Answer Capsule
Ahrefs is a qualified but contested fit for tracking and improving brand recommendations in AI search. Two of six research platforms named it during ranking discovery, and those two ranked it 4th and 5th (average 4.5). The strongest reason to consider it is Brand Radar's combination of a large search-backed prompt index, custom buyer-prompt tracking, competitor benchmarking, and cited-source analysis inside an established SEO platform. The main limitation is that no reviewed evidence establishes an independent recommendation-quality score, and one independent review documented a 97.5% ChatGPT mention-count discrepancy. Fit ratings split: two platforms rated it good, two mixed, two weak.
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 2 of 6 included platforms |
| Share of included platform responses | 33.3% |
| Average listed rank | 4.5 |
| Best listed rank | 4 |
| Relevant product/model/plan | Ahrefs SEO platform with Brand Radar (All Platforms plus Custom Prompts); Ahrefs Lite or higher for integrated SEO/AEO workflows |
| Overall use-case fit | Mixed to good — strong for SEO-integrated AI visibility monitoring; weaker for recommendation-quality scoring, real-time tracking, and independent validation |
| Research date | 2026-09-18 |
Why Ahrefs Qualified for This Study
Questions This Section Answers
- Is Ahrefs a good choice for AI Search Solutions for Tracking and Improving Brand Recommendations?
- How many AI platforms named Ahrefs during the ranking stage for brand recommendation tracking?
Ahrefs qualified because two platforms — OpenAI and DeepSeek — named it during ranking discovery, meeting the study's two-mention minimum. OpenAI ranked it 4th; DeepSeek ranked it 5th. The remaining four included platforms (Anthropic, Grok, Kimi, Perplexity) evaluated Ahrefs' fit but did not name it in their ranking stage, so the 33.3% platform share reflects ranking-stage mentions only, not fit evaluation.
Qualification carries a material caveat. DeepSeek's response asserted that Brand Radar is a Citare product rather than an Ahrefs product [1], which conflicts directly with Ahrefs-owned documentation describing Brand Radar as an Ahrefs feature [2]. This review treats the Ahrefs-owned documentation as the stronger evidence for product ownership while preserving the conflict as a disclosed uncertainty. The deterministic identity audit also notes that official-site retrieval for ahrefs.com failed during this run, so no official-page excerpt was used as a verified fact source.
The Product, Model, Plan, or Service Most Relevant to AI Search Solutions for Tracking and Improving Brand Recommendations
Questions This Section Answers
- Which Ahrefs plan should a buyer choose if they need Brand Radar All Platforms plus custom prompt tracking?
- Does Ahrefs Brand Radar track custom buyer prompts across multiple AI assistants and locations?
The relevant offer is the Ahrefs SEO platform with Brand Radar, specifically All Platforms access plus Custom Prompts, on Ahrefs Lite or higher for integrated SEO/AEO workflows [5]. Brand Radar is positioned for AI visibility, AI answers, custom prompts, cited pages, competitor benchmarking, and fanout-query discovery [7]. Custom Prompts is intended to track exact buyer questions and can use AI-generated relevant prompts and fanout queries [8].
Custom prompt tracking supports multiple AI assistants, locations, and daily, weekly, or monthly refresh frequencies, with checks calculated per prompt, platform, and location [9]. Brand Radar reports support brands, competitors, market or niche filters, locations, and configurable tracking frequency [10]. Standalone Brand Radar is also sold separately, which matters for buyers who do not want the full Ahrefs suite [11].
Package configuration is genuinely unclear. The ranking-stage description refers to All Platforms plus Custom Prompts, while Ahrefs pricing and help pages describe several standalone and bundled configurations [11]. Perplexity noted that Ahrefs-owned pages show both standalone Brand Radar pricing and a statement that Brand Radar is free in every paid plan [13]. Buyers should confirm the exact package on the purchase date rather than assuming a single canonical bundle.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Ahrefs Brand Radar does well for brand recommendation tracking?
- Is Ahrefs Brand Radar useful for competitor benchmarking and cited-source discovery in AI answers?
The clearest cross-platform agreement is that Ahrefs combines AI visibility measurement with established SEO, competitor, citation, and content analysis. OpenAI called this an advantage for integrated optimization workflow, noting that Ahrefs connects AI visibility analysis with SEO demand, competitor research, cited-page discovery, site auditing, content analysis, and web-visibility data [14]. Grok described seamless integration with established SEO tools for AEO workflows and large-scale prompt data derived from real search data [15]. Anthropic's review noted Brand Radar integrates into Ahrefs' existing SEO suite, showing AI share of voice alongside search demand and web visibility [17].
Platforms also broadly agreed on competitive benchmarking. Brand Radar supports benchmarking AI visibility against competitors, comparing brands and domains, and identifying prompts or cited sources where competitors appear [19]. Independent coverage describes competitor gap analysis and cited-domain tracking that reveal content opportunities [21].
A third area of agreement is that the prompt dataset is large and search-derived rather than synthetic. Ahrefs states it takes real queries from its keyword database, expands them into natural questions via People Also Ask and semantic fanout, then runs prompts through each AI platform [23]. Independent sources describe prompts derived from real People Also Ask data [24]. Prompt-index totals vary widely across sources — figures include 243M+, 271M+, 405M+, 455M+, 456M+, and 475M+ [24] — so the current count should be confirmed rather than assumed.
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- How accurate is Ahrefs Brand Radar at counting AI brand mentions compared with manual verification?
- Does Ahrefs Brand Radar track Claude and Grok, and how often does non-Google chatbot data refresh?
Fit ratings diverged sharply. OpenAI rated Ahrefs a good fit; Perplexity rated it good; Anthropic and Grok rated it mixed; DeepSeek and Kimi rated it weak. That split is the single most important signal in this review, and it maps to how each platform weighted accuracy, refresh frequency, and recommendation-specific depth.
Accuracy is the sharpest conflict. One independent review documented a 97.5% discrepancy in ChatGPT mention counts, reporting Brand Radar showed 3 mentions against an actual count of 123, and attributed this to a keyword-first methodology rather than prompt-level tracking [26]. That was a single test on one brand's query set; whether it generalizes to live production performance is unknown. No reviewed source provides a countervailing accuracy benchmark, and no independent validation of measurement accuracy was located in the OpenAI evidence set.
Platform coverage is inconsistent. Ahrefs-owned help pages list Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot [27]. Grok reported 6 to 7 platforms with occasional Claude or Grok inclusion [29]. TechRadar's review lists Claude among tracked platforms [31], while other independent reviews state there is no Claude or Grok tracking and that non-Google chatbot data refreshes monthly [32]. Ahrefs documentation states Grok new-data collection is currently unavailable because of policy changes [27]. Buyers should treat Claude coverage as unconfirmed.
Refresh frequency is another conflict. Ahrefs marketing materials mention tracking brand mentions and competitor updates in real time, while independent reviews describe monthly refresh for non-Google chatbots [32]. What "real-time" refers to — dashboard updates versus data freshness — is not clarified in the reviewed sources.
Finally, DeepSeek's claim that Brand Radar belongs to Citare rather than Ahrefs [34] is contradicted by Ahrefs-owned documentation and by multiple independent reviews describing Brand Radar as an Ahrefs feature [27]. This review treats the DeepSeek claim as an unresolved factual conflict rather than a settled fact.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Ahrefs Brand Radar distinguish between a brand being mentioned and a brand being actively recommended in AI answers?
- Can Ahrefs export raw AI responses, citations, and prompt metadata for brand recommendation reporting?
Ahrefs covers the monitoring half of this use case well and the recommendation-quality half thinly. On monitoring, the documented capabilities include brand mentions, citations, estimated impressions, and AI Share of Voice [36], with citations defined as a site being included as a verified source, distinct from a mention [37]. Brand Radar correlates AI mentions with search demand, web visibility, YouTube visibility, Reddit visibility, and cited domains and pages [38]. Fanout-query data is documented for ChatGPT and Perplexity and requires relevant AI platform access or a qualifying plan [39].
On recommendation quality, the reviewed materials do not establish an independent recommendation-quality score, factuality benchmark, sentiment standard, or causal measurement of whether AI recommendations produce conversions [40]. Independent reviews state Brand Radar lacks sentiment analysis, citation-link tracking, and brand-perception context, and that it measures backward rather than predictively [42]. Purpose-built competitors distinguish between brand absence, listing, active recommendation, and advice against; Ahrefs does not appear to offer that granular recommendation-context classification [43].
Reporting is functional but not fully documented for enterprise needs. Saved Brand Radar reports can retain brands, competitors, market or niche filters, locations, and custom-query tracking settings [45]. Report Builder is listed as a $99/month optional add-on [46]. Public sources do not fully document report exports, dashboard depth, or scheduled reporting options [47]. Implementation support is similarly thin: custom prompts require a saved Brand Radar report mapped to an Ahrefs project, and Ahrefs provides setup documentation and training materials, but the reviewed sources do not verify dedicated implementation services, managed prompt design, or guaranteed onboarding assistance [49].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Ahrefs cost per month for Brand Radar and custom prompt tracking, and are there setup or cancellation fees?
- What happens when Ahrefs custom prompt checks run out, and can overage charges be disabled?
Pricing is usage- and coverage-dependent, and the reviewed sources conflict on several points. Ahrefs paid plans list Lite at $129/month with 150 tracked custom-prompt checks, Standard at $249/month with 300 checks, and Advanced at $449/month with 600 checks [50]. Standalone Brand Radar is listed at $199/month per single-platform index or $699/month for All Platforms, with All Platforms including 2,500 custom-prompt checks per month [50]. Custom-prompt packages are listed at $50/month for 2,500 checks, $100/month for 7,000 checks, or $250/month for 25,000 checks [50].
Overage is billed monthly after included checks are used, at published rates of $0.020 per check for Basic, $0.015 for Growth, and $0.010 for Scale [50]. Report Builder is a $99/month optional add-on, and Enterprise is listed at $1,499/month with annual commitment and tailored limits [50]. Independent sources add per-seat costs of roughly $40 to $100 per additional user per month depending on tier, plus Content Kit at $299/month and Project Boost at $20 to $200/month per project [52].
Contract terms are comparatively favorable for standard subscriptions. Ahrefs states there are no contracts or setup fees for standard subscriptions and that plans can be changed or canceled at any time; cancellations and downgrades take effect at the end of the current billing period, upgrades take effect immediately, and refunds are generally not issued with limited monthly-subscription refund requests subject to usage review [50]. Enterprise requires an annual commitment [50]. Independent sources report annual billing saves roughly 17% on Lite, Standard, and Advanced, while the $29 Starter plan is monthly-only [54].
Two pricing uncertainties deserve emphasis. First, Brand Radar was included in paid plans during beta and independent reviews state it will eventually become a paid add-on, with no published launch date or price [56]. Second, base plan prices conflict across sources: some list Lite at $99/month and Standard at $199/month [58], while Ahrefs-owned pricing lists $129 and $249 [50]. Pricing confidence is moderate at best.
Best Suited For
Questions This Section Answers
- Who gets the most value from Ahrefs Brand Radar for tracking AI brand recommendations?
- Is Ahrefs a good fit for an in-house SEO team that wants AI visibility monitoring in its existing workflow?
Ahrefs fits teams that already run SEO in Ahrefs and want AI-search monitoring in the same workflow. OpenAI's best-fit list leads with teams already using Ahrefs for SEO who want AI-search monitoring in the same workflow, followed by competitive benchmarking of brand mentions, AI share of voice, cited pages, and cited domains; tracking priority buyer prompts across major AI assistants; and finding content, citation, and fanout-query opportunities [60]. Anthropic's list is similar but narrower: in-house SEO teams already on Ahrefs, agencies managing under 10 clients where integration reduces tool sprawl, companies with strong organic search presence wanting to understand how existing authority translates to AI citations, and B2B SaaS teams prioritizing Google AI Overviews and core chatbots over Claude or specialized platforms [62].
Perplexity framed the fit as one platform for measuring AI visibility across multiple assistants connected to broader SEO workflows, best when brand-recommendation tracking is part of a larger search program rather than the only requirement [64]. Grok's best-fit list is the same shape: existing Ahrefs subscribers seeking integrated AI visibility monitoring, and users prioritizing search demand, web visibility, and competitor benchmarking alongside AI mentions [66].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Ahrefs for tracking and improving brand recommendations in AI search?
- Is Ahrefs a poor fit for agencies managing 20 or more client brands?
Buyers whose core need is recommendation-quality evaluation, personalized or authenticated AI testing, conversion attribution, or independent outcome validation should look elsewhere [68]. OpenAI's not-best-for list includes organizations requiring independent validation of recommendation accuracy or purchase influence, large-scale experimentation across authenticated or personalized AI experiences, buyers needing guaranteed coverage of every AI assistant or retailer-specific recommendation engine, and teams seeking a fully managed implementation or consulting service rather than software [68].
Anthropic's list is more specific about scale and freshness: boutique agencies or consultancies managing 20+ client brands where per-seat costs and project limits make multi-client tracking expensive; companies needing real-time or daily AI recommendation metrics for product decisions; brands requiring prompt-level granularity, sentiment analysis, or citation-source attribution; and teams optimizing primarily for Claude, Grok, DeepSeek, or emerging platforms not covered by Brand Radar [70]. Kimi's list overlaps on recommendation-versus-mention distinction, per-platform surface rates, and SKU-level product recommendation tracking in AI shopping answers [73].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Ahrefs for a buyer who needs daily AI recommendation tracking or Claude coverage?
- When should a buyer choose a specialist AI visibility tool instead of Ahrefs Brand Radar?
Choose a specialist AI-search monitoring vendor when the primary requirement is deeper prompt-level experimentation, response-quality scoring, sentiment classification, or workflow automation rather than SEO integration [76]. Choose an enterprise research or analytics solution when authenticated personalization, controlled experiments, conversion attribution, or retailer and marketplace recommendation engines are central [76]. Choose a broader media or brand-measurement platform when the buyer needs independent brand-lift or purchase-impact evidence instead of visibility and citation metrics [76].
Anthropic named Profound, Analyze AI, and Peec AI for real-time or daily tracking, prompt-level tracking, and comparative testing respectively, and noted Profound supports a broader platform ecosystem on enterprise plans [77]. Kimi pointed to Citare, friction AI, Brand Armor AI, KIME, Pineprompt, and Atom Foundry for recommendation-context classification, SKU-level tracking, MCP integration, and one-time intelligence reports [79]. Grok's alternative trigger is narrower: choose another vendor when pure-play citation tracking or higher engine coverage matters more than SEO integration, or when the buyer does not already use Ahrefs and wants standalone low-cost monitoring [85].
The reverse also holds. Choose Ahrefs over those alternatives when SEO, competitor research, cited-source discovery, and AI visibility need to operate in one established platform [76]. Buyers comparing options across the wider market can review the AI Search Solutions for Tracking and Improving Brand Recommendations index, which covers the full field of ai search geo agencies evaluated for this use case.
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Ahrefs about platform coverage and refresh frequency before signing a contract?
- Can a buyer run a pilot comparing Ahrefs Brand Radar results with manual evaluations before committing?
The reviewed platforms converged on a similar verification list. Confirm which exact AI indexes and platforms are included in the quoted All Platforms package on the purchase date, and whether that includes Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Copilot for the required United States locations [88]. Confirm how location, language, model version, response variability, and repeat runs are controlled or normalized [90]. Confirm whether the platform can distinguish positive, neutral, negative, inaccurate, and competitor-favoring recommendations at the required scale [88].
Confirm the exact limits for custom prompts, platforms, locations, refresh frequency, historical retention, and concurrent projects, and what happens when prompt checks are exhausted — including whether pay-as-you-go charges can be disabled at the account or project level [92]. Confirm whether raw responses, citations, prompts, timestamps, locations, and model metadata can be exported through API or scheduled reporting [94]. Confirm whether Grok, Claude, retailer search, shopping assistants, and authenticated AI experiences are planned or available for the target audience [88]. Confirm what implementation, onboarding, prompt-taxonomy, and support services are included in the quoted plan [90]. Finally, confirm whether Brand Radar's current inclusion in paid plans will remain or when it transitions to a paid add-on and at what cost [98], and whether a pilot comparing Ahrefs results with manual evaluations or another monitoring vendor is possible before committing [88].
Final AI Consensus Verdict
Ahrefs is a qualified fit for AI Search Solutions for Tracking and Improving Brand Recommendations, not a clear winner. Two of six included platforms named it during ranking discovery, at ranks 4 and 5. Fit ratings split three ways: good (OpenAI, Perplexity), mixed (Anthropic, Grok), and weak (DeepSeek, Kimi). That spread is itself the finding — the platforms disagree about whether SEO-integrated AI visibility monitoring is the right shape for this use case.
The strongest case for Ahrefs is workflow integration: a large search-backed prompt index, custom buyer-prompt tracking, competitor benchmarking, cited-source discovery, and fanout-query analysis inside a platform many teams already run for SEO [100]. The strongest case against is that no reviewed evidence establishes an independent recommendation-quality score, one independent review documented a 97.5% ChatGPT mention-count discrepancy [103], non-Google chatbot data is described as monthly rather than real-time [104], Claude coverage is unconfirmed, and Brand Radar's future pricing as a paid add-on is undefined [106].
Buyers already invested in Ahrefs for SEO should treat Brand Radar as a reasonable incremental addition with a pilot and a written platform-coverage confirmation. Buyers whose primary need is recommendation-quality evaluation, daily tracking, or independent outcome validation should evaluate specialist alternatives first. Note that AI-platform agreement does not prove product quality; it reflects how six research platforms assessed the same public evidence.
How This Review Was Produced
This review used the supplied platform fit-research responses for Ahrefs from six included platforms: OpenAI, Anthropic, DeepSeek, Grok, Kimi, and Perplexity. Each platform independently evaluated Ahrefs against the same use case and criteria — recommendation quality, category fit, platform coverage, competitive analysis, measurement depth, reporting usefulness, and implementation support. Ranking statistics reflect only the platforms that named Ahrefs during ranking discovery. Fit ratings, strengths, limitations, pricing, and verification questions were taken from the supplied responses without independent testing. All platform responses are marked platform-reported and not independently verified. The study research date is 2026-09-18.
Methodology Limitations
Several limitations bound these conclusions. All citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Official-site retrieval for ahrefs.com failed during this run, so no official-page excerpt was used as a verified fact source, and the deterministic identity audit notes that identity matching used an exact-name fallback with an unverified reported domain.
Material conflicts remain unresolved: prompt-index totals range from 243M+ to 475M+ across sources; base plan prices conflict between $99/$199 and $129/$249 for Lite and Standard; Claude coverage is claimed by some sources and denied by others; and DeepSeek asserted Brand Radar is a Citare product while Ahrefs-owned documentation and multiple independent reviews describe it as an Ahrefs feature. Brand Radar's transition from included feature to paid add-on has no published date or price. The 97.5% ChatGPT discrepancy came from a single test on one brand's query set and may not represent live production performance. No reviewed source provides independent validation that Ahrefs optimization recommendations improve brand recommendation outcomes. Platform-reported research dates are provenance metadata and do not independently prove freshness. Missing research was not treated as disagreement.
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Sources
Company-Owned Sources
- Free AI Visibility Checker by Ahrefs: Track Your Brand in AI search: https://ahrefs.com/ai-visibility-checker
- How To Choose the Best Prompts to Monitor Your AI Search Visibility: https://ahrefs.com/blog/custom-prompt-tracking/
- Ahrefs Brand Radar: https://ahrefs.com/brand-radar
- Plans & Pricing: https://ahrefs.com/pricing
- AI Marketing Platform for AEO Specialists: https://ahrefs.com/use-cases/aeo
- Recommendation Intelligence: Atom Foundry: https://atomfoundry.dev/products/recommendation-intelligence
- Beniz.ai — AI Discovery Infrastructure: https://beniz.ai/
- About Brand Radar | Help Center - Ahrefs: https://help.ahrefs.com/en/articles/11064852-about-brand-radar
- What is Brand Radar, and how to use it?: https://help.ahrefs.com/en/articles/11064852-what-is-brand-radar-and-how-to-use-it
- How to 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
- How to view fanout queries generated by AI: https://help.ahrefs.com/en/articles/14319115-how-to-view-fanout-queries-generated-by-ai
- ChatGPT Shopping: See Which Products AI Recommends: https://kime.ai/ai-shopping
- Pineprompt | For ecommerce: win the AI recommendation: https://pineprompt.com/solutions/for-ecommerce
- SEORCE - AI-Powered SEO Platform: https://seorce.com/solutions/ecommerce
- AI Shopping Intelligence: Track Product Rankings & Recommendations | Brand Armor AI: https://www.brandarmor.ai/shopping-intelligence
- Brand Radar — AI search visibility monitoring across 5 platforms | Citare: https://www.citare.ai/brand-radar
- AI Recommendation Tracking Software | friction AI: https://www.frictionai.co/product/ai-visibility-recommendation-tracking
Additional AI research evidence107 records
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record grok:0
- AI research evidence record perplexity:c3
- AI research evidence record openai:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c7
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:36-7
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:30-10
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:6-3
- AI research evidence record openai:c2
- AI research evidence record perplexity:c3
- AI research evidence record grok:3
- AI research evidence record grok:5
- AI research evidence record anthropic:36-6
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:32-9
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:8-6
- AI research evidence record anthropic:5-1
- AI research evidence record openai:c8
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:35-4
- AI research evidence record kimi:friction_ai_product
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:17-5
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-3
- AI research evidence record deepseek:c2
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:3-2
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:32-9
- AI research evidence record kimi:friction_ai_product
- AI research evidence record kimi:brandarmor_shopping
- AI research evidence record kimi:kime_shopping
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:35-9
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record kimi:friction_ai_product
- AI research evidence record kimi:brandarmor_shopping
- AI research evidence record kimi:kime_shopping
- AI research evidence record kimi:pineprompt_ecommerce
- AI research evidence record kimi:atom_foundry_intel
- AI research evidence record grok:3
- AI research evidence record grok:5
- AI research evidence record openai:c7
- AI research evidence record openai:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c1
- AI research evidence record kimi:friction_ai_product
- AI research evidence record openai:c6
- AI research evidence record perplexity:c1
- AI research evidence record openai:c5
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:3-4
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-3
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c7
- AI research evidence record anthropic:6-3
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:32-9
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-3
Independent Sources
- Ahrefs Pricing 2026: Plans, Costs, Hidden Fees & Free Options: https://aeoengine.ai/blog/ahrefs-pricing-change
- Ahrefs Pricing 2026: $29–$449/mo (Every Plan Compared: https://clarorank.com/ahrefs-pricing/
- 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 pricing (2026): plans, entry cost, alternatives: https://geotoolstack.com/pricing/ahrefs-brand-radar/
- Alternatives to Ahrefs for monitoring brand presence in generative AI responses: https://grro.io/blog/alternatives-to-ahrefs-for-monitoring-brand-presence-in-generative-ai-responses
- Ahrefs Brand Radar: AI visibility vendor profile | GEO Compass: https://guptadeepak.com/geo-compass/vendors/ahrefs-brand-radar/
- Best AI SEO Tools for 2026: Content Optimization, Keyword Research, and AI Visibility: https://medium.com/@timsoulo/best-ai-seo-tools-for-2026-content-optimization-keyword-research-and-ai-visibility-6e9a13c354db
- Ahrefs Pricing 2026: Real Cost of Every Plan and Trial Rules: https://searchatlas.com/blog/ahrefs-review/
- Ahrefs Pricing 2026: Plans Start at $29/Month: https://thatmarketingbuddy.com/pricing/ahrefs
- Ahrefs Review (2026): SEO Platform with Brand Radar AI: https://tooldirectory.ai/tools/ahrefs
- Ahrefs Pricing and Brand Radar Costs in 2026: https://trakkr.ai/reviews/ahrefs-review/pricing
- Ahrefs Launches Custom AI Prompt Tracking for Brand Visibility: https://www.businesswire.com/news/home/20260120714417/en/Ahrefs-Launches-Custom-AI-Prompt-Tracking-for-Brand-Visibility
- Ahrefs for AI Visibility: Brand Radar Review & What It Still Can't Track: 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.honeyb.ai/blog/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 vs Profound (2026) — Which AI Tracking Tool is Better?: https://www.stylefactoryproductions.com/blog/ahrefs-vs-profound
- Ahrefs Brand Radar: AI Visibility Guide For 2026: https://www.successtechservices.com/ahrefs-brand-radar/
- Ahrefs SEO platform review: https://www.techradar.com/reviews/ahrefs
- 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 evidence107 records
- AI research evidence record deepseek:c2
- AI research evidence record openai:c2
- AI research evidence record grok:0
- AI research evidence record perplexity:c3
- AI research evidence record openai:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c3
- AI research evidence record openai:c4
- AI research evidence record openai:c1
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c7
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:2-2
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:36-7
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:24-6
- AI research evidence record anthropic:30-10
- AI research evidence record anthropic:3-1
- AI research evidence record anthropic:6-3
- AI research evidence record openai:c2
- AI research evidence record perplexity:c3
- AI research evidence record grok:3
- AI research evidence record grok:5
- AI research evidence record anthropic:36-6
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:32-9
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:8-5
- AI research evidence record anthropic:8-6
- AI research evidence record anthropic:5-1
- AI research evidence record openai:c8
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:35-4
- AI research evidence record kimi:friction_ai_product
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record openai:c5
- AI research evidence record openai:c6
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record perplexity:c1
- AI research evidence record anthropic:17-5
- AI research evidence record anthropic:10-1
- AI research evidence record anthropic:15-1
- AI research evidence record anthropic:16-1
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-3
- AI research evidence record deepseek:c2
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:2-1
- AI research evidence record anthropic:3-2
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record grok:0
- AI research evidence record grok:1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:32-9
- AI research evidence record kimi:friction_ai_product
- AI research evidence record kimi:brandarmor_shopping
- AI research evidence record kimi:kime_shopping
- AI research evidence record openai:c2
- AI research evidence record anthropic:20-1
- AI research evidence record anthropic:35-9
- AI research evidence record kimi:citare_brand_radar
- AI research evidence record kimi:friction_ai_product
- AI research evidence record kimi:brandarmor_shopping
- AI research evidence record kimi:kime_shopping
- AI research evidence record kimi:pineprompt_ecommerce
- AI research evidence record kimi:atom_foundry_intel
- AI research evidence record grok:3
- AI research evidence record grok:5
- AI research evidence record openai:c7
- AI research evidence record openai:c2
- AI research evidence record perplexity:c3
- AI research evidence record openai:c1
- AI research evidence record kimi:friction_ai_product
- AI research evidence record openai:c6
- AI research evidence record perplexity:c1
- AI research evidence record openai:c5
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:3-4
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-3
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record openai:c7
- AI research evidence record anthropic:6-3
- AI research evidence record anthropic:3-4
- AI research evidence record anthropic:32-9
- AI research evidence record anthropic:1-1
- AI research evidence record anthropic:1-3
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Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 6
- Source records
- 38
- Ranking mentions
- 2 of 6
- Platform share
- 33%
- Final consensus rank
- #9
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
20 independent · 18 company-owned
Evidence support
16 direct · 5 partial
Important limitation
Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.
Source snapshot SHA-256 7b7041c7ff2b71dad6daeaced1fe90e3a7d71b54e947126c68c7d70500301ea6