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AI Consensus Fit Review

Ahrefs AI Search Audit Service Fit Review for CMOs

Ahrefs is a qualified but incomplete fit for AI Search Audit Services for CMOs.

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

Answer Capsule

Ahrefs is a qualified but incomplete fit for AI Search Audit Services for CMOs. Two of the seven included platforms named Ahrefs during ranking discovery, and its fit ratings split four "good" to two "mixed" across the platforms that assessed it. The strongest reason to consider it is Brand Radar's combination of a large search-backed prompt index, AI Share of Voice benchmarking, and cited-domain reporting inside an established SEO platform [1]. The main limitation is that Ahrefs supplies measurement and discovery data, not a managed, board-ready audit deliverable with a prioritized improvement roadmap; buyers must interpret findings and build the action plan themselves [4].

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7 included platforms (deepseek, openai)
Share of included platform responses28.6%
Average listed rank5.5
Best listed rank3 (openai)
Relevant product/model/planAhrefs Brand Radar (AI Visibility Index and Custom Prompts) with Site Explorer
Overall use-case fitGood for measurement and benchmarking; mixed as a stand-alone audit service
Research date2026-09-18

Why Ahrefs Qualified for This Study

Questions This Section Answers

  • Why did Ahrefs qualify for a CMO-focused AI search audit study when only two platforms named it?
  • Is Ahrefs a credible AI search audit provider for CMOs, or just an SEO tool with an AI add-on?

Ahrefs qualified because it met the study's minimum-mention threshold and because the platforms that evaluated it mapped its capabilities directly onto the audit criteria: recommendation analysis, mention and citation measurement, competitor benchmarking, influential source-domain analysis, content and authority gaps, and a prioritized improvement roadmap [7].

Two of the seven included platforms named Ahrefs during ranking discovery — deepseek at rank 8 and openai at rank 3 — producing an average listed rank of 5.5 and a 28.6% platform share. The remaining five platforms evaluated Ahrefs' fit without naming it in their ranked lists, so the fit ratings below draw on seven platform assessments while the ranking statistics draw on two.

The qualification notes matter here. Official-site retrieval failed for one or more mentions during normalization, and identity used an exact-name fallback rather than a verified domain key. The reviewed Ahrefs URLs are consistent with the named company, but buyers should verify Ahrefs' identity and domain directly before procurement. Deepseek's research was also dated 2026-01-15, eight months before the 2026-09-18 run date, so its pricing and coverage statements are the oldest in this review.

The Product, Model, Plan, or Service Most Relevant to AI Search Audit Services for CMOs

Questions This Section Answers

  • Which Ahrefs product should a CMO buy for AI search audit work, and does it require a separate base subscription?
  • Is Ahrefs Brand Radar a stand-alone AI search audit service or an add-on to an existing Ahrefs plan?

The relevant offering is Ahrefs Brand Radar, specifically the AI Visibility Index combined with Custom Prompts and Site Explorer integration [10]. Every platform that assessed Ahrefs converged on this product; none proposed a different Ahrefs SKU for CMO-level audit work.

Brand Radar is positioned as an AI visibility and discovery tool rather than a consulting engagement [13]. It has two measurement modes. The AI Visibility Index searches pre-collected AI responses across a large prompt database with no setup required [11]. Custom Prompts let buyers monitor exact commercial or category questions across supported assistants [10].

Site Explorer supplies the SEO-side context — backlinks, referring domains, competitor analysis — that CMOs would use for authority-gap work [16]. Ahrefs has also added AI citation data inside Site Explorer's Top pages report, sortable, exportable, and available via API [17].

The packaging question is genuinely unresolved in the evidence. Public sources conflict on whether Brand Radar requires an underlying Ahrefs base plan in all cases [18]. Independent reviews describe a base subscription starting at $129/month for Lite as a prerequisite [20], and one review calculates full AI coverage at roughly $828/month combining the all-index bundle with the cheapest qualifying base plan [21]. Ahrefs' own pricing page presents Brand Radar and Custom Prompts as separate products [22]. Buyers should confirm the exact configuration at checkout rather than assuming either model.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Ahrefs Brand Radar does well for CMO-level AI search audits?
  • Does Ahrefs Brand Radar measure both AI mentions and citations for competitor benchmarking?

Platforms broadly agreed on four capabilities.

Measurement breadth. Brand Radar tracks brand mentions and citations across AI platforms and reports AI Share of Voice and estimated impressions [23]. Ahrefs' FAQ lists ChatGPT, Perplexity, Gemini, Copilot, Grok, Claude, and Google AI Overviews as monitored surfaces [26]. The AI Visibility Index covers six indexed surfaces: Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Copilot [27].

Competitor benchmarking. Brand Radar compares AI Share of Voice against competitors on one dashboard, with trend graphs tracking gains and losses over time [23]. Ahrefs documents an "AI mention gap" workflow — responses where competitors appear but the brand does not — and a citation-gap equivalent [30].

Cited-domain and source analysis. Brand Radar identifies top cited pages and domains, which supports analysis of which third-party sources influence AI answers [33]. Ahrefs markets this as finding the most-cited pages in a niche and learning how to get mentioned in them [36].

Scale of the prompt database. Ahrefs markets a database of 400+ million search-backed prompts derived from real search demand rather than synthetic guesses [37]. Independent reviewers treat scale as Brand Radar's single biggest advantage [38].

Platforms also agreed on the integration value: AI citation data sits alongside traditional SEO metrics, which agencies report as "fairly accurate" for Search Demand and Web Visibility modules [40].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How accurate is Ahrefs Brand Radar's AI mention data compared with dedicated AI visibility tools?
  • Does Ahrefs Brand Radar track Claude, and is its coverage Google-biased?

Accuracy. This is the sharpest conflict. Independent testing reported Brand Radar showing three ChatGPT mentions globally against an actual count of 123 — a 97.5% discrepancy [43]. Ahrefs discloses that impressions and share of voice are modeled or comparative metrics, not direct measures of unique users, traffic, conversions, or causal impact [45]. No comprehensive accuracy benchmarking across all platforms and brands has been published. Buyers should treat accuracy as unverified rather than settled in either direction.

Methodology. One independent review argues Brand Radar uses a keyword-first methodology derived from keyword data and People Also Ask fan-out rather than prompt-level tracking, creating a mismatch with how AI platforms generate responses [48]. Ahrefs' own methodology page describes behavioral relevance, a People Also Ask corpus, monthly updates, and a 90-day reporting window [49].

Platform coverage. Ahrefs' FAQ lists Claude among monitored platforms [51], while earlier mid-2026 sources state no native Claude tracking [52]. Rollout status and coverage depth are unclear. Coverage is also uneven by surface: Ahrefs methodology cites 143 million monthly prompts for AI Overviews versus 13.3 million each for ChatGPT and Perplexity [53], and one reviewer describes the tool as Google-biased with weaker accuracy outside Google's ecosystem [54].

Database size. Sources cite 150M, 190M, 199M, 239M, 376M, 400M, and 456M prompts. Ahrefs' public pages show different indexed-prompt totals including approximately 459 million and 475 million [55]. The count appears to change as coverage updates.

Pricing. Ahrefs publishes two different entry prices for Brand Radar depending on which page a buyer lands on [56]. The pricing page shows $199/month [57]; the product page shows $199/month with an all-platforms tier at $699/month [58]. Independent reviews put realistic all-in cost at $828–$1,148/month [59].

YouTube and TikTok add-ons. Sources conflict on whether video visibility tracking is beta (free) or production ($199/month) [61].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Ahrefs Brand Radar cover all six audit criteria a CMO needs, including a prioritized improvement roadmap?
  • Can Ahrefs Brand Radar identify which source domains influence AI answers for competitive intelligence?
Audit criterionAssessmentEvidence
Recommendation analysisAdvantageBrand Radar measures how often brands appear in AI answers and calculates AI Share of Voice and estimated impressions
Mention and citation measurementAdvantageReports brand mentions in answer text, citations to pages or domains, cited pages, and cited domains
Competitor benchmarkingAdvantageBenchmarks AI Share of Voice against competitors with trend graphs
Influential source-domain analysisAdvantageIdentifies top cited pages and domains; no complete causal attribution model is established
Content and authority gapsNeutralSurfaces prompts, topics, cited pages, and opportunities; converting these into validated priorities requires additional analysis
Prioritized improvement roadmapLimitationNo verified managed, CMO-specific prioritization roadmap, executive advisory service, or implementation program

Two operational details matter for CMO workflows. Custom Prompts can be checked monthly, weekly, or daily and additionally support Claude, while indexed prompt data refreshes monthly [63]. Brand Radar API access exists, including AI-response endpoints; API usage for Ahrefs prompt data follows standard API-unit pricing, while custom-prompt-only response requests are described as free [65].

The roadmap gap is the recurring limitation. One platform states plainly that Ahrefs provides discovery and monitoring data but the reviewed evidence does not verify a fully managed, CMO-specific prioritization roadmap, executive advisory service, or implementation program [67]. Another notes Ahrefs offers prioritized task lists for SEO fixes, but the depth of AI-specific prioritized roadmaps is not confirmed [68]. A third describes the product as surfacing statistics without an automated action plan, content generation, or guided direction on rewriting pages [69].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Ahrefs Brand Radar cost per month for a CMO, and what is the realistic all-in total?
  • Are there overage fees or annual commitments on Ahrefs Brand Radar and Custom Prompts?

Pricing is publicly shown but internally inconsistent, and the advertised entry price is not the realistic cost.

ItemPublished priceSource
Brand Radar single-platform index$199/month
Brand Radar all-platform bundle$699/month, including 2,500 Custom Prompt checks
Custom Prompt Basic$50/month for 2,500 checks; $0.020 per overage check
Custom Prompt Growth$100/month for 7,000 checks; $0.015 per overage check
Custom Prompt Scale$250/month for 25,000 checks; $0.010 per overage check
Base Ahrefs subscriptionLite $129/month; Standard $249; Advanced $449; Enterprise $1,499
Realistic all-in cost$828/month minimum to $1,148/month+

Paid Ahrefs plans may include smaller Custom Prompt allowances, reported as 150 checks for Lite, 300 for Standard, and 600 for Advanced, but the packaging should be confirmed at purchase [71].

Contract terms are partially described. Ahrefs states in its 2026 pricing guidance that Brand Radar is generally purchased monthly, with annual purchasing options for Enterprise users [71]. Month-to-month billing is available on all tiers with annual discounts up to 17% [74]. The reviewed sources do not establish a universal cancellation notice period, refund policy, or exact treatment of unused checks [71].

Additional fees to expect: overage charges after included Custom Prompt checks are consumed; API units for requests containing indexed prompt data; additional user seats at $40–$80/month by tier; and possible add-on charges for YouTube and TikTok visibility [71]. Enterprise pricing and higher limits require a sales quotation [71].

Pricing confidence is moderate. Two live Ahrefs pages showed different entry prices in August 2026 [76], and deepseek's pricing research was dated 2026-01-15 with low confidence [77].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Ahrefs Brand Radar for CMO-level AI search visibility work?
  • Is Ahrefs Brand Radar worth it for a CMO who already pays for an Ahrefs SEO subscription?

Ahrefs fits CMOs who need measurement and benchmarking rather than a delivered audit. The strongest fits, supported across platforms:

  • CMOs benchmarking brand and competitor visibility across major AI search surfaces [78].
  • Marketing teams measuring AI mentions, citations, estimated impressions, and AI share of voice [80].
  • Organizations needing both broad market discovery through the AI Visibility Index and focused monitoring of priority buyer questions through Custom Prompts [78].
  • Teams already using Ahrefs Site Explorer, Content Explorer, Site Audit, or reporting and API capabilities [78].
  • Enterprise teams with $1,000+/month AI research budgets able to absorb accuracy margins and supplement with other tools [84].
  • Market-level research programs prioritizing prompt-database scale over single-brand precision [86].

The common thread is existing Ahrefs investment. One platform states the value case directly: buyers already invested in Ahrefs' SEO platform will find strong incremental value [88]. Another notes Brand Radar eliminates tool switching for CMOs already on Ahrefs [83].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Ahrefs Brand Radar for AI search audit work?
  • Is Ahrefs Brand Radar a poor fit for CMOs who need real-time monitoring or managed consulting?

Several buyer profiles are poor fits, and platforms were unusually consistent here.

Buyers seeking a managed consulting engagement. Ahrefs is primarily a software and data product, not a verified managed AI-search audit consultancy [89]. Buyers wanting executive interpretation, stakeholder interviews, prioritized actions, content production, digital PR, or implementation should choose a managed consultancy [89].

Lean budgets. Mid-market CMOs or agencies operating under $500/month should look elsewhere; dedicated platforms offer lower entry cost without a base SEO subscription requirement [91].

Real-time monitoring needs. Brand Radar updates monthly on a 90-day window, which is insufficient for incident response or rapid competitive reaction [93].

Non-Google platform priorities. Brands prioritizing ChatGPT, Perplexity, or other conversational platforms as the primary strategic focus face Google-biased coverage and documented accuracy gaps on those engines [95].

Niche or low-search-demand businesses. The indexed prompt universe is modeled from search demand and may underrepresent low-volume or highly specialized markets [97].

Buyers needing private or authenticated AI environments. Coverage does not extend to private, logged-in, highly personalized, or unsupported AI environments [89].

Buyers needing causal attribution. Share of voice and impressions are modeled metrics that cannot be presented as proof of audience size or campaign impact [99].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Ahrefs Brand Radar for a CMO who needs a managed, board-ready AI search audit?
  • When should a CMO choose a dedicated AI visibility platform instead of Ahrefs Brand Radar?

Platforms named specific alternatives and the conditions that favor them.

Managed, board-ready audits. Choose a managed AI-search consultancy when the CMO needs executive synthesis, stakeholder interviews, prioritized actions, and ongoing accountability [102]. Named options include Presenc AI, which offers a six-factor framework with competitor benchmarking and an executive summary [103], and Am I Visible?/pro, which provides 150 prompts across five engines, five competitors benchmarked, and analyst-checked strategic synthesis for $4,997 [104].

Lower-cost dedicated tools. Peec AI ($95/month), Profound ($99/month), and Otterly.AI ($29/month) offer lower entry cost without a base SEO subscription [105]. One platform recommends Peec AI, Gander, or RadarKit for buyers wanting a specialized standalone AI-tracking tool [106].

Prompt-first tracking with response evidence. Buyers needing audit-trail evidence of how a brand appears in specific AI responses should use prompt-first trackers rather than keyword-derived models [107]. RankBee provides technical RAG audits with crawlability phases and a content scorecard [108]; TriRank offers a $399 one-time audit with competitor citation screenshots and a 30-day action plan [109].

Real-time monitoring and incident response. Dedicated monitoring tools offer hourly or real-time alerts where Ahrefs' monthly snapshots are insufficient [110].

Proving AI-attributed pipeline. Choose a platform with stronger first-party analytics or experimentation when the primary requirement is proving AI-attributed pipeline, conversions, or revenue rather than measuring visibility and citations [102].

Technical RAG and crawler audits. Buyers needing bot-specific crawler testing for GPTBot, PerplexityBot, ClaudeBot, and Google-Extended should consider RankBee or Presenc AI [111].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a CMO confirm with Ahrefs before signing a Brand Radar contract?
  • Which AI platforms, countries, and report fields are included in the proposed Ahrefs measurement scope?

Platforms converged on a verification checklist. The recurring themes:

Scope. Which AI platforms, countries, languages, locations, and device contexts are included in the proposed US measurement scope [112]? Which engines are included today, and are YouTube, TikTok, Reddit, or other surfaces in scope [113]?

Cost. What is the exact total monthly cost for the planned setup — base plan tier, Brand Radar tier, seats, and add-ons [115]? The advertised $199/month entry is not the realistic cost [117].

Reporting. What exact report fields are exportable for board reporting: mentions, citations, cited URLs, cited domains, Share of Voice, estimated impressions, trends, and competitor comparisons [112]? Does a board-ready executive report format exist, or must the CMO team synthesize findings internally [118]?

Accuracy and methodology. How is citation accuracy validated, and can the buyer inspect the underlying AI response and source URL for every reported citation [112]? How does Ahrefs calculate AI Share of Voice and impressions, and what is the documented margin of error [119]?

Coverage gaps. Does Brand Radar support Claude as of the checkout date, and at what accuracy and freshness level compared with ChatGPT and Google AI Overviews [120]? Are YouTube and TikTok add-ons currently beta or production, and will pricing remain stable [122]?

Contract. What is the current cancellation, renewal, refund, and annual-commitment policy [124]? What is the minimum contract term for Brand Radar, and can it be cancelled without losing an annual pre-pay [118]?

Advisory layer. What roadmap or advisory support, if any, is included beyond the software and data [112]?

Final AI Consensus Verdict

Ahrefs is a good fit for a CMO-led AI search visibility and competitive-intelligence measurement program, especially when paired with Site Explorer and Custom Prompts. It is not a complete stand-alone AI search audit service for buyers who expect managed strategy, board narrative, prioritized recommendations, and implementation [126].

The consensus splits cleanly. Four platforms rated Ahrefs "good" for this use case (openai, deepseek, grok, google, perplexity — five, in fact, with perplexity also landing on good), while two rated it "mixed" (anthropic, kimi). The mixed ratings trace to the same two issues: documented accuracy gaps on non-Google platforms and the absence of a delivered roadmap.

Buy Ahrefs for robust measurement and discovery. Add expert analysis or a managed consultancy for the roadmap and execution layer [126]. CMOs already invested in Ahrefs' SEO platform will find the strongest incremental value; CMOs seeking a turnkey, analyst-led audit should evaluate managed alternatives first [127].

How This Review Was Produced

This review synthesizes fit assessments from seven AI platforms — openai, anthropic, deepseek, grok, perplexity, google, and kimi — each asked to evaluate which AI search audit providers they would recommend for CMOs and why. Two platforms named Ahrefs during ranking discovery; all seven evaluated its fit against the study criteria.

Platform responses were collected on 2026-09-18, except deepseek, whose research was dated 2026-01-15. All platform outputs carry a verification status of platform-reported, not independently verified. Citations are platform-reported evidence, not independently verified facts.

The consensus index for this category is AI Search Audit Services for CMOs.

This article sits within the broader ai search audits market intelligence directory.

Methodology Limitations

Several limitations apply to this review.

Source ownership skew. The reviewed evidence is primarily Ahrefs-owned documentation and marketing material. Independent validation of measurement accuracy, customer outcomes, and board-level decision quality was not established [129]. Twenty-two of 48 deduplicated sources are company-owned.

Identity verification. Official-site retrieval failed for one or more mentions, and identity used an exact-name fallback. Ahrefs' identity and domain should be verified directly before procurement, although the reviewed Ahrefs URLs are consistent with the named company.

Date discrepancies. Deepseek's research was dated 2026-01-15, eight months before the 2026-09-18 run date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Unresolved conflicts. Pricing, database size, Claude tracking status, and YouTube/TikTok add-on status all conflict across sources. This review describes the conflicts rather than resolving them.

No independent verification. The supplied URLs were collected from platform responses and were not independently validated. No personal testing, customer experience, or guaranteed performance is claimed.

Missing pricing. Enterprise pricing, exact cancellation terms, refund policies, and treatment of unused checks are not established in the reviewed sources.

No verified managed service. The sources do not verify a formal managed audit service, consulting SLA, certification, guaranteed business outcome, or dedicated CMO advisory deliverable [129].

Sources

Company-Owned Sources

  • Ahrefs Brand Radar - AI Search Visibility: https://ahrefs.com/
  • Free AI Visibility Checker by Ahrefs: Track Your Brand in AI search: https://ahrefs.com/ai-visibility-checker
  • The conference for marketers ready to win in 2026 - Ahrefs Brand Radar: https://ahrefs.com/blog/ahrefs-brand-radar
  • Ahrefs' Paid Subscription: https://ahrefs.com/blog/ahrefs-pricing/
  • AI Search Strategy: 4 Pillars to Show Up More (and Right) in AI Answers - Ahrefs: https://ahrefs.com/blog/ai-search-strategy/
  • AI Visibility Audit: How to Measure Your Brand's Presence in AI Search - Ahrefs: https://ahrefs.com/blog/ai-visibility-audit/
  • 15 of the Best AI Visibility Tools - Ahrefs: https://ahrefs.com/blog/ai-visibility-tools/
  • The Complete AI Visibility Guide for SEOs, Marketers, and Site Owners: https://ahrefs.com/blog/ai-visibility/
  • The conference for marketers ready to win in 2026 - Brand Mentions: https://ahrefs.com/blog/brand-mentions
  • The conference for marketers ready to win in 2026 - Brand Radar Methodology: https://ahrefs.com/blog/brand-radar-methodology/
  • 16 Things Only Ahrefs Can Do (AI edition: https://ahrefs.com/blog/unique-ahrefs-features-ai-edition/
  • Ahrefs Brand Radar: Turn AI Into Your Newest Sales Channel: https://ahrefs.com/blog/wp-json/wp/v2/posts/192572
  • Ahrefs Brand Radar: See ANY brand’s AI visibility: https://ahrefs.com/brand-radar
  • Ahrefs FAQ | Frequently asked questions: https://ahrefs.com/faq
  • Plans & Pricing - Ahrefs: https://ahrefs.com/pricing
  • Ahrefs Site Explorer: https://ahrefs.com/site-explorer
  • AI Marketing Platform for AEO Specialists: https://ahrefs.com/use-cases/aeo
  • About Brand Radar | Help Center - Ahrefs: https://help.ahrefs.com/en/articles/11064852-about-brand-radar
  • Additional AI research evidence129 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:30-3
    3. AI research evidence record anthropic:30-5
    4. AI research evidence record openai:c3
    5. AI research evidence record deepseek:c1
    6. AI research evidence record kimi:search_2
    7. AI research evidence record openai:c1
    8. AI research evidence record anthropic:30-1
    9. AI research evidence record deepseek:c1
    10. AI research evidence record openai:c1
    11. AI research evidence record anthropic:15-1
    12. AI research evidence record deepseek:c1
    13. AI research evidence record openai:c3
    14. AI research evidence record google:1.1.3
    15. AI research evidence record anthropic:30-6
    16. AI research evidence record deepseek:c2
    17. AI research evidence record anthropic:13-1
    18. AI research evidence record perplexity:14
    19. AI research evidence record perplexity:1
    20. AI research evidence record anthropic:20-2
    21. AI research evidence record anthropic:23-14
    22. AI research evidence record openai:c6
    23. AI research evidence record anthropic:30-1
    24. AI research evidence record anthropic:30-5
    25. AI research evidence record anthropic:41-9
    26. AI research evidence record anthropic:30-4
    27. AI research evidence record openai:c2
    28. AI research evidence record anthropic:30-7
    29. AI research evidence record anthropic:41-4
    30. AI research evidence record anthropic:10-6
    31. AI research evidence record anthropic:14-2
    32. AI research evidence record anthropic:14-4
    33. AI research evidence record openai:c1
    34. AI research evidence record anthropic:33-7
    35. AI research evidence record anthropic:41-10
    36. AI research evidence record anthropic:10-16
    37. AI research evidence record anthropic:30-3
    38. AI research evidence record anthropic:41-11
    39. AI research evidence record anthropic:4-3
    40. AI research evidence record anthropic:1-13
    41. AI research evidence record anthropic:39-6
    42. AI research evidence record anthropic:39-9
    43. AI research evidence record anthropic:40-1
    44. AI research evidence record anthropic:37-15
    45. AI research evidence record anthropic:41-1
    46. AI research evidence record anthropic:41-2
    47. AI research evidence record anthropic:41-6
    48. AI research evidence record anthropic:5-2
    49. AI research evidence record google:1.1.5
    50. AI research evidence record anthropic:15-24
    51. AI research evidence record anthropic:30-4
    52. AI research evidence record anthropic:26-11
    53. AI research evidence record anthropic:9-3
    54. AI research evidence record anthropic:2-1
    55. AI research evidence record openai:c2
    56. AI research evidence record anthropic:24-3
    57. AI research evidence record perplexity:1
    58. AI research evidence record perplexity:2
    59. AI research evidence record anthropic:23-14
    60. AI research evidence record anthropic:44-3
    61. AI research evidence record anthropic:2-14
    62. AI research evidence record anthropic:27-7
    63. AI research evidence record openai:c2
    64. AI research evidence record anthropic:15-24
    65. AI research evidence record openai:c5
    66. AI research evidence record openai:c4
    67. AI research evidence record openai:c1
    68. AI research evidence record kimi:search_2
    69. AI research evidence record google:1.1.8
    70. AI research evidence record google:2.1.6
    71. AI research evidence record openai:c6
    72. AI research evidence record google:1.4.3
    73. AI research evidence record perplexity:10
    74. AI research evidence record anthropic:20-2
    75. AI research evidence record anthropic:2-14
    76. AI research evidence record anthropic:24-3
    77. AI research evidence record deepseek:c3
    78. AI research evidence record openai:c1
    79. AI research evidence record anthropic:30-1
    80. AI research evidence record anthropic:41-9
    81. AI research evidence record anthropic:41-10
    82. AI research evidence record anthropic:30-6
    83. AI research evidence record anthropic:1-13
    84. AI research evidence record anthropic:23-14
    85. AI research evidence record anthropic:44-3
    86. AI research evidence record anthropic:41-11
    87. AI research evidence record anthropic:4-3
    88. AI research evidence record deepseek:c1
    89. AI research evidence record openai:c1
    90. AI research evidence record kimi:search_2
    91. AI research evidence record anthropic:20-2
    92. AI research evidence record anthropic:23-14
    93. AI research evidence record anthropic:15-24
    94. AI research evidence record anthropic:36-1
    95. AI research evidence record anthropic:2-1
    96. AI research evidence record anthropic:40-1
    97. AI research evidence record openai:c2
    98. AI research evidence record anthropic:41-6
    99. AI research evidence record anthropic:41-1
    100. AI research evidence record anthropic:41-2
    101. AI research evidence record anthropic:41-7
    102. AI research evidence record openai:c1
    103. AI research evidence record kimi:search_3
    104. AI research evidence record kimi:search_6
    105. AI research evidence record anthropic:20-2
    106. AI research evidence record google:2.1.5
    107. AI research evidence record anthropic:5-2
    108. AI research evidence record kimi:search_4
    109. AI research evidence record kimi:search_5
    110. AI research evidence record anthropic:15-24
    111. AI research evidence record kimi:search_2
    112. AI research evidence record openai:c1
    113. AI research evidence record perplexity:2
    114. AI research evidence record google:1.2.6
    115. AI research evidence record anthropic:20-2
    116. AI research evidence record anthropic:23-14
    117. AI research evidence record anthropic:24-3
    118. AI research evidence record kimi:search_2
    119. AI research evidence record anthropic:41-1
    120. AI research evidence record anthropic:30-4
    121. AI research evidence record anthropic:26-11
    122. AI research evidence record anthropic:2-14
    123. AI research evidence record anthropic:27-7
    124. AI research evidence record openai:c6
    125. AI research evidence record perplexity:10
    126. AI research evidence record openai:c1
    127. AI research evidence record deepseek:c1
    128. AI research evidence record kimi:search_2
    129. AI research evidence record openai:c1

Independent Sources

  • Am I Visible?/pro — The 5-day Search Visibility Audit: https://amivisible.co/pro
  • Ahrefs Brand Radar: AI Mentions Caught vs Missed (2026: https://brandmentions.link/ahrefs-brand-mentions/
  • 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/
  • AI Search Audit | GEO Audit for Enterprise Brands: https://indexableai.com/ai-search-audit/
  • Ahrefs Cost Breakdown & Alternatives 2026 | Maintouch: https://maintouch.com/blogs/ahrefs-pricing
  • Mersel AI vs Ahrefs Brand Radar (2026): Pricing, Features & Honest Comparison: https://mersel.ai/blog/mersel-ai-vs-ahrefs-brand-radar
  • Peec AI vs Ahrefs Brand Radar: An objective comparison: https://peec.ai/blog/peec-ai-vs-ahrefs-brand-radar
  • AI Visibility Audit Service | Presenc AI: https://presenc.ai/use-cases/ai-visibility-audit-service
  • Ahrefs Brand Radar Review (2026): Good for SEO Teams, Not Enough for AEO - Profound: https://profound.com/blog/ahrefs-brand-radar-review
  • AI Visibility Audits — GAIO Deficit Reports: https://rankbee.ai/audits
  • Ahrefs Pricing 2026: Real Cost of Every Plan and Trial Rules: https://searchatlas.com/blog/ahrefs-review/
  • Ahrefs Pricing and Brand Radar Costs in 2026: https://trakkr.ai/reviews/ahrefs-review/pricing
  • AEO / AI Visibility Audit — $399 one-time: https://trirankai.com/audit
  • TurboAudit — AI Search Audit & Visibility Platform: https://turboaudit.ai/
  • Ahrefs Brand Radar Review: Does It Meet Expectations? 2026: https://writesonic.com/blog/ahrefs-brand-radar-review
  • Ahrefs Brand Radar Review (2026): Pricing, Features, and the Real Cost of Full Coverage | AEO Labs: https://www.aeolabs.ai/blog/ahrefs-brand-radar-review
  • Ahrefs for AI Visibility: Brand Radar Review & What It St... | Ekamoira Blog: 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 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 for agencies (2026): worth it for client AI visibility?: 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
  • Ahrefs Brand Radar Review 4 Core Features & RadarKit Alternative: https://www.youtube.com/watch?v=6ZpPQR5xWjI
  • Additional AI research evidence129 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:30-3
    3. AI research evidence record anthropic:30-5
    4. AI research evidence record openai:c3
    5. AI research evidence record deepseek:c1
    6. AI research evidence record kimi:search_2
    7. AI research evidence record openai:c1
    8. AI research evidence record anthropic:30-1
    9. AI research evidence record deepseek:c1
    10. AI research evidence record openai:c1
    11. AI research evidence record anthropic:15-1
    12. AI research evidence record deepseek:c1
    13. AI research evidence record openai:c3
    14. AI research evidence record google:1.1.3
    15. AI research evidence record anthropic:30-6
    16. AI research evidence record deepseek:c2
    17. AI research evidence record anthropic:13-1
    18. AI research evidence record perplexity:14
    19. AI research evidence record perplexity:1
    20. AI research evidence record anthropic:20-2
    21. AI research evidence record anthropic:23-14
    22. AI research evidence record openai:c6
    23. AI research evidence record anthropic:30-1
    24. AI research evidence record anthropic:30-5
    25. AI research evidence record anthropic:41-9
    26. AI research evidence record anthropic:30-4
    27. AI research evidence record openai:c2
    28. AI research evidence record anthropic:30-7
    29. AI research evidence record anthropic:41-4
    30. AI research evidence record anthropic:10-6
    31. AI research evidence record anthropic:14-2
    32. AI research evidence record anthropic:14-4
    33. AI research evidence record openai:c1
    34. AI research evidence record anthropic:33-7
    35. AI research evidence record anthropic:41-10
    36. AI research evidence record anthropic:10-16
    37. AI research evidence record anthropic:30-3
    38. AI research evidence record anthropic:41-11
    39. AI research evidence record anthropic:4-3
    40. AI research evidence record anthropic:1-13
    41. AI research evidence record anthropic:39-6
    42. AI research evidence record anthropic:39-9
    43. AI research evidence record anthropic:40-1
    44. AI research evidence record anthropic:37-15
    45. AI research evidence record anthropic:41-1
    46. AI research evidence record anthropic:41-2
    47. AI research evidence record anthropic:41-6
    48. AI research evidence record anthropic:5-2
    49. AI research evidence record google:1.1.5
    50. AI research evidence record anthropic:15-24
    51. AI research evidence record anthropic:30-4
    52. AI research evidence record anthropic:26-11
    53. AI research evidence record anthropic:9-3
    54. AI research evidence record anthropic:2-1
    55. AI research evidence record openai:c2
    56. AI research evidence record anthropic:24-3
    57. AI research evidence record perplexity:1
    58. AI research evidence record perplexity:2
    59. AI research evidence record anthropic:23-14
    60. AI research evidence record anthropic:44-3
    61. AI research evidence record anthropic:2-14
    62. AI research evidence record anthropic:27-7
    63. AI research evidence record openai:c2
    64. AI research evidence record anthropic:15-24
    65. AI research evidence record openai:c5
    66. AI research evidence record openai:c4
    67. AI research evidence record openai:c1
    68. AI research evidence record kimi:search_2
    69. AI research evidence record google:1.1.8
    70. AI research evidence record google:2.1.6
    71. AI research evidence record openai:c6
    72. AI research evidence record google:1.4.3
    73. AI research evidence record perplexity:10
    74. AI research evidence record anthropic:20-2
    75. AI research evidence record anthropic:2-14
    76. AI research evidence record anthropic:24-3
    77. AI research evidence record deepseek:c3
    78. AI research evidence record openai:c1
    79. AI research evidence record anthropic:30-1
    80. AI research evidence record anthropic:41-9
    81. AI research evidence record anthropic:41-10
    82. AI research evidence record anthropic:30-6
    83. AI research evidence record anthropic:1-13
    84. AI research evidence record anthropic:23-14
    85. AI research evidence record anthropic:44-3
    86. AI research evidence record anthropic:41-11
    87. AI research evidence record anthropic:4-3
    88. AI research evidence record deepseek:c1
    89. AI research evidence record openai:c1
    90. AI research evidence record kimi:search_2
    91. AI research evidence record anthropic:20-2
    92. AI research evidence record anthropic:23-14
    93. AI research evidence record anthropic:15-24
    94. AI research evidence record anthropic:36-1
    95. AI research evidence record anthropic:2-1
    96. AI research evidence record anthropic:40-1
    97. AI research evidence record openai:c2
    98. AI research evidence record anthropic:41-6
    99. AI research evidence record anthropic:41-1
    100. AI research evidence record anthropic:41-2
    101. AI research evidence record anthropic:41-7
    102. AI research evidence record openai:c1
    103. AI research evidence record kimi:search_3
    104. AI research evidence record kimi:search_6
    105. AI research evidence record anthropic:20-2
    106. AI research evidence record google:2.1.5
    107. AI research evidence record anthropic:5-2
    108. AI research evidence record kimi:search_4
    109. AI research evidence record kimi:search_5
    110. AI research evidence record anthropic:15-24
    111. AI research evidence record kimi:search_2
    112. AI research evidence record openai:c1
    113. AI research evidence record perplexity:2
    114. AI research evidence record google:1.2.6
    115. AI research evidence record anthropic:20-2
    116. AI research evidence record anthropic:23-14
    117. AI research evidence record anthropic:24-3
    118. AI research evidence record kimi:search_2
    119. AI research evidence record anthropic:41-1
    120. AI research evidence record anthropic:30-4
    121. AI research evidence record anthropic:26-11
    122. AI research evidence record anthropic:2-14
    123. AI research evidence record anthropic:27-7
    124. AI research evidence record openai:c6
    125. AI research evidence record perplexity:10
    126. AI research evidence record openai:c1
    127. AI research evidence record deepseek:c1
    128. AI research evidence record kimi:search_2
    129. AI research evidence record openai:c1

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
48
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#7

Research trail and source mix

Configured platforms

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

Source mix

26 independent · 22 company-owned

Evidence support

42 direct · 6 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 f3e98b9f1591c4ca65b54e14a7ab4403c95bc8a91f82fd2724a3fe2afe3d30b0