Answer Capsule
Ahrefs Brand Radar is a good fit for citation architecture analysis if the buyer already uses Ahrefs or needs broad, at-scale discovery of which pages and domains AI answers cite. Three of six platforms named it during ranking discovery, at an average listed rank of 3.0 and a best rank of 2. Its strongest asset is direct cited-page and cited-domain reporting plus competitor prompt-gap views. The main limitation is that public documentation emphasizes visibility measurement and source discovery rather than end-to-end source acquisition, causal attribution, or guaranteed coverage of every recommendation environment, and pricing and platform coverage conflict across Ahrefs' own pages.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 6 included platforms (deepseek, grok, openai) |
| Share of included platform responses | 50% |
| Average listed rank | 3.0 |
| Best listed rank | 2 |
| Relevant product/model/plan | Ahrefs Brand Radar All Platforms plus Custom Prompt Tracking |
| Overall use-case fit | Good (openai, perplexity); Mixed (anthropic, deepseek, grok); Uncertain (kimi) |
| Research date | 2026-09-19 |
Why Ahrefs Brand Radar Qualified for This Study
Questions This Section Answers
- Is Ahrefs Brand Radar a good choice for AI Visibility Platforms for Citation Architecture Analysis?
- How many AI platforms named Ahrefs Brand Radar in the ranking stage for citation architecture analysis?
Ahrefs Brand Radar qualified because three of the six included platforms named it during ranking discovery, and it was the only entity in this review to receive a "good" fit rating from more than one platform. OpenAI and Perplexity both rated it a good fit; Anthropic, DeepSeek, and Grok rated it mixed; Kimi rated it uncertain [1].
The qualification rests on a specific capability match. Brand Radar reports top cited pages and domains and supports analysis of where brands are cited in AI answers, which maps directly to the repeated-source and citation-architecture discovery the use case requires [1]. Independent reviews corroborate that the citation view shows which URL an AI model pulled each mention from, revealing whether wins came from owned sites, Reddit threads, review roundups, or competitor blogs [7].
Qualification is not the same as endorsement. Kimi's response could not confirm that "Ahrefs Brand Radar" exists as a shipped product with AI search visibility coverage, and cited a competitor claim that Citare ships "Brand Radar that Ahrefs doesn't have" [6]. That claim is competitor-sourced and may be outdated. The deterministic identity audit also notes that official-site retrieval failed and that the reported Ahrefs domain was retained as an exact-name fallback rather than independently verified.
The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Citation Architecture Analysis
Questions This Section Answers
- Which Ahrefs Brand Radar plan should a buyer choose for citation architecture analysis?
- Does Ahrefs Brand Radar require a base Ahrefs subscription, or can it be bought standalone?
The configuration most relevant to this use case is Brand Radar All Platforms plus Custom Prompt Tracking. OpenAI, Anthropic, Grok, and Perplexity all converged on that configuration as the relevant plan [9]. DeepSeek described Brand Radar as bundled within Ahrefs subscription tiers rather than sold standalone [13].
What the configuration includes, per platform-reported evidence:
- Cited pages and cited domains. Brand Radar reports the pages and domains AI answers cite, and supports competitor benchmarking and prompt-level gap analysis [9].
- Custom prompt tracking. Custom prompts can be tracked by selected assistant, location, and daily, weekly, or monthly refresh cadence; one check equals one prompt execution multiplied by one platform and one location [14].
- All-platforms coverage. Documented coverage includes Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, Copilot, and Grok, though availability and collection conditions vary by configuration and platform policy [14].
- API access. Custom-prompt response data can be retrieved through an API endpoint without consuming API units, according to Ahrefs documentation [14].
Packaging is genuinely unclear. Ahrefs' product page says Brand Radar is free in every Ahrefs paid plan and starts at $199/mo, while the FAQ describes standalone availability from $50/month, and the help center lists $699/mo for all platforms [16]. DeepSeek found no standalone public pricing at all [13]. Buyers should treat the exact bundle as unconfirmed until checkout.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Ahrefs Brand Radar does well for citation architecture analysis?
- Does Ahrefs Brand Radar show which specific URLs and domains AI answers cite?
Agreement was strong but not unanimous on four points.
Cited-page and cited-domain reporting exists. OpenAI, Anthropic, Grok, and Perplexity all described citation-level reporting. OpenAI states Brand Radar reports top cited pages and domains [18]. Anthropic's independent sources describe a citation view showing which URL the AI model pulled each mention from [19]. Grok states Brand Radar reports exact URLs and domains cited by AI when mentioning a brand [21]. Perplexity states Ahrefs calculates AI share of voice from how often brands are mentioned or cited in AI responses [22].
Competitor gap analysis exists. OpenAI describes prompt-level competitor gaps, including reports for prompts where others appear and the tracked brand does not [23]. Anthropic's independent sources describe gap analysis showing competitor dominance and brand absence in specific categories [24].
Coverage spans the major answer engines. OpenAI, Anthropic, Grok, and Perplexity all list ChatGPT, Perplexity, Gemini, Copilot, and Google AI Overviews or AI Mode [25].
Recurring monitoring is supported. Custom prompts support recurring refresh schedules, and Ahrefs documents daily AI-visibility tracking [25].
Agreement among AI platforms does not establish product quality. It establishes that multiple research passes converged on the same description of the product's stated capabilities.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Which AI platforms are missing from Ahrefs Brand Radar, and does that matter for citation architecture analysis?
- Is Ahrefs Brand Radar real-time or snapshot-based for citation monitoring?
Disagreement clustered around coverage, methodology, and existence.
Platform coverage conflicts. OpenAI lists Grok as documented coverage while noting availability and collection conditions vary [29]. Anthropic's independent sources state Brand Radar does not include Claude, Grok, Meta AI, or DeepSeek [31]. Grok's own response lists Claude, Grok, and Meta as missing [33]. These are direct conflicts about the same product, and Ahrefs has published a later update describing changes to Grok availability, indicating coverage can shift [30].
Prompt methodology conflicts. OpenAI describes a broad modeled prompt index built from search-backed prompts executed without stored user context, personalization, pre-prompting, or filtering [34]. Anthropic's independent sources argue the keyword-first methodology creates a fundamental mismatch with natural-language AI search and misses conversational queries without traditional search volume [35].
Update cadence conflicts. Anthropic's independent sources describe scheduled snapshots with 90-day reporting windows rather than real-time tracking [38], while Ahrefs' own methodology page describes monthly updates and testing using a 90-day reporting window [39]. Grok describes AI data as monthly or every few days, with custom prompts available as an add-on with daily refreshes [40].
Accuracy disputes. Grok's response cites independent tests showing underreporting, with one example of 3 mentions reported versus 123 observed [41]. This is a single platform-reported example and was not independently verified in the reviewed sources.
Existence uncertainty. Kimi could not confirm the product exists with AI-specific citation capabilities and rated fit uncertain [42]. Every other platform treated it as an existing product.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Ahrefs Brand Radar identify which sources cite competitors but not your brand?
- Can Ahrefs Brand Radar track how the citation source ecosystem changes over time?
Mapped against the five citation-architecture criteria in this study, the evidence is uneven.
| Criterion | Assessment | Evidence |
|---|---|---|
| First-party vs. third-party source identification | Advantage | Tracks whether citations originate from owned domains, social content, review sites, or competitors |
| Recurring domain detection | Advantage (with caveat) | Reports cited pages and domains; no first-party documentation confirms a dedicated source-concentration report |
| Competitor source support | Advantage | Competitor benchmarking, share-of-voice comparison, and prompt-gap views |
| Authority gap analysis | Neutral | Cited-page, cited-domain, and prompt-gap reports can reveal gaps, but public materials do not establish automated conversion into validated outreach targets |
| Change over time | Advantage (with latency caveat) | Recurring custom-prompt refreshes and daily tracking; results are volatile and snapshot-based |
Two additional capabilities matter for this use case. Brand Radar integrates with Ahrefs' backlink and authority data, giving one-click access to referring domain authority, backlink profile, and organic traffic for cited sources [43]. And it sits inside Ahrefs' Site Explorer alongside traditional SEO metrics, which eliminates data stitching for existing Ahrefs users but adds switching cost for everyone else [45].
The gap is execution. Anthropic's independent sources note the tool identifies visibility gaps but does not flow them into content briefs, scoring, or client-ready reporting without switching tools or stitching exports [46]. OpenAI reaches a similar conclusion: public materials do not establish a complete workflow for acquiring citations or correcting authority gaps [47].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Ahrefs Brand Radar cost per month for citation architecture analysis?
- Are there setup fees, overage charges, or cancellation penalties with Ahrefs Brand Radar?
Pricing is the least settled part of this review. Ahrefs' own pages conflict.
| Item | Reported price | Source |
|---|---|---|
| Single Brand Radar platform/index | $199/month | |
| Brand Radar All Platforms | $699/month, includes 2,500 custom-prompt checks/month | |
| Custom Prompt Tracking | Basic $50/mo (2,500 checks), Growth $100/mo (7,000), Scale $250/mo (25,000) | |
| Overage per check | $0.020 / $0.015 / $0.010 for Basic / Growth / Scale | |
| Base Ahrefs subscription | $129/mo Lite to $1,499/mo Enterprise | |
| All-in full coverage | $828–$1,148/mo | |
| Standalone from | $50/month per Ahrefs FAQ | |
| Conflicting entry price | $398–$699/mo on ahrefs.com/brand-radar vs. "from $199/mo" on ahrefs.com/pricing |
A check is consumed per prompt, selected AI platform, and location [48]. Additional seats on the base plan run $40–$100/month depending on tier, and crawl credits, report rows, export rows, tracked keywords, and API units are subject to per-tier caps with pay-as-you-go overage [49].
Contract terms: Ahrefs states subscriptions can be canceled from Account Settings and remain usable through the end of the subscription period, and that it generally does not issue refunds, though unused monthly subscriptions may be eligible for a refund request subject to review [48]. Enterprise requires an annual commitment; the reviewed Brand Radar pages do not establish that the same commitment applies to every Brand Radar configuration [48]. Perplexity's source states Brand Radar can only be purchased monthly and that only Enterprise users can buy annually [51]. No setup fees were reported [52].
Pricing confidence is low to moderate across platforms. DeepSeek rated it low [53]; OpenAI and Anthropic rated it moderate [48]; Grok rated it high [52]. Buyers should confirm the exact US configuration at purchase.
Best Suited For
Questions This Section Answers
- Who gets the most value from Ahrefs Brand Radar for citation architecture analysis?
- Is Ahrefs Brand Radar worth it for agencies managing multiple clients?
Brand Radar is best suited to four buyer profiles, based on platform-reported fit assessments.
Existing Ahrefs subscribers. For teams already paying for Ahrefs, Brand Radar is described as the cheapest way to start measuring AI mentions without adding a second vendor [54]. Integration into Site Explorer means AI visibility metrics sit alongside traditional SEO data [54].
Teams doing at-scale market and competitor research. The modeled prompt index enables market-level discovery without requiring the buyer to predefine every query [56]. Anthropic's sources describe a database of 400M+ search-backed prompts supporting at-scale competitive source analysis [55].
Buyers who need cited-domain and cited-page discovery. This is the capability with the strongest multi-platform agreement [56].
Agencies amortizing base subscription costs. Anthropic's fit assessment lists agencies servicing multiple clients who can spread Ahrefs base subscription costs across accounts [54].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Ahrefs Brand Radar for citation architecture analysis?
- Does Ahrefs Brand Radar cover logged-in or personalized AI experiences?
Three buyer profiles are poorly matched.
Buyers needing exhaustive coverage of logged-in, private, or highly personalized AI experiences. Ahrefs states its broad index executes prompts in the relevant location without stored user context, personalization, pre-prompting, or filtering [59]. That improves repeatability but may not represent logged-in or personalized user experiences [59].
Teams seeking a dedicated digital-PR or link-acquisition workflow tied to citation gaps. Public materials do not establish that Brand Radar automatically converts gaps into validated outreach targets or content recommendations [59].
Buyers needing independently audited measurement methodology or guaranteed stability. Independent evidence on Brand Radar's measurement accuracy, citation recall, and customer outcomes was not established in the reviewed sources; most evidence is Ahrefs-owned [59]. Grok's response cites an independent test showing underreporting [61].
Anthropic's fit assessment adds buyers requiring real-time citation monitoring, standalone AI visibility programs without existing Ahrefs investment, and organizations focused on actionable GEO execution [62].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Ahrefs Brand Radar for real-time citation monitoring?
- When should a buyer choose a specialized AI visibility platform over Ahrefs Brand Radar?
Platforms named several conditions under which a different tool fits better.
When real-time or continuous monitoring is required. Anthropic's response names Dageno AI, Profound, and Ekamoira as dedicated platforms tracking prompt-level changes and real-time source shifts [64]. Brand Radar uses scheduled snapshots with 90-day reporting windows [64].
When emerging or niche LLM coverage is essential. Anthropic and Grok both flag missing Claude, Grok, Meta AI, and DeepSeek as a gap for complete buyer search ecosystem visibility [65].
When sentiment analysis or citation-tone classification is core. Brand Radar lacks native sentiment tracking [68].
When actionable GEO execution is needed. Brand Radar is described as a research and monitoring tool, not an execution platform [68].
When budget is the primary constraint. Standalone AEO platforms at $200–$500/mo may be more economical than the $828–$1,148/mo all-in cost for Ahrefs plus Brand Radar for non-Ahrefs users [69].
When deeper source-graph explainability is needed. Perplexity's response suggests a tool focused on citation tracing or source graph analysis may be better if the buyer needs to understand why a specific source was cited repeatedly [70].
Kimi's response names Citare, Cited, Viali, and Citingly as verified alternatives with confirmed capabilities, including persona-anchored monitoring and citation context classification [71]. These are competitor-owned sources and should be treated as vendor claims.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Ahrefs before signing a Brand Radar contract?
- Does Ahrefs Brand Radar expose raw citation data through exports or an API?
Platforms converged on a verification checklist. The questions below are drawn from the supplied platform responses.
Coverage and scope. Which exact AI platforms, indexes, regions, and response types are included in the quoted All Platforms package on the purchase date [75]? Does the selected configuration expose every cited URL, cited domain, fan-out query, recommendation, and response snapshot needed for the audit workflow [75]? Does Brand Radar track brand citations from Reddit within AI search responses, or only Reddit visibility in Google SERPs [76]?
Data handling. How are duplicate citations, redirects, syndicated content, dynamic pages, and citations without clickable URLs normalized [75]? How are location, language, personalization, login state, browsing mode, and conversation context handled for each monitored platform [75]? What are the historical-retention limits, export limits, API fields, rate limits, and automation options [75]?
Pricing and terms. Is Brand Radar available monthly for the exact package, or is an annual commitment required [77]? Are overages automatic, capped, or disableable, and can the buyer set spend alerts or hard usage limits [77]? What is the current entry-level price: $199/mo single platform or $398/mo select platforms [78]?
Platform change risk. What happens when an AI platform changes policy, requires login, blocks collection, or changes its response format [75]? Does Ahrefs plan to add coverage for Claude, Grok, Meta AI, or other LLMs before the purchase decision, and on what timeline [79]?
Accuracy validation. Confirm current accuracy on sample brands via direct LLM testing versus Brand Radar output [80].
Final AI Consensus Verdict
Ahrefs Brand Radar is a good fit for citation architecture analysis, with material caveats. Two platforms rated it good, three rated it mixed, and one rated it uncertain. The strongest reason to consider it is direct cited-page and cited-domain reporting combined with competitor prompt-gap views, which addresses the core discovery work of mapping which sources AI systems rely on and which support competitor recommendations [81].
The strongest reason for caution is that Brand Radar is not clearly a complete citation-architecture operating system. Platform coverage, methodology, historical consistency, and source-acquisition capabilities require verification [81]. Public documentation does not prove exhaustive capture of all citations, fan-out queries, or recommendation rationales [81]. Independent evidence on measurement accuracy and citation recall was not established in the reviewed sources [81].
The recommended configuration is Brand Radar All Platforms plus Custom Prompt Tracking, subject to confirming current US coverage, pricing, and export/API details [81]. Buyers already invested in Ahrefs face a lower marginal cost than standalone buyers, for whom the all-in figure of $828–$1,148/mo may exceed single-purpose alternatives [85].
How This Review Was Produced
This review evaluates Ahrefs Brand Radar only for the use case of AI Visibility Platforms for Citation Architecture Analysis. It is not a broad company review.
Six platforms contributed fit research: 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). Three of those six named Ahrefs Brand Radar during ranking discovery: DeepSeek (rank 5), Grok (rank 2), and OpenAI (rank 2).
All included platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery. The study date is 2026-09-19. DeepSeek's platform-reported research date was 2026-06-11, which differs from the authoritative run date.
The consensus index for this category is available at AI Visibility Platforms for Citation Architecture Analysis.
Broader coverage of this category is available in the ai visibility llm monitoring directory.
Methodology Limitations
Several limitations apply to this review.
Company-owned evidence dominates. Company-owned citations materially outnumber independent citations in the supplied research. Company claims are not independently verified and should not be read as such.
Platform-reported research dates differ. DeepSeek's research date was 2026-06-11, while the authoritative run date is 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.
Official-site retrieval failed. The deterministic identity audit notes that official-site retrieval failed for one or more mentions and that identity used exact-name fallback. The supplied Ahrefs domain is treated as the reported official domain, not independently verified through a successful retrieval.
Pricing conflicts were not resolved. Ahrefs' public pages report different prompt-index sizes, platform counts, and prices. The reviewed sources disagree on whether certain AI platforms are included in All Platforms versus separate indexes or add-ons. This review describes the conflicts rather than resolving them.
Independent accuracy evidence is absent. Independent evidence on Brand Radar's measurement accuracy, citation recall, and customer outcomes was not established in the reviewed sources.
One platform could not confirm the product. Kimi's response could not verify that Ahrefs Brand Radar exists with AI-specific citation capabilities and rated fit uncertain. This is disclosed rather than averaged away.
Supplied URLs were not independently validated. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.
Citations are platform-reported evidence. They are not independently verified facts. No-search model claims require explicit verification before being described as current facts.
Sources
Company-Owned Sources
- Free AI Overviews Tracker by Ahrefs: https://ahrefs.com/ai-overviews-tracker
- Ahrefs Brand Radar Methodology: How we collect and model AI visibility data: https://ahrefs.com/blog/?p=192393
- Ahrefs Pricing: How to Choose the Right Ahrefs Plan: https://ahrefs.com/blog/ahrefs-pricing/
- Ahrefs Brand Radar Methodology: How we collect and model AI visibility data: https://ahrefs.com/blog/brand-radar-methodology/
- Ahrefs Brand Radar documentation: https://ahrefs.com/blog/brand-radar/
- How to Choose the Best Prompts to Monitor Your AI Search Visibility: https://ahrefs.com/blog/custom-prompt-tracking/
- Grok in Brand Radar, higher API limits, and more: https://ahrefs.com/blog/new-features-apr-2026/
- Ahrefs Brand Radar product page: https://ahrefs.com/brand-radar
- Ahrefs FAQ | Frequently asked questions: https://ahrefs.com/faq
- Plans & Pricing - Ahrefs: https://ahrefs.com/pricing
- Citingly — AI Brand Intelligence Platform: https://citingly.com/
- About Brand Radar | Help Center: 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
- Citations Intelligence — Sources Behind AI Answers | Viali: https://viali.ai/product/citations-source-intelligence/
- AI Citation & Sources Analysis | SE Visible: https://visible.seranking.com/ai-sources/
- Citare — AI search intelligence + full SEO suite | GEO platform for modern teams: https://www.citare.ai/
- How Citare works — Brand Radar, Site Explorer, Rank Tracker, Site Audit (2026: https://www.citare.ai/how-it-works
- Cited | AI Search Optimization Platform: https://www.getcited.in/
- AI Search Optimization Platform for Brands | Cited: https://www.getcited.in/platform
Additional AI research evidence85 records
- AI research evidence record openai:c1
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:c4
- AI research evidence record deepseek:c1
- AI research evidence record grok:web:0
- AI research evidence record kimi:citare-ai-1
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:c22
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c2
- AI research evidence record deepseek:c3
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c13
- AI research evidence record openai:c1
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c1
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c12
- AI research evidence record openai:c3
- AI research evidence record anthropic:c9
- AI research evidence record openai:c2
- AI research evidence record anthropic:c4
- AI research evidence record grok:web:4
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c5
- AI research evidence record grok:web:4
- AI research evidence record openai:c1
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c7
- AI research evidence record anthropic:c8
- AI research evidence record anthropic:c15
- AI research evidence record anthropic:c16
- AI research evidence record grok:web:10
- AI research evidence record grok:web:2
- AI research evidence record kimi:citare-ai-1
- AI research evidence record grok:web:0
- AI research evidence record anthropic:c19
- AI research evidence record anthropic:c20
- AI research evidence record anthropic:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:c25
- AI research evidence record anthropic:c22
- AI research evidence record perplexity:c4
- AI research evidence record grok:web:2
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:c20
- AI research evidence record anthropic:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:c2
- AI research evidence record grok:web:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:c3
- AI research evidence record grok:web:2
- AI research evidence record anthropic:c15
- AI research evidence record anthropic:c23
- AI research evidence record anthropic:c15
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c5
- AI research evidence record grok:web:4
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c23
- AI research evidence record perplexity:c12
- AI research evidence record kimi:citare-ai-2
- AI research evidence record kimi:getcited-in-1
- AI research evidence record kimi:viali-ai-1
- AI research evidence record kimi:citingly-com-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:c21
- AI research evidence record anthropic:c4
- AI research evidence record grok:web:2
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:c2
- AI research evidence record grok:web:0
- AI research evidence record anthropic:c23
Independent Sources
- Ahrefs Brand Radar Review 2026: Features, Pricing, and Who It's Really For: https://dageno.ai/blog/ahrefs-brand-radar-review
- Ahrefs Brand Radar Review 2026: Does It Meet Expectations?: https://dageno.ai/blog/ahrefs-brand-radar-review-2026
- Ahrefs Brand Radar Review 2026: Is It Worth $828/Month?: https://nboundmarketing.com/research/ai-visibility/ahrefs-brand-radar/
- Brand Radar by Ahrefs: What It Tracks and How to Evaluate It: https://stridec.com/blog/brand-radar-ahrefs/
- Ahrefs Brand Radar Review 2026: Pricing, Features, and the Real Cost of Full Coverage: https://www.aeolabs.ai/blog/ahrefs-brand-radar-review
- Ahrefs Adds YouTube and Reddit Tracking to Brand Radar: https://www.businesswire.com/news/home/20260106995102/en/Ahrefs-Adds-YouTube-and-Reddit-Tracking-to-Brand-Radar
- Ahrefs Brand Radar Alternatives & Review: Is It Worth It? (2026: https://www.ewrdigital.com/blog/ahrefs-brand-radar-review-alternatives-pricing-comparison
- Ahrefs Brand Radar Pricing in 2026: Why You'll See Two Different Prices: https://www.get-ryze.ai/blog/ahrefs-brand-radar-pricing-2026
- Ahrefs Brand Radar Review 2026: Features, Pricing, Verdict: https://www.layer3labs.io/guides/ahrefs-brand-radar-review
- Ahrefs Brand Radar review for agencies (2026): worth it for client AI visibility?: https://www.rankability.com/blog/ahrefs-brand-radar-review/
- Ahrefs Brand Radar Review (2026): Good for SEO Teams, Not Enough for AEO: https://www.tryprofound.com/blog/ahrefs-brand-radar-review
- Ahrefs Pricing | UsagePricing: https://www.usagepricing.com/blueprint/ahrefs
Additional AI research evidence85 records
- AI research evidence record openai:c1
- AI research evidence record perplexity:c12
- AI research evidence record anthropic:c4
- AI research evidence record deepseek:c1
- AI research evidence record grok:web:0
- AI research evidence record kimi:citare-ai-1
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:c22
- AI research evidence record grok:web:1
- AI research evidence record perplexity:c2
- AI research evidence record deepseek:c3
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c13
- AI research evidence record openai:c1
- AI research evidence record anthropic:c2
- AI research evidence record anthropic:c1
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c12
- AI research evidence record openai:c3
- AI research evidence record anthropic:c9
- AI research evidence record openai:c2
- AI research evidence record anthropic:c4
- AI research evidence record grok:web:4
- AI research evidence record openai:c5
- AI research evidence record openai:c2
- AI research evidence record openai:c6
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c5
- AI research evidence record grok:web:4
- AI research evidence record openai:c1
- AI research evidence record anthropic:c6
- AI research evidence record anthropic:c7
- AI research evidence record anthropic:c8
- AI research evidence record anthropic:c15
- AI research evidence record anthropic:c16
- AI research evidence record grok:web:10
- AI research evidence record grok:web:2
- AI research evidence record kimi:citare-ai-1
- AI research evidence record grok:web:0
- AI research evidence record anthropic:c19
- AI research evidence record anthropic:c20
- AI research evidence record anthropic:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:c25
- AI research evidence record anthropic:c22
- AI research evidence record perplexity:c4
- AI research evidence record grok:web:2
- AI research evidence record deepseek:c3
- AI research evidence record anthropic:c20
- AI research evidence record anthropic:c3
- AI research evidence record openai:c1
- AI research evidence record anthropic:c2
- AI research evidence record grok:web:0
- AI research evidence record openai:c1
- AI research evidence record anthropic:c3
- AI research evidence record grok:web:2
- AI research evidence record anthropic:c15
- AI research evidence record anthropic:c23
- AI research evidence record anthropic:c15
- AI research evidence record anthropic:c4
- AI research evidence record anthropic:c5
- AI research evidence record grok:web:4
- AI research evidence record anthropic:c3
- AI research evidence record anthropic:c23
- AI research evidence record perplexity:c12
- AI research evidence record kimi:citare-ai-2
- AI research evidence record kimi:getcited-in-1
- AI research evidence record kimi:viali-ai-1
- AI research evidence record kimi:citingly-com-1
- AI research evidence record openai:c1
- AI research evidence record anthropic:c3
- AI research evidence record openai:c4
- AI research evidence record anthropic:c21
- AI research evidence record anthropic:c4
- AI research evidence record grok:web:2
- AI research evidence record openai:c1
- AI research evidence record openai:c3
- AI research evidence record anthropic:c2
- AI research evidence record grok:web:0
- AI research evidence record anthropic:c23
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
- 6
- Source records
- 32
- Ranking mentions
- 3 of 6
- Platform share
- 50%
- Final consensus rank
- #4
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
12 independent · 20 company-owned
Evidence support
28 direct · 4 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 f6e5750ea12e585c6d1b7966408d9d8baa04c20115b45682ffd7dcbefb51b6c7