Answer Capsule
Ahrefs is a good-to-strong fit for competitor citation analysis, but only under specific conditions. Four of seven platforms named Ahrefs during the ranking stage, and fit ratings split between "strong" (openai, grok), "good" (anthropic, deepseek, google), and "mixed" (kimi, perplexity). The strongest reason to consider it is Brand Radar's cited-domain and cited-page reporting combined with Ahrefs' own backlink and authority data, which lets buyers judge why a competitor's source earned a citation. The main limitation is cost and packaging: Brand Radar is widely reported at $199/month per AI index or $699/month for all platforms, with conflicting evidence about whether a paid base Ahrefs plan is also required.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 4 of 7 platforms (deepseek, google, openai, perplexity) |
| Share of included platform responses | 57.1% |
| Average listed rank | 6.0 |
| Best listed rank | 3 (openai) |
| Relevant product/model/plan | Ahrefs Brand Radar / AI visibility features; single-platform access at $199/month, all-platform access at $699/month |
| Overall use-case fit | Good to strong for citation discovery and competitor benchmarking; mixed for deep citation-architecture reverse-engineering |
| Research date | 2026-09-19 |
Why Ahrefs Qualified for This Study
Questions This Section Answers
- Is Ahrefs a good choice for AI Visibility Platforms for Competitor Citation Analysis?
- Why did only 4 of 7 AI platforms name Ahrefs during the ranking stage?
Ahrefs qualified because four of the seven included platforms named it during ranking discovery, and every platform that evaluated it agreed Brand Radar addresses competitor citation tracking in some form. The four naming platforms were deepseek, google, openai, and perplexity, giving Ahrefs a 57.1% share of included platform responses and an average listed rank of 6.0, with a best rank of 3 from openai.
Qualification was not unanimous. Anthropic, grok, and kimi evaluated Ahrefs for fit but did not name it in the ranking stage, so their fit ratings (good, strong, and mixed respectively) reflect product-level assessment rather than ranking placement. That distinction matters: a platform can rate a product as a strong fit while still recommending other tools ahead of it.
The identity audit also flagged that official-site retrieval failed for one or more mentions during normalization, and the matching domain was retained but remains unverified. Buyers should treat the entity match as reported rather than independently confirmed.
The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Competitor Citation Analysis
Questions This Section Answers
- Which Ahrefs product should a buyer choose for competitor citation analysis?
- Does Ahrefs Brand Radar show which domains and pages are cited for each brand?
The relevant offering is Ahrefs Brand Radar, sold as single-platform access at $199/month per AI index or all-platform access at $699/month [1]. Brand Radar is the module that tracks brand mentions, citations, cited domains, cited pages, AI Share of Voice, and estimated impressions across AI answer platforms [4].
For competitor citation analysis specifically, the cited-domain and cited-page reports are the core feature. Independent review coverage describes these reports as separating owned, competitor, media, community, review, marketplace, and documentation sources [7], and as identifying specific pages that repeatedly support competing brands [8]. Ahrefs' own documentation states the product exposes cited pages, cited domains, citation-containing queries, AI responses, and competitor citation gaps [4].
Platform coverage is reported inconsistently. Ahrefs materials describe Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot, with Grok added in an April 2026 update [11]. Independent reviews list six indexes including Google AI Mode [13]. Claude tracking is described as custom-prompt-only in one independent review and as not natively tracked in another [15].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Ahrefs Brand Radar does well for competitor citation analysis?
- Is Ahrefs Brand Radar strong at identifying cited domains and pages?
Platforms broadly agreed on three capabilities. First, cited-domain and cited-page identification: openai, anthropic, grok, and google all described Brand Radar as exposing which domains and pages AI answers cite for a brand and its competitors [17]. Second, competitor benchmarking: platforms agreed Brand Radar compares mentions, citations, and AI Share of Voice across brands [17]. Third, integration with Ahrefs' SEO data: independent reviews and platform findings both noted that cited sources can be cross-referenced with backlink profiles, domain authority, and organic traffic inside the same platform [24].
The prompt corpus was also a point of agreement. Ahrefs reports running hundreds of millions of search-backed prompts derived from its keyword database rather than synthetic questions [27]. Independent coverage repeats this framing [30].
Agreement here reflects consistent platform reporting, not verified product performance. Company-owned citations materially outnumber independent ones in this study, and no platform independently tested Brand Radar's citation accuracy.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Where do AI platforms disagree about Ahrefs Brand Radar for competitor citation analysis?
- Is Ahrefs Brand Radar's pricing and packaging clear enough to buy without verification?
Disagreement clustered around three areas. Fit ratings split: openai and grok rated Ahrefs a strong fit, anthropic, deepseek, and google rated it good, and kimi and perplexity rated it mixed. Kimi's assessment was the most critical, stating Brand Radar lacks advertised capability to reverse-engineer which specific pages earn competitor citations and does not classify mentions by recommendation context [31]. Perplexity reached a similar conclusion from a different angle, describing public evidence as insufficient to verify deep source-level citation analysis [34].
Pricing and packaging produced the sharpest conflicts. Ahrefs' own materials list $199/month single-platform and $699/month all-platform [36], but one Ahrefs product page reportedly shows a $398/month entry point. Independent reviews state an active base Ahrefs plan is required on top of Brand Radar [38], while Ahrefs' pricing page describes Brand Radar as available standalone [40]. One independent review calculated a minimum effective cost above $328/month for a single index [41], and another cited roughly $828/month for full coverage [42].
Prompt-count figures also conflict across Ahrefs pages, with 405 million, 454 million, 455 million, 456 million, and 475 million-plus all appearing in supplied materials [43]. These likely reflect different pages or update dates, but the current figure should be confirmed at purchase.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Can Ahrefs Brand Radar show which sources influence AI recommendations for competitors?
- Does Ahrefs Brand Radar identify citation gaps where competitors are cited but your brand is not?
Brand Radar's competitor citation workflow rests on four report types. The Cited Domains and Cited Pages reports show which sources AI answers reference for each brand [46]. The AI Responses report shows how each brand is mentioned in AI-generated answers and can be filtered to competing brands only [48]. The AI Share of Voice metric aggregates citation presence across indexed platforms for side-by-side comparison [50]. Citation-gap filters surface responses where competitors are cited but the buyer's domain is absent [52].
On source influence, the evidence is split. Google's findings state the platform identifies exactly which external domains and landing pages are cited alongside a brand or competitors, highlighting citation architecture differences [53]. Kimi's findings state the opposite: that Brand Radar does not appear to offer detailed reverse-engineering of which specific domains and pages earn competitor citations [55]. Perplexity could not verify source-influence modeling from public documentation [56]. Buyers whose primary need is explaining why one source is cited over another should treat this as unverified.
Authority-gap scoring is similarly unclear. Deepseek's findings state that whether Brand Radar natively ranks or scores authority gaps versus competitors is not clearly documented [58]. Ahrefs' backlink and traffic data can be used manually to judge cited-source strength [60], but that is a workflow, not a scored output.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Ahrefs Brand Radar cost per month for competitor citation analysis?
- Is a base Ahrefs subscription required on top of the Brand Radar add-on?
Published pricing is layered and partially contradictory. Ahrefs' help center and pricing page list single-platform access at $199/month per index and all-platform access at $699/month including 2,500 custom prompt checks per month [62]. Independent reviews repeat those figures [65]. One Ahrefs product page reportedly shows a $398/month entry point, which conflicts with the $199 figure.
Whether a base Ahrefs plan is required is unresolved. Independent reviews state an active base subscription is required, with Lite starting at $129/month [68]. Ahrefs' own pricing page describes Brand Radar as available standalone [64]. One review calculated a minimum effective cost above $328/month for one AI index when a base plan is included [70], and another cited roughly $828/month for full coverage [66].
Additional costs are documented. Custom prompt packages are listed at $50/month for 2,500 checks, $100/month for 7,000 checks, and $250/month for 25,000 checks, with overage rates of $0.020, $0.015, and $0.010 per check respectively [62]. One independent review states a prompt check equals one prompt × one LLM × one location, meaning the 2,500-check baseline can be consumed quickly [71]. YouTube, TikTok, and Reddit visibility tracking is described as free during beta but listed at $199/month after launch [72].
Cancellation terms are partially documented. Ahrefs states subscriptions can be canceled from Account Settings and remain usable through the paid period, and that refunds are generally not issued although unused monthly subscriptions may be eligible for a refund request subject to review [62]. One Ahrefs article states Brand Radar can only be purchased monthly except for Enterprise users who can buy annually [73]. No free trial is officially offered according to one independent review [74].
Best Suited For
Questions This Section Answers
- Who gets the most value from Ahrefs Brand Radar for competitor citation analysis?
- Is Ahrefs Brand Radar worth it for teams already using Ahrefs for SEO?
Ahrefs is best suited to teams already paying for Ahrefs SEO data. Multiple platforms converged on this: the strongest benefit cited by independent reviewers is how well Brand Radar integrates with the Ahrefs suite [75], and one review described the combination of citation view plus Site Explorer as the "killer" workflow for analyzing cited domain authority and backlink profiles [77].
The second fit group is companies comparing their domain and pages against multiple competitor domains across major AI answer platforms. Brand Radar's cited-domain and cited-page reports, AI Share of Voice benchmarking, and citation-gap filters map directly to that task [79].
The third group is SEO-led teams that want AI citation analysis inside an existing keyword, backlink, and content research workflow rather than a separate tool [83]. Buyers who will not use Ahrefs' broader SEO data get less from the bundle, since the incremental value of Brand Radar depends partly on that overlap.
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Ahrefs Brand Radar for competitor citation analysis?
- Is Ahrefs Brand Radar a poor fit for agencies managing multiple client domains?
Three buyer profiles are poor fits. The first is buyers needing verified first-party audience, impression, click, conversion, or revenue measurement from AI platforms. Ahrefs states that AI Share of Voice and estimated impressions are modeled visibility indicators, not verified audience reach, and that prompts are synthetic or search-backed rather than actual private user queries [84].
The second is teams requiring real-time or daily monitoring. Several chatbot indexes refresh monthly with a 90-day reporting window [84], and one independent review noted that immediate-alert needs may be better served elsewhere [87]. One independent test reported Brand Radar showing 3 ChatGPT mentions versus 123 actual mentions in a live comparison [88], though this is a single third-party test and not independently replicated in this study.
The third is agencies managing multiple client domains. One independent review described the per-domain pricing model as agency-unfriendly and the price as "eye-watering" [89], and another noted that dedicated tools often offer tiered per-domain or shared-account pricing that scales better. Small buyers seeking the lowest-cost standalone AI visibility tracker are also a poor fit given the $199–$699/month range plus possible base-plan cost.
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Ahrefs Brand Radar for a buyer who needs deep competitor citation reverse-engineering?
- When is a cheaper standalone AI visibility tool a better choice than Ahrefs Brand Radar?
Choose a different option when the primary need is deep reverse-engineering of competitor citation architecture. Kimi's findings named GrackerAI GEO Heist, Viali, and Astiva as tools that explicitly advertise this capability, with Viali offering per-query source-level attribution and fix verification [90].
Choose a cheaper standalone tool when budget is the dominant constraint and only one or a few AI platforms matter. Kimi's findings cited Citation Radar at $39–$99/month and Citare Pulse at $35/month, and anthropic's findings cited Peec AI at $95/month and Otterly.AI at $29/month [94]. These are platform-reported prices from vendor or review sources and were not independently verified in this study.
Choose a dedicated platform when Claude or emerging LLM coverage is required. One independent review described the lack of native Claude and Grok tracking as a significant omission at the Brand Radar price point [95], and another stated Claude is custom-prompt-only while Grok data collection may be temporarily paused [96].
Choose an enterprise analytics or data solution when the requirement is verified audience reach, referral traffic, pipeline, or revenue attribution rather than modeled visibility. Ahrefs does not claim to measure those outcomes.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Ahrefs before signing a Brand Radar contract?
- Which Brand Radar plan and add-ons does a buyer need for full competitor citation analysis?
Verify these items directly with Ahrefs before purchase, because supplied evidence conflicts on several of them:
- The exact Brand Radar SKU and entry price for the intended configuration: $199, $398, or $699/month [97].
- Whether the $699/month all-platform option operates standalone or requires a paid Ahrefs base subscription, and whether the Lite plan at $129/month is sufficient [98].
- Which exact AI indexes are included today, including Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, Copilot, and Grok, and the current status of Claude tracking [101].
- How often each index refreshes and what the actual data window is per platform [104].
- Whether custom prompt checks are consumed per prompt, platform, and location, and what overage controls exist [106].
- Whether cited-source data can be exported through the UI or API, and what limits apply to tracked competitors, brands, domains, users, and exports.
- How duplicate URLs, redirects, syndicated content, hallucinated links, and citations to third-party pages about the brand are handled.
- Whether the platform distinguishes recommendation influence from simple brand mention [107].
- What refund, cancellation, annual-commitment, and add-on billing terms apply to the exact order [97].
- The current status and post-beta pricing of YouTube, TikTok, and Reddit visibility tracking [109].
Final AI Consensus Verdict
Ahrefs is a defensible choice for competitor citation analysis when the buyer already uses Ahrefs SEO data and needs cited-domain, cited-page, and AI Share of Voice benchmarking across major AI answer platforms. Four of seven platforms named it during ranking, and fit ratings ranged from strong to mixed, with no platform calling it a poor fit outright.
The case weakens for buyers whose primary need is deep citation-architecture reverse-engineering, real-time monitoring, verified audience measurement, or the lowest total cost. Kimi and perplexity both rated the fit mixed on those grounds, and independent reviews raised accuracy and pricing concerns that company materials do not address.
The purchase decision hinges on two unresolved questions: whether a base Ahrefs plan is required on top of Brand Radar, and which AI indexes are included at the chosen tier. Both should be confirmed in writing before committing. For buyers who clear those two items and will use the broader Ahrefs dataset, Brand Radar adds meaningful citation intelligence at incremental cost. For buyers who will not, dedicated AI visibility tools offer better value.
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms: openai (gpt-5.6-luna), anthropic (claude-haiku-4-5-20251001), google (gemini-3.5-flash), grok (x-ai/grok-4.3), perplexity (perplexity/sonar), deepseek (deepseek-v4-flash), and kimi (moonshotai/kimi-k2.6). Each platform evaluated Ahrefs against the same use case: identifying which domains and pages are cited for each brand, which sources influence recommendations, how competitor citation architecture differs, and where source or authority gaps exist.
Four platforms named Ahrefs during ranking discovery. All seven produced fit assessments. Findings were grouped by agreement level, and conflicts were preserved rather than resolved. No platform independently tested Brand Radar, and no first-party customer data was supplied.
Methodology Limitations
Several limitations apply. Company-owned citations materially outnumber independent citations in this study, so Ahrefs' own claims about capabilities and methodology should not be read as independently verified. Platform-reported research dates differ from the authoritative run date of 2026-09-19; deepseek's research date was 2026-06-11, and deepseek ran without search enabled, meaning its findings rely on model knowledge rather than retrieved evidence.
Official-site retrieval for Ahrefs failed during the audit because the page exceeded the size limit, so no official-page excerpt was available for verification. The identity audit also noted that official-site retrieval failed for one or more mentions during normalization, and the matching domain was retained but remains unverified.
Pricing conflicts were not resolved. Ahrefs' public materials disagree on entry price, prompt counts, and whether Brand Radar requires a base plan. Independent reviews disagree on the same points. Buyers should treat all pricing in this review as reported rather than confirmed.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. No platform in this study performed hands-on testing of Brand Radar.
See the broader AI Visibility Platforms for Competitor Citation Analysis consensus index for comparisons across qualified options.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
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- Update: 38% of AI Overview Citations Pull From The Top 10: https://ahrefs.com/blog/ai-overview-citations-top-10/
- How to Compare Your AI Visibility Against Your Competitors: https://ahrefs.com/blog/ai-search-competitor-analysis/
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Additional AI research evidence109 records
- AI research evidence record openai:c7
- AI research evidence record anthropic:37-2
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:24-7
- AI research evidence record grok:0
- AI research evidence record anthropic:4-12
- AI research evidence record anthropic:4-13
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record anthropic:26-14
- AI research evidence record anthropic:34-5
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:3-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-8
- AI research evidence record grok:6
- AI research evidence record google:1.1.5
- AI research evidence record anthropic:5-9
- AI research evidence record grok:0
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:24-3
- AI research evidence record anthropic:26-16
- AI research evidence record grok:1
- AI research evidence record anthropic:26-13
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record kimi:astiva_product
- AI research evidence record kimi:viali_competitive_intelligence
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c14
- AI research evidence record openai:c7
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c8
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:24-3
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record grok:6
- AI research evidence record anthropic:4-12
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:8-6
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:24-7
- AI research evidence record openai:c4
- AI research evidence record google:1.1.5
- AI research evidence record google:1.1.6
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c14
- AI research evidence record deepseek:ahrefs-brand-radar
- AI research evidence record deepseek:ahrefs-brand-radar-pricing
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:6-8
- AI research evidence record openai:c7
- AI research evidence record perplexity:c2
- AI research evidence record openai:c8
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:31-2
- AI research evidence record anthropic:13-2
- AI research evidence record perplexity:c3
- AI research evidence record google:1.2.5
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:13-6
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:6-8
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record grok:6
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:7-11
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record anthropic:26-17
- AI research evidence record anthropic:25-15
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:3-6
- AI research evidence record kimi:gracker_geo_heist
- AI research evidence record kimi:viali_competitive_intelligence
- AI research evidence record kimi:viali_product
- AI research evidence record kimi:astiva_product
- AI research evidence record kimi:citation_radar
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:30-5
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c3
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:3-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:26-17
- AI research evidence record anthropic:31-2
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:13-2
Independent Sources
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- Ahrefs Brand Radar Review 2026: Features, Pricing, and Who It's Really For: https://dageno.ai/blog/ahrefs-brand-radar-review
- Ahrefs Brand Radar Costs: $828/Month Before a Single Article Gets Written: https://mentionwell.com/blog/ahrefs-brand-radar-costs-828-month-before-a-single-article-gets-written
- Ahrefs Brand Radar coverage — Search Engine Land: https://searchengineland.com/library/ahrefs
- 10 Best AI Citation Tracking Tools in 2026: Ranked & Compared: https://slatehq.com/blog/best-ai-citation-tracking-tools
- Ahrefs Pricing and Brand Radar Costs in 2026 - Trakkr: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEd-IU6CR3JlFhmu4vQBg-0vZlsOn2LALjpitkasYsO_j0cTvMq-Fcn8F_BcYb6d3MTunvG83HG4RCkfTHLODj7hcB4kze-ebLpJ_yxpCBoJDzmDTjjFjyAxlEWnLpolRnBuA14qg==
- Ahrefs Brand Radar Review 2026: Features, Pricing, Verdict - Layer3Labs: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEIM6sa1TYvIe7BaIBsTqZ1Y7qir9cfOM1wllZ2fvlBkbtGq5HQlXB9wPbD0EU1qdsFn8lSKpP3SK-80uq1pGHF5f4CK3g28mxzC-5dhAXXbAafdw49B7OjDlMjsGnSgstOQkv-gAYvPuEo5SS3QNxr
- Ahrefs Brand Radar Review (2026): Good for SEO Teams, Not Enough for AEO - Profound: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHHF1j_DOIuxpDLZINgPIL9H7w5ANM2EaEVDSySZNzb8TPqSPBTnU0AztF6ADIgZayIYJcfmcR-ykL--EaSslHC_7VIZfAEnHK6Hdcr0-Pcg8FXMvUjmk0AHAaQx_AcQxvAHU5UdPLK4DACvnrLacIK
- Ahrefs for AI Visibility: Brand Radar Review & What It St: https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQHRI_WnSlg226hdfCpOLbcYqOZLop1MTcKvGMBBtOaOuvKaB_SYNaxnNnXHrq6a5NBZbmXuFzGLVtAjwiNXNAwWGwxCKp2mEo-hac20UEC5wwmL7xw29KsxYR9t_FP-Q_etspD_YsX9Y7ikO3hhHlbxQE8mRO7IkvSKbEjVKQJ6tbGnsS8smTnRdXuB834pVAGFPKu28bFJBzIMopU_1g==
- Ahrefs Brand Radar Review (2026): Pricing, Features, and the Real Cost of Full Coverage: https://www.aeolabs.ai/blog/ahrefs-brand-radar-review
- Best AI Citation Tracking Tools in 2026: 6 Tools Compared: https://www.analyticsinsight.net/artificial-intelligence/best-ai-citation-tracking-tools-in-2026
- What is Ahrefs Brand Radar? SEO & AI Visibility Platform - Ansvisor: https://www.ansvisor.com/ai-visibility-glossary/ahrefs-brand-radar
- Ahrefs for AI Visibility: Brand Radar Review & What It Still Can't Track 2026: https://www.ekamoira.com/blog/ahrefs-for-ai-visibility-brand-radar-review-what-it-still-can-t-track-2026
- Ahrefs Brand Radar Alternatives & Review: Is It Worth It? (2026: https://www.ewrdigital.com/blog/ahrefs-brand-radar-review-alternatives-pricing-comparison
- Ahrefs Brand Radar Review 2026: Features, Pricing, Verdict: https://www.layer3labs.io/guides/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
- Best Citation Analysis Options for Optimizing AI Search in 2026: https://www.useomnia.com/blog/best-citation-analysis-options-optimizing-ai-search
Additional AI research evidence109 records
- AI research evidence record openai:c7
- AI research evidence record anthropic:37-2
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record anthropic:24-7
- AI research evidence record grok:0
- AI research evidence record anthropic:4-12
- AI research evidence record anthropic:4-13
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record anthropic:26-14
- AI research evidence record anthropic:34-5
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:3-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:4-8
- AI research evidence record grok:6
- AI research evidence record google:1.1.5
- AI research evidence record anthropic:5-9
- AI research evidence record grok:0
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:6-8
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:24-3
- AI research evidence record anthropic:26-16
- AI research evidence record grok:1
- AI research evidence record anthropic:26-13
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record kimi:astiva_product
- AI research evidence record kimi:viali_competitive_intelligence
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c14
- AI research evidence record openai:c7
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c8
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:24-3
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record grok:6
- AI research evidence record anthropic:4-12
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:8-6
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:24-7
- AI research evidence record openai:c4
- AI research evidence record google:1.1.5
- AI research evidence record google:1.1.6
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record perplexity:c12
- AI research evidence record perplexity:c14
- AI research evidence record deepseek:ahrefs-brand-radar
- AI research evidence record deepseek:ahrefs-brand-radar-pricing
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:6-8
- AI research evidence record openai:c7
- AI research evidence record perplexity:c2
- AI research evidence record openai:c8
- AI research evidence record anthropic:11-1
- AI research evidence record anthropic:34-1
- AI research evidence record anthropic:27-9
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:12-2
- AI research evidence record anthropic:16-2
- AI research evidence record anthropic:31-2
- AI research evidence record anthropic:13-2
- AI research evidence record perplexity:c3
- AI research evidence record google:1.2.5
- AI research evidence record anthropic:13-5
- AI research evidence record anthropic:13-6
- AI research evidence record anthropic:6-7
- AI research evidence record anthropic:6-8
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record grok:6
- AI research evidence record anthropic:5-9
- AI research evidence record anthropic:7-11
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record anthropic:26-17
- AI research evidence record anthropic:25-15
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:3-6
- AI research evidence record kimi:gracker_geo_heist
- AI research evidence record kimi:viali_competitive_intelligence
- AI research evidence record kimi:viali_product
- AI research evidence record kimi:astiva_product
- AI research evidence record kimi:citation_radar
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:30-5
- AI research evidence record openai:c7
- AI research evidence record openai:c8
- AI research evidence record anthropic:11-2
- AI research evidence record anthropic:12-2
- AI research evidence record openai:c3
- AI research evidence record anthropic:30-5
- AI research evidence record anthropic:3-1
- AI research evidence record openai:c2
- AI research evidence record anthropic:26-17
- AI research evidence record anthropic:31-2
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:13-2
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
- 47
- Ranking mentions
- 4 of 7
- Platform share
- 57%
- Final consensus rank
- #5
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
18 independent · 29 company-owned
Evidence support
45 direct · 2 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 6318bd73eed26b1d89a4060a4932d362d6629ea265cb47874b7ffcb4ad39e1b9