and Omnia for more accurate ChatGPT and Perplexity tracking; Profound, Dageno AI, and Analyze AI for sentiment and hallucination detection; RankScale for broader engine coverage including Claude and Grok; and Omnia, Otterly AI, or Peec for standalone AI monitoring at $100–$300/month without a base subscription (anthropic).

DeepSeek and Kimi both pointed to one-off audit providers for buyers who want a defined deliverable rather than a subscription: Monitor AEO at $79 for a five-engine full audit, Presenc AI for a six-factor scorecard with technical RAG audit, TriRank at $399 with a refund guarantee if no actionable findings emerge, Citelayer at $151 for a rapid diagnostic, and VisibAI at €29 for a one-off Starter audit [87].

Grok suggested dedicated daily trackers without SEO suite overhead for teams that do not need Ahrefs' broader data (grok). Perplexity recommended a specialized AI visibility audit vendor when the buyer needs a purpose-built audit workflow or clearer citation-network analysis (perplexity).

None of these alternatives were evaluated in this study beyond the platform-reported comparisons above, and their claims are company-owned unless otherwise noted.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Ahrefs before signing a contract for AI visibility auditing?
  • Does Ahrefs acknowledge the ChatGPT and Perplexity accuracy gap, and what is the remediation timeline?
  • Is Ahrefs Brand Radar sold standalone or does it require a base Ahrefs subscription?

The supplied research produced a consistent verification list across platforms. Buyers should confirm:

  1. Whether Brand Radar is sold standalone in their region or requires a base Ahrefs subscription, given the direct conflict between the $50/month FAQ claim and the add-on framing [97].
  2. Whether Ahrefs acknowledges the documented ChatGPT and Perplexity undercounting and what methodology changes are planned (anthropic).
  3. Which exact AI platforms, countries, languages, and refresh frequencies are included in the quoted plan (openai, perplexity).
  4. How many custom-prompt checks are included, how multi-platform and multi-location checks are counted, and whether overage billing can be disabled [99].
  5. Whether the $699/month All Platforms price applies to the buyer's specific account and geography, and whether billing is month-to-month [100].
  6. Which citation fields, source domains, cited-page histories, and exports are available in the interface versus the API [101].
  7. Whether Claude, Grok, or Meta AI coverage is on the roadmap and on what timeline (anthropic).
  8. Whether the YouTube/TikTok add-on has exited beta and whether the reported $199/month price is final [102].
  9. Whether the 90-day rolling reporting window and monthly refresh cadence meet the team's monitoring needs [104].
  10. Whether "estimated impressions" can support ROI or board reporting, or is explicitly directional [106].

Final AI Consensus Verdict

Ahrefs is a qualified but genuinely contested fit for AI Visibility Audit Services. Two of seven platforms named it during ranking, with an average listed rank of 3.0 and a best rank of 1. Fit ratings split across the full range: strong (OpenAI), good (Google, Perplexity), mixed (Anthropic, Grok), weak (DeepSeek), and uncertain (Kimi).

The case for Ahrefs rests on integration and scale: a large search-backed prompt index, competitor Share of Voice benchmarking, prompt-level gap analysis, citation-source reporting, and a single dashboard combining SEO and AI visibility data [107]. The case against rests on accuracy and scope: independent testing documented roughly 97% undercounting on ChatGPT and Perplexity, no Claude, Grok, or Meta AI coverage, no sentiment or hallucination scoring, no execution layer, and unresolved pricing and packaging conflicts [110].

For a marketing team already inside the Ahrefs ecosystem that wants directional competitive benchmarking and Google AI Overviews monitoring, Brand Radar is a rational starting point. For a team whose audit depends on precise ChatGPT or Perplexity mention counts, or that needs a defined one-time deliverable, the platform-reported evidence points toward specialist alternatives. Buyers should verify current index coverage, check limits, contract terms, and the ChatGPT accuracy question directly with Ahrefs before committing.

This review is part of the broader AI Visibility Audit Services consensus index, which compares how multiple platforms rated each provider for this use case.

How This Review Was Produced

This review was produced from platform-reported research collected on 2026-09-18 across seven AI platforms: OpenAI (gpt-5.6-luna), Anthropic (claude-haiku-4-5-20251001), Google (gemini-3.5-flash), Grok (x-ai/grok-4.3), Perplexity (perplexity/sonar), DeepSeek (deepseek-v4-flash), and Kimi (moonshotai/kimi-k2.6). Each platform independently evaluated Ahrefs against the AI Visibility Audit Services use case and supplied citations for its claims.

Ahrefs was included because it met the study's minimum-mentions threshold of two platforms naming it during ranking discovery. All seven platforms evaluated fit, but only two named the entity during ranking, so the platform share figure reflects ranking-stage mentions rather than evaluation coverage.

All citations are platform-reported evidence and were not independently verified by the writer stage. Company-owned sources materially outnumber independent sources in the supplied catalog. Where platforms disagreed, both positions are preserved rather than resolved. No personal testing, customer interviews, or independent verification was performed.

Methodology Limitations

Several limitations apply to this review and should be weighed before acting on it.

Ranking-stage coverage is thin. Only two of seven platforms named Ahrefs during ranking discovery. The fit evidence comes from platforms that evaluated Ahrefs after it was surfaced, which may bias the assessment toward platforms with existing familiarity with the product.

Official-site retrieval failed. The deterministic audit records that the Ahrefs homepage returned an unavailable status with the failure reason "HTML exceeded 1000000 bytes" [114]. No official-page excerpts were captured, so no claim in this review is verified against Ahrefs' own current site.

Company-owned sources dominate. The supplied catalog contains 29 owned sources, 20 independent sources, and 1 unclear source. Company claims should not be read as independently verified.

Pricing conflicts are unresolved. Reported total costs range from $50/month standalone to $1,148/month for full coverage. The supplied research does not reconcile these figures, and buyers should treat all pricing as requiring direct confirmation.

Accuracy findings are contested. Independent testing documented roughly 97% undercounting on ChatGPT and Perplexity, while Ahrefs' own methodology describes millions of monthly queries per platform. The supplied research does not resolve which account is correct.

Product naming is inconsistent. "Brand Radar," "Brand Radar AI," and "AI search visibility features" all appear across sources, and the standalone-versus-add-on question remains open.

Prompt index totals vary. Reported figures include approximately 405M, 455M, 456M, 459M, and 475M prompts across official pages and independent reviews, with no explanation for the variance.

No independent validation of modeled metrics. Ahrefs' platform-usage ratios, visibility scores, and customer outcomes were not independently validated in the sources reviewed.

Platform-reported dates are provenance metadata. All platforms reported a research date of 2026-09-18, but platform-reported dates do not independently prove freshness.

For a broader view of how providers compare across this category, see the ai search audits market intelligence directory.

Sources

Company-Owned Sources

Independent Sources

  • Ahrefs Pricing 2026: Costs, Add-Ons & Competitors: https://checkthat.ai/brands/ahrefs/pricing
  • Ahrefs Brand Radar Review (2026): Pricing Breakdown, Competitor Comparisons, and Features Review: 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
  • Ahrefs Brand Radar Review 2026: Does It Meet Expectations?: https://dageno.ai/blog/ahrefs-brand-radar-review-2026
  • Ahrefs Brand Radar pricing (2026): plans, entry cost, alternatives: https://geotoolstack.com/pricing/ahrefs-brand-radar/
  • Best AI Mode Rank Trackers for 2026: https://metehan.ai/articles/best-ai-mode-rank-tracker/
  • Ahrefs Brand Radar Review 2026: Is It Worth $828/Month?: https://nboundmarketing.com/research/ai-visibility/ahrefs-brand-radar/
  • Ahrefs Pricing 2026: Real Cost of Every Plan and Trial Rules: https://searchatlas.com/blog/ahrefs-review/
  • 9 Ahrefs Alternatives for AI Visibility Tracking (2026: https://siftly.ai/blog/ahrefs-alternatives
  • Ahrefs Pricing 2026: Plans Start at $29/Month: https://thatmarketingbuddy.com/pricing/ahrefs
  • Ahrefs Brand Radar Review: Does It Meet Expectations?: https://writesonic.com/blog/ahrefs-brand-radar-review
  • Ahrefs Brand Radar: Complete Review and Use Cases: https://www.amicited.com/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 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): worth it for client AI visibility?: https://www.rankability.com/blog/ahrefs-brand-radar-review/
  • Ahrefs Brand Radar Review 2026: Is It Worth $828?: https://www.tryanalyze.ai/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
  • Ahrefs Pricing | UsagePricing: https://www.usagepricing.com/blueprint/ahrefs
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    3. AI research evidence record anthropic:28-1
    4. AI research evidence record anthropic:29-2
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    6. AI research evidence record openai:c4
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    8. AI research evidence record perplexity:c3
    9. AI research evidence record openai:c1
    10. AI research evidence record anthropic:10-17
    11. AI research evidence record grok:15
    12. AI research evidence record google:1.2.1
    13. AI research evidence record perplexity:c5
    14. AI research evidence record perplexity:c6
    15. AI research evidence record deepseek:c1
    16. AI research evidence record kimi:ranking_unverified
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:32-5
    19. AI research evidence record google:1.1.1
    20. AI research evidence record deepseek:c1
    21. AI research evidence record anthropic:25-3
    22. AI research evidence record anthropic:35-9
    23. AI research evidence record google:1.1.5
    24. AI research evidence record anthropic:4-10
    25. AI research evidence record perplexity:c1
    26. AI research evidence record anthropic:4-8
    27. AI research evidence record anthropic:9-2
    28. AI research evidence record perplexity:c4
    29. AI research evidence record google:1.1.7
    30. AI research evidence record openai:c6
    31. AI research evidence record anthropic:4-1
    32. AI research evidence record grok:4
    33. AI research evidence record google:1.3.1
    34. AI research evidence record anthropic:28-1
    35. AI research evidence record anthropic:29-2
    36. AI research evidence record anthropic:34-1
    37. AI research evidence record anthropic:33-1
    38. AI research evidence record anthropic:33-2
    39. AI research evidence record anthropic:36-3
    40. AI research evidence record anthropic:18-5
    41. AI research evidence record anthropic:34-11
    42. AI research evidence record anthropic:20-8
    43. AI research evidence record anthropic:26-16
    44. AI research evidence record anthropic:32-1
    45. AI research evidence record google:1.1.8
    46. AI research evidence record openai:c2
    47. AI research evidence record deepseek:c1
    48. AI research evidence record deepseek:c2
    49. AI research evidence record deepseek:c4
    50. AI research evidence record anthropic:28-16
    51. AI research evidence record anthropic:28-17
    52. AI research evidence record google:1.1.1
    53. AI research evidence record kimi:ranking_unverified
    54. AI research evidence record google:1.1.8
    55. AI research evidence record anthropic:28-16
    56. AI research evidence record google:1.1.1
    57. AI research evidence record google:1.2.3
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:10-17
    60. AI research evidence record grok:15
    61. AI research evidence record perplexity:c2
    62. AI research evidence record google:1.2.1
    63. AI research evidence record anthropic:13-8
    64. AI research evidence record anthropic:14-1
    65. AI research evidence record anthropic:15-1
    66. AI research evidence record anthropic:32-8
    67. AI research evidence record anthropic:18-1
    68. AI research evidence record perplexity:c5
    69. AI research evidence record perplexity:c6
    70. AI research evidence record anthropic:2-6
    71. AI research evidence record anthropic:2-8
    72. AI research evidence record anthropic:6-4
    73. AI research evidence record google:1.1.1
    74. AI research evidence record anthropic:28-1
    75. AI research evidence record anthropic:29-2
    76. AI research evidence record anthropic:34-1
    77. AI research evidence record anthropic:28-16
    78. AI research evidence record google:1.1.1
    79. AI research evidence record anthropic:26-16
    80. AI research evidence record anthropic:32-1
    81. AI research evidence record google:1.1.8
    82. AI research evidence record deepseek:c1
    83. AI research evidence record deepseek:c3
    84. AI research evidence record deepseek:c5
    85. AI research evidence record deepseek:c6
    86. AI research evidence record deepseek:c7
    87. AI research evidence record deepseek:c2
    88. AI research evidence record deepseek:c3
    89. AI research evidence record deepseek:c5
    90. AI research evidence record deepseek:c6
    91. AI research evidence record deepseek:c7
    92. AI research evidence record kimi:presenc_ai
    93. AI research evidence record kimi:monitoraeo
    94. AI research evidence record kimi:trirank
    95. AI research evidence record kimi:citelayer
    96. AI research evidence record kimi:visibai
    97. AI research evidence record perplexity:c5
    98. AI research evidence record perplexity:c6
    99. AI research evidence record google:1.2.1
    100. AI research evidence record grok:15
    101. AI research evidence record openai:c6
    102. AI research evidence record anthropic:2-6
    103. AI research evidence record anthropic:2-8
    104. AI research evidence record anthropic:35-2
    105. AI research evidence record perplexity:c7
    106. AI research evidence record openai:c9
    107. AI research evidence record openai:c3
    108. AI research evidence record anthropic:4-8
    109. AI research evidence record google:1.1.7
    110. AI research evidence record anthropic:28-1
    111. AI research evidence record anthropic:29-2
    112. AI research evidence record anthropic:26-16
    113. AI research evidence record perplexity:c5
    114. AI research evidence record kimi:ranking_unverified

Other Sources

  • Additional AI research evidence114 records
    1. AI research evidence record openai:c3
    2. AI research evidence record openai:c4
    3. AI research evidence record anthropic:28-1
    4. AI research evidence record anthropic:29-2
    5. AI research evidence record kimi:ranking_unverified
    6. AI research evidence record openai:c4
    7. AI research evidence record anthropic:25-3
    8. AI research evidence record perplexity:c3
    9. AI research evidence record openai:c1
    10. AI research evidence record anthropic:10-17
    11. AI research evidence record grok:15
    12. AI research evidence record google:1.2.1
    13. AI research evidence record perplexity:c5
    14. AI research evidence record perplexity:c6
    15. AI research evidence record deepseek:c1
    16. AI research evidence record kimi:ranking_unverified
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:32-5
    19. AI research evidence record google:1.1.1
    20. AI research evidence record deepseek:c1
    21. AI research evidence record anthropic:25-3
    22. AI research evidence record anthropic:35-9
    23. AI research evidence record google:1.1.5
    24. AI research evidence record anthropic:4-10
    25. AI research evidence record perplexity:c1
    26. AI research evidence record anthropic:4-8
    27. AI research evidence record anthropic:9-2
    28. AI research evidence record perplexity:c4
    29. AI research evidence record google:1.1.7
    30. AI research evidence record openai:c6
    31. AI research evidence record anthropic:4-1
    32. AI research evidence record grok:4
    33. AI research evidence record google:1.3.1
    34. AI research evidence record anthropic:28-1
    35. AI research evidence record anthropic:29-2
    36. AI research evidence record anthropic:34-1
    37. AI research evidence record anthropic:33-1
    38. AI research evidence record anthropic:33-2
    39. AI research evidence record anthropic:36-3
    40. AI research evidence record anthropic:18-5
    41. AI research evidence record anthropic:34-11
    42. AI research evidence record anthropic:20-8
    43. AI research evidence record anthropic:26-16
    44. AI research evidence record anthropic:32-1
    45. AI research evidence record google:1.1.8
    46. AI research evidence record openai:c2
    47. AI research evidence record deepseek:c1
    48. AI research evidence record deepseek:c2
    49. AI research evidence record deepseek:c4
    50. AI research evidence record anthropic:28-16
    51. AI research evidence record anthropic:28-17
    52. AI research evidence record google:1.1.1
    53. AI research evidence record kimi:ranking_unverified
    54. AI research evidence record google:1.1.8
    55. AI research evidence record anthropic:28-16
    56. AI research evidence record google:1.1.1
    57. AI research evidence record google:1.2.3
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:10-17
    60. AI research evidence record grok:15
    61. AI research evidence record perplexity:c2
    62. AI research evidence record google:1.2.1
    63. AI research evidence record anthropic:13-8
    64. AI research evidence record anthropic:14-1
    65. AI research evidence record anthropic:15-1
    66. AI research evidence record anthropic:32-8
    67. AI research evidence record anthropic:18-1
    68. AI research evidence record perplexity:c5
    69. AI research evidence record perplexity:c6
    70. AI research evidence record anthropic:2-6
    71. AI research evidence record anthropic:2-8
    72. AI research evidence record anthropic:6-4
    73. AI research evidence record google:1.1.1
    74. AI research evidence record anthropic:28-1
    75. AI research evidence record anthropic:29-2
    76. AI research evidence record anthropic:34-1
    77. AI research evidence record anthropic:28-16
    78. AI research evidence record google:1.1.1
    79. AI research evidence record anthropic:26-16
    80. AI research evidence record anthropic:32-1
    81. AI research evidence record google:1.1.8
    82. AI research evidence record deepseek:c1
    83. AI research evidence record deepseek:c3
    84. AI research evidence record deepseek:c5
    85. AI research evidence record deepseek:c6
    86. AI research evidence record deepseek:c7
    87. AI research evidence record deepseek:c2
    88. AI research evidence record deepseek:c3
    89. AI research evidence record deepseek:c5
    90. AI research evidence record deepseek:c6
    91. AI research evidence record deepseek:c7
    92. AI research evidence record kimi:presenc_ai
    93. AI research evidence record kimi:monitoraeo
    94. AI research evidence record kimi:trirank
    95. AI research evidence record kimi:citelayer
    96. AI research evidence record kimi:visibai
    97. AI research evidence record perplexity:c5
    98. AI research evidence record perplexity:c6
    99. AI research evidence record google:1.2.1
    100. AI research evidence record grok:15
    101. AI research evidence record openai:c6
    102. AI research evidence record anthropic:2-6
    103. AI research evidence record anthropic:2-8
    104. AI research evidence record anthropic:35-2
    105. AI research evidence record perplexity:c7
    106. AI research evidence record openai:c9
    107. AI research evidence record openai:c3
    108. AI research evidence record anthropic:4-8
    109. AI research evidence record google:1.1.7
    110. AI research evidence record anthropic:28-1
    111. AI research evidence record anthropic:29-2
    112. AI research evidence record anthropic:26-16
    113. AI research evidence record perplexity:c5
    114. AI research evidence record kimi:ranking_unverified

Verify this research

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

Study date
September 18, 2026
Platforms analyzed
7
Source records
50
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#6

Research trail and source mix

Configured platforms

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

Source mix

20 independent · 29 company-owned · 1 unclear

Evidence support

46 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.

Source snapshot SHA-256 56c4c1719d7a9e28cba73deeda1ca10f238991c471c53aa54ee4332ebac0763a