Answer Capsule
Ahrefs AI Visibility (inferred) is a qualified but contested fit for mid-market AI visibility tracking. Three of seven platforms named it during ranking discovery, and fit ratings split: one platform rated it "good," four rated it "mixed," and two rated it "uncertain." The strongest reason to consider it is Ahrefs Brand Radar's breadth — search-backed prompt modeling, citation analysis, competitor share-of-voice benchmarking, and historical reporting inside an existing SEO suite. The main limitation is cost and packaging confusion: full multi-platform coverage is widely reported at roughly $828/month all-in, and Ahrefs' own pages conflict on entry pricing, plan bundling, and Grok availability. Buyers should verify current coverage, plan limits, and total cost before purchase.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 3 of 7 platforms (grok, kimi, openai) |
| Share of included platform responses | 42.9% |
| Average listed rank | 6.0 |
| Best listed rank | 4 (openai) |
| Relevant product/model/plan | Ahrefs Brand Radar, using AI Visibility Index and Custom Prompts with the required AI-platform coverage |
| Overall use-case fit | Mixed — one "good," four "mixed," two "uncertain" |
| Research date | 2026-09-19 |
Why Ahrefs AI Visibility (inferred) Qualified for This Study
Questions This Section Answers
- Why did Ahrefs AI Visibility (inferred) qualify for this mid-market AI visibility platform study?
- How many AI platforms named Ahrefs AI Visibility (inferred) during ranking discovery?
Ahrefs AI Visibility (inferred) qualified because three of the seven included platforms named it during ranking discovery, clearing the two-mention minimum: grok (rank 5), kimi (rank 9), and openai (rank 4). Its average listed rank was 6.0 and its best listed rank was 4.
The entity identity is explicitly inferred. The canonical name used throughout this study is "Ahrefs AI Visibility (inferred)," while the product evidence supplied by every platform concerns Ahrefs Brand Radar [1]. One platform's official-site retrieval failed during normalization, so the Ahrefs identity and product naming remain reported but unverified in that response [4]. Buyers should treat the entity-to-product mapping as a research construct, not a confirmed Ahrefs product line.
The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Mid-Market Companies
Questions This Section Answers
- Which Ahrefs product should a mid-market buyer evaluate for AI visibility tracking?
- Is Ahrefs Brand Radar sold standalone or does it require a base Ahrefs subscription?
The relevant product is Ahrefs Brand Radar, purchased with the AI-platform coverage the buyer needs. Platforms describe it as an AI visibility add-on or plan tier with per-index and all-platform options [5]. Ahrefs positions Brand Radar as a way to see any brand's AI visibility, with an AI Visibility Index and Custom Prompts [8].
Packaging is genuinely unclear. One independent review states Brand Radar is bundled into standard Ahrefs plans with prompt volume scaling by tier, while other sources describe it as an optional add-on [10]. Ahrefs' own pricing page shows Brand Radar AI starting from $199/month, and a help article lists $199/month per index and $699/month for all platforms [5]. A separate Ahrefs blog post says Brand Radar can only be purchased monthly for non-Enterprise users [12]. These are conflicting framings of the same product, and the buyer should confirm which applies to their account.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Ahrefs Brand Radar does well for mid-market AI visibility tracking?
- Does Ahrefs Brand Radar support competitor benchmarking and citation analysis?
Platforms broadly agreed on capability breadth. Multiple responses describe Brand Radar tracking mentions, citations, estimated impressions, and AI Share of Voice across major AI surfaces including Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot [13]. Ahrefs' methodology page states AI Share of Voice is calculated from mentions or citations in responses from major AI assistants and Google AI surfaces [17].
Competitor benchmarking drew consistent support. The Overview report shows AI Share of Voice against competitors, and Brand Radar identifies topic gaps where competitors appear but the brand does not [15]. Citation analysis is also consistently described: Ahrefs distinguishes pages AI cited from pages AI found, with a May 2026 update adding bot visits and AI traffic data [18].
Prompt monitoring and historical reporting were widely supported. Custom Prompts can monitor exact buyer questions at monthly, weekly, or daily frequency, where each check represents one prompt execution on one AI platform and location [19]. Historical trend analysis is described as an advantage over competing mid-market tools that lack historical depth [14].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Why do AI platforms disagree about whether Ahrefs Brand Radar is a good fit for mid-market companies?
- Is Ahrefs Brand Radar's AI visibility feature set confirmed or uncertain?
Fit ratings split sharply. One platform rated the fit "good," four rated it "mixed," and two rated it "uncertain." The "good" rating emphasized accessible benchmarking, citation analysis, and standalone purchase availability [21]. The "mixed" ratings centered on cost and packaging confusion [22]. The "uncertain" ratings came from limited verified data: one platform's official-site retrieval failed, and another relied on a competitor comparison table rather than Ahrefs documentation [25].
Several factual conflicts remain unresolved. Ahrefs pages show differing prompt-corpus figures, including 405M+, 455M+, 456M+, and 271M+ prompts [21]. Grok availability is inconsistent: the current help article states new Grok data is temporarily unavailable, while an April 2026 product announcement describes Grok support [21]. One competitor comparison claims Ahrefs lacks competitor AI benchmarking, sentiment tracking, and actionable playbooks, and uses weekly cadence rather than daily tracking — claims that conflict with Ahrefs' own documentation and were not independently confirmed [26].
Independent reviews also report accuracy concerns. One review notes potential underreporting of brand mentions inside ChatGPT and Perplexity compared to pure-play vendors, which Ahrefs attributes to non-deterministic modeling and varying prompt samples [30]. This is a platform-reported dispute, not a settled finding.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Ahrefs Brand Radar cover recommendation tracking, citation analysis, and prompt monitoring for mid-market teams?
- What are the documented limitations of Ahrefs Brand Radar for AI visibility tracking?
Recommendation tracking and prompt monitoring are supported. Brand Radar tracks visibility across Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, Copilot, and other supported surfaces, and Custom Prompts monitor buyer questions at selectable frequencies [31].
Citation analysis is supported. The product reports mentions, citations, cited pages and domains, AI Share of Voice, and estimated impressions, and distinguishes cited sources from retrieved-but-uncited pages [31].
Competitor benchmarking is supported. Brand Radar compares against competitors using AI Share of Voice, mentions, citations, and impressions, with manual brand and competitor configuration [31].
Historical trends and reporting are supported with caveats. Brand Radar provides historical response access, date filtering, trend charts, report-builder widgets, API access for eligible reports, and a Looker Studio connector, though exact historical depth and export limits may vary by plan [31].
Actionable reporting is partially supported. The platform surfaces cited pages and domains, citation gaps, competitor gaps, fanout queries, search demand, web visibility, AI traffic, and bot activity — but these are prioritization inputs, not guaranteed recommendations or performance outcomes [31]. Multiple independent reviews state Brand Radar lacks native content optimization recommendations or execution roadmaps [35].
Documented limitations include modeled rather than census coverage, no access to private or personalized AI conversations, non-deterministic AI responses that make fixed rank tracking inapplicable, and reduced accuracy for brands with low search volume [31]. A dark-query blindspot is also reported: Brand Radar cannot track internally generated AI queries where the model decomposes a user prompt [35].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Ahrefs Brand Radar cost per month for full multi-platform AI visibility coverage?
- Are there overage fees or add-on costs with Ahrefs Brand Radar?
Pricing is layered and conflicting across Ahrefs' own pages, so buyers should treat any single figure as provisional. Ahrefs' pricing page shows Brand Radar AI starting from $199/month [38]. A help article lists single-platform access at $199/month per index and all-platform access at $699/month, including 2,500 custom-prompt checks per month [39]. Custom Prompt packages are separately listed at $50/month for 2,500 checks, $100/month for 7,000 checks, and $250/month for 25,000 checks [39].
Independent sources describe a higher all-in figure. One review states the realistic all-in cost is about $828/month, combining a base Ahrefs plan with the all-platform add-on [41]. Another cites $828–$1,148/month for full coverage [43]. Base Ahrefs plans are reported starting at $129/month [44].
Additional fees are documented. Overage rates are listed at $0.020, $0.015, and $0.010 per check for Basic, Growth, and Scale custom-prompt tiers [39]. Claude custom-prompt checks consume eight checks per update [39]. Beta indexes are currently described as free for paid subscribers, but Ahrefs states beta indexes may become chargeable add-ons after leaving beta [39]. One independent review reports YouTube and TikTok visibility tracking will cost $199/month post-beta [45].
Contract terms are not clearly established. Publicly reviewed pages do not clearly establish the buyer's exact billing commitment, refund policy, cancellation timing, or whether all add-ons follow the same monthly or annual terms [39]. One Ahrefs blog post says Brand Radar can only be purchased monthly except for Enterprise users who can buy annually, but this is not independently confirmed elsewhere [46]. Whether Brand Radar can be cancelled independently from an underlying Ahrefs subscription is also unverified [39].
Best Suited For
Questions This Section Answers
- Who is Ahrefs Brand Radar best suited for among mid-market AI visibility buyers?
- Is Ahrefs Brand Radar a good fit for mid-market companies already using Ahrefs?
Ahrefs Brand Radar is best suited to mid-market companies already paying for Ahrefs. Platforms consistently identify existing Ahrefs subscribers as the strongest fit, because Brand Radar integrates AI visibility insights with traditional SEO signals including search demand, web mentions, and backlink data [47].
It also suits teams needing competitor benchmarking and citation-gap discovery across major AI platforms, and mid-market teams combining broad modeled coverage with a smaller set of monitored buyer prompts [50]. Teams needing historical reports, API access, Looker Studio connectivity, and adjacent SEO, web, Reddit, or YouTube signals are also a reasonable fit [50].
Agencies managing multiple client accounts are named as a fit because Brand Radar is described as independent from project limits [47]. Content and marketing teams conducting audits that need backlink-to-citation correlation are also named [47].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Ahrefs Brand Radar for mid-market AI visibility tracking?
- Is Ahrefs Brand Radar a poor fit for budget-constrained mid-market teams?
Budget-constrained mid-market teams evaluating AI visibility as a standalone purchase are the clearest poor fit. Multiple independent reviews state the all-in cost is prohibitive for agencies, SMBs, and mid-market companies without an existing Ahrefs subscription, and that Peec AI ($199/month for 100 prompts) and Otterly AI ($189/month for 100 prompts) offer comparable tracking at 40–75% lower cost [51].
Teams requiring native sentiment analysis, brand risk monitoring, or per-query context are also poorly served, since Brand Radar does not include these natively [54]. Organizations seeking actionable optimization roadmaps — suggested keyword targets, content angles, or link-building priorities — will not find them in Brand Radar [54].
Brands with limited search volume or niche categories face reduced coverage because Brand Radar depends on the Ahrefs keyword database [56]. Buyers requiring exhaustive real-time monitoring of every prompt or private AI conversation, or fixed keyword-style rankings rather than visibility and citation metrics, are also outside the product's design [57]. Organizations requiring verified prompt volumes or guaranteed attribution from AI visibility to revenue should not expect those [57].
When Another Option May Be Better
Questions This Section Answers
- When is a dedicated AI visibility platform a better choice than Ahrefs Brand Radar for a mid-market company?
- What alternatives to Ahrefs Brand Radar should a mid-market buyer compare before purchasing?
A specialized AI visibility vendor may be better when the buyer needs high-frequency, prompt-level monitoring across a very large custom prompt set with deeper alerting and workflow automation [58]. A lower-cost prompt-tracking product may be better when the buyer mainly needs a limited set of buyer questions and does not need Ahrefs' broader SEO, citation, competitor, and search-demand datasets [58].
An enterprise platform may be better when the buyer requires extensive governance, procurement support, granular permissions, larger-scale API usage, or formal service commitments [58]. A conventional SEO platform may be better when the primary need is organic search rankings rather than AI-answer mentions, citations, and recommendation visibility [58].
Named alternatives in the supplied evidence include Peec AI and Otterly AI for budget-conscious teams, Profound and Dageno AI for native sentiment and brand risk monitoring, and Semrush AI Toolkit and BrightEdge for integrated dashboards when no Ahrefs subscription exists [59]. One platform also names Citedify, Prompt Zero, and Profound for niche category coverage [61]. These are platform-reported recommendations, not independently tested comparisons.
Questions to Verify Before Buying
Questions This Section Answers
- What should a mid-market buyer confirm with Ahrefs before purchasing Brand Radar for AI visibility?
- Which plan limits and coverage details should be verified before signing up for Ahrefs Brand Radar?
Verify platform and geography coverage first. Buyers should confirm which AI platforms and geographic locations are included in the exact Brand Radar package offered to a United States buyer, and whether Grok is currently collecting new data and what historical Grok data remains available [62].
Verify plan limits and pricing scope. Buyers should confirm the exact prompt, check, user, API, export, and report limits for the selected plan, and whether the $699 all-platform price includes the required base Ahrefs subscription or requires a separate one [62]. Whether the Lite plan includes Brand Radar access, and whether per-user fees of $40–$100/month apply separately to the add-on, should also be confirmed [64].
Verify billing and refresh terms. Buyers should confirm whether billing is monthly or annual, what the cancellation, renewal, refund, and downgrade rules are, and how often each AI index refreshes for the selected platforms [62]. Whether Brand Radar can be cancelled independently from an underlying Ahrefs subscription is also unresolved [62].
Verify reporting and alerting. Buyers should confirm whether they can create alerts for material changes in mentions, citations, competitors, or recommendations, and which reports and metrics are available through the API and Looker Studio connector [62]. How location, language, personalization, browsing state, and model-version changes are handled should also be confirmed [62].
Final AI Consensus Verdict
Ahrefs AI Visibility (inferred) is a qualified fit for mid-market AI visibility tracking, not a clear winner. Three of seven platforms named it during ranking discovery, and fit ratings split one "good," four "mixed," and two "uncertain." The strongest case is for mid-market companies already paying for Ahrefs that want integrated AI visibility benchmarking, citation analysis, competitor comparison, historical trend reporting, and targeted prompt monitoring without an enterprise-only implementation [65].
The strongest case against is cost and packaging confusion. Full multi-platform coverage is widely reported at roughly $828/month all-in, and Ahrefs' own pages conflict on entry pricing, plan bundling, and Grok availability [67]. Buyers without an existing Ahrefs subscription, buyers needing native sentiment analysis or actionable optimization roadmaps, and buyers with low search volume or niche categories are weaker fits [69].
Purchase should be conditional on verifying current platform coverage, Grok status, plan limits, billing terms, and total cost. The broader AI Visibility Platforms for Mid-Market Companies index compares this entity against the other finalists in the same study.
How This Review Was Produced
This review aggregates platform-reported fit research collected on 2026-09-19 for the use case "AI Visibility Platforms for Mid-Market Companies." Seven platforms supplied fit assessments: openai, anthropic, deepseek, grok, perplexity, kimi, and google. Each platform evaluated the entity against the same criteria: recommendation tracking, citation analysis, competitor benchmarking, prompt monitoring, historical trends, and actionable reporting.
Ranking-stage statistics count only platforms that named the entity during ranking discovery. Fit ratings, pricing figures, and capability claims are reproduced from platform responses and cited to their supplied source IDs. No independent testing, customer interviews, or vendor briefings were conducted for this review.
Methodology Limitations
Several limitations apply. The entity identity is explicitly inferred: the canonical name is "Ahrefs AI Visibility (inferred)," while all product evidence concerns Ahrefs Brand Radar [71]. One platform's official-site retrieval failed during normalization, so its identity and product naming remain reported but unverified [73].
Platform-reported research dates differ from the authoritative run date. Deepseek's response is dated 2026-06-01, while the remaining platforms are dated 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.
Pricing conflicts were not resolved. Ahrefs pages show differing entry prices, prompt-corpus figures, and Grok availability, and the supplied URLs were collected from platform responses without independent validation [71]. Citations are platform-reported evidence, not independently verified facts. One platform's claims derive from a competitor comparison table rather than Ahrefs documentation and should be treated as unverified [76]. No-search model claims require explicit verification before being described as current facts.
Explore more ai visibility llm monitoring guidance in the category directory.
Sources
Company-Owned Sources
- Ahrefs—AI Marketing Platform Powered by Big Data: https://ahrefs.com/
- Introduction to Brand Radar - Ahrefs: https://ahrefs.com/academy/how-to-use-brand-radar/intro
- Overview - Ahrefs: https://ahrefs.com/academy/how-to-use-brand-radar/overview
- 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/
- Update: 38% of AI Overview Citations Pull From The Top 10: https://ahrefs.com/blog/ai-overview-citations-top-10/
- Only 12% of AI Cited URLs Rank in Google's Top 10 for the Original Prompt: https://ahrefs.com/blog/ai-search-overlap/
- Ahrefs Brand Radar Methodology: How we collect and model AI visibility data: https://ahrefs.com/blog/brand-radar-methodology/
- How to Choose the Best Prompts to Monitor Your AI Search Visibility: https://ahrefs.com/blog/choose-prompts-ai-search/
- How to Choose the Best Prompts to Monitor Your AI Search Visibility: https://ahrefs.com/blog/custom-prompt-tracking/
- 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/
- 76% of AI Overview Citations Pull From the Top 10: https://ahrefs.com/blog/search-rankings-ai-citations/
- Ahrefs Brand Radar: See ANY brand’s AI visibility: https://ahrefs.com/brand-radar
- Plans & Pricing - Ahrefs: https://ahrefs.com/pricing
- 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
- What is Brand Radar, and how to use it? | Help Center: https://help.ahrefs.com/en/articles/brand-radar-guide
- Best AI SEO Tools for 2026: Content Optimization, Keyword Research, and AI Visibility | by Tim Soulo (CMO @ Ahrefs: https://medium.com/@timsoulo/best-ai-seo-tools-for-2026-content-optimization-keyword-research-and-ai-visibility-6e9a13c354db
- Across 75,000 Brands, YouTube Mentions Are the Strongest Signal of AI Visibility, New Ahrefs Report Reveals: https://www.businesswire.com/news/home/20260526119691/en/Across-75000-Brands-YouTube-Mentions-Are-the-Strongest-Signal-of-AI-Visibility-New-Ahrefs-Report-Reveals
Additional AI research evidence76 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:11
- AI research evidence record anthropic:12
- AI research evidence record perplexity:c5
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record perplexity:c4
- AI research evidence record google:1.3.3
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:16
- AI research evidence record openai:c2
- AI research evidence record anthropic:28
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.4.7
- AI research evidence record deepseek:c1
- AI research evidence record kimi:optiseo
- AI research evidence record anthropic:31
- AI research evidence record anthropic:19
- AI research evidence record openai:c4
- AI research evidence record google:1.4.4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:16
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:1
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:30
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:12
- AI research evidence record google:1.4.7
- AI research evidence record anthropic:35
- AI research evidence record anthropic:9
- AI research evidence record anthropic:32
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:1
- AI research evidence record anthropic:26
- AI research evidence record google:1.3.8
- AI research evidence record openai:c1
- AI research evidence record anthropic:33
- AI research evidence record anthropic:34
- AI research evidence record anthropic:24
- AI research evidence record anthropic:1
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:30
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:24
- AI research evidence record anthropic:34
- AI research evidence record anthropic:1
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record anthropic:12
- AI research evidence record google:1.4.7
- AI research evidence record anthropic:33
- AI research evidence record anthropic:30
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:31
- AI research evidence record openai:c4
- AI research evidence record kimi:optiseo
Independent Sources
- Ahrefs Pricing 2026: Plans, Costs & Hidden Fees: https://checkthat.ai/brands/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: AI visibility vendor profile | GEO Compass: https://guptadeepak.com/ahrefs-brand-radar-ai-visibility-vendor-profile/
- Ahrefs Brand Radar: what it is, pricing, and the best alternatives: https://mentionsapi.com/blog/ahrefs-brand-radar-alternatives
- Ahrefs Brand Radar Review 2026: Is It Worth $828/Month?: https://nbound.com/blog/ahrefs-brand-radar-pricing-review-2026
- AI Visibility Dashboard - optiseo: https://optiseo.com/ai-visibility-dashboard/
- Ahrefs Brand Radar Review (2026): Good for SEO Teams, Not Enough for AEO: https://profound.com/blog/ahrefs-brand-radar-review
- Ahrefs AI Features for B2B SEO: Complete Guide (2026: https://saleshive.com/blog/ai-b2b-using-ahrefs-features-seo-2025-guide
- All 35 Ahrefs Features Tested: What's Worth It in 2026: https://searchatlas.com/blog/ahrefs-features/
- Ahrefs Brand Radar Review & Alternatives (2026): Is It Worth the Price?: https://seo-comparison.com/ahrefs-brand-radar-review
- Best AI Search Monitoring Tools for Marketers in 2026 | SeoProfy: https://seoprofy.com/blog/ai-search-monitoring-tools/
- Ahrefs Review 2026: Features, Pricing and Verdict | Target Internet: https://targetinternet.com/resources/seo-tool-review-ahrefs/
- Best AI Citation Tracking Tools in 2026: 6 Tools Compared: https://www.analyticsinsight.net/artificial-intelligence/best-ai-citation-tracking-tools-in-2026
- Ahrefs for AI Visibility: Brand Radar Review & What It Still Can't Track 2026: https://www.ekamoira.com/blog/ahrefs-for-ai-visibility-brand-radar-review-what-it-still-can-t-track-2026
- Ahrefs Brand Radar Alternatives & Review: Is It Worth It? (2026: https://www.ewrdigital.com/blog/ahrefs-brand-radar-review-alternatives-pricing-comparison
- Ahrefs Brand Radar Pricing 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
- How to use Ahrefs for AI visibility analysis: https://www.linkedin.com/posts/chris-long-marketing_seo-tip-you-can-use-ahrefs-ai-citations-activity-7365739785509937156-UVMy
- 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
- Ahrefs Pricing | UsagePricing: https://www.usagepricing.com/blueprint/ahrefs
- AI Search Monitoring Tools 2026: The Best Platforms to Track Mentions, Citations, and Visibility: https://www.useomnia.com/blog/ai-search-monitoring-tools
- Ahrefs vs Profound: Which AI Visibility Tool Is Better?: https://www.youtube.com/watch?v=buQMrMOR-1k
Additional AI research evidence76 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record perplexity:c1
- AI research evidence record deepseek:c1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:11
- AI research evidence record anthropic:12
- AI research evidence record perplexity:c5
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record perplexity:c4
- AI research evidence record google:1.3.3
- AI research evidence record perplexity:c6
- AI research evidence record anthropic:16
- AI research evidence record openai:c2
- AI research evidence record anthropic:28
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.4.7
- AI research evidence record deepseek:c1
- AI research evidence record kimi:optiseo
- AI research evidence record anthropic:31
- AI research evidence record anthropic:19
- AI research evidence record openai:c4
- AI research evidence record google:1.4.4
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:16
- AI research evidence record perplexity:c4
- AI research evidence record anthropic:1
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:30
- AI research evidence record perplexity:c1
- AI research evidence record openai:c1
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:12
- AI research evidence record google:1.4.7
- AI research evidence record anthropic:35
- AI research evidence record anthropic:9
- AI research evidence record anthropic:32
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:1
- AI research evidence record anthropic:26
- AI research evidence record google:1.3.8
- AI research evidence record openai:c1
- AI research evidence record anthropic:33
- AI research evidence record anthropic:34
- AI research evidence record anthropic:24
- AI research evidence record anthropic:1
- AI research evidence record google:1.1.8
- AI research evidence record anthropic:30
- AI research evidence record openai:c1
- AI research evidence record openai:c1
- AI research evidence record anthropic:24
- AI research evidence record anthropic:34
- AI research evidence record anthropic:1
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record anthropic:1
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record anthropic:12
- AI research evidence record google:1.4.7
- AI research evidence record anthropic:33
- AI research evidence record anthropic:30
- AI research evidence record openai:c1
- AI research evidence record anthropic:1
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:31
- AI research evidence record openai:c4
- AI research evidence record kimi:optiseo
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 19, 2026
- Platforms analyzed
- 7
- Source records
- 43
- Ranking mentions
- 3 of 7
- Platform share
- 43%
- Final consensus rank
- #5
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
23 independent · 20 company-owned
Evidence support
37 direct · 6 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 c493161efbe8912207b38bc532649f15f6b705e04bfbed8958ca0349197de7f2