Answer Capsule
Ahrefs Brand Radar is a qualified fit for AI Citation Solutions for Competitive Citation Analysis, but the fit is contested. Four of six platforms named it during the ranking stage (deepseek, grok, kimi, perplexity), and only one platform (openai) rated it a "good" fit; four rated it "mixed" and one rated it "weak." The strongest reason to consider it is direct cited-domain and cited-page reporting tied to competitor benchmarking inside the Ahrefs SEO ecosystem [1]. The main limitation is that no platform found public evidence of automated source-overlap matrices, competitor citation-architecture mapping, or authority-gap prioritization, and independent reviews report accuracy and pricing conflicts [4].
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 4 of 6 included platforms (deepseek, grok, kimi, perplexity) |
| Share of included platform responses | 66.7% |
| Average listed rank | 5.25 |
| Best listed rank | 1 (deepseek) |
| Relevant product/model/plan | Brand Radar AI Visibility Index / AI add-on, optionally combined with Custom Prompts and the Ahrefs SEO suite |
| Overall use-case fit | Mixed across platforms; one "good," four "mixed," one "weak" |
| Research date | 2026-09-17 |
Why Ahrefs Brand Radar Qualified for This Study
Questions This Section Answers
- Why did Ahrefs Brand Radar qualify for this competitive citation analysis study when only four of six platforms named it?
- Is Ahrefs Brand Radar a legitimate contender for AI Citation Solutions for Competitive Citation Analysis, or just an SEO suite add-on?
Ahrefs Brand Radar qualified because it cleared the study's minimum-mention threshold and was named by four of the six included platforms during ranking discovery (deepseek, grok, kimi, perplexity). It ranked first on deepseek, fourth on grok, sixth on perplexity, and tenth on kimi, producing an average listed rank of 5.25 and a best rank of 1.
Qualification is not the same as endorsement. Fit ratings split sharply: openai rated Brand Radar a "good" fit, anthropic, deepseek, grok, and perplexity rated it "mixed," and kimi rated it "weak." That distribution is the central finding of this review.
Brand Radar is an add-on to the Ahrefs SEO platform rather than a standalone citation-intelligence product. Ahrefs documents it as tracking brand mentions, cited pages, and cited domains inside AI answers, with competitor comparison available in-dashboard [8]. Third-party coverage describes Ahrefs primarily as an SEO and backlink suite with newer AI-search features rather than a dedicated AI citation-analysis tool [10].
The deterministic identity audit notes that official-site retrieval failed for the canonical domain and that the exact-name fallback and domain identity were not independently verified. Buyers should treat the entity match as platform-reported rather than confirmed.
The Product, Model, Plan, or Service Most Relevant to AI Citation Solutions for Competitive Citation Analysis
Questions This Section Answers
- Which Ahrefs Brand Radar plan or add-on should a buyer choose for competitive citation analysis across multiple AI platforms?
- Does Ahrefs Brand Radar require a base Ahrefs subscription in addition to the Brand Radar add-on?
The relevant configuration is the Brand Radar AI Visibility Index or AI add-on, optionally combined with Custom Prompts and a base Ahrefs subscription. Platforms described the same product family with slightly different labels: openai called it the "Brand Radar AI Visibility Index / AI add-on," anthropic described "Brand Radar AI indexes ($199/month per platform or $699/month all platforms)," and perplexity described a "Brand Radar add-on / AI visibility add-on" [11].
Ahrefs documents Brand Radar as covering cited pages and cited domains, supported AI platforms, custom prompts, data-collection methodology, API access, and pricing requirements [11]. The product page positions it for benchmarking competitors, finding valuable AI citations, and tracking AI visibility across a large prompt corpus [14].
Documented platform coverage includes Google AI Overviews and AI Mode, ChatGPT, Perplexity, Gemini, Copilot, Grok, and Claude custom prompts, with YouTube, Reddit, and TikTok indexes described as beta or supplementary channels [11]. Independent reviews as of 2026 describe coverage as ChatGPT, Perplexity, Google AI Overviews, and Gemini, and one review states Claude is not tracked natively [15]. This is a direct conflict between company-owned and independent sources.
Custom Prompts is a separate usage mode from the indexed prompt corpus, with its own pricing and check consumption [17]. A custom-prompt check is one prompt execution multiplied by one language model and one location, and Claude consumes eight checks per update [17].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Ahrefs Brand Radar does well for competitive citation analysis?
- Does Ahrefs Brand Radar show which specific domains and URLs competitors are cited from in AI answers?
Platforms broadly agreed on three capabilities.
First, cited-domain and cited-page reporting. Ahrefs documents cited pages and cited domains and distinguishes pages cited in AI responses from pages merely found during answer generation [18]. Independent reviews corroborate that the citation view shows which URL an AI model pulled a mention from, revealing whether a win came from an owned site, Reddit, a review roundup, or a competitor blog [20]. Grok's research also found that Brand Radar reports AI citations, cited domains, cited pages, and separates mentions from citations [22].
Second, competitor comparison. Brand Radar lets buyers define their brand, competitors, market or niche, name variations, and associated URLs, enabling direct comparison of competitor visibility and citation performance [25]. Grok's research found comparison of brand mentions, citations, and AI share of voice versus user-defined competitors, plus top cited sources per brand [22].
Third, integration with conventional SEO data. Brand Radar is bundled into Ahrefs base plans as a module rather than a standalone product, and it integrates with Site Explorer and Rank Tracker, enabling correlation of AI citations with backlink changes and organic ranking shifts [26]. Deepseek noted the same structural advantage for teams already working in Ahrefs [28].
Agreement on these three points was strong across the platforms that named the entity. It does not establish product quality; it establishes that the platforms described the same documented feature set.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How accurate is Ahrefs Brand Radar for tracking ChatGPT and Perplexity citations compared with what independent tests found?
- Does Ahrefs Brand Radar provide automated source-overlap analysis and competitor citation-architecture mapping?
Disagreement concentrated in four areas.
Overall fit. OpenAI rated Brand Radar a "good" fit. Anthropic, deepseek, grok, and perplexity rated it "mixed." Kimi rated it "weak." No platform rated it "excellent," and no platform rated it "poor."
Accuracy. Independent reviews report a 73% accuracy rate and significant ChatGPT and Perplexity undercounting. One test reported 3 ChatGPT mentions against 123 actual, and 6 Perplexity mentions against 212 actual [29]. Another independent review reports significant data-accuracy issues, particularly for ChatGPT and Perplexity tracking [31]. No independent third-party audit or ground-truth methodology was located, and Ahrefs' own materials do not publish accuracy benchmarks in the supplied sources.
Source overlap and citation architecture. OpenAI found that Brand Radar supports filtering and comparing entities, cited domains, URLs, AI responses, and historical data, which can be used to infer source overlap and competitor citation architecture, but stated the extent of automated overlap analysis and prioritization is not clearly documented [32]. Anthropic found no direct source-overlap or citation-network mapping documented [35]. Deepseek found no retrieved evidence of source-overlap matrices or repeated-source analysis across competitors [36]. This is a limitation finding, not a disagreement about a documented feature.
Pricing. Ahrefs publishes conflicting entry prices. The help page states single-platform access at $199/month and all-platform access at $699/month, while the pricing page presents Brand Radar AI starting at $199/month without fully exposing every platform-bundle configuration [38]. Independent reviews report $199 and $398 on different Ahrefs pages [40]. One independent review calculates a full-coverage minimum of $828/month ($129 base plus $699 bundle) [42].
Grok availability. A 2026 Ahrefs announcement describes Grok as available, while current help documentation says new Grok data collection is temporarily unavailable because of policy changes [34]. Buyers should verify Grok status in-account.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Can Ahrefs Brand Radar identify which sources repeatedly support each competitor in AI answers?
- Does Ahrefs Brand Radar let a buyer export cited-domain and cited-URL data for custom competitive analysis?
The table below maps each stated use-case criterion to the platform-reported assessment.
| Use-case criterion | Assessment | Evidence |
|---|---|---|
| Compare cited domains and URLs | Advantage | Cited pages and domains reported; cited-in distinguished from found-in |
| Identify sources repeatedly supporting each competitor | Partial | Competitor comparison and cited-source reporting documented; repeated-source ranking not clearly documented |
| Map competitor citation architecture | Unclear | Filtering and comparison can be used to infer structure; automated mapping not documented |
| Measure source overlap | Limitation | No source-overlap matrix documented in retrieved sources |
| Find missing authority sources | Limitation | Gap analysis shows competitor queries where the buyer is absent but does not discover new authority sources to target |
| Prioritize opportunities | Neutral | Ahrefs positions Brand Radar as identifying valuable AI citations and opportunities; independent evidence of prioritization quality was not located |
Additional documented capabilities: custom prompts can track buyer-defined questions on supported AI platforms and locations [44]; Brand Radar data can be accessed through API where an API option is available, and Ahrefs documents Report Builder and Looker Studio workflows [44]; a gap-analysis filter generates a list of prompts where competitors are mentioned but the buyer's brand is not [46].
Documented limitations: Ahrefs states supported prompts run in the relevant location without stored user context, personalization, pre-prompting, or filtering, so results may differ from personalized or logged-in experiences [44]. Standard queries refresh monthly, which one independent review describes as too slow for fast-moving AI landscapes [47]. One review states Brand Radar does not provide direction to improve AI visibility [48]. Another states it is positioned as an exploratory research database rather than a recommendation engine [48].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Ahrefs Brand Radar cost per month for all-platform AI citation coverage, and what base plan is required?
- What are Ahrefs Brand Radar's cancellation, refund, and annual-commitment terms?
Pricing is the least settled part of this review. Ahrefs' own pages conflict.
| Cost item | Amount | Source |
|---|---|---|
| AI Visibility Index starting price | $199/month | |
| All Platforms Brand Radar | $699/month, includes 2,500 custom-prompt checks/month | |
| Custom Prompts — Basic | $50/month for 2,500 checks | |
| Custom Prompts — Growth | $100/month for 7,000 checks | |
| Custom Prompts — Scale | $250/month for 25,000 checks | |
| Base plans (pricing page) | Lite $129, Standard $249, Advanced $449, Enterprise $1,499/month with annual commitment | |
| Custom-prompt overage | $0.020, $0.015, or $0.010 per check depending on package | |
| Independent full-coverage estimate | $828/month minimum ($129 base + $699 bundle) | |
| Independent conflicting entry price | $398 on the Brand Radar product page vs. $199 on the pricing page |
Contract and cancellation terms: Ahrefs states subscriptions can be canceled from Account Settings and remain usable through the subscription period; Ahrefs generally does not issue refunds, though monthly refunds may be requested if the service has not been used, subject to Ahrefs' determination; Enterprise pricing requires an annual commitment; unused pay-as-you-go credits expire after three billing months, including the current month [49]. One Ahrefs blog states Brand Radar can only be purchased monthly, with annual purchase available only for Enterprise users [50].
Additional fees may include extra users, API usage, exports, report credits, and crawl credits under the selected plan, and some emerging-channel indexes are described as free while in beta but may become chargeable add-ons after beta [49]. A developer documentation page notes API-unit pricing behavior for citations endpoints, indicating possible operational costs and usage constraints [51].
Pricing confidence is moderate at best. Buyers should reconcile the $199 versus $398 discrepancy and confirm the exact add-on configuration in writing before purchase.
Best Suited For
Questions This Section Answers
- Who gets the most value from Ahrefs Brand Radar for competitive citation analysis?
- Is Ahrefs Brand Radar worth it for an SEO team already paying for an Ahrefs subscription?
Brand Radar is best suited to marketing and SEO teams benchmarking brand and competitor AI visibility across multiple platforms, buyers needing cited-domain, cited-page, share-of-voice, and source-overlap analysis connected to conventional SEO data, and organizations wanting a standalone AI visibility index or an add-on to an existing Ahrefs workflow [52].
It also suits teams already subscribing to Ahrefs that want to add AI visibility baseline monitoring without separate tool procurement, and SEO-focused organizations analyzing correlation between traditional rankings and AI citations [54].
The strongest case is an existing Ahrefs customer. Brand Radar adds AI visibility data without a separate tool for teams already using Ahrefs for backlink analysis and keyword research [54]. For that buyer, the incremental cost is the add-on rather than the full stack.
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Ahrefs Brand Radar for competitive citation analysis?
- Is Ahrefs Brand Radar a poor choice for agencies that need white-label multi-client AI citation reporting?
Buyers who should look elsewhere include teams requiring guaranteed coverage of private, logged-in, highly personalized, or unsupported AI platforms; teams seeking fully automated authority-gap prioritization, content recommendations, or causal proof that a source caused an AI answer; and small buyers needing only a few narrowly defined prompts at the lowest possible recurring cost [56].
Additional exclusions from other platforms: buyers needing high-accuracy ChatGPT or Perplexity citation tracking for strategic decisions; teams requiring prompt-level granularity and real-time citation refresh cycles; agencies delivering white-label multi-client reporting with branded dashboards; budget-conscious SMBs facing an $828/month minimum; and companies prioritizing citation source classification and authority mapping over mention counts [57].
Kimi's assessment was the harshest: buyers requiring per-prompt competitor citation forensics, systematic measurement of citation share and recommendation position across multiple LLM platforms, or automated identification of which content pieces earn competitor citations should not treat Brand Radar as their primary tool [61].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Ahrefs Brand Radar for a buyer who needs source-overlap and citation-architecture analysis?
- When is a cheaper dedicated AI citation tool a better choice than the Ahrefs Brand Radar add-on?
Platforms named specific alternatives and conditions.
Choose a specialized AI-search visibility platform when the buyer needs deeper cross-platform prompt monitoring, more extensive historical answer archives, or stronger workflow automation than Brand Radar documents publicly [62]. Choose a conventional SEO intelligence platform alongside or instead of Brand Radar when the principal requirement is backlink-based authority-gap analysis rather than citations appearing in AI answers [62]. Choose direct custom-prompt monitoring or an API-based internal system when the buyer needs tightly controlled prompts, locations, schedules, reproducible experiments, or personalized logged-in answer testing [62].
Anthropic named specific competitors and price points: Peec AI at $95–$795/month, Otterly.AI from $29, and Profound at roughly $499/month entry, all undercutting the $828/month full-coverage minimum [63]. Anthropic also stated that Profound, Dageno AI, and HubSpot AEO provide strategic recommendations while Brand Radar returns data only [65].
Kimi named Web Cited at $49–$99/month for systematic per-prompt competitive citation tracking, Cited at roughly $95–$360/month for daily tracking across 5–7 platforms, CiteTrail for competitor displacement forensics with stored answer evidence, Citingly at $49/month for integrated SEO plus GEO/AEO scoring, and Citeme.io for citation-rate technical scoring using the same crawl methodology [66].
Deepseek's conditions: choose a specialist when the core need is source-level overlap and citation-architecture analysis across many competitors, when the buyer needs API-first bulk exports of competitor citation data, or when the buyer has no existing Ahrefs subscription and only needs AI citation analytics [71].
These are platform-reported recommendations. The writer stage did not independently validate the named alternatives or their pricing.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Ahrefs before signing a Brand Radar contract for competitive citation analysis?
- Which AI platforms, prompt volumes, and export limits are included in a Brand Radar quote?
The platforms collectively produced a long verification list. The highest-value items:
- Which exact AI platforms, countries, languages, locations, and prompt corpus size are included in the proposed quote on the purchase date [72].
- Whether the required capability is the AI Visibility Index, Custom Prompts, the All Platforms bundle, or a combination with a base Ahrefs subscription [72].
- Whether the selected plan provides cited URL and domain exports, historical answer-level records, API access, and the required row or export limits [72].
- Whether the system can calculate source overlap, repeated-source frequency, competitor citation architecture, missing authority sources, and opportunity prioritization natively, or whether analysis requires exports and custom work [72].
- How duplicate URLs, redirects, syndicated content, domains, subdomains, citations, and uncited found pages are counted [72].
- How location, language, personalization, logged-in state, model version, and answer volatility are controlled for reproducible comparisons [72].
- The current status and price of Grok, Claude, AI Mode, AI Overviews, YouTube, Reddit, and TikTok coverage [72].
- The exact overage, cancellation, refund, annual-commitment, data-retention, and export terms in the order form [72].
- Whether Ahrefs will provide a trial or sample report using the buyer's competitors and target prompts before commitment [72].
- Whether Ahrefs publishes accuracy benchmarks or third-party audit results for citation tracking across all supported platforms [75].
- The roadmap and timeline for adding Claude and other emerging AI engines [74].
- Whether Brand Radar data can be exported via API with granularity suitable for custom competitive analysis workflows [73].
Final AI Consensus Verdict
Ahrefs Brand Radar is a qualified fit for AI Citation Solutions for Competitive Citation Analysis, with a contested consensus. Four of six platforms named it in the ranking stage, and it earned a best rank of 1 on deepseek. Fit ratings split one "good," four "mixed," and one "weak."
The strongest reason to consider it is documented cited-domain and cited-page reporting with competitor comparison inside the Ahrefs SEO ecosystem [78]. The main limitation is that no platform found public evidence of automated source-overlap matrices, competitor citation-architecture mapping, or authority-gap prioritization, and independent reviews report accuracy and pricing conflicts [81].
Treat Brand Radar as a strong practical monitoring and discovery tool, not as a fully validated, end-to-end citation-architecture and opportunity-prioritization system. Verify platform coverage, pricing configuration, export and API limits, and whether source-overlap and authority-gap workflows meet the required depth before committing.
How This Review Was Produced
This review synthesizes fit-research responses from six AI platforms: openai (gpt-5.6-luna), anthropic (claude-haiku-4-5-20251001), deepseek (deepseek-v4-flash), grok (x-ai/grok-4.3), kimi (moonshotai/kimi-k2.6), and perplexity (perplexity/sonar). Each platform evaluated Ahrefs Brand Radar against the stated use case and returned a fit rating, strengths, limitations, pricing findings, and verification questions.
The study date is 2026-09-17. Platform-reported research dates differ: deepseek reported 2026-02-14, while the other five platforms reported 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.
All included platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery. The ranking stage named Ahrefs Brand Radar on four of six platforms.
Company-owned citations materially outnumber independent citations in the supplied catalog (24 owned versus 21 independent). Company claims are not described as independently verified anywhere in this review.
Methodology Limitations
- 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.
- Official-site retrieval failed for the canonical Ahrefs domain; the identity audit used an exact-name fallback, and the matching reported domain remains unverified.
- Deepseek's research date (2026-02-14) predates the authoritative run date by roughly seven months, so its findings may be stale.
- Kimi reported that no Ahrefs official documentation was successfully retrieved during its research, so its Brand Radar-specific claims rely on unverified identity from the ranking stage.
- Conflicting product names, pricing, and capabilities were preserved rather than resolved. Buyers should verify each conflict directly with Ahrefs.
- No platform reported personal testing, customer experience, or independent verification of citation accuracy beyond the third-party reviews cited.
- AI-platform agreement on documented features does not prove product quality or competitive superiority.
Explore more ai citation authority building guidance in the category directory.
Sources
Company-Owned Sources
- Ahrefs Official Website: 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 Pricing: How to Choose the Right Ahrefs Plan: https://ahrefs.com/blog/ahrefs-pricing/
- Ahrefs Brand Radar Methodology: How we collect and model AI visibility data: https://ahrefs.com/blog/brand-radar-methodology/
- Ahrefs — Brand Radar and AI search visibility: https://ahrefs.com/blog/brand-radar/
- Grok in Brand Radar, higher API limits, and more: https://ahrefs.com/blog/new-features-apr-2026/
- Ahrefs Brand Radar: See ANY brand’s AI visibility: https://ahrefs.com/brand-radar
- Plans & Pricing: https://ahrefs.com/pricing
- Competition Tracking - CiteMetrix: https://citemetrix.com/docs/competition-tracking/
- CiteTrail - see where AI recommends your competitors: https://citetrail.cloud/
- Citingly — AI Brand Intelligence Platform: https://citingly.com/
- Overview - Citations | Ahrefs for Developers: https://docs.ahrefs.com/en/api/reference/brand-radar/post-citations-overview
- 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 create a report in Brand Radar: https://help.ahrefs.com/en/articles/13192029-how-to-create-a-report-in-brand-radar
- 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
- Where to find all of Ahrefs' AI-powered tools and features: https://help.ahrefs.com/en/articles/9459159-where-to-find-all-of-ahrefs-ai-powered-tools-and-features
- Ahrefs Help — Brand Radar: https://help.ahrefs.com/en/articles/9736623-brand-radar
- Web Cited | Weekly AI Citation Monitoring for SEO, AEO & GEO: https://web-cited.com/
- Citation Monitor | Weekly AI Citation Tracking from $49/mo | Web Cited: https://web-cited.com/citation-monitor/
- Competitive Monitoring | CiteMe: https://www.citeme.io/features/competitive-monitoring
- AI Search Optimization Platform for Brands | Cited: https://www.getcited.in/platform
- Pricing | Cited: https://www.getcited.in/pricing
Additional AI research evidence84 records
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record deepseek:c5
- AI research evidence record openai:c0
- AI research evidence record anthropic:11-16
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:23-2
- AI research evidence record anthropic:18-2
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record openai:c7
- AI research evidence record anthropic:6-11
- AI research evidence record anthropic:23-5
- AI research evidence record grok:0
- AI research evidence record grok:4
- AI research evidence record grok:8
- AI research evidence record openai:c6
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:7-13
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:32-1
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:31-1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record openai:c0
- AI research evidence record openai:c1
- AI research evidence record anthropic:16-1
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:14-14
- AI research evidence record anthropic:35-3
- AI research evidence record openai:c0
- AI research evidence record openai:c4
- AI research evidence record anthropic:4-9
- AI research evidence record anthropic:35-8
- AI research evidence record anthropic:29-2
- AI research evidence record openai:c0
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c10
- AI research evidence record openai:c0
- AI research evidence record openai:c3
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:7-13
- AI research evidence record openai:c0
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:28-7
- AI research evidence record anthropic:35-3
- AI research evidence record kimi:uncertain-official
- AI research evidence record openai:c0
- AI research evidence record anthropic:14-14
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:29-2
- AI research evidence record kimi:web-cited-monitor
- AI research evidence record kimi:getcited-pricing
- AI research evidence record kimi:citetrail-cloud
- AI research evidence record kimi:citingly-com
- AI research evidence record kimi:citeme-competitive
- AI research evidence record deepseek:c1
- AI research evidence record openai:c0
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:18-2
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record perplexity:c10
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record deepseek:c1
Independent Sources
- Ahrefs Pricing 2026: Plans, Costs & Hidden Fees: https://checkthat.ai/brands/ahrefs/pricing
- Ahrefs Brand Radar Review (2026): Features, Pricing: https://connorkimball.com/blog/ahrefs-brand-radar-review-pricing-competitor-comparison/
- Ahrefs Brand Radar Review 2026: Features, Pricing, and Who It's Really For: https://dageno.ai/blog/ahrefs-brand-radar-review
- Ahrefs Brand Radar Review 2026: Does It Meet Expectations?: https://dageno.ai/blog/ahrefs-brand-radar-review-2026
- Brand Radar: Ahrefs Review 2025: SEO Tool Worth the Hype?: https://koanthic.com/en/case-studies/brand-radar/
- Ahrefs Cost Breakdown & Alternatives 2026 | Maintouch: https://maintouch.com/blogs/ahrefs-pricing
- Best AI Mode Rank Trackers for 2026: https://metehan.ai/articles/best-ai-mode-rank-tracker/
- Ahrefs Brand Radar Review 2026: Is It Worth $828/Month?: https://nboundmarketing.com/research/ai-visibility/ahrefs-brand-radar/
- Ahrefs Brand Radar Review (2026): Pricing, Engines, Real Cost: https://sightivo.com/blog/ahrefs-brand-radar-review
- Ahrefs Pricing and Brand Radar Costs in 2026 | Trakkr: https://trakkr.ai/reviews/ahrefs-review/pricing
- Ahrefs Brand Radar Review (2026): Pricing, Features, and the Real Cost of Full Coverage | AEO Labs: https://www.aeolabs.ai/blog/ahrefs-brand-radar-review
- Ahrefs Brand Radar: Complete Review and Use Cases | Am I Cited: https://www.amicited.com/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
- 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
- G2 — Ahrefs Reviews: https://www.g2.com/products/ahrefs/reviews
- 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? | Rankability Blog: https://www.rankability.com/blog/ahrefs-brand-radar-review/
- Ahrefs Brand Radar Review 2026: Is It Worth $828? - Analyze AI: 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 evidence84 records
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c1
- AI research evidence record openai:c3
- AI research evidence record deepseek:c5
- AI research evidence record openai:c0
- AI research evidence record anthropic:11-16
- AI research evidence record perplexity:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:23-2
- AI research evidence record anthropic:18-2
- AI research evidence record openai:c4
- AI research evidence record openai:c2
- AI research evidence record openai:c7
- AI research evidence record anthropic:6-11
- AI research evidence record anthropic:23-5
- AI research evidence record grok:0
- AI research evidence record grok:4
- AI research evidence record grok:8
- AI research evidence record openai:c6
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:7-13
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:32-1
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:31-1
- AI research evidence record deepseek:c1
- AI research evidence record deepseek:c3
- AI research evidence record openai:c0
- AI research evidence record openai:c1
- AI research evidence record anthropic:16-1
- AI research evidence record perplexity:c8
- AI research evidence record anthropic:14-14
- AI research evidence record anthropic:35-3
- AI research evidence record openai:c0
- AI research evidence record openai:c4
- AI research evidence record anthropic:4-9
- AI research evidence record anthropic:35-8
- AI research evidence record anthropic:29-2
- AI research evidence record openai:c0
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c10
- AI research evidence record openai:c0
- AI research evidence record openai:c3
- AI research evidence record anthropic:7-2
- AI research evidence record anthropic:7-13
- AI research evidence record openai:c0
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record anthropic:28-7
- AI research evidence record anthropic:35-3
- AI research evidence record kimi:uncertain-official
- AI research evidence record openai:c0
- AI research evidence record anthropic:14-14
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:29-2
- AI research evidence record kimi:web-cited-monitor
- AI research evidence record kimi:getcited-pricing
- AI research evidence record kimi:citetrail-cloud
- AI research evidence record kimi:citingly-com
- AI research evidence record kimi:citeme-competitive
- AI research evidence record deepseek:c1
- AI research evidence record openai:c0
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:18-2
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record perplexity:c10
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record openai:c7
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:34-2
- AI research evidence record anthropic:36-1
- AI research evidence record deepseek:c1
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
- 6
- Source records
- 45
- Ranking mentions
- 4 of 6
- Platform share
- 67%
- Final consensus rank
- #6
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
21 independent · 24 company-owned
Evidence support
20 direct · 8 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 0472a6471d27a3d39dec886e07b71d6c097c4ffdb070e7bf7be2ef0b2146b336