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AI Consensus Fit Review

Ahrefs AI Citation Platform Fit Review for Historical Citation Tracking

Ahrefs is a qualified but mixed fit for AI Citation Platforms for Historical Citation Tracking.

Research: 2026-09-177 usable platform responsesRead the methodology ↗

Answer Capsule

Ahrefs is a qualified but mixed fit for AI Citation Platforms for Historical Citation Tracking. Three of seven platforms named Ahrefs during ranking discovery, and its strongest reason to consider it is Brand Radar's search-backed prompt index, which supplies retroactive AI visibility history without a setup delay. Its main limitation is that public documentation does not clearly guarantee immutable historical snapshots, complete raw-response retention, or a dedicated citation-architecture change log. Buyers needing audit-grade historical reconstruction should verify retention and export behavior before committing.

Research Snapshot

FieldValue
Platform mentions in ranking stage3 of 7
Share of included platform responses42.9%
Average listed rank4.0
Best listed rank1
Relevant product/model/planAhrefs Brand Radar with Custom Prompts; Ahrefs Lite or higher
Overall use-case fitMixed
Research date2026-09-17

Why Ahrefs Qualified for This Study

Questions This Section Answers

  • Is Ahrefs a good choice for AI Citation Platforms for Historical Citation Tracking?
  • Why did only three of seven AI platforms name Ahrefs for historical citation tracking?

Ahrefs qualified because three of the seven included platforms named it during ranking discovery, clearing the two-mention minimum. OpenAI ranked it first, DeepSeek ranked it fifth, and Perplexity ranked it sixth, producing an average listed rank of 4.0 and a best listed rank of 1. Its qualifying product is Ahrefs Brand Radar with Custom Prompts, available on Ahrefs Lite or higher.

Qualification is not the same as endorsement. Fit ratings split across the seven platforms: OpenAI and Google rated Ahrefs a good fit, Anthropic, DeepSeek, Grok, and Perplexity rated it mixed, and Kimi rated it weak. That spread is the central finding of this review.

The Product, Model, Plan, or Service Most Relevant to AI Citation Platforms for Historical Citation Tracking

Questions This Section Answers

  • Which Ahrefs plan should a buyer choose if they need historical AI citation tracking with Custom Prompts?
  • Does Ahrefs Brand Radar include historical AI citation data, or only current-state visibility?

The relevant product is Ahrefs Brand Radar, specifically its Custom Prompts capability and the Brand Radar AI Visibility Index. Ahrefs documents Brand Radar platform coverage, Custom Prompt controls, location handling, refresh frequencies, and standardized non-personalized collection [1]. Ahrefs describes Brand Radar as covering AI visibility, cited pages, competitor benchmarking, custom prompts, and historical trends [2].

Ahrefs defines AI visibility metrics including citations and states that Brand Radar tracks mentions, citations, impressions, and AI Share of Voice [3]. A citation is defined as a page appearing at least once as a cited source in an AI-generated response [3].

Custom Prompts are available from the Lite plan upward. Lite includes 5 tracked daily prompts and 150 checks per month, Standard includes 10 daily prompts and 300 checks, and Advanced includes 20 daily prompts and 600 checks [4]. One check equals one prompt execution multiplied by one AI platform and one location; Claude consumes eight checks per update [4].

Independent coverage describes Brand Radar as a full monitoring product with historical trends, AI Share of Voice, competitive benchmarking, and custom prompt tracking [5]. One independent review states Brand Radar runs questions across supported AI platforms and stores resulting answers and citations in a searchable historical database [6]. Another independent review describes Brand Radar as one of the strongest AI visibility research databases available in 2026 [7].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Ahrefs Brand Radar does well for historical citation tracking?
  • Is Ahrefs Brand Radar worth it for prompt-level AI visibility monitoring?

Platforms broadly agreed on three points. First, Brand Radar provides prompt-level monitoring. Custom Prompts let buyers define questions, select AI assistants, locations, and refresh frequency, with daily, weekly, or monthly tracking [8]. Ahrefs states it uses search-backed prompts from its keyword database [10], and one independent review notes prompts derive from real search behavior rather than synthetic questions [11].

Second, Brand Radar covers multiple AI platforms. Documented Custom Prompt coverage includes Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Copilot [8]. Ahrefs states Brand Radar measures AI Share of Voice from brand mentions or citations across multiple AI engines [12]. One independent review reports Brand Radar measures AI Mentions, Citations, and Share of Voice across six AI surfaces [13].

Third, Brand Radar offers some historical trend capability. Ahrefs describes historical trends and a 2026 position plot for average citation position over time [14]. Independent testing cited by one review found Ahrefs provides historical data for AI visibility trends while Peec AI and Otterly AI cannot [16]. Another independent review states Peec and Otterly can track once monitoring starts but cannot access historical data the way Ahrefs can [17].

Agreement among AI platforms does not establish product quality. These are platform-reported findings drawn largely from company-owned documentation.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Does Ahrefs Brand Radar preserve immutable historical snapshots of AI answers and citations?
  • How accurate is Ahrefs Brand Radar at counting AI citations compared with actual mentions?

The sharpest disagreement concerns data accuracy. Independent testing reported by one review found Brand Radar reported 3 ChatGPT mentions versus 123 actual, and 6 Perplexity mentions versus 212 actual for one tested brand [18]. The same review attributes this to a static prompt library with timed snapshots that cannot capture dynamic personalization or regenerated responses [18]. By contrast, independent testing cited elsewhere found Google AI Overviews tracking provides realistic directional insights [19]. These findings are not reconciled in the supplied evidence.

Snapshot preservation is unresolved. OpenAI states that public documentation does not clearly guarantee immutable historical snapshots or complete raw-response and citation-set retention [20]. Perplexity states verified public sources do not clearly confirm durable historical citation archives, preserved snapshots, or URL/domain-level citation diffing [21]. DeepSeek reports no independently verified documentation confirming per-citation source gain/loss tracking for AI answers [24].

Grok availability conflicts across Ahrefs' own sources. The Help Center says Grok cannot currently provide new data, while an April 2026 Ahrefs announcement says Grok is available [25]. Google reports Grok data collection has been temporarily paused [26]. Buyers should verify current account-level availability.

Historical depth is disputed. Grok reports AI Overviews data from August 2024 and AI chatbots from May 2025, with historical AI responses back to 2025 [27]. Anthropic reports a 271M+ organic-prompt index enabling retroactive research without setup delay [29]. Kimi reports no confirmed historical citation database with first-seen/last-seen fields and no evidence of prompt-level citation trend preservation [30].

Refresh cadence is also inconsistent. One independent review reports AI chatbot indexes update once a month, Google AI Overviews every few days, and Web Visibility every few minutes [32]. Another states LLM responses are sampled on a schedule, not in real time [33].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Ahrefs Brand Radar track cited domains and cited URLs in AI answers?
  • Can Ahrefs Brand Radar track competitor citation movement and source gains and losses?

Historical domain and URL citations: Brand Radar provides Cited Domains and Cited Pages reports, allowing users to trace offsite URL-level and domain-level citations [34]. Ahrefs promotes analysis of cited pages and domains and competitor benchmarking [36]. Independent coverage notes cited-domain and cited-page reports distinguish owned-page retrieval from third-party influence [37]. DeepSeek notes Ahrefs' core strength is a long-running historical backlink index with URL-level data, though this maps to web citations rather than AI-generated answer citations [38].

Prompt-level trends: Custom Prompts support exact buyer questions, selected locations, selected platforms, and recurring refresh schedules [39]. Ahrefs documents Custom Prompt allowances, platform selection, frequency options, check calculation, and historical report access [40].

Competitor movement: Brand Radar supports competitor benchmarking and continuous visibility tracking [36]. Ahrefs states AI Share of Voice is calculated from brand mentions or citations across multiple AI engines [42]. However, OpenAI notes public materials do not clearly document a dedicated source-gain/source-loss workflow or guaranteed alerts for every URL or domain entering or leaving responses [36].

Citation architecture changes: Anthropic reports Brand Radar does not offer explicit citation architecture or URL-to-domain retrieval pattern tracking beyond listing cited sources, and lacks sentiment analysis or tone shift detection [44]. Kimi reports no Ahrefs source documents citation-architecture monitoring or automated remediation suggestions for lost AI citations [45].

Preserved research snapshots: Custom Prompt data can be accessed through a Brand Radar report and API endpoints [40]. Ahrefs documents Brand Radar prompt-management APIs and states that pulling custom-prompt data through the API does not consume API units [46]. One independent review states Ahrefs stores raw AI responses searchable by brand, competitor, or topic without prior project setup [37]. OpenAI states the reviewed public sources do not clearly confirm versioned, immutable snapshots of complete AI responses and cited-source sets [40].

Location and personalization: Custom Prompts support location selection, and Ahrefs says prompts run without stored user data, prior context, normalization, personalization, pre-prompting, or filtering [39]. This improves repeatability but may not represent logged-in or personalized AI experiences [39].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Ahrefs Brand Radar cost per month, and are there setup or cancellation fees?
  • What is the cheapest Ahrefs configuration for historical AI citation tracking?

Pricing has two layers: an Ahrefs subscription for included Custom Prompt capacity, plus optional Brand Radar AI or Custom Prompt packages. Ahrefs publishes current plan, Brand Radar, Custom Prompt package, historical-data, prompt-limit, and overage pricing details [47].

Base plans: Lite is $129/month with 5 tracked daily prompts and 150 checks/month; Standard is $249/month with 10 daily prompts and 300 checks; Advanced is $449/month with 20 daily prompts and 600 checks [49]. Google reports an Enterprise tier at $1,499/month [50].

Brand Radar: Brand Radar AI starts at $199/month per index; the all-platform option is listed at $699/month and includes 2,500 custom-prompt checks/month [49]. Ahrefs states Brand Radar can be purchased monthly, with an exception described for Enterprise annual purchasing [49].

Custom Prompt packages: Basic is $50/month for 2,500 checks; Growth is $100/month for 7,000 checks; Scale is $250/month for 25,000 checks [49]. Custom Prompt overage is listed as $0.020/check for Basic, $0.015/check for Growth, and $0.010/check for Scale [49].

Additional fees: Additional Ahrefs users cost extra on paid plans [49]. One independent review reports a per-user seat surcharge of $300/month if team size exceeds one seat [53]. Another reports extra users at $40/month each [54]. These figures conflict and should be confirmed at checkout.

Pricing conflicts: OpenAI notes the pricing page and Brand Radar materials present different packaging views, and the applicable package depends on selected platforms and account configuration [49]. Perplexity notes public pricing is inconsistent across pages and third-party coverage, so the exact minimum effective monthly cost is not fully settled [55]. Kimi reports a Lite plan at approximately $99/month, labeled platform-reported and unverified [59].

Contract terms: The reviewed sources do not fully specify cancellation timing, refunds, data deletion, or post-cancellation access to historical reports [49]. Google states Ahrefs explicitly does not offer free trials [50].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Ahrefs Brand Radar for historical AI citation tracking?

Ahrefs is best suited for SEO and content teams tracking AI citations, cited domains, cited URLs, competitor movement, and prompt-level visibility over time [60]. It fits buyers wanting both broad, search-backed AI visibility data and focused tracking of business-critical prompts [60]. It also fits organizations already using Ahrefs that can accept plan limits, monthly add-ons, and usage-based prompt checks [60].

Anthropic adds that it suits teams already using Ahrefs for SEO seeking integrated AI visibility tracking without switching platforms, organizations needing retroactive AI citation history from before their monitoring start date, and enterprises analyzing Google AI Overviews specifically [61]. Google notes it suits large-scale competitive benchmarking of AI share of voice and tracing offsite cited domains and page-level reference sources [64].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Ahrefs Brand Radar for historical AI citation tracking?

Buyers requiring a clearly documented, exportable archive of every historical AI response and citation state are not well served [66]. High-volume monitoring across many prompts, platforms, locations, and frequent refreshes without usage-based overage costs is a poor match [66]. Teams needing guaranteed coverage of login-gated, personalized, or non-public AI experiences should look elsewhere [66].

Anthropic adds that Brand Radar is not suited for real-time AI reputation monitoring, high-precision citation counting for individual brands, standalone AEO programs not using traditional SEO tools, agencies managing 10+ client domains on a single budget, teams needing sentiment analysis, and multilingual global visibility tracking [67]. Kimi rates Ahrefs a weak fit for buyers requiring prompt-level citation history with preserved snapshots, citation share-of-voice per URL, or automated competitor replacement detection [70].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Ahrefs for a buyer who needs preserved AI citation snapshots?
  • When should a buyer choose a standalone AI citation tool instead of Ahrefs Brand Radar?

Choose a platform with explicit raw-response archiving, snapshot versioning, and documented retention SLAs when evidentiary historical reconstruction is the primary requirement [72]. Choose a higher-volume specialist when the buyer needs hundreds or thousands of prompts checked frequently across many locations and platforms with predictable all-in pricing [72]. Choose a platform with first-party authenticated or personalized-session monitoring when the buyer needs logged-in user experiences [72].

Anthropic names Mersel AI ($1,800/mo) for real-time AI reputation monitoring with execution, Peec AI for accuracy-focused gap analysis and 115+ languages, Otterly AI ($29/month base) for lower-cost entry with sentiment analysis, and Profound for enterprise dashboards with live tracking and sentiment alerts [73]. Kimi names Trakkr and Vercite for historical citation forensics with first-seen/last-seen tracking, OmniSEO and Trakkr for prompt-level trend databases across 5+ engines, Presenc and CiteTrack for page-level citation share-of-voice and competitor replacement alerting, and Cited at $19/mo for budget-conscious startups [75].

These alternatives are named by the platforms that supplied them. Their capabilities and prices were not independently validated for this review.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Ahrefs before signing a contract for historical citation tracking?

Ask how many months or years of citation-level history are retained for each plan and add-on [81]. Ask whether complete raw AI responses, cited URLs, citation positions, timestamps, platform, location, and prompt versions can be exported [81]. Ask whether historical results are immutable or whether backfilled data and methodology changes can alter prior reports [81]. Ask whether a native source-gain/source-loss or citation-architecture change report exists at URL and domain level [81]. Ask which exact AI platforms, models, locations, and response modes are included in the quoted package [81]. Ask about the current status and billing treatment of Grok tracking [81]. Ask how platform outages, changed answer formats, citations omitted by the model, and duplicate citations are handled [81]. Ask about cancellation, refund, data-retention, and post-cancellation export policies [81]. Ask whether the API can retrieve historical citation records and raw responses without consuming additional units or requiring a separate license [81]. Ask what total monthly cost applies for the buyer's prompt count, platform count, locations, refresh cadence, users, exports, and expected overage [81].

Anthropic adds questions about the exact historical depth of the prompt index, whether exports include raw response text and metadata, the published SLA for ChatGPT and Perplexity index freshness, whether Custom Prompts can be backfilled to historical indexes, and whether the $0.020/check overage rate is locked or subject to change [82]. Perplexity adds questions about the exact minimum plan required, whether Lite is sufficient for Custom Prompts, and what retention period and audit features are available [84].

Final AI Consensus Verdict

Ahrefs is a qualified but mixed fit for AI Citation Platforms for Historical Citation Tracking. Three of seven platforms named it during ranking discovery, with an average listed rank of 4.0 and a best rank of 1. Fit ratings split: OpenAI and Google rated it good, Anthropic, DeepSeek, Grok, and Perplexity rated it mixed, and Kimi rated it weak.

The strongest case for Ahrefs is breadth plus retroactive history. Brand Radar covers major AI answer platforms, supports Custom Prompts with location and frequency controls, and integrates with an existing Ahrefs SEO workflow [86]. Independent reviews describe it as a strong AI visibility research database [89].

The strongest case against is evidentiary depth. Public documentation does not clearly guarantee immutable snapshots, complete raw-response retention, or a dedicated citation-architecture change log [86]. One independent test reported substantial under-reporting of mentions [92], while another found Google AI Overviews tracking realistic [93]. Buyers whose primary requirement is audit-grade historical reconstruction should verify retention, export, and accuracy behavior before purchase.

How This Review Was Produced

This review evaluates Ahrefs only for the use case of AI Citation Platforms for Historical Citation Tracking. It draws on fit-research responses from seven platforms: OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi. Each platform assessed Ahrefs against the same criteria: historical domain and URL citations, prompt-level trends, competitor movement, source gains and losses, citation architecture changes, and preserved research snapshots.

The study date is 2026-09-17. Platform-reported research dates differ: DeepSeek reported 2026-06-01, while the other six platforms reported 2026-09-17. Those dates are provenance metadata and do not independently prove freshness.

Ranking statistics reflect only platforms that named Ahrefs during ranking discovery. All seven platforms evaluated fit, but platform mentions count only the three that named the entity. This review is part of a broader comparison of AI Citation Platforms for Historical Citation Tracking, and it sits within the wider category of ai citation authority building.

Methodology Limitations

Several limitations apply. Company-owned citations materially outnumber independent citations in the supplied evidence, so company claims should not be read as independently verified. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

The deterministic identity audit found that official-site retrieval failed for one or more mentions, that one or more fetched domains were not corroborated by brand-name or site-identity metadata, and that identity used exact-name fallback with an unverified domain match. The official fact-source page for ahrefs.com returned a status of unavailable because the HTML exceeded the size limit, so no official-page excerpts were available for verification.

Platform-reported research dates differ from the authoritative run date. DeepSeek's research ran without search enabled, so its claims require explicit verification before being described as current facts. Pricing figures conflict across sources, including per-user seat costs and the minimum effective monthly cost. Grok availability conflicts across Ahrefs' own pages. No platform supplied a documented retention SLA or immutable snapshot guarantee.

From the index

Compare the adjacent findings before forming a view.

Sources

Company-Owned Sources

  • Ahrefs official site (feature details unverified in retrieved sources: https://ahrefs.com/
  • Introduction to Brand Radar - Ahrefs: https://ahrefs.com/academy/how-to-use-brand-radar/intro
  • Free AI Visibility Checker by Ahrefs: Track Your Brand in AI search: https://ahrefs.com/ai-visibility-checker
  • Ahrefs Backlink Checker / Site Explorer: https://ahrefs.com/backlink-checker
  • Ahrefs Pricing: How to Choose the Right Ahrefs Plan: https://ahrefs.com/blog/ahrefs-pricing/
  • Ahrefs Brand Radar Methodology: How we collect and model AI: https://ahrefs.com/blog/brand-radar-methodology/
  • Grok in Brand Radar, higher API limits, and more (April 2026: https://ahrefs.com/blog/new-features-apr-2026/
  • Ahrefs Brand Radar: See ANY brand’s AI visibility: https://ahrefs.com/brand-radar
  • Brand Radar: https://ahrefs.com/brand-radar?trk=test
  • Ahrefs Custom Prompts | Get AI visibility for targeted questions: https://ahrefs.com/custom-prompts
  • Plans & Pricing: https://ahrefs.com/pricing
  • Cited: Know when AI cites you: https://cited.cc/
  • Track AI Citations: See If ChatGPT, Perplexity & Gemini Cite You | CiteTrack AI: https://citetrackai.com/features/track-ai-citations/
  • Brand Radar prompts API: https://docs.ahrefs.com/en/api/reference/management/post-brand-radar-prompts
  • About Brand Radar | Help Center - Ahrefs: https://help.ahrefs.com/en/articles/11064852-about-brand-radar
  • What is Brand Radar, and how to use it?: https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it
  • How to set up custom prompts to track brand visibility in AI assistants: https://help.ahrefs.com/en/articles/13192745-how-to-set-up-custom-prompts-to-track-brand-visibility-in-ai-assistants
  • AI Visibility Metrics: https://help.ahrefs.com/en/articles/15501968-ai-visibility-metrics
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  • Additional AI research evidence93 records
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    2. AI research evidence record openai:c2
    3. AI research evidence record openai:c3
    4. AI research evidence record openai:c4
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    6. AI research evidence record anthropic:6-1
    7. AI research evidence record anthropic:31-9
    8. AI research evidence record openai:c1
    9. AI research evidence record openai:c4
    10. AI research evidence record perplexity:c11
    11. AI research evidence record anthropic:1-9
    12. AI research evidence record perplexity:c12
    13. AI research evidence record anthropic:5-1
    14. AI research evidence record openai:c5
    15. AI research evidence record anthropic:32-1
    16. AI research evidence record anthropic:7-4
    17. AI research evidence record anthropic:38-4
    18. AI research evidence record anthropic:28-3
    19. AI research evidence record anthropic:45-4
    20. AI research evidence record openai:c1
    21. AI research evidence record perplexity:c3
    22. AI research evidence record perplexity:c11
    23. AI research evidence record perplexity:c12
    24. AI research evidence record deepseek:c3
    25. AI research evidence record openai:c5
    26. AI research evidence record google:ahrefs_profound_review_2026
    27. AI research evidence record grok:web:0
    28. AI research evidence record grok:web:1
    29. AI research evidence record anthropic:5-1
    30. AI research evidence record kimi:trakkr_citation
    31. AI research evidence record kimi:presenc_citation
    32. AI research evidence record anthropic:33-5
    33. AI research evidence record anthropic:29-8
    34. AI research evidence record google:ahrefs_brand_radar_features
    35. AI research evidence record google:ahrefs_brand_radar_guide
    36. AI research evidence record openai:c2
    37. AI research evidence record anthropic:6-1
    38. AI research evidence record deepseek:c1
    39. AI research evidence record openai:c1
    40. AI research evidence record openai:c4
    41. AI research evidence record openai:c3
    42. AI research evidence record perplexity:c12
    43. AI research evidence record openai:c5
    44. AI research evidence record anthropic:38-19
    45. AI research evidence record kimi:presenc_citation
    46. AI research evidence record openai:c6
    47. AI research evidence record openai:c7
    48. AI research evidence record perplexity:c1
    49. AI research evidence record openai:c4
    50. AI research evidence record google:ahrefs_profound_review_2026
    51. AI research evidence record perplexity:c3
    52. AI research evidence record perplexity:c4
    53. AI research evidence record anthropic:16-5
    54. AI research evidence record grok:web:10
    55. AI research evidence record perplexity:c2
    56. AI research evidence record perplexity:c5
    57. AI research evidence record perplexity:c6
    58. AI research evidence record perplexity:c15
    59. AI research evidence record kimi:ahrefs_custom_prompts_unclear
    60. AI research evidence record openai:c1
    61. AI research evidence record anthropic:1-1
    62. AI research evidence record anthropic:5-1
    63. AI research evidence record anthropic:45-4
    64. AI research evidence record google:ahrefs_brand_radar_landing
    65. AI research evidence record google:ahrefs_brand_radar_guide
    66. AI research evidence record openai:c1
    67. AI research evidence record anthropic:28-3
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    69. AI research evidence record anthropic:38-19
    70. AI research evidence record kimi:presenc_citation
    71. AI research evidence record kimi:citetrack_citation
    72. AI research evidence record openai:c1
    73. AI research evidence record anthropic:28-3
    74. AI research evidence record anthropic:38-19
    75. AI research evidence record kimi:trakkr_citation
    76. AI research evidence record kimi:vercite_citation
    77. AI research evidence record kimi:omniseo_citation
    78. AI research evidence record kimi:presenc_citation
    79. AI research evidence record kimi:citetrack_citation
    80. AI research evidence record kimi:cited_cc
    81. AI research evidence record openai:c1
    82. AI research evidence record anthropic:16-5
    83. AI research evidence record anthropic:33-5
    84. AI research evidence record perplexity:c3
    85. AI research evidence record perplexity:c4
    86. AI research evidence record openai:c1
    87. AI research evidence record openai:c2
    88. AI research evidence record openai:c3
    89. AI research evidence record anthropic:31-9
    90. AI research evidence record perplexity:c3
    91. AI research evidence record deepseek:c3
    92. AI research evidence record anthropic:28-3
    93. AI research evidence record anthropic:45-4

Independent Sources

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  • Mersel AI vs Ahrefs Brand Radar (2026): Pricing, Features & Honest Comparison: https://www.mersel.ai/blog/mersel-vs-ahrefs-brand-radar
  • Additional AI research evidence93 records
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    2. AI research evidence record openai:c2
    3. AI research evidence record openai:c3
    4. AI research evidence record openai:c4
    5. AI research evidence record anthropic:1-1
    6. AI research evidence record anthropic:6-1
    7. AI research evidence record anthropic:31-9
    8. AI research evidence record openai:c1
    9. AI research evidence record openai:c4
    10. AI research evidence record perplexity:c11
    11. AI research evidence record anthropic:1-9
    12. AI research evidence record perplexity:c12
    13. AI research evidence record anthropic:5-1
    14. AI research evidence record openai:c5
    15. AI research evidence record anthropic:32-1
    16. AI research evidence record anthropic:7-4
    17. AI research evidence record anthropic:38-4
    18. AI research evidence record anthropic:28-3
    19. AI research evidence record anthropic:45-4
    20. AI research evidence record openai:c1
    21. AI research evidence record perplexity:c3
    22. AI research evidence record perplexity:c11
    23. AI research evidence record perplexity:c12
    24. AI research evidence record deepseek:c3
    25. AI research evidence record openai:c5
    26. AI research evidence record google:ahrefs_profound_review_2026
    27. AI research evidence record grok:web:0
    28. AI research evidence record grok:web:1
    29. AI research evidence record anthropic:5-1
    30. AI research evidence record kimi:trakkr_citation
    31. AI research evidence record kimi:presenc_citation
    32. AI research evidence record anthropic:33-5
    33. AI research evidence record anthropic:29-8
    34. AI research evidence record google:ahrefs_brand_radar_features
    35. AI research evidence record google:ahrefs_brand_radar_guide
    36. AI research evidence record openai:c2
    37. AI research evidence record anthropic:6-1
    38. AI research evidence record deepseek:c1
    39. AI research evidence record openai:c1
    40. AI research evidence record openai:c4
    41. AI research evidence record openai:c3
    42. AI research evidence record perplexity:c12
    43. AI research evidence record openai:c5
    44. AI research evidence record anthropic:38-19
    45. AI research evidence record kimi:presenc_citation
    46. AI research evidence record openai:c6
    47. AI research evidence record openai:c7
    48. AI research evidence record perplexity:c1
    49. AI research evidence record openai:c4
    50. AI research evidence record google:ahrefs_profound_review_2026
    51. AI research evidence record perplexity:c3
    52. AI research evidence record perplexity:c4
    53. AI research evidence record anthropic:16-5
    54. AI research evidence record grok:web:10
    55. AI research evidence record perplexity:c2
    56. AI research evidence record perplexity:c5
    57. AI research evidence record perplexity:c6
    58. AI research evidence record perplexity:c15
    59. AI research evidence record kimi:ahrefs_custom_prompts_unclear
    60. AI research evidence record openai:c1
    61. AI research evidence record anthropic:1-1
    62. AI research evidence record anthropic:5-1
    63. AI research evidence record anthropic:45-4
    64. AI research evidence record google:ahrefs_brand_radar_landing
    65. AI research evidence record google:ahrefs_brand_radar_guide
    66. AI research evidence record openai:c1
    67. AI research evidence record anthropic:28-3
    68. AI research evidence record anthropic:33-5
    69. AI research evidence record anthropic:38-19
    70. AI research evidence record kimi:presenc_citation
    71. AI research evidence record kimi:citetrack_citation
    72. AI research evidence record openai:c1
    73. AI research evidence record anthropic:28-3
    74. AI research evidence record anthropic:38-19
    75. AI research evidence record kimi:trakkr_citation
    76. AI research evidence record kimi:vercite_citation
    77. AI research evidence record kimi:omniseo_citation
    78. AI research evidence record kimi:presenc_citation
    79. AI research evidence record kimi:citetrack_citation
    80. AI research evidence record kimi:cited_cc
    81. AI research evidence record openai:c1
    82. AI research evidence record anthropic:16-5
    83. AI research evidence record anthropic:33-5
    84. AI research evidence record perplexity:c3
    85. AI research evidence record perplexity:c4
    86. AI research evidence record openai:c1
    87. AI research evidence record openai:c2
    88. AI research evidence record openai:c3
    89. AI research evidence record anthropic:31-9
    90. AI research evidence record perplexity:c3
    91. AI research evidence record deepseek:c3
    92. AI research evidence record anthropic:28-3
    93. AI research evidence record anthropic:45-4

Verify this research

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

Study date
September 17, 2026
Platforms analyzed
7
Source records
36
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#3

Research trail and source mix

Configured platforms

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

Source mix

13 independent · 23 company-owned

Evidence support

30 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 f003df91a313773d8c0355bd8d7283b7a3558ec5197832aec19497f6927ae8ce