Answer Capsule
Scrunch AI is a good fit for AI Citation Analysis Tools, with caveats. Four of the seven platforms in this study named Scrunch AI during the ranking stage — a 57% share of included platform responses — and it finished at an average listed rank of 7.5 (best rank 5). The strongest reason to consider it is direct domain- and URL-level citation capture with prompt, persona, competitor, and historical segmentation [1]. The main limitation is that most detailed evidence is company-owned, pricing and platform coverage conflict across sources, and independent validation of citation accuracy is thin [4].
Research Snapshot
| Field | Finding |
|---|---|
| Platform mentions in ranking stage | 4 of 7 platforms (anthropic, deepseek, openai, perplexity) |
| Share of included platform responses | 57.1% |
| Average listed rank | 7.5 |
| Best listed rank | 5 (perplexity) |
| Relevant product/model/plan | Scrunch Core platform; Enterprise platform; Enterprise platform with compliance focus; Scrunch AI visibility and citation monitoring subscription |
| Overall use-case fit | Strong (2 platforms); Good (3 platforms); Mixed (1 platform); Uncertain (1 platform) — 7 platforms analyzed |
| Research date | 2026-09-17 |
Why Scrunch AI Qualified for This Study
Questions This Section Answers
- Is Scrunch AI a good choice for AI Citation Analysis Tools?
- Why did Scrunch AI qualify for this AI citation analysis tools study?
Scrunch AI qualified because it directly addresses the study's core criteria: identifying cited domains and URLs, prompt context, competitor citations, source overlap, citation architecture, platform differences, historical movement, and citations appearing alongside brand recommendations. Four platforms named it during ranking discovery, and its own documentation describes citation capture at the domain and URL level, including brand, competitor, and third-party sources [7]. Independent reviews corroborate that Scrunch continuously records every domain and URL that LLMs cite in responses to monitored prompts [8].
The tool also qualified because it is purpose-built for the category rather than adapted from a general SEO suite. Its public materials describe a broader product combining monitoring, auditing, optimization, and agent-specific content delivery [9]. That breadth is relevant to buyers who want to act on citation findings, though it also means the product is wider than citation analysis alone.
One qualification caveat: one platform (kimi) could not verify that Scrunch AI offers AI citation monitoring at all and described it as an influencer marketing platform [10]. That finding conflicts with six other platforms and with Scrunch's own site, and it is disclosed here rather than resolved.
The Product, Model, Plan, or Service Most Relevant to AI Citation Analysis Tools
Questions This Section Answers
- Which Scrunch AI plan is most relevant for AI citation analysis tools?
- Does Scrunch AI's Core plan include URL-level citation tracking for AI citation analysis?
The most relevant offering is Scrunch's citation monitoring capability, sold as part of the Core and Enterprise platforms. Scrunch says it automatically captures every URL AI platforms cite and lets users analyze citations at the URL or domain level [11]. Its monitoring page emphasizes domains and URLs specifically, which is the output format citation analysis buyers need [12].
Plan naming is inconsistent across sources. Scrunch's pricing FAQ lists Core at $250 per month and Enterprise at custom pricing [13]. One pricing page summary shows Core (brands) at $250/month and Agency Core at $500/month [14]. A separate pricing result reports Growth at $417/month billed annually or $500 month-to-month [15]. One review reports Starter at $300/month month-to-month or $250/month annually, Growth at $500/month month-to-month or $417/month annually, and Enterprise custom [16]. Another review describes a Brand Core plan at $300/month monthly or $250/month annual for 125 unique prompts, 5 site audits, and 1 brand workspace [17].
The Agent Experience Platform (AXP) is a separate forward-looking component. It launched as a pilot in mid-2025 and remained in limited availability as of early 2026, so it should be treated as a roadmap commitment rather than a day-one feature [18]. Whether AXP is included in Enterprise pricing or sold separately is unclear [20].
What the AI Platforms Agreed About
Questions This Section Answers
- What do AI platforms agree Scrunch AI does well for citation analysis?
- Is Scrunch AI's domain- and URL-level citation tracking confirmed across platforms?
Platforms agreed most strongly on citation capture depth. Scrunch tracks cited domains and individual URLs at the prompt level, identifying third-party sources AI models pull from [21]. The Citations dashboard surfaces which domains AI models reference and flags gaps where competitors get cited [22]. Scrunch's own materials state that monitoring captures sources cited by AI platforms at both domain and URL level, including brand, competitor, and third-party sources [23].
Platforms also agreed on segmentation and prompt context. Scrunch supports custom brand context, competitors, personas, topics, and tracked prompts, and citation views can be filtered by prompt type, persona, country, topic, funnel stage, platform, and citation owner [24]. Independent reviews confirm personas simulate different buyer types, with a CFO researching enterprise software seeing different AI responses than a marketing manager [26].
A third area of agreement was the named-versus-cited distinction. Scrunch separates visibility (brand mentioned in the answer) from citation (brand referenced as a source) and reports named-versus-cited down to the specific prompt, showing whether a brand appeared or was a footnote [27]. This distinction is uncommon in basic mention-only trackers.
Competitor benchmarking drew agreement as well. Scrunch surfaces competitive presence showing how a brand's citations and mentions compare to competitors across specific prompts and AI platforms [29]. Its Influence Score combines citation consistency with the number of unique prompts citing a source, supporting prioritization of recurring sources rather than one-off placements [32].
Where the AI Platforms Disagreed or Were Uncertain
Questions This Section Answers
- Which AI platforms are included in Scrunch AI's Core plan versus Enterprise?
- How often does Scrunch AI refresh its citation data?
Platform coverage is the largest disagreement. One independent review states Scrunch tracks eight major AI systems: ChatGPT, Claude, Gemini, Perplexity, Google AI Mode, Google AI Overviews, Meta AI, and Microsoft Copilot, with Grok support listed as coming soon [34]. Another review lists ChatGPT, Perplexity, Claude, Meta AI, Gemini, Google AI Overviews, and Google AI Mode [35]. A third source reports Core covers 4 LLMs (ChatGPT, Perplexity, Google AIO, Copilot) while Enterprise covers 9 LLMs including Claude, Gemini, Grok, and Meta AI [36]. Google's platform response states the entry-level Brand Core plan supports only 4 major engines, with Anthropic Claude and Meta AI gated behind the custom-priced Enterprise tier [37]. Scrunch's own public materials describe monitoring across major AI platforms but do not provide a complete, consistently maintained coverage specification in the reviewed pages [40].
Data refresh cadence is also disputed. One review reports approximately every 3 days [41]. Another notes weekly (not daily) updates as a weakness, insufficient for fast-moving optimization campaigns [42]. No published SLA was found.
Pricing conflicts are material. Scrunch's pricing FAQ lists Core at $250/month [43], while one review reports Starter at $300/month month-to-month or $250/month annually [45]. One pricing page summary shows Growth at $417/month billed annually or $500 month-to-month [46]. The exact boundary between brand, agency, and enterprise packaging is not fully clear from public materials [45].
Two further uncertainties stand out. First, one comparative review reported errors in Scrunch's citation domain reporting, with some high-cited domains returning no visible brand mention, competitor mention, or topic data [47]. Second, one platform (kimi) found no verifiable evidence that Scrunch AI offers AI citation monitoring at all and described it as an influencer marketing platform [48]. That finding conflicts with six other platforms and with Scrunch's own site, and it is disclosed here rather than resolved.
Use-Case-Specific Features and Capabilities
Questions This Section Answers
- Does Scrunch AI show which citations appear alongside brand recommendations?
- Can Scrunch AI track historical citation movement and citation half-life?
Scrunch's citation architecture support is its strongest use-case match. It tracks cited domains and individual URLs at the prompt level, identifying which third-party sources AI models pull from when generating answers [49]. The Citations dashboard surfaces authoritative domains and flags citation gaps where competitors appear and the brand does not [50]. Scrunch's own materials describe a Citations tab tracking citations by owner (brand-owned, competitor, or third-party), top domains cited for specific prompts, and a complete breakdown of URLs with a proprietary Influence Score [51].
Prompt context and segmentation are well documented. The platform supports custom brand context, competitors, personas, topics, and tracked prompts, with filtering by branded versus non-branded prompts, tags, persona, country, topic, platform, funnel stage, and citation owner [53]. Independent reviews confirm prompt organization into categories and clusters with separate performance dashboards and competitive benchmarks [55].
Competitor citations and source overlap are supported. Scrunch reports competitor visibility, competitor webpages, and third-party sources that win citations [56]. Competitive analysis reveals where smaller competitors dominate AI recommendations while established brands are invisible [57].
Historical movement is addressed through citation half-life research. Scrunch publishes data on citation survival rates, showing that the average citation lasts about 4.5 weeks before rolling over, with ChatGPT citations turning over fastest (~3.4 weeks) and Perplexity citations persisting longest (~5.8 weeks) [58]. Scrunch positions historical monitoring as a way to identify recurring citation patterns over time rather than relying on individual snapshots [56].
Citations alongside brand recommendations are partially addressed. Scrunch's positioning explicitly ties visibility to whether brands are cited and recommended in AI answers [60]. The documented workflow identifies sources associated with AI responses and allows analysis of branded versus non-branded prompts, but the reviewed materials do not clearly document a dedicated report specifically isolating citations that appear alongside brand recommendations [53].
Two capability limits are documented. Scrunch states that JavaScript-only pages, bot blocking, and temporary retrieval errors can prevent it from accessing full page content from citation sources, which can limit source-content analysis [61]. And the platform identifies optimization opportunities but stops short of making them actionable, leaving users to determine next steps [62].
Pricing, Fees, Contracts, and Ongoing Costs
Questions This Section Answers
- How much does Scrunch AI cost per month for AI citation analysis?
- Are there setup, seat, or overage fees with Scrunch AI?
Scrunch publicly lists Core at $250 per month and Enterprise at custom pricing [64]. One pricing page summary shows Core (brands) at $250/month and Agency Core at $500/month, with Agency Enterprise as custom pricing [65]. A separate pricing result reports Growth at $417/month billed annually or $500 month-to-month, plus annual billing at a 17% discount and add-on seats at $25/month [66]. One review reports Starter at $300/month month-to-month or $250/month annually, Growth at $500/month month-to-month or $417/month annually, and Enterprise custom [67]. Another review describes a Brand Core plan at $300/month monthly or $250/month annual for 125 unique prompts, 5 site audits, and 1 brand workspace, with additional user seats at $25/month each [68].
Credit consumption mechanics matter for cost planning. One review reports that tracking a single prompt across 4 platforms counts as 4 credits instead of 1, drastically reducing effective prompt capacity [69]. Another reports Core includes 350 prompts, 3 personas, 5 site audits/month, 1 page optimization/month, and 5 user licenses [70]. A third reports Core includes 125 unique prompts, 4 LLMs, and 5 competitors [71]. These limits conflict and should be verified directly.
Additional fees are unclear. Enterprise implementation, additional usage, integrations, compliance requirements, or services fees are not specified in reviewed public sources [64]. One source states Claude and AXP crawler analytics are available only on Enterprise [72], while other sources indicate Claude tracking is available on Core/Growth plans [73]. Site audit features are limited to 5 audits/month on Core, with additional audits potentially incurring costs that are not specified [70].
Contract and cancellation terms are largely undocumented. Monthly versus annual commitment, cancellation notice, renewal terms, refunds, and data-export rights are unclear [64]. A free 7-day trial is referenced in Scrunch's citation-tracking guide [75]. One third-party summary reports the trial requires no credit card [77]. Annual billing offers a 16-17% discount versus month-to-month [70]. Scrunch's terms of use state that total liability is capped at the greater of amounts paid in the prior 12 months or $1,000 USD, and that disputes are governed by Utah law with arbitration and class-action waiver provisions (official:C3).
Best Suited For
Questions This Section Answers
- Is Scrunch AI worth it for mid-market and enterprise teams tracking AI citations?
- Which buyers get the most value from Scrunch AI's citation analysis features?
Scrunch is best suited for mid-market and enterprise marketing, SEO, content, and digital teams monitoring AI citations across multiple platforms [78]. It fits companies needing competitor and third-party citation analysis, source prioritization, and historical movement [79]. It also fits organizations willing to purchase a broader AI-search visibility and optimization platform rather than a narrow citation-only tracker [80].
Agencies managing multiple client accounts are a strong fit. Scrunch supports multi-brand management with separate dashboards and role-based access control, which matters for agencies tracking multiple clients [81]. Enterprise brands requiring SOC 2 Type II compliance and multi-brand RBAC dashboards are also well matched; Scrunch maintains SOC 2 Type II certification, HIPAA compliance readiness, GDPR readiness, and SAML/OAuth SSO with support for Okta and Azure AD [83].
Teams using GA4 integration to attribute AI referral traffic and understand agent behavior are another fit. Scrunch integrates with Google Analytics 4 to track which AI crawlers visit a site, which pages they access, and how often, and attributes AI referral traffic back to specific AI sources and prompts [86].
Probably Not Best Suited For
Questions This Section Answers
- Who should not choose Scrunch AI for AI citation analysis?
- Is Scrunch AI a poor fit for small teams or solo marketers?
Small businesses, freelancers, and solo marketers on tight budgets are a poor fit. At $250–$300/month entry price, Scrunch is positioned as premium for basic AI visibility tracking and is considered overkill for small businesses [89]. One review states Scrunch AI is a poor fit for freelancers and small businesses, with the price unjustifiably high for the value provided to this segment [91].
Teams needing daily or real-time data updates should look elsewhere. Scrunch updates citation and visibility data approximately every 3 days, which reviews indicate is slower than daily-refresh competitors and insufficient for fast-moving optimization campaigns [92].
Organizations requiring hands-on content generation or optimization execution are also not well matched. Scrunch provides content suggestions and identifies visibility gaps but does not offer content creation or publishing capabilities [94]. One review notes the platform shows problems but does not suggest fixes, requiring a separate team to act on recommendations [95].
Buyers seeking a unified tool combining traditional SEO auditing with AI visibility monitoring should note that Scrunch focuses on the AI channel [90]. And buyers requiring independently audited citation data or guaranteed coverage of every relevant AI platform will not find that assurance in the reviewed public materials [96].
When Another Option May Be Better
Questions This Section Answers
- What is a better alternative to Scrunch AI for a buyer who needs lower-cost citation tracking?
- When should a buyer choose a different AI citation analysis tool over Scrunch AI?
A lower-cost specialist tracker may be better when the requirement is limited to basic prompt-level visibility and citation checks [98]. One platform response lists alternatives including CitationRadar at $39–$199/month, Citingly from free to $149+/month, CiteMetrix Starter at $79/month, and Cited at $79–$499/month [99]. These are platform-reported competitor prices and were not independently validated.
A more enterprise-oriented or independently benchmarked platform may be better when the buyer needs transparent methodology, stronger governance evidence, broad platform assurance, or formal data-access commitments [98]. One platform response specifically recommends evaluating alternatives when the buyer needs independently audited accuracy benchmarks [103].
A broader SEO suite may be better when AI citation monitoring must be tightly integrated with existing keyword, backlink, content, and technical SEO workflows [98]. One platform response notes competitors like CrawlRaven and Indexly cover both SEO and AI auditing, while Scrunch is AI-native [104].
A tool with daily or real-time updates may be better when the buyer needs near-real-time visibility changes [105]. And a tool with built-in content generation may be better when the buyer needs full-cycle execution support rather than monitoring and recommendations [107].
Questions to Verify Before Buying
Questions This Section Answers
- What should a buyer confirm with Scrunch AI before signing a contract?
- Which AI platforms and prompt limits are included in the Scrunch AI plan being quoted?
Buyers should verify platform coverage, prompt limits, and pricing directly with Scrunch before purchasing. The reviewed public materials conflict on which AI platforms are included at each tier, how prompts are counted against limits, and what the current plan names and prices are.
Specific items to confirm:
- Which exact AI platforms, models, regional experiences, and recommendation surfaces are included in Core and Enterprise [109]?
- Are citations captured at both final-answer and underlying-search-result levels [109]?
- How are prompt runs sampled, scheduled, deduplicated, and normalized across platforms [109]?
- What are the included monthly prompts, domains, URLs, users, workspaces, competitors, API calls, and historical retention limits [109]?
- Can reports isolate citations appearing specifically with positive, neutral, or negative brand recommendations [113]?
- How are inaccessible, JavaScript-rendered, bot-blocked, redirected, syndicated, or duplicate URLs handled [114]?
- What are the enterprise compliance controls, subprocessors, data-retention rules, SSO options, audit support, and contractual security commitments [115]?
- Are setup, integrations, API access, overages, custom reporting, and managed services charged separately [116]?
- What are the annual commitment, cancellation, renewal, refund, and data-export terms [116]?
- Can Scrunch provide a customer-specific sample export showing prompt, answer, citation URL, platform, timestamp, competitor, and historical fields [109]?
- What is the current production status and rollout timeline for Agent Experience Platform (AXP), and is it included in Enterprise pricing or sold separately [117]?
- What is the official data refresh cadence, and are there SLA guarantees [119]?
Final AI Consensus Verdict
Scrunch AI is a good fit for AI citation analysis tools, with conditions. Four of seven platforms named it during ranking discovery, and its citation capture at the domain and URL level, prompt and persona segmentation, competitor benchmarking, and historical monitoring align directly with the study's criteria [121].
The consensus is not unanimous. Three platforms rated it strong (google, grok), three rated it good (anthropic, openai, perplexity), one rated it mixed (deepseek), and one rated it uncertain (kimi). The uncertain rating reflects a failure to verify that Scrunch offers AI citation monitoring at all, which conflicts with six other platforms and with Scrunch's own site [124].
Buyers should shortlist Scrunch for mid-market and enterprise citation analysis, but purchasing should be conditional on verifying current platform coverage, methodology, recommendation-specific reporting, included usage, data retention, and enterprise terms. The reviewed public evidence is primarily company-owned, and independent validation of citation accuracy, coverage, and historical consistency is limited [125].
How This Review Was Produced
This review synthesizes fit-research responses from seven AI platforms (anthropic, deepseek, google, grok, kimi, openai, perplexity) collected for the AI Citation Analysis Tools use case. Each platform independently evaluated Scrunch AI against the study's criteria: identifying cited domains and URLs, prompt context, competitor citations, source overlap, citation architecture, platform differences, historical movement, and citations appearing alongside brand recommendations.
Platform responses were compared for agreement and disagreement. Where platforms conflicted, both positions are reported. Where evidence was company-owned, that is disclosed. Where a platform could not verify a claim, that is labeled as platform-reported or unverified. The research date is 2026-09-17.
Methodology Limitations
Several limitations apply to this review.
Platform-reported research dates differ from the authoritative run date. Deepseek's response is dated 2026-01-15, while the other six platforms are dated 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.
Platform mentions count only platforms that named the entity during ranking discovery. All seven platforms evaluated fit, but only four named Scrunch AI during the ranking stage.
Conflicting product names, pricing, and capabilities were not resolved by guessing. Where sources conflict, the conflict is described and buyers are directed to verify.
The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.
The reviewed public evidence is primarily company-owned. Independent validation of citation accuracy, coverage, and historical consistency is limited. One platform (kimi) could not verify that Scrunch AI offers AI citation monitoring at all, and that finding is disclosed rather than resolved.
Explore more ai citation authority building guidance in the category directory.
Sources
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- Scrunch AI Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10030499/Scrunch-AI/
- Sitecore Acquires Scrunch For AI Brand Presence: https://www.cmswire.com/digital-experience/sitecore-acquires-scrunch-for-ai-brand-presence
- Scrunch AI Pricing: https://www.g2.com/products/scrunch-ai/pricing
- Scrunch Review & Pricing 2026: Now a Sitecore Company: https://www.get-ryze.ai/blog/scrunch-review-pricing-2026
- Scrunch AI Raises $15 Million Series A: https://www.prnewswire.com/news-releases/scrunch-ai-raises-15-million-series-a-to-rebuild-the-internet-for-ai-consumption-302203014.html
- Scrunch AI review for agencies (2026) | Rankability: https://www.rankability.com/blog/scrunch-ai-review/
- Scrunch AI Review: Is This GEO Tool Worth $250/Month? | Scalenut: https://www.scalenut.com/blogs/scrunch-ai-review
- AI SEO Tracking Tools 2026: Comparative Analysis of Over 10 Platforms | Search Influence: https://www.searchinfluence.com/blog/ai-seo-tracking-tools-2026-analysis-platforms/
- Best AI Citation Tracking Tools for AI Visibility (2026: https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-citation-tracking
- Scrunch AI Review 2026: What $300/mo Gets ... - Analyze AI: https://www.tryanalyze.ai/blog/scrunch-ai-review
- Scrunch AI Review: Can it compete with serious AI visibility tools? | Try Profound: https://www.tryprofound.com/blog/scrunch-ai-review
- Best Citation Analysis Options for Optimizing AI Search in 2026 | Use Omnia: https://www.useomnia.com/blog/best-citation-analysis-options-optimizing-ai-search
Additional AI research evidence126 records
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c5
- AI research evidence record openai:c6
- AI research evidence record perplexity:c3
- AI research evidence record kimi:scrunch_unclear_1
- AI research evidence record openai:c1
- AI research evidence record anthropic:c3
- AI research evidence record openai:c7
- AI research evidence record kimi:scrunch_unclear_1
- AI research evidence record perplexity:c5
- AI research evidence record perplexity:c10
- AI research evidence record openai:c9
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record google:2.1.7
- AI research evidence record anthropic:c24
- AI research evidence record anthropic:c25
- AI research evidence record anthropic:c26
- AI research evidence record anthropic:c1
- AI research evidence record anthropic:c2
- AI research evidence record openai:c1
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:c9
- AI research evidence record anthropic:c11
- AI research evidence record anthropic:c12
- AI research evidence record anthropic:c13
- AI research evidence record anthropic:c14
- AI research evidence record anthropic:c15
- AI research evidence record openai:c5
- AI research evidence record google:1.2.7
- AI research evidence record anthropic:c5
- AI research evidence record anthropic:c6
- AI research evidence record grok:web:10
- AI research evidence record google:2.1.1
- AI research evidence record google:2.1.4
- AI research evidence record google:2.1.7
- AI research evidence record openai:c6
- AI research evidence record anthropic:c19
- AI research evidence record anthropic:c20
- AI research evidence record openai:c9
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c3
- AI research evidence record perplexity:c2
- AI research evidence record anthropic:c35
- AI research evidence record kimi:scrunch_unclear_1
- AI research evidence record anthropic:c1
- AI research evidence record anthropic:c2
- AI research evidence record google:1.2.1
- AI research evidence record google:1.2.7
- AI research evidence record openai:c2
- AI research evidence record openai:c3
- AI research evidence record anthropic:c8
- AI research evidence record openai:c4
- AI research evidence record anthropic:c14
- AI research evidence record google:1.2.5
- AI research evidence record google:1.2.8
- AI research evidence record deepseek:c1
- AI research evidence record openai:c8
- AI research evidence record anthropic:c21
- AI research evidence record anthropic:c23
- AI research evidence record openai:c9
- AI research evidence record perplexity:c4
- AI research evidence record perplexity:c2
- AI research evidence record perplexity:c3
- AI research evidence record google:2.1.7
- AI research evidence record google:2.1.8
- AI research evidence record anthropic:c36
- AI research evidence record grok:web:10
- AI research evidence record anthropic:c27
- AI research evidence record anthropic:c5
- AI research evidence record anthropic:c6
- AI research evidence record openai:c10
- AI research evidence record perplexity:c11
- AI research evidence record perplexity:c15
- AI research evidence record openai:c1
- AI research evidence record openai:c4
- AI research evidence record openai:c7
- AI research evidence record anthropic:c33
- AI research evidence record anthropic:c34
- AI research evidence record anthropic:c30
- AI research evidence record anthropic:c31
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- AI research evidence record anthropic:c16
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- AI research evidence record anthropic:c36
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- AI research evidence record anthropic:c38
- AI research evidence record anthropic:c19
- AI research evidence record anthropic:c20
- AI research evidence record anthropic:c22
- AI research evidence record anthropic:c23
- AI research evidence record openai:c6
- AI research evidence record anthropic:c35
- AI research evidence record openai:c1
- AI research evidence record kimi:citationradar_1
- AI research evidence record kimi:citingly_2
- AI research evidence record kimi:citemetrix_3
- AI research evidence record kimi:getcited_4
- AI research evidence record deepseek:c1
- AI research evidence record anthropic:c1
- AI research evidence record anthropic:c19
- AI research evidence record anthropic:c20
- AI research evidence record anthropic:c22
- AI research evidence record anthropic:c23
- AI research evidence record openai:c6
- AI research evidence record anthropic:c5
- AI research evidence record grok:web:10
- AI research evidence record anthropic:c36
- AI research evidence record openai:c3
- AI research evidence record openai:c8
- AI research evidence record anthropic:c30
- AI research evidence record openai:c9
- AI research evidence record anthropic:c24
- AI research evidence record anthropic:c26
- AI research evidence record anthropic:c19
- AI research evidence record anthropic:c20
- AI research evidence record openai:c1
- AI research evidence record anthropic:c1
- AI research evidence record perplexity:c5
- AI research evidence record kimi:scrunch_unclear_1
- AI research evidence record openai:c6
- AI research evidence record anthropic:c35
Verify this research
Review the study details behind this page or download the public machine-readable verification record.
- Study date
- September 18, 2026
- Platforms analyzed
- 7
- Source records
- 53
- Ranking mentions
- 4 of 7
- Platform share
- 57%
- Final consensus rank
- #6
Research trail and source mix
Configured platforms
openai, anthropic, deepseek, grok, perplexity, kimi, google
Source mix
28 independent · 25 company-owned
Evidence support
48 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 f16abf9ce8e4a38fc59f7b03ec103050c1cacc13fb117d36598c96eb6b286550