Answer Capsule
Ahrefs is a qualified but contested fit for AI citation tracking. Four of seven platforms named it during ranking discovery, at an average listed rank of 4.25 and a best rank of 2, producing a final rank of 5. The strongest reason to consider it is Brand Radar's combination of large-scale search-backed prompt coverage with cited URL, cited domain, and competitor benchmarking inside an existing SEO suite [1]. The main limitation is that fit ratings split sharply: OpenAI rated it a strong fit, Perplexity rated it good, four platforms rated it mixed, and Kimi rated it uncertain, with independent testers reporting large ChatGPT and Perplexity undercounts [3].
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 4 of 7 platforms (anthropic, deepseek, grok, openai) |
| Share of included platform responses | 57.1% |
| Average listed rank | 4.25 |
| Best listed rank | 2 (openai) |
| Relevant product/model/plan | Ahrefs Brand Radar, including AI Visibility Index and Custom Prompts |
| Overall use-case fit | Mixed across platforms; strong on discovery and benchmarking, weak on verified prompt-level accuracy |
| Research date | 2026-09-17 |
Why Ahrefs Qualified for This Study
Questions This Section Answers
- Is Ahrefs a good choice for AI Citation Tracking Platforms?
- How many AI platforms named Ahrefs in the ranking stage for AI citation tracking?
Ahrefs qualified because four of the seven included platforms named it during ranking discovery, clearing the two-mention minimum. Anthropic ranked it 5th, DeepSeek 6th, Grok 4th, and OpenAI 2nd, giving an average listed rank of 4.25 and a best rank of 2 (openai). Its final rank in the consensus index is 5.
Qualification does not equal endorsement. The platforms that named Ahrefs recommended different configurations: an Ahrefs subscription with AI/Brand Radar features, a Brand Radar add-on, Brand Radar AI with a Custom Prompts package for buyer-specific daily tracking, and the Brand Radar feature within the Ahrefs platform. That spread reflects a real unresolved question about whether Brand Radar is a standalone product or an add-on, which is disclosed below as a conflict rather than resolved.
Three platforms — Google, Kimi, and Perplexity — evaluated Ahrefs' fit but did not name it in the ranking stage, so they are excluded from the mention count. Kimi's evaluation is notably weaker on evidence: it reported that no search results returned for Ahrefs in its citation-tracking competitor landscape and that official website retrieval failed, so its findings are labeled uncertain rather than treated as disagreement.
The Product, Model, Plan, or Service Most Relevant to AI Citation Tracking Platforms
Questions This Section Answers
- Which Ahrefs product should a buyer choose for prompt-level AI citation tracking?
- Does Ahrefs Brand Radar require a base Ahrefs subscription or can it be bought standalone?
The relevant product is Ahrefs Brand Radar, which the platforms describe in two layers: a large prebuilt AI Visibility Index and a metered Custom Prompts system for buyer-defined questions [5]. Brand Radar reports mentions, citations, cited pages, cited domains, and pages found but not cited, distinguishing pages actually cited in an answer from pages merely retrieved in the background [7].
Coverage is consistently described as six AI surfaces: Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot [9]. Grok coverage is contested — one Ahrefs update says Grok became available, while other documentation described it as temporarily unavailable for new data [11].
Whether a base subscription is required is unresolved. Perplexity reported that Ahrefs states Brand Radar AI indexes are separate stand-alone purchases that do not require a base plan, while third-party reviews describe the add-on as sitting on top of a required base plan [12]. Anthropic's configuration names Brand Radar as an add-on to Lite, Standard, Advanced, or Enterprise base plans. Buyers should confirm the purchase path at checkout rather than assume either model.
What the AI Platforms Agreed About
Questions This Section Answers
- What does Ahrefs Brand Radar do well for AI citation tracking according to multiple AI platforms?
- Does Ahrefs Brand Radar distinguish brand mentions from URL citations?
The clearest cross-platform agreement is that Brand Radar separates mentions from citations and reports cited URLs and domains. OpenAI, Anthropic, Grok, Perplexity, and Google all describe citation-level and domain-level reporting, including cited domains and cited pages reports [14]. Independent reviews echo this: one comparison describes Brand Radar as separating pages AI found from pages AI cited [19].
The second area of agreement is scale. Platforms describe a search-backed prompt database modeled from Ahrefs keyword data and Google People Also Ask data, with figures ranging from 100M+ to 473M+ prompts depending on the page and date [20]. Ahrefs states prompts derive from real search behavior rather than synthetic questions [23].
The third is competitor benchmarking. Multiple platforms report AI Share of Voice comparisons, competitor mention and citation gap analysis, and historical trend filtering [24]. Ahrefs also states Brand Radar stores AI responses collected since data collection began and supports historical date filtering [28].
A fourth, narrower agreement concerns integration. Platforms note that Brand Radar sits alongside Site Explorer, backlink data, and organic keyword rankings, allowing citation data to be cross-referenced with link authority [29]. This is company-adjacent and independent evidence combined, not independently verified testing.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How accurate is Ahrefs Brand Radar for ChatGPT and Perplexity citation tracking?
- Is Ahrefs Brand Radar prompt-level tracking or keyword-based snapshot tracking?
Fit ratings split. OpenAI rated Ahrefs a strong fit; Perplexity rated it good; Anthropic, DeepSeek, Grok, and Google rated it mixed; Kimi rated it uncertain. That is one strong, one good, four mixed, and one uncertain — not a consensus.
The sharpest disagreement is accuracy. Independent testers reported that Brand Radar showed 3 ChatGPT mentions against 123 actual mentions, and 6 Perplexity mentions against 212 actual [32]. One review describes a 97.5% discrepancy [34]. These are independent review claims, not company statements, and Ahrefs' own pages do not address them in the reviewed sources. Treat the specific figures as platform-reported test results rather than independently replicated findings.
The second disagreement is methodology. Independent reviewers describe Brand Radar as leaning on a snapshot, keyword-first method rather than true prompt-level tracking, with prompts based primarily on Google search behavior rather than AI search behavior [35]. One review describes an 88% "dark query" blindspot from query fan-out [38]. Ahrefs' own methodology page describes behavioral relevance, semantic fanout, and prompt updating, which does not directly rebut the criticism but shows the company models fan-out [39].
The third is platform coverage. Google, Anthropic, and Grok report that Brand Radar does not track Claude, Meta AI, or Grok in some configurations, and that coverage depends on Ahrefs' roadmap with no published commitment to add new LLMs [40]. This conflicts with the April 2026 Ahrefs update stating Grok became available [44]. The conflict is unresolved in the supplied evidence.
The fourth is pricing. Ahrefs pages report different entry prices, including $199/month, $398/month, and $699/month depending on the page and configuration [45]. Prompt totals also vary across pages, including 400M+, 459M, and 473M+ [48].
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Ahrefs Brand Radar support custom prompts, API access, and Looker Studio reporting?
- Can Ahrefs Brand Radar track Reddit, YouTube, and TikTok citations alongside AI answers?
Brand Radar's core citation capabilities are well documented across platforms. It reports mentions, citations, cited pages, cited domains, and pages found but not cited, and it distinguishes pages cited in an answer from pages retrieved in the background [49]. It shows which URL a model pulled a mention from, so a buyer can see whether a win came from their own site, a Reddit thread, a review roundup, or a competitor blog [51].
Custom Prompts support buyer-defined questions with monthly, weekly, or daily refresh across the supported platforms, and Claude checks consume eight checks per update [52]. Custom prompt allowances vary by plan: Google reports 150/month on Lite, 300/month on Standard, 600/month on Advanced, and 2,500+ on Enterprise [53]. Anthropic reports 2,500 checks/month included at the $699/month tier [54].
Data access includes Ahrefs API, MCP, and a Looker Studio connector where supported, subject to API availability and unit costs [55]. Perplexity reported that public materials do not fully verify prompt-level citation export, alerting, or API access, so treat export depth as unconfirmed (perplexity).
Offsite source monitoring expanded in 2026. Ahrefs added YouTube, TikTok, and Reddit tracking, scanning video descriptions, transcripts, and titles for brand mentions [56]. These were free while in beta, with pricing to be determined post-launch (anthropic).
The main capability gap is execution. Multiple platforms describe Brand Radar as a measurement and research layer without content optimization recommendations, citation-building workflows, sentiment analysis, or campaign management [58]. Buyers should not expect it to close citation gaps, only to surface them.
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Ahrefs Brand Radar cost per month, and are there setup or cancellation fees?
- What are the overage rates and custom prompt package prices for Ahrefs Brand Radar?
Pricing is the least settled part of the evidence. Ahrefs pages report Brand Radar starting at $199/month for a single AI platform index and $699/month for all platforms with 2,500 included custom-prompt checks per month [59]. Other Ahrefs surfaces list $398/month for a select-platform tier, and one independent directory documents the dual listings directly [61].
Custom Prompt packages are listed at $50 for 2,500 checks, $100 for 7,000 checks, or $250 for 25,000 checks, with overage rates of $0.020, $0.015, and $0.010 per check respectively (openai). A check is calculated as one prompt execution multiplied by one LLM and one location (openai). Anthropic describes the Basic package at $50/month as tracking 80 prompts daily on one platform [62].
Base Ahrefs plans are reported at Lite $129/month, Standard $249/month, Advanced $449/month, and Enterprise $1,499/month on monthly billing (anthropic). Independent estimates put full Brand Radar coverage at roughly $828–1,148/month when stacking a base plan, the add-on, and custom prompt packages [63].
Contract terms are partly documented. Ahrefs states there are no contracts or setup fees, that users can cancel anytime from Account Settings, and that the subscription remains active until the end of the billing cycle [64]. Perplexity reports that Brand Radar can only be purchased monthly except for enterprise annual purchase [67]. Anthropic reports the Enterprise plan requires an annual commitment and that annual billing discounts of roughly 17–20% require contacting support. Extra user seats are reported at $40–80/month depending on tier (anthropic).
Pricing confidence is low to moderate across platforms. Buyers should verify the live checkout price, the included check volume, and the overage rate for their exact configuration before purchase.
Best Suited For
Questions This Section Answers
- Who gets the most value from Ahrefs Brand Radar for AI citation tracking?
- Is Ahrefs Brand Radar worth it for teams already paying for Ahrefs SEO tools?
Ahrefs fits best when the buyer already uses Ahrefs for SEO and wants AI citation tracking in the same interface. Independent reviews describe the add-on as the path of least resistance for existing subscribers, with no new login and a database that dwarfs most dedicated platforms [68]. During beta, Brand Radar was included across Ahrefs plans at no extra cost, accessible even on the entry-level Lite plan [70].
It also fits teams that need broad discovery rather than a hand-built prompt list. The AI Visibility Index analyzes hundreds of millions of search-backed prompts modeled from Ahrefs keyword data and People Also Ask data, enabling benchmarking without configuring every prompt manually [71].
It fits organizations benchmarking AI share of voice against competitors, identifying cited pages and citation gaps, and combining AI visibility with search demand, Reddit, and YouTube signals [73]. It fits teams that want both large-scale discovery and a smaller set of buyer-specific custom prompts (openai).
It fits buyers whose primary AI visibility focus is Google AI Overviews and AI Mode, which independent reviewers describe as the most reliable tracking area within Brand Radar [76].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Ahrefs Brand Radar for AI citation tracking?
- Is Ahrefs Brand Radar suitable for buyers who need accurate ChatGPT and Perplexity tracking?
Buyers who need precise prompt-level citation accuracy should look elsewhere or verify heavily first. Independent testers report severe undercounting on ChatGPT and Perplexity, with one test showing 3 ChatGPT mentions against 123 actual and 6 Perplexity mentions against 212 actual [77]. One agency review describes sampling that captures only a fraction of actual AI conversations, making some agencies hesitant to present the numbers as definitive to clients [79].
Budget-constrained buyers are a poor fit. Full coverage is estimated at $828–1,148/month when stacking a base plan, the add-on, and custom prompt packages, and one review describes price as the most common customer complaint [80]. SMBs and in-house teams with $300–500/month budgets are explicitly named as a weak fit by Anthropic.
Buyers optimizing for Claude, Grok, Meta AI, or other non-covered assistants are a poor fit in some configurations, given the reported six-engine ceiling and no published roadmap commitment [81]. This conflicts with the April 2026 Grok update, so buyers should verify current coverage directly.
Buyers who need integrated content production, workflow automation, GA4 attribution, or actionable optimization guidance should not expect it from Brand Radar, which multiple platforms describe as monitoring-only [81]. Buyers seeking independently validated proof that citations cause recommendations, conversions, or revenue will not find it here; the reviewed evidence does not establish that link (openai, deepseek).
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Ahrefs Brand Radar for a buyer who needs accurate daily prompt-level tracking?
- When is a standalone AI citation tracker a better choice than Ahrefs Brand Radar?
A dedicated AI visibility vendor may be better when the buyer needs deeper recommendation sentiment, answer-level scoring, share-of-recommendation analysis, or conversion attribution (openai). Anthropic names Peec AI at $95/month as delivering six-engine coverage at a fraction of the cost, and describes Brand Radar as a hard sell as a standalone AEO tracker [85].
A standalone tool may be better when the buyer does not already pay for Ahrefs. DeepSeek recommends standalone AI visibility platforms under $100–300/month when the buyer is not already in the Ahrefs ecosystem, and Grok recommends dedicated tools like Peec AI or OtterlyAI when daily refreshes or lower cost matter (deepseek, grok).
A specialized platform may be better when the buyer needs canonicalization, deduplication, redirect resolution, or citation lifespan data. Kimi documents competitors offering URL canonicalization and prompt-level citation extraction, domain bucketing by competitor status, and first-seen/last-seen fields with mean URL lifespan data [86]. Kimi also notes that five major AI engines agree on only 9% of most-cited domains, which argues for multi-engine coverage [89].
A platform with confirmed coverage of a specific AI assistant or geography may be better when Ahrefs' current collection policy does not reliably cover that source (openai). Buyers should match the tool to the engines and locations they actually need rather than assume uniform coverage.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Ahrefs before signing a Brand Radar contract?
- Which Ahrefs plan includes full six-engine coverage and custom prompts?
Verify the purchase path first: whether Brand Radar is standalone or requires a base Ahrefs plan for the exact configuration being quoted [90]. Confirm which AI platforms, countries, languages, locations, and device contexts are included today, and whether Grok is currently covered given the conflicting documentation [92].
Confirm the accuracy question directly. Ask what the current documented accuracy rate is for ChatGPT and Perplexity tracking and whether Ahrefs acknowledges the discrepancy rates reported in independent testing [94]. Ask whether citations are captured from live responses, stored responses, sampled responses, or a mixture for each platform (openai).
Confirm the metering economics. Ask how many custom prompt checks are included, what the overage rate is, and whether the buyer can track all required locations and prompt variants within the included checks (openai). Note that Claude checks consume eight checks per update [96].
Confirm data handling. Ask the exact historical retention period, whether historical data can be exported, and how duplicate citations, multiple URLs from one domain, redirects, syndicated content, and uncited retrieved pages are counted (openai). Ask about limits for saved reports, competitors, users, API access, MCP access, exports, and Looker Studio (openai).
Confirm commercial terms. Ask the current monthly and annual cancellation, renewal, refund, and overage terms, and whether any performance guarantees, refunds, or SLAs apply to Brand Radar accuracy (anthropic, openai). Ask when YouTube, TikTok, and Reddit indexes exit beta and what they will cost (anthropic).
Final AI Consensus Verdict
Ahrefs is a qualified fit for AI citation tracking, not a clean one. Four of seven platforms named it in ranking discovery at an average listed rank of 4.25 and a best rank of 2, and its final rank is 5. OpenAI rated it strong, Perplexity good, Anthropic, DeepSeek, Grok, and Google mixed, and Kimi uncertain.
The case for Ahrefs rests on breadth and integration: large search-backed prompt coverage, cited URL and domain reporting, competitor benchmarking, historical filtering, and proximity to Ahrefs' backlink and keyword data [97]. The case against rests on accuracy and cost: independent tests report large ChatGPT and Perplexity undercounts, methodology is described as snapshot and keyword-first rather than true prompt-level tracking, coverage excludes some assistants in some configurations, and full coverage is estimated at $828–1,148/month [100].
Treat Brand Radar as an observability and competitive-intelligence layer rather than a verified causal system for measuring AI recommendations or business outcomes. Buyers already inside Ahrefs with Google AI Overviews as their primary focus have the strongest case. Buyers needing precise, real-time, multi-engine prompt-level accuracy at low cost should verify heavily or evaluate dedicated alternatives. For the broader field, see the AI Citation Tracking Platforms consensus index, and for category context see ai citation authority building.
How This Review Was Produced
This review aggregates fit assessments from seven AI platforms — Anthropic, DeepSeek, Google, Grok, Kimi, OpenAI, and Perplexity — each asked whether Ahrefs fits the AI Citation Tracking Platforms use case. Four platforms named Ahrefs during ranking discovery, meeting the two-mention minimum. Fit ratings, strengths, limitations, pricing details, and verification questions were extracted from each platform's response and compared.
Platform-reported research dates differ: DeepSeek's assessment is dated 2026-06-10, while the other six are dated 2026-09-17. The authoritative run research date is 2026-09-17. DeepSeek also ran without search enabled, so its findings are model-reported rather than retrieval-backed.
Company-owned citations materially outnumber independent citations in the supplied evidence. Company claims are labeled as such and are not described as independently verified. No personal testing, customer experience, or independent verification was performed for this review.
Methodology Limitations
Several limitations apply. Platform-reported research dates differ from the authoritative run date and do not independently prove freshness. 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.
Pricing, product naming, and platform coverage conflict across sources and were not resolved by guessing. Ahrefs pages report different Brand Radar entry prices ($199, $398, $699) and different prompt totals (400M+, 459M, 473M+). Grok coverage is described as both unavailable and newly available. Whether Brand Radar requires a base subscription is disputed. Annual terms, cancellation rules, retention period, geographic granularity, and enterprise commitments were not fully disclosed in the reviewed public sources.
Kimi's assessment is uncertain rather than negative: it reported no search results for Ahrefs in its citation-tracking competitor landscape and a failed official-site retrieval, so its findings reflect missing evidence, not confirmed absence. One normalization note records that official-site retrieval failed for one or more mentions and that identity used an exact-name fallback, leaving the matching domain unverified.
The reviewed evidence does not prove that citation metrics measure recommendation quality, customer choice, or revenue impact. No platform supplied independently validated causal attribution between citations and AI recommendations.
Explore more ai citation authority building guidance in the category directory.
Sources
Company-Owned Sources
- Ahrefs official site: 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 AI Visibility Index: https://ahrefs.com/ai-visibility-index
- 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/
- 10 Ways to Use Ahrefs' Brand Radar to Grow AI Visibility: https://ahrefs.com/blog/brand-radar-use-cases/
- Ahrefs Brand Radar: Get a 360 degree view of your brand: https://ahrefs.com/blog/brand-radar/
- How to Track AI Overviews: Mentions, Citations, Click Loss, and the Traffic Google Won't Show You: https://ahrefs.com/blog/how-to-track-ai-overviews/
- Grok in Brand Radar, higher API limits, and more: https://ahrefs.com/blog/new-features-apr-2026/
- Brand Radar 2.0, YouTube backlinks, social media management: https://ahrefs.com/blog/new-features-aug-2025/
- Brand Radar 2.0, YouTube backlinks, social media management, and more (August 2025: https://ahrefs.com/blog/whats-new-august-2025/
- Ahrefs Brand Radar: See ANY brand’s AI visibility: https://ahrefs.com/brand-radar
- Plans & Pricing - Ahrefs: https://ahrefs.com/pricing
- Ahrefs for AEO: https://ahrefs.com/use-cases/aeo
- Citenso - The AI Citation Sensor | Track Your Brand Across ChatGPT, Claude & Gemini: https://citenso.com/
- Track AI Citations: See If ChatGPT, Perplexity & Gemini Cite You | CiteTrack AI: https://citetrackai.com/features/track-ai-citations/
- What is Brand Radar, and how to use it?: https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it
- How to set up custom prompts to track brand visibility in AI assistants: https://help.ahrefs.com/en/articles/13192745-how-to-set-up-custom-prompts-to-track-brand-visibility-in-ai-assistants
- AI Visibility Metrics: https://help.ahrefs.com/en/articles/15501968-ai-visibility-metrics
- How do I unsubscribe / cancel my subscription / delete my account? | Help Center - Ahrefs: https://help.ahrefs.com/en/articles/73707-how-do-i-unsubscribe-cancel-my-subscription-delete-my-account
- Ahrefs Pricing: How to Choose the Right Ahrefs Plan: https://help.ahrefs.com/en/articles/8243152-ahrefs-pricing-how-to-choose-the-right-ahrefs-plan
- What is Brand Radar, and how to use it? | Help Center - Ahrefs: https://help.ahrefs.com/en/articles/9358200-what-is-brand-radar-and-how-to-use-it
- Cited Domains & Cited Pages - Ahrefs: https://help.ahrefs.com/en/articles/9358204-cited-domains-cited-pages
- Reddit Visibility - Ahrefs: https://help.ahrefs.com/en/articles/9358209-reddit-visibility
- AI Citation Tracking API: Find Where ChatGPT & Perplexity Cite Your Site | MentionsAPI: https://mentionsapi.com/ai-citation-tracking-api
- AI Citation Tracking — Sources ChatGPT, Perplexity cite · Truffle: https://runtruffle.com/features/citation-tracking
- AI Citation Tracker for Sources and Competitors | Trakkr: https://trakkr.ai/ai-citation-tracking
- AI citation tracking: see every cited source - Vercite: https://vercite.io/features/citation-tracking
- AI Citation Tracking for ChatGPT, Perplexity & Gemini: https://www.citationradar.ai/
- Track your brand's AI visibility in two ways with Ahrefs Brand Radar: https://www.facebook.com/Ahrefs/videos/track-your-brands-ai-visibility-in-two-ways-with-ahrefs-brand-radar%EF%B8%8F-ai-visibili/1086561703920376/
- Pricing | Cited: https://www.getcited.in/pricing
Additional AI research evidence103 records
- AI research evidence record openai:c5
- AI research evidence record anthropic:5-16
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:37-3
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record anthropic:5-16
- AI research evidence record perplexity:c7
- AI research evidence record anthropic:4-7
- AI research evidence record openai:c8
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c5
- AI research evidence record anthropic:1-7
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c2
- AI research evidence record google:1.3.7
- AI research evidence record anthropic:5-16
- AI research evidence record openai:c4
- AI research evidence record perplexity:c11
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:1-11
- AI research evidence record openai:c1
- AI research evidence record anthropic:25-4
- AI research evidence record anthropic:25-5
- AI research evidence record grok:web:1
- AI research evidence record openai:c7
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:18-8
- AI research evidence record anthropic:37-3
- AI research evidence record anthropic:36-8
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:35-11
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:37-5
- AI research evidence record anthropic:7-6
- AI research evidence record google:1.1.3
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:11-5
- AI research evidence record anthropic:11-6
- AI research evidence record anthropic:33-7
- AI research evidence record openai:c8
- AI research evidence record google:2.1.3
- AI research evidence record anthropic:9-6
- AI research evidence record perplexity:c9
- AI research evidence record google:1.2.3
- AI research evidence record openai:c5
- AI research evidence record anthropic:5-16
- AI research evidence record anthropic:12-12
- AI research evidence record openai:c2
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:9-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:16-4
- AI research evidence record google:1.1.6
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:9-6
- AI research evidence record google:2.1.3
- AI research evidence record anthropic:9-8
- AI research evidence record grok:web:15
- AI research evidence record anthropic:41-5
- AI research evidence record anthropic:41-3
- AI research evidence record anthropic:43-2
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:2-6
- AI research evidence record openai:c4
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:25-4
- AI research evidence record anthropic:25-5
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:33-3
- AI research evidence record anthropic:37-3
- AI research evidence record anthropic:36-8
- AI research evidence record anthropic:28-8
- AI research evidence record anthropic:10-3
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:11-5
- AI research evidence record anthropic:11-6
- AI research evidence record anthropic:33-7
- AI research evidence record anthropic:13-5
- AI research evidence record kimi:cite-2
- AI research evidence record kimi:cite-3
- AI research evidence record kimi:cite-5
- AI research evidence record kimi:cite-6
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c8
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:37-3
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record anthropic:5-16
- AI research evidence record anthropic:25-4
- AI research evidence record anthropic:37-3
- AI research evidence record anthropic:35-11
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:10-3
Independent Sources
- Ahrefs Brand Radar Review (2026): Features, Pricing Breakdown, and Competitor Comparisons: https://cairrot.com/blog/ahrefs-brand-radar-review
- Ahrefs Brand Radar Review (2026): Pricing Breakdown, Competitor Comparisons, and Features Review | Connor Kimball: https://connorkimball.com/blog/ahrefs-brand-radar-review-pricing-competitor-comparison/
- Ahrefs Brand Radar Review 2026: Does It Meet Expectations?: https://dageno.ai/blog/ahrefs-brand-radar-review-2026
- Ahrefs Brand Radar pricing (2026): plans, entry cost, alternatives: https://geotoolstack.com/pricing/ahrefs-brand-radar/
- Best AI Mode Rank Trackers for 2026 (11 Tools That Track Google AI Mode: 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): Good for SEO Teams, Not Enough for AEO: https://profound.com/blog/ahrefs-brand-radar-review
- Ahrefs Brand Radar Pricing in 2026: Why You'll See Two Different Numbers: https://trakkr.com/ahrefs-brand-radar-pricing-2026/
- Ahrefs Brand Radar Review: Does It Meet Expectations? 2026: https://writesonic.com/blog/ahrefs-brand-radar-review
- 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-2026
- Ahrefs Brand Radar Review: Is It Worth the Extra Cost? — AllAble: https://www.allable.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 Brand Radar Review 2026: Features & Verdict: https://www.arfadia.com/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 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 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/
- Brands Are Tracking AI Visibility, But Are They Measuring The Right Things?: https://www.searchenginejournal.com/brands-tracking-ai-visibility/524311/
- 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
- Ahrefs Brand Radar Review 4 Core Features & RadarKit Alternative 🏆🤖: https://www.youtube.com/shorts/6ZpPQR5xWjI
- Semrush AI Visibility vs Ahrefs Brand Radar vs RadarKit: Best AI Search Platform in 2026?: https://www.youtube.com/watch?v=M3y-9rYHgRg
Additional AI research evidence103 records
- AI research evidence record openai:c5
- AI research evidence record anthropic:5-16
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:37-3
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record anthropic:5-16
- AI research evidence record perplexity:c7
- AI research evidence record anthropic:4-7
- AI research evidence record openai:c8
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c5
- AI research evidence record anthropic:1-7
- AI research evidence record grok:web:0
- AI research evidence record perplexity:c2
- AI research evidence record google:1.3.7
- AI research evidence record anthropic:5-16
- AI research evidence record openai:c4
- AI research evidence record perplexity:c11
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:1-11
- AI research evidence record openai:c1
- AI research evidence record anthropic:25-4
- AI research evidence record anthropic:25-5
- AI research evidence record grok:web:1
- AI research evidence record openai:c7
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:18-8
- AI research evidence record anthropic:37-3
- AI research evidence record anthropic:36-8
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:35-11
- AI research evidence record anthropic:29-1
- AI research evidence record anthropic:37-5
- AI research evidence record anthropic:7-6
- AI research evidence record google:1.1.3
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:11-5
- AI research evidence record anthropic:11-6
- AI research evidence record anthropic:33-7
- AI research evidence record openai:c8
- AI research evidence record google:2.1.3
- AI research evidence record anthropic:9-6
- AI research evidence record perplexity:c9
- AI research evidence record google:1.2.3
- AI research evidence record openai:c5
- AI research evidence record anthropic:5-16
- AI research evidence record anthropic:12-12
- AI research evidence record openai:c2
- AI research evidence record google:1.2.6
- AI research evidence record anthropic:9-6
- AI research evidence record openai:c1
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:16-4
- AI research evidence record google:1.1.6
- AI research evidence record perplexity:c9
- AI research evidence record anthropic:9-6
- AI research evidence record google:2.1.3
- AI research evidence record anthropic:9-8
- AI research evidence record grok:web:15
- AI research evidence record anthropic:41-5
- AI research evidence record anthropic:41-3
- AI research evidence record anthropic:43-2
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:35-2
- AI research evidence record anthropic:35-3
- AI research evidence record anthropic:2-6
- AI research evidence record openai:c4
- AI research evidence record google:1.2.3
- AI research evidence record anthropic:25-4
- AI research evidence record anthropic:25-5
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:33-3
- AI research evidence record anthropic:37-3
- AI research evidence record anthropic:36-8
- AI research evidence record anthropic:28-8
- AI research evidence record anthropic:10-3
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:11-5
- AI research evidence record anthropic:11-6
- AI research evidence record anthropic:33-7
- AI research evidence record anthropic:13-5
- AI research evidence record kimi:cite-2
- AI research evidence record kimi:cite-3
- AI research evidence record kimi:cite-5
- AI research evidence record kimi:cite-6
- AI research evidence record perplexity:c10
- AI research evidence record anthropic:13-5
- AI research evidence record openai:c8
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:31-1
- AI research evidence record anthropic:37-3
- AI research evidence record openai:c2
- AI research evidence record openai:c5
- AI research evidence record anthropic:5-16
- AI research evidence record anthropic:25-4
- AI research evidence record anthropic:37-3
- AI research evidence record anthropic:35-11
- AI research evidence record google:1.1.6
- AI research evidence record anthropic:10-3
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 17, 2026
- Platforms analyzed
- 7
- Source records
- 55
- 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
23 independent · 32 company-owned
Evidence support
55 direct · 0 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 86f3cfa8abb99b19b1e133ace7b92e8857ceb1e497aa8c3fccd8fc5dafbde5c8