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Scrunch AI AI Content Strategy Solution Fit Review for Recommendation Visibility

Scrunch AI is a good fit for companies that need prompt-level monitoring of AI recommendations, competitor visibility, cited sources, and content-gap signals across major generative-answer platforms.

Research: 2026-09-197 usable platform responsesRead the methodology ↗

Answer Capsule

Scrunch AI is a good fit for companies that need prompt-level monitoring of AI recommendations, competitor visibility, cited sources, and content-gap signals across major generative-answer platforms. Two of seven platforms named Scrunch AI during the ranking stage (openai, perplexity), a 28.6% share of included platform responses, at an average listed rank of 3.5 and a best listed rank of 2. The strongest reason to consider it is its documented citation-source and competitor-recommendation analysis tied to high-intent prompts. The main limitation is that public evidence does not establish Scrunch AI as a complete end-to-end content-production, third-party-authority, or revenue-attribution system, and pricing, plan names, and model coverage conflict across sources.

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7 platforms (openai, perplexity)
Share of included platform responses28.6%
Average listed rank3.5
Best listed rank2
Relevant product/model/planScrunch AI paid platform, with Core for smaller teams and Enterprise for expanded model coverage, APIs, integrations, and AXP
Overall use-case fitGood
Research date2026-09-19

Why Scrunch AI Qualified for This Study

Questions This Section Answers

  • Is Scrunch AI a good choice for AI Content Strategy Solutions for Recommendation Visibility?
  • Why did only two of seven AI platforms name Scrunch AI in the ranking stage?

Scrunch AI qualified because it was named by two of the seven platforms in the ranking stage and because its public positioning maps directly to the study's evaluation criteria: high-intent prompts, competitor recommendations, citation sources, citation architecture, content gaps, third-party authority, and first-party content support. Scrunch AI's official site describes the company as an AI search visibility and optimization platform [1]. Its product materials describe prompt-level analytics, citations, competitive insights, content gaps, and optimization opportunities [5].

The qualification is not unanimous. Five of seven platforms did not name Scrunch AI in the ranking stage, and one platform (kimi) could not confirm that an AI visibility product exists at all, describing scrunch.com as an influencer marketing platform and reporting no verifiable GEO product pages, pricing, or capabilities [6]. That disagreement is disclosed rather than averaged away. The deterministic identity audit also flagged conflicting official domains and a failed official-site retrieval, with identity resolved only by exact-name fallback [2].

For buyers comparing this entity against the full field, the broader AI Content Strategy Solutions for Recommendation Visibility index covers the other finalists and the scoring method.

The Product, Model, Plan, or Service Most Relevant to AI Content Strategy Solutions for Recommendation Visibility

Questions This Section Answers

  • Which Scrunch AI plan should a buyer choose for prompt-level recommendation visibility monitoring?
  • Does Scrunch AI's Core plan include the citation and competitor features needed for a GEO strategy?

The most relevant offering is the Scrunch AI paid platform, with Core positioned for smaller teams and Enterprise for expanded model coverage, APIs, integrations, and the Agent Experience Platform [9]. Core is publicly listed at $250 per month for brands, with Enterprise at custom pricing [9]. The official FAQ separately lists Agency Core at $500 per month and Agency Enterprise at custom pricing [10].

Core's published allocation is 125 unique prompts, five site audits per month, one brand workspace, and five user licenses [9]. Enterprise is described as adding custom prompt volume, workspaces, users, complete site audits, API access and integrations, expanded model coverage, SSO, and dedicated account support [10]. Core publicly lists four engines—ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot—while Enterprise publicly lists nine platforms, including Claude, Gemini, Meta AI, Google AI Mode, and Grok [9]. One platform reported Core covering four engines with 125 unique prompts, three personas, and five audits at $250 per month, with AXP and API gated to Enterprise [14].

Plan naming is not stable across sources. Independent coverage references a "Starter" plan at $300 per month with a $250 annual equivalent, and a Growth plan at $417 per month billed annually or $500 month-to-month [15]. One platform reported an Explorer tier at $83 per month billed annually [18]. Whether "Core" and "Starter" describe the same plan is not resolved in the supplied evidence and should be confirmed in a written quote.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do multiple AI platforms agree Scrunch AI does well for AI recommendation visibility?
  • Is Scrunch AI's citation-source analysis strong enough to support a citation-architecture strategy?

Agreement was strong but not unanimous on four capabilities. First, prompt and recommendation monitoring: Scrunch AI states it monitors brand presence, citations, and sentiment for buyer-relevant prompts and tracks competitor visibility across AI platforms, with a Suggested Competitors feature that identifies competitive brands from response data [19]. Independent reviews describe prompt tracking, competitor mentions, and share of voice across LLMs [21].

Second, citation-source analysis. Public product materials describe citation tracking and source discovery, including identifying whether citations come from competitor content or authoritative third parties [24]. Independent coverage describes citation analysis with influence scoring, sources tabs ranking influential domains, and citation gaps filterable by persona, topic, and funnel stage [26].

Third, content-gap identification. Scrunch AI describes Insights, content-gap identification, recommendations, site auditing, and content optimization as platform components [28]. Independent reviews describe auto-detected content gaps for tracked prompts and prioritized recommendations identifying which pages would have the highest impact if optimized [30].

Fourth, competitor benchmarking. Multiple platforms describe share-of-voice metrics and competitive displacement analysis across models [31]. Scrunch AI's own materials state that it tracks competitor visibility and suggests competitors from response data [20].

Agreement among AI platforms reflects how these systems describe the product, not verified product quality. No platform in this study reported independent hands-on testing of Scrunch AI's outputs.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do AI platforms disagree about Scrunch AI's pricing and plan names?
  • Is Scrunch AI's Agent Experience Platform generally available or still in pilot?

Pricing is the clearest conflict. The official pricing page lists Core at $250 per month, while a G2 listing reports a starting price of $300 per month [34]. Independent coverage describes $250 per month billed annually versus $300 month-to-month, and a Growth tier at $417 annually or $500 monthly [36]. One platform reported an Explorer tier at $83 per month billed annually [38]. The official Scrunch pricing page and FAQ are treated as the stronger current pricing evidence, but the discrepancy should be verified before purchase.

Agent Experience Platform (AXP) status is unresolved. Scrunch AI describes AXP as delivering AI-optimized content to AI agents visiting a site [39]. Independent reviews dated May and August 2026 report AXP in limited pilot, and one September 2026 review does not clarify whether that status changed [37]. No official Scrunch source in the supplied evidence confirms general availability or an expansion timeline.

Identity and domain verification is a third uncertainty. The normalization audit reported conflicting official domains and a failed official-site retrieval, with identity resolved only by exact-name fallback [41]. One platform reported that scrunch.com currently displays Tyrell Nexus content with Scrunch transition notices [42]. Another platform could not confirm that an AI visibility product exists at all and described scrunch.com as an influencer marketing platform [43].

Own-product visibility performance is a fourth conflict. Scrunch AI positions itself as the "most complete AEO/GEO tool" [45]. An independent comparison reported Scrunch at 4.7% visibility in AI-generated answers versus Profound at 47.1% [46]. That comparison measures the vendors' own visibility, not their customers' outcomes, and should not be read as a product-quality verdict.

Sitecore acquisition impact is a fifth uncertainty. Sitecore announced its acquisition of Scrunch on June 3, 2026, for approximately $225 million [47]. One review noted the acquisition "shapes roadmap and packaging" without detail on how independent or non-Sitecore customers are affected [40]. Another framed the impact as "uncertainty" without resolution [49].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Scrunch AI cover all the capabilities a GEO strategy needs, including first-party content support?
  • How many AI engines does Scrunch AI track on the Core plan versus Enterprise?

Scrunch AI covers the diagnostic half of the use case well and the execution half only partially. On high-intent prompts, the platform supports custom prompt creation and tracks branded versus non-branded prompts separately, but auto-generated prompts skew toward branded queries and accurate tracking requires manual curation upfront [50]. One independent review noted the platform lacks native search-volume data for prompts, so teams must manually sequence prompt optimization against traditional keyword demand [51].

On citation architecture, the platform detects brand mentions and citations in AI responses, tracks which domains and URLs LLMs cite, and identifies citation gaps [52]. Citation reporting is filterable by persona, topic, prompt funnel stage, and competitor presence [54]. Scrunch AI also documents geographic filtering of citation data [55].

On first-party content and AI-agent accessibility, AXP is described as providing content delivery to AI agents visiting a site, alongside website auditing and content optimization [56]. Independent coverage describes AXP as delivering an AI-friendly version of website content to bots without changing the human-facing site [58]. Buyers should verify implementation method, crawler coverage, canonicalization, and whether delivered content is also intended for human users.

On crawler diagnostics, the platform tracks which named crawlers (ClaudeBot, GPTBot, PerplexityBot) visit sites, page-level crawl patterns, and AI indexing behavior via GA4 integration [59]. This requires GA4 setup and technical expertise to act on.

On content execution, the platform identifies gaps and provides recommendations but does not generate content at scale [50]. Teams must use external tools to produce new content. Scrunch AI can surface third-party citation opportunities, but public materials do not show that it independently creates or obtains third-party authority [61].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Scrunch AI cost per month, and are there setup or cancellation fees?
  • What contract, renewal, and cancellation terms apply to Scrunch AI's Core and Enterprise plans?

Published entry pricing is $250 per month for Core, with Enterprise at custom pricing [63]. Agency Core is listed at $500 per month, with Agency Enterprise at custom pricing [66]. Independent sources describe $250 per month billed annually versus $300 month-to-month, a Growth tier at $417 annually or $500 monthly, and an annual discount of roughly 17% [67]. One platform reported an Explorer tier at $83 per month billed annually [70]. A G2 listing reports a conflicting starting price of $300 per month [71].

Additional fees are largely unspecified. No separate implementation, overage, API, integration, data-retention, or AXP fees are publicly specified in the reviewed official materials [63]. One platform reported extra user seats at $25 per month each, or five seats for $75 on the Starter tier [72]. Expanded model coverage and Enterprise capabilities may require an Enterprise contract with unclear incremental pricing [66].

Contract terms are thin. The official materials confirm a seven-day Core trial but do not publicly specify renewal, cancellation notice, refund, annual-commitment, or minimum-term terms [63]. One platform reported a seven-day free trial with full Starter plan access and no credit card required, plus an annual subscription option at a 17% discount, but no public documentation on minimum contract terms or cancellation notice periods [67]. Enterprise contract duration, implementation obligations, service levels, and termination rights are unclear [66].

Pricing confidence is moderate for the official figures and low where third-party summaries conflict. Treat any price as unconfirmed until obtained directly from the vendor in a written quote.

Best Suited For

Questions This Section Answers

  • Who gets the most value from Scrunch AI for AI recommendation visibility?
  • Is Scrunch AI a good fit for agencies managing AI visibility across multiple clients?

Scrunch AI is best suited to mid-market and enterprise marketing, SEO, content, and agency teams benchmarking brand visibility across ChatGPT, Perplexity, Google AI surfaces, and Copilot, and—on Enterprise—additional models [73]. It fits companies that need to identify competitor recommendations, citation sources, prompt-level gaps, and technical site-readiness issues [76].

It also fits organizations willing to pair visibility intelligence with separate editorial, digital PR, review, community, and distribution workflows [77]. Agencies managing AI visibility across multiple clients are a named fit, with multi-client workspace and shared reporting described in independent coverage [80]. Brands seeking to understand competitor recommendations and share of voice in AI-generated answers are also a documented fit [78].

Buyers who will run a paid pilot and validate data coverage against their own prompt set before committing are the safest adopters, given the pricing and plan-name conflicts [82].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Scrunch AI for AI Content Strategy Solutions for Recommendation Visibility?
  • Is Scrunch AI a poor fit for buyers who need content production and publishing in one platform?

Scrunch AI is probably not the best fit for buyers seeking a low-cost tracker for a small number of prompts [84]. It is also a weak fit for teams requiring a fully managed content-production, publishing, third-party authority, or revenue-attribution service in one product, because public materials emphasize measurement, recommendations, audits, and AI-agent content delivery rather than guaranteed publication or attribution [86].

Organizations needing guaranteed placement or deterministic recommendations in AI answers should look elsewhere; no platform in this study established that Scrunch AI guarantees recommendations [87]. Solo marketers or small teams without technical SEO resources to execute recommendations are a named poor fit [85]. Budget-conscious buyers requiring all-in-one SEO and AI visibility in a single platform are also a named poor fit [85].

Teams requiring real-time AI prompt volume data or traditional keyword-based ranking integration should not expect that from Scrunch AI, since one independent review noted the platform lacks native search-volume data for prompts [92]. Buyers who require published, independently verified pricing and terms before any sales contact should also weigh alternatives, given the pricing conflicts [93].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Scrunch AI for a buyer who needs content creation and publishing in one platform?
  • When is a lower-cost AI visibility monitor a better choice than Scrunch AI?

Another option may be better in several documented situations. Choose a broader content-operations platform when the primary need is content creation, editorial workflow, publishing, and optimization rather than visibility measurement; independent comparison coverage identifies AirOps and Writesonic as alternatives with stronger content-execution emphasis [95]. Choose a deeper enterprise analytics vendor when the buyer prioritizes large-scale analytics, advanced attribution, or extensive integrations and is prepared for custom procurement; independent comparison coverage identifies Profound as an alternative to evaluate [95].

Choose a lower-cost monitoring tool when the buyer needs only basic prompt, citation, and competitor tracking and does not need Scrunch's audits, AXP, or enterprise controls [95]. One platform reported that lighter alternatives such as Am I Cited cost $0–$150 per month for simpler monitoring, and that Peec AI or Otterly.ai offer lean prompt trackers for $25–$99 per month [97].

Choose a platform with native content brief generation when built-in AI-powered content generation alongside optimization is required; independent coverage states Profound includes native content brief generation while Scrunch does not [97]. Choose a hybrid monitoring-and-execution provider when the buyer needs visibility plus content production plus distribution; independent coverage identifies AirOps or Rankability as more integrated workflows [97].

Buyers who need traditional SEO integration such as rank tracking, keyword research, and site auditing in a single platform may find broader suites like Semrush or Surfer SEO more cost-effective [97]. Organizations heavily invested in a Sitecore DXP stack may find Scrunch's AXP integration advantageous instead [100].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Scrunch AI before signing a contract?
  • Which plan entitlements and model coverage must be confirmed in writing before purchase?

The supplied research surfaces a consistent verification list across platforms. Confirm which exact AI platforms, model versions, geographies, languages, and personalization states are included in the quoted plan [102]. Confirm whether prompt execution volume, refresh frequency, historical backfill, citation extraction, sentiment, competitor suggestions, and site-audit depth are limited by credits or overages [104].

Confirm whether the quoted plan includes AXP, content delivery, API access, integrations, SSO, and dedicated support, or whether these are separate Enterprise items [102]. Confirm how AXP delivers AI-optimized content, which crawlers receive it, how canonical and human-facing versions are handled, and whether it can be tested safely before production [106]. Confirm the methodology, sampling frequency, localization controls, and confidence measures used for recommendation and citation reporting [108].

Confirm whether third-party authority recommendations are merely diagnostic or whether Scrunch AI provides outreach, placement, content production, or publishing services [110]. Confirm annual commitment, renewal, cancellation, refund, data-retention, security, implementation, and overage terms [102]. Confirm whether Scrunch AI can provide customer-specific evidence that tracked visibility improvements correlate with qualified traffic, conversions, or revenue [102].

Also confirm the current U.S. pricing and exact plan name for the self-serve brand tier, since sources conflict on whether the entry plan is called Core, Starter, or Explorer [104]. Confirm whether scrunch.com is the confirmed official domain and whether the vendor's legal entity is confirmed for U.S. contracting, given the identity audit findings [114].

Final AI Consensus Verdict

Scrunch AI is a good fit for AI Content Strategy Solutions for Recommendation Visibility when the buyer needs actionable visibility intelligence—especially prompt-level recommendations, competitor comparisons, citation-source analysis, content gaps, and technical AI-readiness signals [116]. It is not yet a clearly complete end-to-end authority-building or content-publishing solution based on public evidence [119].

Fit ratings across the seven platforms ranged from strong (google, grok) to good (openai, anthropic, deepseek, perplexity) to uncertain (kimi). That spread reflects genuine disagreement about product existence, pricing stability, and feature maturity rather than a settled consensus. Start with Core for a single-brand validation if four AI platforms and 125 prompts are sufficient; consider Enterprise only after confirming model coverage, AXP behavior, implementation, data methodology, and contract economics [116].

Buyers evaluating this category more broadly can compare Scrunch AI against other vendors in the ai seo content optimization directory.

How This Review Was Produced

This review was produced from supplied platform research responses collected for the study date 2026-09-19. Seven platforms contributed fit-research responses: openai, anthropic, deepseek, google, grok, kimi, and perplexity. Two of those platforms named Scrunch AI during the ranking stage (openai, perplexity), producing a 28.6% share of included platform responses, an average listed rank of 3.5, and a best listed rank of 2.

All factual claims are attributed to the supplied citation IDs. Company-owned sources are distinguished from independent sources in the Sources section. Where a platform supplied no citation for a factual claim, the claim is labeled platform-reported or unverified. No personal testing, customer experience, or independent verification was performed by the writer.

Methodology Limitations

Several limitations apply. Platform-reported research dates differ from the authoritative run date: deepseek reported 2026-01-15 while the other six platforms reported 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.

The deterministic identity audit flagged conflicting official domains and a failed official-site retrieval, with identity resolved only by exact-name fallback; the retained official website should be reconfirmed during procurement [122]. One platform reported that scrunch.com currently displays Tyrell Nexus content with Scrunch transition notices [123]. Another platform could not confirm that an AI visibility product exists at all [124].

Pricing conflicts remain unresolved: the official pricing page lists Core at $250 per month while a G2 listing reports $300 per month, and third-party summaries reference Starter, Growth, and Explorer tiers that may or may not map to Core [125]. Plan-specific entitlements should be confirmed in a written quote.

AXP availability is unresolved, with independent reviews dated May and August 2026 reporting limited pilot status and no official confirmation of general availability [128]. AI-answer measurements are sampled observations rather than a complete or permanent representation of all user experiences [130]. The research year is 2026, but feature availability, model coverage, and pricing may change rapidly. 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.

Sources

Company-Owned Sources

  • AI Visibility Platform | Centium: https://centium.ai/platform
  • Optimize content with AI powered by Scrunch (Early Access) | SitecoreAI Changelog | Sitecore Developer Portal: https://developers.sitecore.com/changelog/sitecoreai/16092026/optimize-content-with-ai-powered-by-scrunch-(early-access
  • MagUp — Make your brand AI's top recommendation: https://magup.ai/
  • AI-Optimized Content Engine — Content That Gets You Recommended | Pendium: https://pendium.ai/tools/content-for-ai-agents
  • Scrunch | The AI Customer Experience Platform | AI search visibility & optimization: https://scrunch.com/
  • Why your competitors are winning in AI search (and how to fix it: https://scrunch.com/blog/2025-12-competitors-ai-search-citations
  • Scrunch | Blog - The 7 best answer engine optimization (AEO)/generative engine optimization (GEO) tools for 2026: https://scrunch.com/blog/best-answer-engine-optimization-aeo-generative-engine-optimization-geo-tools-2026
  • Can Scrunch identify where competitors are gaining visibility in AI search?: https://scrunch.com/faqs/can-scrunch-identify-where-competitors-are-gaining-visibility-in-ai-search
  • What products does Scrunch offer for AI search optimization?: https://scrunch.com/faqs/what-products-does-scrunch-offer-for-ai-search-optimization
  • Scrunch | How-to guides - How to track citations in AI search: https://scrunch.com/how-tos/how-to-track-citations-in-ai-search/
  • Semly | Company positioning in ChatGPT, Gemini and Google AI: https://semly.ai/
  • Platform: Discover, Improve, Measure AI Visibility | Viali: https://viali.ai/product/
  • Product — The ARI Platform | FancyAI: https://www.getfancy.ai/product
  • AI Visibility Services | Get Cited in AI Overviews, ChatGPT, and Perplexity | The HOTH: https://www.thehoth.com/ai-search-visibility/
  • Yolando Platform Recommendations: https://yolando.com/platform/recommendations
  • Additional AI research evidence130 records
    1. AI research evidence record anthropic:c15
    2. AI research evidence record deepseek:cite-scrunch-home
    3. AI research evidence record grok:web:0
    4. AI research evidence record perplexity:c1
    5. AI research evidence record openai:c4
    6. AI research evidence record kimi:viali-2026
    7. AI research evidence record kimi:centium-2026
    8. AI research evidence record kimi:fancyai-2026
    9. AI research evidence record openai:c1
    10. AI research evidence record openai:c6
    11. AI research evidence record anthropic:c4
    12. AI research evidence record perplexity:c2
    13. AI research evidence record openai:c5
    14. AI research evidence record google:1.2.1
    15. AI research evidence record anthropic:c5
    16. AI research evidence record anthropic:c6
    17. AI research evidence record perplexity:c14
    18. AI research evidence record perplexity:c15
    19. AI research evidence record openai:c1
    20. AI research evidence record openai:c2
    21. AI research evidence record grok:web:3
    22. AI research evidence record grok:web:6
    23. AI research evidence record google:1.1.1
    24. AI research evidence record openai:c3
    25. AI research evidence record openai:c4
    26. AI research evidence record anthropic:c25
    27. AI research evidence record anthropic:c21
    28. AI research evidence record openai:c5
    29. AI research evidence record openai:c6
    30. AI research evidence record grok:web:2
    31. AI research evidence record anthropic:c18
    32. AI research evidence record anthropic:c19
    33. AI research evidence record google:1.1.3
    34. AI research evidence record openai:c1
    35. AI research evidence record openai:c11
    36. AI research evidence record anthropic:c5
    37. AI research evidence record anthropic:c6
    38. AI research evidence record perplexity:c15
    39. AI research evidence record openai:c7
    40. AI research evidence record anthropic:c3
    41. AI research evidence record deepseek:cite-scrunch-home
    42. AI research evidence record grok:web:0
    43. AI research evidence record kimi:viali-2026
    44. AI research evidence record kimi:centium-2026
    45. AI research evidence record anthropic:c10
    46. AI research evidence record anthropic:c11
    47. AI research evidence record google:1.2.3
    48. AI research evidence record anthropic:c14
    49. AI research evidence record anthropic:c8
    50. AI research evidence record anthropic:c7
    51. AI research evidence record anthropic:c27
    52. AI research evidence record anthropic:c1
    53. AI research evidence record anthropic:c19
    54. AI research evidence record anthropic:c25
    55. AI research evidence record anthropic:c22
    56. AI research evidence record openai:c6
    57. AI research evidence record openai:c7
    58. AI research evidence record google:1.1.5
    59. AI research evidence record anthropic:c5
    60. AI research evidence record anthropic:c28
    61. AI research evidence record openai:c3
    62. AI research evidence record openai:c4
    63. AI research evidence record openai:c1
    64. AI research evidence record anthropic:c4
    65. AI research evidence record perplexity:c2
    66. AI research evidence record openai:c6
    67. AI research evidence record anthropic:c5
    68. AI research evidence record anthropic:c6
    69. AI research evidence record perplexity:c14
    70. AI research evidence record perplexity:c15
    71. AI research evidence record openai:c11
    72. AI research evidence record google:1.2.3
    73. AI research evidence record openai:c1
    74. AI research evidence record openai:c5
    75. AI research evidence record anthropic:c1
    76. AI research evidence record openai:c2
    77. AI research evidence record openai:c3
    78. AI research evidence record anthropic:c18
    79. AI research evidence record openai:c4
    80. AI research evidence record anthropic:c2
    81. AI research evidence record grok:web:3
    82. AI research evidence record deepseek:cite-scrunch-home
    83. AI research evidence record openai:c11
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:c2
    86. AI research evidence record openai:c5
    87. AI research evidence record openai:c6
    88. AI research evidence record anthropic:c28
    89. AI research evidence record deepseek:cite-scrunch-home
    90. AI research evidence record anthropic:c7
    91. AI research evidence record anthropic:c12
    92. AI research evidence record anthropic:c27
    93. AI research evidence record openai:c11
    94. AI research evidence record perplexity:c14
    95. AI research evidence record openai:c9
    96. AI research evidence record anthropic:c11
    97. AI research evidence record anthropic:c2
    98. AI research evidence record anthropic:c12
    99. AI research evidence record anthropic:c28
    100. AI research evidence record anthropic:c23
    101. AI research evidence record anthropic:c14
    102. AI research evidence record openai:c6
    103. AI research evidence record anthropic:c7
    104. AI research evidence record openai:c1
    105. AI research evidence record anthropic:c5
    106. AI research evidence record openai:c7
    107. AI research evidence record anthropic:c26
    108. AI research evidence record openai:c8
    109. AI research evidence record anthropic:c22
    110. AI research evidence record openai:c3
    111. AI research evidence record openai:c4
    112. AI research evidence record anthropic:c28
    113. AI research evidence record perplexity:c15
    114. AI research evidence record deepseek:cite-scrunch-home
    115. AI research evidence record grok:web:0
    116. AI research evidence record openai:c1
    117. AI research evidence record openai:c3
    118. AI research evidence record anthropic:c18
    119. AI research evidence record openai:c5
    120. AI research evidence record anthropic:c28
    121. AI research evidence record openai:c6
    122. AI research evidence record deepseek:cite-scrunch-home
    123. AI research evidence record grok:web:0
    124. AI research evidence record kimi:viali-2026
    125. AI research evidence record openai:c1
    126. AI research evidence record openai:c11
    127. AI research evidence record perplexity:c15
    128. AI research evidence record anthropic:c6
    129. AI research evidence record anthropic:c5
    130. AI research evidence record openai:c8

Independent Sources

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
54
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#9

Research trail and source mix

Configured platforms

openai, anthropic, deepseek, grok, perplexity, kimi, google

Source mix

32 independent · 22 company-owned

Evidence support

45 direct · 9 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 4cc9e107330c4f5d1c2c4d45337d0c12e27eb8af09ec9e154335b95cfe546794