Answer Capsule
Ahrefs is a good fit for identifying and monitoring the third-party sources that appear in AI citation architecture, but it is not a done-for-you authority-building service. Two of the seven platforms in this study named Ahrefs during the ranking stage — a 28.6% share of included platform responses — at an average listed rank of 6.5 and a best rank of 4. Its strongest reason to consider it is Brand Radar's cited-page and cited-domain reporting, which surfaces the publishers, review sites, and communities feeding AI answers. The main limitation is execution: Ahrefs measures and prioritizes third-party coverage but does not secure it, and pricing, platform coverage, and feature bundling are reported inconsistently across sources.
Research Snapshot
| Field | Value |
|---|---|
| Platform mentions in ranking stage | 2 of 7 platforms (deepseek, openai) |
| Share of included platform responses | 28.6% |
| Average listed rank | 6.5 |
| Best listed rank | 4 (deepseek) |
| Relevant product/model/plan | Ahrefs Brand Radar, supported by Site Explorer and backlink/mention analysis |
| Overall use-case fit | Good for discovery, measurement, and prioritization; not a managed authority-building service |
| Research date | 2026-09-17 |
Why Ahrefs Qualified for This Study
Questions This Section Answers
- Is Ahrefs a good choice for AI Citation Services for Building Third-Party Authority?
- Why did only two of seven AI platforms name Ahrefs during the ranking stage?
Ahrefs qualified because it was named by two of the seven platforms whose responses were included in this study — deepseek and openai — clearing the minimum-mention threshold of two. That is a 28.6% share of included platform responses, and it is a minority result: five platforms did not name Ahrefs during ranking discovery. Its average listed rank was 6.5, with a best rank of 4 from deepseek and a rank of 9 from openai.
The qualification is also substantive rather than incidental. Ahrefs operates a large proprietary backlink and crawl index, and its backlink data is treated as an industry-standard reference in SEO comparisons [1]. Brand Radar, its AI visibility product, is positioned to track brand mentions and citations inside AI-generated answers [2]. That combination — a third-party source index plus AI citation reporting — is directly relevant to a buyer trying to map which independent publishers, review sites, directories, and communities appear in a category's citation architecture.
One qualification caveat applies. The deterministic identity audit notes that official-site retrieval failed for at least one mention, that identity was resolved through exact-name fallback, and that the matching reported domain remains unverified. The official website supplied by the buyer is treated as the intended entity, not as independently verified identity evidence.
The Product, Model, Plan, or Service Most Relevant to AI Citation Services for Building Third-Party Authority
Questions This Section Answers
- Which Ahrefs product should a buyer choose if they need to identify third-party sources cited in AI answers?
- Is Ahrefs Brand Radar a standalone purchase or an add-on to a base Ahrefs plan?
The relevant offer is Ahrefs Brand Radar, supported by Site Explorer and backlink/mention analysis. Brand Radar is the component that maps AI visibility, identifies cited pages and domains, compares competitors, and connects AI visibility with SEO, web, YouTube, Reddit, and TikTok data [7]. Site Explorer supplies the backlink and authority layer used to evaluate the third-party sites that Brand Radar surfaces [8].
Ahrefs defines a citation as a page appearing at least once as a cited source in an AI-generated response, and separately records pages that were found but not cited [10]. That distinction matters for this use case: it lets a buyer separate sources that already carry citation authority from sources that are merely retrieved.
Whether Brand Radar is standalone or additive is genuinely unresolved. Ahrefs' own materials describe Brand Radar as a standalone AI-visibility product starting at $199 per month, with custom prompts starting at $50 per month [11]. Independent coverage reports that Brand Radar is an add-on requiring an active base Ahrefs subscription underneath [12], while another independent review states Brand Radar pricing is bundled into standard Ahrefs plans rather than sold as a separate line item [13], and a third reports it was included across all plans at no extra cost during beta [14]. Buyers should treat the purchase structure as an item to confirm in writing.
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Ahrefs does well for building third-party authority?
- Can Ahrefs show which specific third-party URLs AI systems cite?
Agreement was strongest on two points: source-level citation attribution and the measurement-not-execution boundary.
On attribution, multiple platforms independently described the same capability. Brand Radar shows which specific URL a model pulled a mention from, revealing whether a win came from the buyer's own site, Reddit, a review roundup, or a competitor's blog [15]. Reports show cited domains and pages from third-party sites that AI uses as sources [17]. Brand Radar provides citation analysis to identify which sources influence AI mentions of a brand [18]. This is the single most consistent finding across the supplied responses, and it is the capability most directly aligned with mapping a category's citation architecture.
On the execution boundary, the platforms converged from different directions. OpenAI's assessment states plainly that the reviewed product materials describe monitoring, discovery, analytics, API/MCP access, reporting, and source analysis, and do not verify managed journalist outreach, publisher placement, review solicitation, directory submission, or guaranteed third-party citations [19]. Deepseek reached the same conclusion: Ahrefs provides discovery and data, not outreach, negotiation, or placement services [21]. Kimi found no managed editorial outreach, PR placement, or journalist response services [22]. Perplexity characterized the product as strongest for measurement and prioritization rather than execution [23].
A third area of broad, though not unanimous, agreement concerns integration with existing SEO data. Brand Radar data can be cross-referenced with Site Explorer backlink analysis to understand whether citation correlates with link authority in a niche [26]. Site Explorer analyzes backlinks, branded mentions, and AI citations from third-party web pages [27]. Ahrefs' AI ecosystem integrates Brand Radar with legacy backlink analysis [29].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Do AI platforms disagree about whether Ahrefs Brand Radar includes sentiment analysis?
- Is Ahrefs Brand Radar pricing bundled into base plans or charged as a $199–$699 per month add-on?
Disagreement clustered around four issues, and none of them can be resolved from the supplied evidence.
Pricing and bundling. This is the sharpest conflict. Ahrefs' own materials describe Brand Radar as a standalone product starting at $199 per month for a single platform/index and an all-platform option at $699 per month [30]. Independent sources split three ways: bundled into base plans at no extra cost during beta [32], bundled into standard plans rather than sold separately [33], and an add-on requiring a base subscription [34]. One independent review reports $199 per month per platform or $699 per month for all six platforms bundled [35], and another reports select platforms at $398 per month and all platforms at $699 per month [36]. The conflict is unresolved.
Sentiment analysis. One independent review states that Ahrefs' current official documentation does not list a dedicated sentiment score among Brand Radar's core visibility metrics [37]. Another independent review reports that Brand Radar produces share of voice, source-page tracking, sentiment, and trend reporting over time [38]. Whether sentiment was added after beta or remains unavailable is unclear.
Platform coverage and Grok. The AI Visibility Index is described as covering Google AI Overviews, Google AI Mode, ChatGPT, Perplexity, Gemini, and Microsoft Copilot, with custom prompts additionally supporting Claude [39]. Grok coverage is described inconsistently: one Ahrefs help page says Grok data collection is temporarily unavailable because of policy changes, while an Ahrefs April 2026 product update says Grok became available [40]. Independent reviews report engine coverage including ChatGPT, Perplexity, Google AI Overviews, and Gemini [41], and separately note notable gaps in platform coverage [42].
Prompt totals. Ahrefs pages report different prompt totals, including approximately 405 million, 455 million, 459 million, and other figures [39]. One Ahrefs announcement states Brand Radar processes over 239 million prompts every month and indexes 162M+ AI Overviews, 29M+ AI Mode queries, and 100M+ cross-platform queries [43]. Another reports 456M+ search-backed prompts [45] and another 457M+ [46]. These figures are not reconcilable from the supplied evidence.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Ahrefs Brand Radar identify which third-party source types are underrepresented in a category's AI citations?
- Which AI platforms and non-AI channels does Ahrefs Brand Radar monitor for third-party mentions?
The core capability for this use case is cited-source discovery. Brand Radar identifies top cited pages and domains, compares a brand with competitors, and surfaces opportunities to obtain additional mentions in AI answers [47]. Ahrefs advises grouping similar prompts and identifying commonly cited sites to connect with and build authority [49], and describes AI visibility audits that identify frequently cited websites to partner with [50].
Prompt and category research is a second capability. The platform supports custom buyer questions, competitor comparisons, AI-generated prompt suggestions, fanout-query analysis, and search-demand mapping [48]. Custom prompts can monitor buyer questions across platforms, locations, and frequencies, with included allowances and paid check packages [51].
Channel coverage extends beyond AI answers. Brand Radar connects AI visibility with web visibility, SEO, YouTube, Reddit, and TikTok; Reddit visibility is based on threads appearing in search results, and YouTube and TikTok indexes are identified as beta features [47]. Independent reviews confirm TikTok and YouTube mention tracking is in beta and only available to existing Ahrefs customers with a paid plan [52].
Competitive benchmarking is a third capability. Brand Radar reports share-of-voice metrics comparing citation frequency against competitors on the same prompts [54].
The critical gap is gap identification. Multiple platforms state that Brand Radar does not identify underrepresented source categories — for example, that a brand is cited in two review platforms while competitors appear in eight — or recommend specific publisher types to target [56]. One platform's assessment is explicit that no platform searched directly solves gap identification and that this requires manual research or custom analysis layered on top of Brand Radar data. Ahrefs only provides raw visibility data and does not provide automated prescriptive recommendations to fix gaps [58].
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 if a buyer exceeds the included custom-prompt checks?
Reported costs for this use case span a wide range, and the buyer should treat every figure below as requiring confirmation.
| Item | Reported cost | Source |
|---|---|---|
| Brand Radar, single AI platform/index | $199/month | |
| Brand Radar, all platforms | $699/month, including 2,500 custom-prompt checks | |
| Custom prompts, Basic | $50/month for 2,500 checks | |
| Custom prompts, Growth | $100/month for 7,000 checks | |
| Custom prompts, Scale | $250/month for 25,000 checks | |
| Custom-prompt overage | $0.020 / $0.015 / $0.010 per check (Basic / Growth / Scale) | |
| Included custom-prompt allowances | Lite 150, Standard 300, Advanced 600 checks/month; Starter excluded | |
| Base plans | Starter $29, Lite $129, Standard $249, Advanced $449, Enterprise $1,499/month | |
| Advanced plan list price | $449/month monthly, $399/month annual | |
| Additional user seats | $40–$100/month depending on tier | |
| Add-on modules | Report Builder $99/month; Project Boosts $20–$200/month |
Contract terms are partially documented. Month-to-month terms are reported for Starter, Lite, Standard, and Advanced tiers, with annual prepayment offering roughly 17–20% savings, and Enterprise locked to an annual commitment [59]. Ahrefs' general pricing page lists Enterprise at $1,499 per month with an annual commitment, but it is unclear whether that term applies to a Brand Radar-only purchase [61]. The reviewed sources do not fully specify cancellation, refund, or renewal terms for every Brand Radar configuration [61]. No verified public evidence was found for setup fees or long-term lock-in on self-serve tiers [62].
Cumulative cost is the practical concern. One independent assessment estimates a Standard plan plus full Brand Radar at roughly $948 per month for mid-market users, with custom prompts adding $50 per month or more [63]. Another estimates a $328–$948 per month range depending on prompt volume and platform selection. Pricing confidence across platforms was rated moderate by openai, anthropic, perplexity, and grok, and low by deepseek.
Best Suited For
Questions This Section Answers
- Who gets the most value from Ahrefs for building third-party authority in AI search?
- Is Ahrefs worth it for a team that already pays for Ahrefs SEO tools?
Ahrefs is best suited to buyers who need to discover and monitor third-party citation sources and who can execute outreach themselves. The strongest fit profile is a company that already uses Ahrefs for SEO and wants to extend existing workflows into AI citation monitoring without adding a vendor [64].
Specific fit profiles supported by the supplied evidence:
- Companies that need to identify cited domains, pages, competitors, and citation gaps across major AI search platforms [67].
- Teams that want to connect AI citation opportunities with backlinks, web visibility, search demand, Reddit, YouTube, and competitive research [67].
- Organizations able to execute third-party coverage, outreach, partnerships, or content-placement strategies themselves [67].
- Agencies managing multiple clients' AI visibility and competitive citation share-of-voice reporting [69].
- Buyers who primarily want backlink and brand-mention data to map existing authority rather than create new third-party coverage [66].
- Teams needing source-level citation attribution — which specific URLs are cited in AI responses [70].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Ahrefs for AI Citation Services for Building Third-Party Authority?
- Is Ahrefs a good fit for a buyer who needs guaranteed publisher placements?
Buyers seeking managed media relations, guaranteed publisher placements, or a fully outsourced authority-building campaign should not choose Ahrefs for this use case. The reviewed product materials do not verify managed journalist outreach, publisher placement, review solicitation, directory submission, or guaranteed third-party citations [72]. Deepseek's assessment is that buyers with no in-house outreach or PR capability who expect a vendor to secure third-party placements should look elsewhere [74].
Other poor-fit profiles:
- Buyers whose primary need is identifying specific underrepresented publisher categories to target. Brand Radar shows which sources are cited, not gaps or opportunities in source types [75].
- Organizations needing AI citation sentiment analysis as a core requirement, given the unresolved conflict over whether sentiment scoring is included [77].
- Buyers requiring real-time citation tracking. Brand Radar uses scheduled snapshots, described as weekly, rather than continuous updates [79].
- Narrow local or highly specialized markets where modeled prompt coverage may not represent the buyer's actual AI questions [72].
- Budget-constrained buyers. One independent assessment places the minimum combined cost at $328–$948 per month [82].
- Buyers requiring comprehensive coverage of every AI platform or independently validated causal evidence that a citation strategy will improve rankings [72].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Ahrefs for a buyer who needs managed third-party placements?
- When is a free tool like Google Search Console a better choice than Ahrefs Brand Radar?
Choose a managed digital-PR or specialist outreach provider when the buyer lacks internal capacity to secure independent reviews, journalism, analyst coverage, community participation, or directory placements [83]. Named alternatives in the supplied responses include The HOTH's managed AI Discover program starting at $775 per month [84], Cited's monthly retainer with weekly monitoring across ChatGPT, Perplexity, Gemini, and Grok and month-to-month terms [85], Link.Build's AI citation building with editorial link acquisition and author entity building [87], CrowdReply's pay-only-when-published placement model [88], DeepCited's citation engine [89], GetCited.ai's plans with a dedicated AEO consultant and schema markup [90], and Opositive's source prospecting across threads, listicles, review sites, and publications [91].
Choose a free baseline when only Google's native AI product matters. Google Search Console's AI Overview performance report may suffice if tracking only Google AI Overviews, and it provides real-time data on actual user queries triggering AI modes [92]. Bing Webmaster Tools AI Performance is a comparable free option.
Choose a sentiment-native brand monitoring tool when positive/neutral/negative scoring is critical. Mention and Brandwatch natively include sentiment scoring [93].
Choose a backlink-only tool when link prospecting is the sole need. Monitor Backlinks or Majestic are described as more cost-effective and focused than Ahrefs' all-in-one suite [92].
Choose a dedicated AEO platform when implementation guidance is required. LLMrefs, Profound, and Dageno AI are described as AEO-focused platforms with dedicated answer engine optimization guidance, whereas Ahrefs is SEO-first [94].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Ahrefs before signing a contract for Brand Radar?
- Can Ahrefs demonstrate coverage for the buyer's exact category and priority prompts before commitment?
The supplied research identifies a consistent set of unresolved items. Buyers should get written answers before committing.
- Which exact AI platforms, countries, languages, and source types are included in the proposed subscription on the purchase date [95]?
- Is the all-platform $699 option available as a standalone purchase, and what precisely is included beyond the 2,500 monthly custom-prompt checks [96]?
- Is Brand Radar bundled into base plans or charged as an add-on, and does the answer differ for new versus existing customers [98]?
- Are cited domains exportable with URL, publisher category, citation frequency, prompt, country, platform, date, and competitor fields [95]?
- Can the system distinguish independent editorial publishers from vendor-owned pages, affiliate sites, directories, forums, social pages, and user-generated content [95]?
- What are the current refresh intervals and historical windows for each platform and report [95]?
- Does Brand Radar include native sentiment analysis for AI mentions [102]?
- What is the current status of YouTube, TikTok, and Reddit tracking, and is Grok currently available [104]?
- What are the current cancellation, renewal, refund, annual-commitment, user-seat, API, export, and overage terms [106]?
- Can Ahrefs demonstrate coverage for the buyer's exact category, US market, competitors, and priority commercial prompts before commitment [95]?
- Does Ahrefs provide any managed outreach or publisher-placement service, or must the buyer execute all authority-building activities independently [95]?
Final AI Consensus Verdict
Ahrefs is a good fit for discovering and monitoring the third-party citation architecture around a category, identifying credible-source gaps, and prioritizing authority opportunities. It is not a complete authority-building service. Buyers still need PR, outreach, partnerships, editorial, community, or SEO execution, plus independent evaluation of source credibility.
Platform fit ratings split: google and grok rated it strong, openai, anthropic, and perplexity rated it good, and deepseek and kimi rated it mixed. The split tracks the same fault line — platforms that weighted citation discovery and authority mapping rated it higher, while platforms that weighted managed execution and AEO-specific features rated it lower.
The consensus limitations are consistent across platforms: it is a measurement layer rather than a placement service; modeled prompts may not match real audience, niche, geography, or personalization context; beta channel coverage, platform availability, refresh frequency, and pricing can change; and citation presence does not prove source quality, editorial independence, factual accuracy, or that obtaining a particular mention will cause better AI visibility.
Treat current platform coverage, prompt totals, Grok availability, beta status, sentiment availability, and pricing as items to verify before purchase. Agreement among AI platforms in this study reflects the sources they retrieved, not independent verification of product quality.
How This Review Was Produced
This review was produced from a structured multi-platform research run dated 2026-09-17. Seven AI platforms evaluated Ahrefs for the use case "AI Citation Services for Building Third-Party Authority": openai, anthropic, deepseek, grok, kimi, perplexity, and google. Each platform returned a fit assessment, use-case findings, pricing and terms, limitations, and questions to verify before buying.
Two of the seven platforms named Ahrefs during the ranking stage — deepseek and openai — which cleared the minimum-mention threshold of two. The remaining five platforms did not name Ahrefs during ranking discovery, though all seven evaluated its fit. Ranking statistics and fit ratings are reported as supplied.
The consensus index for this category is AI Citation Services for Building Third-Party Authority, which aggregates the full set of provider reviews produced under the same research run.
This review sits within the broader ai citation authority building category, which covers the full set of criteria used to evaluate providers in this space.
Methodology Limitations
Several limitations constrain how this review should be used.
Platform-reported evidence. Citations in this review 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. Company-owned citations materially outnumber independent citations in the supplied catalog, so company claims should not be read as independently verified.
Research date discrepancies. The authoritative run research date is 2026-09-17. Six platforms reported that date. Deepseek reported 2026-01-15, roughly eight months earlier. Deepseek also ran with search disabled, meaning its findings reflect model knowledge rather than retrieved evidence. Platform-reported dates are provenance metadata and do not independently prove freshness.
Identity verification. Official-site retrieval failed for at least one mention. Identity was resolved through exact-name fallback, and the matching reported domain was retained for downstream research but remains unverified. The official website supplied by the buyer is treated as the intended entity, not as independently verified identity evidence.
Unresolved conflicts. Pricing structure, sentiment availability, Grok availability, prompt totals, and refresh windows are reported inconsistently across sources. This review describes the conflicts rather than resolving them. Buyers should confirm each item directly.
Modeled measurement. The AI Visibility Index uses search-backed prompts modeled from Ahrefs keyword and People Also Ask data, with platform- and country-based modeling [108]. It is a modeled measurement system, not a complete census of real user prompts or all AI answers. Visibility, impressions, citations, and share of voice are modeled or comparative metrics, not direct measures of unique users, traffic, conversions, or causal impact [110].
No independent verification of outcomes. The reviewed evidence does not verify guaranteed outcomes, publisher acceptance, or direct control over third-party coverage [111]. No personal testing, customer experience, or independent verification was performed for this review.
Sources
Company-Owned Sources
- How AI Search Engines Work: https://ahrefs.com/academy/aeo-course
- Free Google AI Overviews Tracker - Ahrefs: https://ahrefs.com/ai-overviews-tracker
- Ahrefs AI Visibility Index: https://ahrefs.com/ai-visibility-index
- Ahrefs — Backlink Checker and Site Explorer: https://ahrefs.com/backlink-checker
- How to Monitor and Win Brand Mentions in AI Answers: https://ahrefs.com/blog/?p=191592
- Ahrefs Pricing: How to Choose the Right Ahrefs Plan: https://ahrefs.com/blog/ahrefs-pricing/
- AI Visibility Audit: How to Measure Your Brand's Presence in AI Search: https://ahrefs.com/blog/ai-visibility-audit
- 15 of the Best AI Visibility Tools: https://ahrefs.com/blog/best-ai-visibility-tools
- 10 Ways to Use Ahrefs’ Brand Radar to Grow AI Visibility: https://ahrefs.com/blog/brand-radar-use-cases
- How to Choose the Best Prompts to Monitor Your AI Search Visibility: https://ahrefs.com/blog/how-to-choose-prompts-ai-visibility
- Grok in Brand Radar, higher API limits, and more: https://ahrefs.com/blog/new-features-apr-2026/
- The conference for marketers ready to win in 2026: https://ahrefs.com/blog/product-announcement-ahrefs-adds-youtube-and-reddit-tracking-to-brand-radar/
- SEO and AI Search Monitoring: 7 Core Things to Track Using Free Tools: https://ahrefs.com/blog/seo-monitoring/
- Ahrefs Brand Radar: Turn AI Into Your Newest Sales Channel: https://ahrefs.com/blog/wp-json/wp/v2/posts/192572
- Ahrefs Brand Radar: See ANY brand’s AI visibility: https://ahrefs.com/brand-radar
- Plans & Pricing - Ahrefs: https://ahrefs.com/pricing
- Site Explorer by Ahrefs: The #1 Competitor Analysis Tool: https://ahrefs.com/site-explorer
- AI Marketing Platform for AEO Specialists: https://ahrefs.com/use-cases/aeo
- Citation Outreach for AI Search Visibility - CrowdReply: https://crowdreply.io/features/citation-outreach
- Get Cited by AI - GetCited.ai: https://get-cited.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 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
- What is AI adjusted volume and how is it calculated: https://help.ahrefs.com/en/articles/16755865-what-is-ai-adjusted-volume-and-how-is-it-calculated
- AI Citation Building Services - Link.Build: https://link.build/ai-citation-building
- AI Citation Building Services - Opositive: https://opositive.io/services/ai-citation-building-services
- The AI Citation Agency - Cited: https://wearecited.com/
- How It Works - Cited: https://wearecited.com/how-it-works
- Citation Engine - DeepCited: https://www.deepcited.com/product/citation-engine
- AI Visibility Services | The HOTH: https://www.thehoth.com/ai-search-visibility/
Additional AI research evidence111 records
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record grok:15
- AI research evidence record grok:17
- AI research evidence record openai:c3
- AI research evidence record openai:c8
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:5-8
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:5-7
- AI research evidence record grok:5
- AI research evidence record google:1.2.5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record kimi:search-gap-1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:8-10
- AI research evidence record grok:15
- AI research evidence record grok:17
- AI research evidence record google:1.3.5
- AI research evidence record openai:c8
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:5-8
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:8-14
- AI research evidence record grok:1
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:6-9
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:9-3
- AI research evidence record anthropic:9-4
- AI research evidence record google:1.1.4
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record google:1.2.4
- AI research evidence record google:1.2.6
- AI research evidence record openai:c4
- AI research evidence record anthropic:2-12
- AI research evidence record anthropic:2-13
- AI research evidence record anthropic:6-9
- AI research evidence record anthropic:31-9
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:1-14
- AI research evidence record google:1.1.8
- AI research evidence record google:1.4.9
- AI research evidence record google:1.4.8
- AI research evidence record openai:c5
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:5-8
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:6-9
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:5-7
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:1-14
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:6-9
- AI research evidence record anthropic:3-3
- AI research evidence record openai:c7
- AI research evidence record openai:c9
- AI research evidence record anthropic:27-4
- AI research evidence record openai:c1
- AI research evidence record kimi:hoth-1
- AI research evidence record kimi:cited-1
- AI research evidence record kimi:cited-2
- AI research evidence record kimi:linkbuild-1
- AI research evidence record kimi:crowdreply-1
- AI research evidence record kimi:deepcited-1
- AI research evidence record kimi:getcited-1
- AI research evidence record kimi:opositive-1
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:2-9
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:5-8
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:6-9
- AI research evidence record openai:c6
- AI research evidence record anthropic:2-13
- AI research evidence record openai:c5
- AI research evidence record deepseek:c2
- AI research evidence record openai:c7
- AI research evidence record openai:c9
- AI research evidence record anthropic:4-3
- AI research evidence record openai:c1
Independent Sources
- Search results gap - Ahrefs AI citation capabilities not verified: https://ahrefs.com/
- Ahrefs Pricing 2026: How Much Does It Really Cost?: https://allable.ai
- Ahrefs Pricing 2026: Costs, Add-Ons & Competitors: https://checkthat.ai
- Ahrefs Pricing 2026: $29–$449/mo (Every Plan Compared: https://clarorank.com/ahrefs-pricing/
- Ahrefs AI Features: AI Search Optimization, GEO & SEO Tools: https://compubrain.in
- Ahrefs Brand Radar Review (2026): Features, Pricing: https://connorkimball.com/blog/ahrefs-brand-radar-review-competitor-comparison/
- Ahrefs Brand Radar Review 2026: Features, Pricing, and Who It's Really For: https://dageno.ai/blog/ahrefs-brand-radar-review
- The 10 Best Citation Tracking Software Tools for 2026: https://llmrefs.com/blog/citation-tracking-software
- Ahrefs Pricing in 2026: Is It Worth It for Solo Founders?: https://okara.co
- Ahrefs Brand Radar Review (2026): Good for SEO Teams, Not Enough for AEO: https://profound.com
- Ahrefs Pricing 2026: Real Cost of Every Plan and Trial Rules: https://searchatlas.com/blog/ahrefs-review/
- Brand Radar by Ahrefs: What It Tracks and How to Evaluate It: https://stridec.com/blog/brand-radar-ahrefs/
- Ahrefs Pricing 2026: Plans Start at $29/Month | TMB: https://thatmarketingbuddy.com/pricing/ahrefs
- Ahrefs Pricing Explained (2026): Every Plan Compared: https://tuningdigital.com
- 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 Review 2026: Features, Pricing, Verdict: https://www.layer3labs.io/guides/ahrefs-brand-radar-review
- Ahrefs Brand Radar review for agencies (2026): worth it for client AI visibility?: https://www.rankability.com/blog/ahrefs-brand-radar-review/
- Ahrefs Brand Radar Review (2026): Good for SEO Teams, Not Enough for AEO: https://www.tryprofound.com/blog/ahrefs-brand-radar-review
- Ahrefs Software Pricing & Plans 2026: See Your Cost: https://www.vendr.com/marketplace/ahrefs
Additional AI research evidence111 records
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record deepseek:c1
- AI research evidence record grok:1
- AI research evidence record perplexity:c1
- AI research evidence record google:1.1.1
- AI research evidence record openai:c1
- AI research evidence record grok:15
- AI research evidence record grok:17
- AI research evidence record openai:c3
- AI research evidence record openai:c8
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:5-8
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:5-7
- AI research evidence record grok:5
- AI research evidence record google:1.2.5
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record kimi:search-gap-1
- AI research evidence record perplexity:c1
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:8-10
- AI research evidence record grok:15
- AI research evidence record grok:17
- AI research evidence record google:1.3.5
- AI research evidence record openai:c8
- AI research evidence record openai:c2
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:5-8
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:8-14
- AI research evidence record grok:1
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:6-9
- AI research evidence record openai:c1
- AI research evidence record openai:c6
- AI research evidence record anthropic:5-1
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:9-3
- AI research evidence record anthropic:9-4
- AI research evidence record google:1.1.4
- AI research evidence record grok:0
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record google:1.2.4
- AI research evidence record google:1.2.6
- AI research evidence record openai:c4
- AI research evidence record anthropic:2-12
- AI research evidence record anthropic:2-13
- AI research evidence record anthropic:6-9
- AI research evidence record anthropic:31-9
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:1-14
- AI research evidence record google:1.1.8
- AI research evidence record google:1.4.9
- AI research evidence record google:1.4.8
- AI research evidence record openai:c5
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:27-4
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:5-8
- AI research evidence record deepseek:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record anthropic:6-9
- AI research evidence record anthropic:5-6
- AI research evidence record anthropic:5-7
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record deepseek:c2
- AI research evidence record anthropic:2-7
- AI research evidence record anthropic:1-14
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:6-9
- AI research evidence record anthropic:3-3
- AI research evidence record openai:c7
- AI research evidence record openai:c9
- AI research evidence record anthropic:27-4
- AI research evidence record openai:c1
- AI research evidence record kimi:hoth-1
- AI research evidence record kimi:cited-1
- AI research evidence record kimi:cited-2
- AI research evidence record kimi:linkbuild-1
- AI research evidence record kimi:crowdreply-1
- AI research evidence record kimi:deepcited-1
- AI research evidence record kimi:getcited-1
- AI research evidence record kimi:opositive-1
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:2-9
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record perplexity:c3
- AI research evidence record anthropic:1-15
- AI research evidence record anthropic:5-8
- AI research evidence record perplexity:c5
- AI research evidence record anthropic:3-3
- AI research evidence record anthropic:4-5
- AI research evidence record anthropic:6-9
- AI research evidence record openai:c6
- AI research evidence record anthropic:2-13
- AI research evidence record openai:c5
- AI research evidence record deepseek:c2
- AI research evidence record openai:c7
- AI research evidence record openai:c9
- AI research evidence record anthropic:4-3
- AI research evidence record openai:c1
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 17, 2026
- Platforms analyzed
- 7
- Source records
- 51
- Ranking mentions
- 2 of 7
- Platform share
- 29%
- Final consensus rank
- #7
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
20 independent · 31 company-owned
Evidence support
33 direct · 3 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 7e153d1341e8bc07055af6658c5cba693045b0d16030344a16d1ef053a22daa2