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Ahrefs Gemini Visibility Tracking Tool Fit Review

Ahrefs is a good fit for companies that already use the Ahrefs SEO suite and want Gemini visibility tracking bundled with Google AI Overviews, AI Mode, competitor benchmarking, and citation-source analysis.

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

Answer Capsule

Ahrefs is a good fit for companies that already use the Ahrefs SEO suite and want Gemini visibility tracking bundled with Google AI Overviews, AI Mode, competitor benchmarking, and citation-source analysis. Three of the seven platforms in this study named Ahrefs during the ranking stage — DeepSeek (rank 4), OpenAI (rank 7), and Grok (rank 9) — for an average listed rank of 6.7 and a 43% share of included platform responses. The strongest reason to consider it is Brand Radar's explicit Gemini coverage plus cited-page and cited-domain reporting. The main limitation is stacked pricing: full multi-platform coverage is reported at roughly $828 per month or more, and independent reviewers document accuracy gaps and no sentiment scoring.

Research Snapshot

FieldValue
Platform mentions in ranking stage3 of 7 included platforms
Share of included platform responses42.9%
Average listed rank6.7
Best listed rank4 (DeepSeek)
Relevant product/model/planAhrefs Brand Radar AI, including Gemini AI Visibility Index and Custom Prompts
Overall use-case fitGood (5 platforms); Mixed (1 platform); Uncertain (1 platform) — 7 platforms analyzed
Research date2026-09-19

Why Ahrefs Qualified for This Study

Questions This Section Answers

  • Is Ahrefs a good choice for Gemini visibility tracking tools in 2026?
  • Which AI platforms recommended Ahrefs for monitoring Gemini brand mentions?

Ahrefs qualified because it cleared the study's minimum-mention threshold and was named by three of the seven included platforms during ranking discovery: DeepSeek, OpenAI, and Grok. Its listed ranks were 4, 7, and 9, producing an average of 6.7 and a best rank of 4. That is a mid-pack showing rather than a dominant one — four included platforms (Anthropic, Google, Kimi, and Perplexity) evaluated Ahrefs for fit but did not name it in the ranking stage.

The entity evaluated here is Ahrefs the company, with the relevant product being Ahrefs Brand Radar AI, including its Gemini AI Visibility Index and Custom Prompts [1]. Brand Radar is described by Ahrefs as tracking AI visibility across Gemini and other AI platforms, with competitor benchmarking, cited pages and domains, location-aware collection, custom prompts, API access, and reporting integrations [1].

Fit ratings across the seven platforms were not unanimous: five rated Ahrefs a good fit (Anthropic, Google, Grok, OpenAI, Perplexity), one rated it mixed (DeepSeek), and one rated it uncertain (Kimi). That spread is itself a finding — the disagreement centers on how deep and how Gemini-specific the tracking really is.

The Product, Model, Plan, or Service Most Relevant to Gemini Visibility Tracking Tools

Questions This Section Answers

  • Which Ahrefs product or plan do buyers need for Gemini visibility tracking?
  • Does Ahrefs Brand Radar track Gemini specifically, or only Google AI Overviews?

The relevant product is Ahrefs Brand Radar, sold as an AI visibility index or add-on rather than a standalone Gemini tracker. Ahrefs describes Brand Radar as analyzing hundreds of millions of search-backed prompts and providing an AI Visibility Index plus Custom Prompt functionality [3]. Multiple platforms confirm Gemini is a named tracked platform: Brand Radar tracks Gemini alongside ChatGPT, Perplexity, Microsoft Copilot, Google AI Overviews, and Google AI Mode [4].

Custom Prompts are the mechanism for tracking specific buyer questions. Ahrefs states custom prompts track specific questions across ChatGPT, Gemini, Perplexity, and Copilot [8], and that one check equals one prompt execution, one LLM, and one location [10]. Ahrefs also announced custom AI prompt tracking for brand visibility in Gemini, ChatGPT, and Perplexity [11].

The important qualifier: the broad AI Visibility Index is modeled from Ahrefs' search-backed prompt dataset rather than a buyer-defined prompt set, and Ahrefs states prompts are modeled from real search demand with responses collected without personalization or prior context [12]. DeepSeek's evaluation went further, stating that public materials are anchored on ChatGPT and general AI-assistant mentions rather than Gemini specifically, so Gemini depth is only partially verifiable [13]. That is a platform-reported concern, not an established fact.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Ahrefs Brand Radar does well for Gemini tracking?
  • Does Ahrefs Brand Radar show which sources Gemini cites?

The clearest agreement is that Brand Radar explicitly covers Gemini and Google's AI surfaces. Five platforms independently describe Gemini as a tracked platform, and several also list Google AI Overviews and AI Mode in the same product [14]. Grok reported Brand Radar indexes Gemini responses from 31M+ monthly search-backed prompts and tracks mentions, citations, and Share of Voice [18].

Platforms also agreed on citation and source-pattern reporting. Brand Radar tracks which domains and URLs Gemini cites and distinguishes cited pages, found-but-not-cited pages, and not-found pages [19]. One independent review called the citation view the most underrated feature, showing which URL the model pulled a brand mention from — an owned site, a Reddit thread, a review roundup, or a competitor blog [21].

A third area of agreement is competitor benchmarking and Share of Voice. Brand Radar reports brand mentions, share of voice, and competitor visibility, and users can configure their brand, competitors, name variations, associated URLs, and market or niche filters [23]. Ahrefs' methodology page states AI Share of Voice is calculated from mentions or citations across ChatGPT, Perplexity, Gemini, Microsoft Copilot, and Google AI Overviews/AI Mode [25].

Finally, platforms agreed the prompt base is search-backed rather than synthetic. Ahrefs collects queries from Google's People Also Ask and its keyword database representing real search demand [26], and question sets are updated and tested monthly using a 90-day reporting window [28].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How accurate is Ahrefs Brand Radar for Gemini tracking compared with dedicated Gemini tools?
  • Does Ahrefs Brand Radar track Gemini's consumer chatbot, API, and Workspace surfaces separately?

The sharpest disagreement is about depth and accuracy. Kimi rated Ahrefs uncertain, stating there is no verified evidence that Brand Radar tracks Gemini's three distinct surfaces — consumer chatbot, Gemini API, or Workspace assistant — and no documented live prompt scanning, citation URL extraction, or competitor brand enumeration native to Gemini [29]. Kimi's evaluation is platform-reported and its research date was 2026-02-14, earlier than the run date, so it may not reflect later product changes.

Anthropic documented a data-accuracy concern: one independent test reported Brand Radar showing 3 ChatGPT mentions globally versus an actual count of 123, a 97.5% discrepancy [32]. Anthropic also reported that Gemini accuracy is less reliable than Google AI Overview tracking and that Brand Radar's keyword-first methodology may mismatch how AI search works at the prompt level [33]. These are independent-review claims, not verified measurements, and may reflect outdated testing or platform changes.

Platforms also disagreed on refresh cadence. Anthropic and Grok describe monthly refreshes with a 90-day reporting window and snapshot methodology rather than real-time data [36]. Perplexity stated the reviewed sources do not conclusively verify whether Gemini data updates daily, monthly, or on another cadence [39]. DeepSeek reported that granularity and history length for Gemini-specific tracking are unclear [40].

Coverage gaps drew mixed treatment. Anthropic reported Brand Radar omits Claude natively (available only through custom prompts), omits Meta AI, and has documented Grok limitations noted as temporarily unavailable [41]. Anthropic also reported that Ahrefs charges $699/month for the full bundle and still skips Claude [44].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • What Gemini visibility features does Ahrefs Brand Radar include for mentions, citations, and competitor tracking?
  • Can Ahrefs Brand Radar track custom buyer questions in Gemini over time?

Brand Radar's core AI metrics are mentions, citations, estimated impressions, and AI Share of Voice [45]. It does not list a dedicated sentiment score as a core metric [46], and mention count does not indicate whether the brand was the first recommendation, an alternative, a negative example, or a minor reference — underlying answers must still be reviewed manually [48].

For Gemini specifically, the relevant capabilities are:

  • Gemini coverage: Gemini is a named tracked platform alongside ChatGPT, Perplexity, Copilot, Google AI Overviews, and Google AI Mode [50].
  • Mentions and recommendations: The AI Visibility Index reports how often a brand appears in AI answers, while Custom Prompts track exact buyer questions and responses [52].
  • Citations and source patterns: Top cited pages and domains are reported, with cited-page reporting distinguishing cited responses from pages found but not cited [52].
  • Competitor visibility: Brand, competitors, name variations, associated URLs, and market or niche filters are configurable for comparative reports [55].
  • Change tracking: Saved reports retain entities, filters, locations, and tracking frequency; Custom Prompts can be checked daily, weekly, or monthly [52].
  • Google AI experiences: AI Overviews and AI Mode are covered alongside Gemini [52].
  • Data access: API access for eligible reports, Ahrefs MCP access, Report Builder, and a Looker Studio connector are supported [52]. The Brand Radar API includes the same columns and filters as the in-app tool [58].

Adjacent capabilities include beta tracking for YouTube transcripts, TikTok captions, and Reddit mentions, with YouTube and TikTok tracking reported to cost an additional $199/month after the beta period [59]. What Brand Radar does not provide, per independent reviews, is content generation, automated optimization recommendations, or attribution to traffic or revenue changes [63].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Ahrefs Brand Radar cost per month for Gemini tracking, and are there setup or cancellation fees?
  • What happens when Ahrefs Custom Prompt checks run out, and can overage be disabled?

Pricing is the most conflicted area in the evidence, and buyers should treat every figure below as requiring confirmation at checkout. Ahrefs' public pages describe Brand Radar as a standalone AI visibility product starting at $199 per month for a single platform/index, with an all-platforms option at $699 per month including 2,500 Custom Prompt checks per month [66].

Reported costs across platforms:

ItemReported priceSource
Single Brand Radar AI platform/index$199/month,
All-platforms Brand Radar$699/month, includes 2,500 Custom Prompt checks,
Select-platforms tier$398/month (product page)
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 plan (Lite)$129/month,
Reported all-in full coverage$828/month ($699 + $129 base),
Reported all-in range$828–$1,148/month

Included Custom Prompt allowances differ by source. OpenAI reported Lite, Standard, and Advanced plans include 150, 300, and 600 checks per month respectively, with Starter excluded [67]. Google reported the same 150/300/600 structure [70]. Anthropic reported Lite includes 5 tracked AI prompts, Standard 10, and Advanced 20 [71] — a different unit of measure that conflicts with the check-based figures. Ryze reported the product page shows $398/month for select platforms while the main pricing page says from $199/month [72]. These conflicts are unresolved in the supplied evidence.

Contract and cancellation terms: Ahrefs states subscriptions can be canceled from Account Settings and remain usable through the end of the subscription period, and that it generally does not issue refunds, though monthly refunds may be requested if the service has not been used, with approval discretionary [67]. Enterprise pricing lists an annual commitment requirement [67]. Perplexity reported Brand Radar is purchasable monthly and annual purchase appears limited to Enterprise [73]. Anthropic reported no contracts or setup fees on Standard, Advanced, or monthly plans, with Enterprise requiring annual commitment and no published refunds [74].

Additional fees reported include extra seats and users billed separately, content modules and project-level upgrades, prompt overages beyond 2,500/month at $0.020 per check, and YouTube/TikTok tracking at $199/month post-beta [74]. Google reported additional user seats ranging from $40 to $100/month per user and custom prompt overages of $0.010 to $0.020 per check [76]. For context, one independent review put the industry average cost for a dedicated AI visibility tracking tool at $337/month [77].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Ahrefs Brand Radar for Gemini visibility tracking?
  • Is Ahrefs Brand Radar worth it for teams already using the Ahrefs SEO suite?

Ahrefs is best suited to buyers already inside the Ahrefs ecosystem. Five platforms converged on this: existing Ahrefs users seeking to add Gemini and broader AI visibility to SEO workflows, enterprise brands doing category-level and competitor research across AI and search simultaneously, and teams prioritizing citation-source intelligence alongside traditional backlink analysis [78].

Specific fits supported by the evidence:

  • Benchmarking Gemini visibility against competitors across large search-backed prompt datasets [81].
  • Identifying which pages and domains are cited in Gemini answers [81].
  • Monitoring selected buyer questions over time through Custom Prompts [85].
  • Combining Gemini visibility with Google AI Overviews, AI Mode, SEO, web, Reddit, and YouTube data [81].
  • Google AI Overviews-first strategies with secondary Gemini monitoring [88].

The integration argument is real: Brand Radar sits data next to keyword rankings and backlinks already tracked in Ahrefs, and independent reviewers note it integrates seamlessly into an existing Ahrefs strategy [87]. For teams already paying for Ahrefs, that is the path of least resistance into AI visibility.

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Ahrefs Brand Radar for Gemini visibility tracking?
  • Is Ahrefs Brand Radar a good fit for agencies needing white-label client reporting?

Ahrefs is probably not the right choice for buyers whose primary need is a cheap, Gemini-only tracker. Anthropic listed small to mid-market companies and agencies with limited budgets as a poor fit, since full Gemini coverage is reported at $828+/month before custom prompts [91]. Buyers requiring Gemini-only tracking at the lowest possible cost are explicitly flagged as a poor fit [93].

Other poor-fit profiles supported by the evidence:

  • Teams needing high-frequency prompt-level tracking with custom commercial queries, given the reported 2,500 checks/month default cap [94].
  • Organizations requiring real-time or continuous monitoring, since Brand Radar uses snapshot methodology with a 90-day reporting window [96].
  • Teams needing sentiment analysis, because Brand Radar does not list a dedicated sentiment score as a core metric [98].
  • Companies tracking Claude, Grok, or Meta AI alongside Gemini, since Claude is available only through custom prompts and Meta AI is not natively supported [100].
  • Agencies needing white-label or multi-client reporting, because Brand Radar is built as an exploratory tool inside the Ahrefs ecosystem rather than a multi-client tracker with branded output [102].
  • Buyers requiring fully independent validation of the modeled visibility index [93].
  • Teams needing actionable optimization, since Brand Radar is tracking-only without content generation or automated recommendations [104].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Ahrefs for a buyer who needs low-cost Gemini-only tracking?
  • When should a buyer choose a dedicated Gemini tracker instead of Ahrefs Brand Radar?

A different option may be better in several specific situations. When budget is the primary constraint, dedicated Gemini-only tools are reported to start at $99–$295/month without base-plan overhead [106]. When high-frequency custom prompt tracking is needed, purpose-built tools are reported to offer better prompt allowances and per-check pricing [107]. When real-time or daily tracking is required, snapshot methodology limits Brand Radar to monthly updates while real-time platforms exist [108].

When the buyer needs exact-prompt, Gemini-only monitoring with more granular scheduling or response-level change alerts, a Gemini-specialized vendor may fit better [109]. When the primary need is Google AI Overviews or AI Mode visibility rather than conversational Gemini visibility, a Google-focused measurement workflow may be preferable [109]. When the buyer needs independently audited methodology, raw response archives, or guaranteed coverage of account-specific personalization, an enterprise analytics or custom data solution may be required [109].

Kimi's evaluation named specific dedicated alternatives — Rankability, Meev, SolCrys, Citenzo, and GetIntel — for buyers whose primary need is Gemini-specific surface tracking, live prompt scanning, citation URL extraction, and competitor brand enumeration [110]. Those are vendor-owned sources describing their own products, so treat the capability claims as platform-reported. Kimi also noted that dedicated tools capture up to 25 competitor brands mentioned alongside yours per scan [110]. For buyers who do not need a traditional enterprise SEO platform, cheaper standalone AI trackers may be better [115].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Ahrefs before signing a contract for Gemini tracking?
  • Does the $199 Ahrefs index include Gemini, or is Gemini only in the all-platforms bundle?

The evidence leaves several material questions unresolved. Buyers should confirm each directly with Ahrefs before purchase:

  1. Does the selected $199 index specifically include Gemini, or is Gemini available only through an all-platforms purchase in the buyer's account and region [116]?
  2. How are United States locations represented, and can the buyer select state, city, language, device, or other location parameters [116]?
  3. Are Gemini responses collected from the public web experience, the Gemini app, Google Search surfaces, or another endpoint [116]?
  4. What exact historical depth, refresh frequency, export fields, and alerting are available for Gemini [116]?
  5. How are citations, mentions, sentiment, recommendations, and competitor comparisons defined and counted [116]?
  6. What happens when Custom Prompt checks are exhausted, and can pay-as-you-go overage be disabled [116]?
  7. Are API, MCP, Looker Studio, Report Builder, and raw-response exports included or separately charged [116]?
  8. What refund, renewal, annual-commitment, and cancellation terms apply to the exact purchase path [117]?
  9. Can Ahrefs provide independent methodology documentation or validation for the Gemini index [116]?
  10. Does Brand Radar require an active Ahrefs base subscription, and what is the exact total monthly cost [118]?
  11. Does the current Gemini tracking cover both standard web Gemini queries and mobile app search variations [120]?
  12. What is the current status of Grok data collection, which Ahrefs noted may be temporarily unavailable [121]?

Final AI Consensus Verdict

Ahrefs is a good fit for Gemini visibility tracking, with meaningful caveats. Five of seven platforms rated it good, one mixed, and one uncertain. It was named by three of seven platforms in the ranking stage at an average rank of 6.7.

The consensus case for Ahrefs rests on explicit Gemini coverage, cited-page and cited-domain reporting, competitor benchmarking, Share of Voice, and integration with existing Ahrefs SEO data. The consensus case against it rests on stacked pricing reported at $828–$1,148/month for full coverage, snapshot rather than real-time monitoring, limited prompt allowances, no sentiment scoring, no optimization layer, and documented accuracy concerns from independent reviewers.

Buyers already embedded in Ahrefs should test the free tier and basic inclusions before committing to paid indexes. Buyers without an Ahrefs subscription should weigh the total cost against dedicated Gemini trackers and broader AEO platforms before deciding. Confirm current Gemini pricing, geographic collection details, exact response coverage, and usage limits before purchase.

How This Review Was Produced

This review evaluates Ahrefs only for the Gemini Visibility Tracking Tools use case. It draws on structured fit-research responses from seven AI platforms — Anthropic, DeepSeek, Google, Grok, Kimi, OpenAI, and Perplexity — collected for a study dated 2026-09-19. Each platform returned a fit rating, use-case findings, pricing and terms, limitations, and questions to verify before buying.

Ranking statistics reflect only the platforms that named Ahrefs during ranking discovery: DeepSeek, OpenAI, and Grok. The remaining four platforms evaluated fit without naming Ahrefs in the ranking stage. Fit ratings are reported as supplied and are not independently verified.

Methodology Limitations

Several limitations apply. Company-owned citations materially outnumber independent citations in the supplied evidence, so Ahrefs' own product, help, and methodology pages should not be read as independently verified facts. Platform-reported research dates differ from the authoritative run date: DeepSeek's evaluation is dated 2026-02-14, while the other six platforms are dated 2026-09-19. DeepSeek's findings may therefore be stale.

The supplied URLs were collected from platform responses and were not independently validated. Official-site retrieval for the Ahrefs homepage failed during processing, so the exact matching context should be verified directly on the vendor site. Identity matching used an exact-name fallback, and the matching reported domain remains unverified.

Pricing conflicts are unresolved: reported figures include $199/month per index, $398/month for select platforms, $699/month for all platforms, and $828–$1,148/month all-in. Included prompt allowances are reported both as 150/300/600 checks and as 5/10/20 tracked prompts. Ahrefs' public pages show changing prompt-dataset totals, including approximately 405M, 455M, and 475M references. The exact current dataset size should be confirmed at purchase.

No platform in this study performed independent verification of Ahrefs' Gemini coverage, response sampling, index accuracy, or citation completeness. Agreement among AI platforms does not prove product quality. Buyers should treat all capability and pricing claims as requiring direct confirmation with Ahrefs.

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

Sources

Company-Owned Sources

  • Indirect inference from industry context; no direct Ahrefs Gemini-specific documentation found in search results: https://ahrefs.com/
  • Free AI Visibility Checker by Ahrefs: Track Your Brand in AI search: https://ahrefs.com/ai-visibility-checker
  • Ahrefs Brand Radar Methodology: How we collect and model AI visibility data: https://ahrefs.com/blog/?p=192393
  • Ahrefs Pricing: How to Choose the Right Ahrefs Plan: https://ahrefs.com/blog/ahrefs-pricing/
  • Introducing AI Visibility in Ahrefs Brand Radar: https://ahrefs.com/blog/ai-visibility/
  • Ahrefs Brand Radar Methodology: How we collect and model AI visibility data: https://ahrefs.com/blog/brand-radar-methodology/
  • 10 Ways to Use Ahrefs' Brand Radar to Grow AI Visibility: https://ahrefs.com/blog/brand-radar-use-cases/
  • Grok in Brand Radar, higher API limits, and more: https://ahrefs.com/blog/new-features-apr-2026/
  • Brand Radar 2.0, YouTube backlinks, social media management: https://ahrefs.com/blog/new-features-aug-2025/
  • Ahrefs Brand Radar: See ANY brand’s AI visibility: https://ahrefs.com/brand-radar
  • Free AI Visibility Checker: https://ahrefs.com/free-ai-visibility
  • Free AI Visibility Checker by Ahrefs: Track Your Brand in AI search: https://ahrefs.com/free-seo-tools/ai-visibility-checker
  • AI Marketing Platform for AEO Specialists: https://ahrefs.com/use-cases/aeo
  • Gemini Brand Visibility Tracker — Track Your Visibility in Gemini Search: https://beamtrace.com/gemini-marketing/visibility-tracker
  • Gemini Visibility Tracker — See If Google Gemini Recommends You: https://citenzo.com/gemini-visibility-tracker/
  • Gemini Visibility Tracker: Track Your Brand in Gemini (GetIntel: https://getintel.ai/gemini-visibility-tracker/
  • About Brand Radar | Help Center - Ahrefs: https://help.ahrefs.com/en/articles/11064852-about-brand-radar
  • Gemini Visibility Tracking — Get Cited by Google's Gemini: https://meev.ai/platform/gemini-visibility
  • Track Gemini AI Search Visibility and Brand Mentions: https://seranking.com/gemini-visibility-tracker.html
  • Gemini Visibility Tracker: Free Brand Audit: https://solcrys.com/gemini-visibility-tracker/
  • Google Gemini Rank Tracker — Track Brand Mentions & Visibility in Gemini: https://www.rankability.com/google-gemini-rank-tracker/
  • Gemini Visibility Tracker: Monitor Your Brand in Google Gemini: https://www.rankzero.io/trackers/gemini
  • Additional AI research evidence121 records
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    3. AI research evidence record openai:c2
    4. AI research evidence record anthropic:1-3
    5. AI research evidence record anthropic:5-1
    6. AI research evidence record perplexity:c4
    7. AI research evidence record google:1.3.8
    8. AI research evidence record anthropic:9-21
    9. AI research evidence record anthropic:9-22
    10. AI research evidence record openai:c7
    11. AI research evidence record google:1.2.8
    12. AI research evidence record openai:c1
    13. AI research evidence record deepseek:c1
    14. AI research evidence record anthropic:1-3
    15. AI research evidence record anthropic:5-1
    16. AI research evidence record perplexity:c4
    17. AI research evidence record google:1.3.8
    18. AI research evidence record grok:0
    19. AI research evidence record anthropic:6-4
    20. AI research evidence record anthropic:6-5
    21. AI research evidence record anthropic:12-5
    22. AI research evidence record anthropic:12-6
    23. AI research evidence record deepseek:c2
    24. AI research evidence record openai:c3
    25. AI research evidence record perplexity:c6
    26. AI research evidence record anthropic:8-16
    27. AI research evidence record anthropic:7-5
    28. AI research evidence record anthropic:8-9
    29. AI research evidence record kimi:solcrys
    30. AI research evidence record kimi:rankability
    31. AI research evidence record kimi:getintel
    32. AI research evidence record anthropic:14-3
    33. AI research evidence record anthropic:3-5
    34. AI research evidence record anthropic:3-6
    35. AI research evidence record anthropic:3-7
    36. AI research evidence record anthropic:7-9
    37. AI research evidence record anthropic:8-9
    38. AI research evidence record grok:2
    39. AI research evidence record perplexity:c1
    40. AI research evidence record deepseek:c2
    41. AI research evidence record anthropic:6-11
    42. AI research evidence record anthropic:6-12
    43. AI research evidence record anthropic:6-13
    44. AI research evidence record anthropic:25-13
    45. AI research evidence record anthropic:6-2
    46. AI research evidence record anthropic:6-8
    47. AI research evidence record anthropic:6-9
    48. AI research evidence record anthropic:13-1
    49. AI research evidence record anthropic:13-2
    50. AI research evidence record anthropic:1-3
    51. AI research evidence record perplexity:c4
    52. AI research evidence record openai:c1
    53. AI research evidence record openai:c2
    54. AI research evidence record openai:c6
    55. AI research evidence record openai:c3
    56. AI research evidence record openai:c7
    57. AI research evidence record openai:c4
    58. AI research evidence record anthropic:18-1
    59. AI research evidence record anthropic:3-1
    60. AI research evidence record anthropic:11-10
    61. AI research evidence record anthropic:11-11
    62. AI research evidence record anthropic:11-12
    63. AI research evidence record anthropic:10-1
    64. AI research evidence record anthropic:21-11
    65. AI research evidence record anthropic:21-12
    66. AI research evidence record openai:c5
    67. AI research evidence record openai:c4
    68. AI research evidence record perplexity:c2
    69. AI research evidence record perplexity:c3
    70. AI research evidence record google:1.2.6
    71. AI research evidence record anthropic:24-16
    72. AI research evidence record anthropic:24-1
    73. AI research evidence record perplexity:c8
    74. AI research evidence record anthropic:22-2
    75. AI research evidence record anthropic:3-1
    76. AI research evidence record google:2.1.3
    77. AI research evidence record anthropic:26-12
    78. AI research evidence record anthropic:22-2
    79. AI research evidence record google:2.1.5
    80. AI research evidence record grok:15
    81. AI research evidence record openai:c1
    82. AI research evidence record openai:c3
    83. AI research evidence record anthropic:6-4
    84. AI research evidence record anthropic:12-5
    85. AI research evidence record openai:c7
    86. AI research evidence record anthropic:9-21
    87. AI research evidence record anthropic:16-14
    88. AI research evidence record anthropic:3-6
    89. AI research evidence record anthropic:10-4
    90. AI research evidence record anthropic:10-5
    91. AI research evidence record anthropic:26-1
    92. AI research evidence record anthropic:21-3
    93. AI research evidence record openai:c1
    94. AI research evidence record anthropic:22-13
    95. AI research evidence record openai:c7
    96. AI research evidence record anthropic:7-9
    97. AI research evidence record anthropic:8-9
    98. AI research evidence record anthropic:6-8
    99. AI research evidence record anthropic:6-9
    100. AI research evidence record anthropic:6-11
    101. AI research evidence record anthropic:6-13
    102. AI research evidence record anthropic:2-3
    103. AI research evidence record anthropic:2-4
    104. AI research evidence record anthropic:10-1
    105. AI research evidence record anthropic:21-11
    106. AI research evidence record anthropic:22-2
    107. AI research evidence record anthropic:22-13
    108. AI research evidence record anthropic:7-9
    109. AI research evidence record openai:c1
    110. AI research evidence record kimi:rankability
    111. AI research evidence record kimi:meev
    112. AI research evidence record kimi:solcrys
    113. AI research evidence record kimi:citenzo
    114. AI research evidence record kimi:getintel
    115. AI research evidence record google:1.1.8
    116. AI research evidence record openai:c1
    117. AI research evidence record openai:c4
    118. AI research evidence record anthropic:22-2
    119. AI research evidence record perplexity:c8
    120. AI research evidence record google:1.3.4
    121. AI research evidence record anthropic:6-12

Independent Sources

  • Ahrefs Pricing 2026: Costs, Add-Ons & Competitors - Ahrefs: https://checkthat.ai/brands/ahrefs/pricing
  • Ahrefs AI Features: AI Search Optimization, GEO & SEO Tools: https://compubrain.com/ahrefs-ai-features/
  • 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 Cost Breakdown & Alternatives 2026: https://maintouch.com/blogs/ahrefs-pricing
  • Ahrefs Brand Radar Review (2026): Pricing + Alternatives: https://meev.ai/reviews/ahrefs-brand-radar
  • Ahrefs Brand Radar Review 2026: Is It Worth $828/Month?: https://nbound.com/ahrefs-brand-radar-review
  • Ahrefs Brand Radar Review (2026): Good for SEO Teams, Not Enough for AEO: https://profound.com/blog/ahrefs-brand-radar-review
  • Ahrefs Review (2026) - Pricing, Brand Radar, Pros & Cons - Trakkr: https://trakkr.ai/reviews/ahrefs-review
  • Ahrefs Pricing and Brand Radar Costs in 2026: https://trakkr.com/blog/ahrefs-pricing-brand-radar-costs
  • Ahrefs Brand Radar Review (2026): Pricing, Features, and the Real Cost of Full Coverage: https://www.aeolabs.ai/blog/ahrefs-brand-radar-review
  • What is Ahrefs Brand Radar? SEO & AI Visibility Platform - Ansvisor: https://www.ansvisor.com/ai-visibility-glossary/ahrefs-brand-radar
  • Ahrefs Brand Radar Review 2026: Features & Verdict: https://www.arfadia.com/blog/ahrefs-brand-radar-review/
  • Ahrefs for AI Visibility: Brand Radar Review & What It Still Can't Track - Ekamoira: 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 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
  • Additional AI research evidence121 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c2
    3. AI research evidence record openai:c2
    4. AI research evidence record anthropic:1-3
    5. AI research evidence record anthropic:5-1
    6. AI research evidence record perplexity:c4
    7. AI research evidence record google:1.3.8
    8. AI research evidence record anthropic:9-21
    9. AI research evidence record anthropic:9-22
    10. AI research evidence record openai:c7
    11. AI research evidence record google:1.2.8
    12. AI research evidence record openai:c1
    13. AI research evidence record deepseek:c1
    14. AI research evidence record anthropic:1-3
    15. AI research evidence record anthropic:5-1
    16. AI research evidence record perplexity:c4
    17. AI research evidence record google:1.3.8
    18. AI research evidence record grok:0
    19. AI research evidence record anthropic:6-4
    20. AI research evidence record anthropic:6-5
    21. AI research evidence record anthropic:12-5
    22. AI research evidence record anthropic:12-6
    23. AI research evidence record deepseek:c2
    24. AI research evidence record openai:c3
    25. AI research evidence record perplexity:c6
    26. AI research evidence record anthropic:8-16
    27. AI research evidence record anthropic:7-5
    28. AI research evidence record anthropic:8-9
    29. AI research evidence record kimi:solcrys
    30. AI research evidence record kimi:rankability
    31. AI research evidence record kimi:getintel
    32. AI research evidence record anthropic:14-3
    33. AI research evidence record anthropic:3-5
    34. AI research evidence record anthropic:3-6
    35. AI research evidence record anthropic:3-7
    36. AI research evidence record anthropic:7-9
    37. AI research evidence record anthropic:8-9
    38. AI research evidence record grok:2
    39. AI research evidence record perplexity:c1
    40. AI research evidence record deepseek:c2
    41. AI research evidence record anthropic:6-11
    42. AI research evidence record anthropic:6-12
    43. AI research evidence record anthropic:6-13
    44. AI research evidence record anthropic:25-13
    45. AI research evidence record anthropic:6-2
    46. AI research evidence record anthropic:6-8
    47. AI research evidence record anthropic:6-9
    48. AI research evidence record anthropic:13-1
    49. AI research evidence record anthropic:13-2
    50. AI research evidence record anthropic:1-3
    51. AI research evidence record perplexity:c4
    52. AI research evidence record openai:c1
    53. AI research evidence record openai:c2
    54. AI research evidence record openai:c6
    55. AI research evidence record openai:c3
    56. AI research evidence record openai:c7
    57. AI research evidence record openai:c4
    58. AI research evidence record anthropic:18-1
    59. AI research evidence record anthropic:3-1
    60. AI research evidence record anthropic:11-10
    61. AI research evidence record anthropic:11-11
    62. AI research evidence record anthropic:11-12
    63. AI research evidence record anthropic:10-1
    64. AI research evidence record anthropic:21-11
    65. AI research evidence record anthropic:21-12
    66. AI research evidence record openai:c5
    67. AI research evidence record openai:c4
    68. AI research evidence record perplexity:c2
    69. AI research evidence record perplexity:c3
    70. AI research evidence record google:1.2.6
    71. AI research evidence record anthropic:24-16
    72. AI research evidence record anthropic:24-1
    73. AI research evidence record perplexity:c8
    74. AI research evidence record anthropic:22-2
    75. AI research evidence record anthropic:3-1
    76. AI research evidence record google:2.1.3
    77. AI research evidence record anthropic:26-12
    78. AI research evidence record anthropic:22-2
    79. AI research evidence record google:2.1.5
    80. AI research evidence record grok:15
    81. AI research evidence record openai:c1
    82. AI research evidence record openai:c3
    83. AI research evidence record anthropic:6-4
    84. AI research evidence record anthropic:12-5
    85. AI research evidence record openai:c7
    86. AI research evidence record anthropic:9-21
    87. AI research evidence record anthropic:16-14
    88. AI research evidence record anthropic:3-6
    89. AI research evidence record anthropic:10-4
    90. AI research evidence record anthropic:10-5
    91. AI research evidence record anthropic:26-1
    92. AI research evidence record anthropic:21-3
    93. AI research evidence record openai:c1
    94. AI research evidence record anthropic:22-13
    95. AI research evidence record openai:c7
    96. AI research evidence record anthropic:7-9
    97. AI research evidence record anthropic:8-9
    98. AI research evidence record anthropic:6-8
    99. AI research evidence record anthropic:6-9
    100. AI research evidence record anthropic:6-11
    101. AI research evidence record anthropic:6-13
    102. AI research evidence record anthropic:2-3
    103. AI research evidence record anthropic:2-4
    104. AI research evidence record anthropic:10-1
    105. AI research evidence record anthropic:21-11
    106. AI research evidence record anthropic:22-2
    107. AI research evidence record anthropic:22-13
    108. AI research evidence record anthropic:7-9
    109. AI research evidence record openai:c1
    110. AI research evidence record kimi:rankability
    111. AI research evidence record kimi:meev
    112. AI research evidence record kimi:solcrys
    113. AI research evidence record kimi:citenzo
    114. AI research evidence record kimi:getintel
    115. AI research evidence record google:1.1.8
    116. AI research evidence record openai:c1
    117. AI research evidence record openai:c4
    118. AI research evidence record anthropic:22-2
    119. AI research evidence record perplexity:c8
    120. AI research evidence record google:1.3.4
    121. AI research evidence record anthropic:6-12

Verify this research

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

Study date
September 19, 2026
Platforms analyzed
7
Source records
50
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#6

Research trail and source mix

Configured platforms

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

Source mix

21 independent · 29 company-owned

Evidence support

44 direct · 5 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 d1fd9765bbd5bf7ab9251903afbc7a85c456a636003835763ee86fc24e6ea076