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AI Consensus Fit Review

Scrunch AI Citation Strategy Fit Review for Companies With Strong SEO but Weak AI Visibility

Scrunch is a good fit for the diagnostic half of this use case.

Research: 2026-09-176 usable platform responsesRead the methodology ↗

Answer Capsule

Scrunch is a good fit for the diagnostic half of this use case. Two of the six platforms that evaluated fit named Scrunch during ranking discovery (openai, deepseek), and four of six rated it a good fit (openai, anthropic, grok, perplexity), with one mixed (deepseek) and one uncertain (kimi). Its strongest reason to consider it is source-level citation tracking: it reports which brand, competitor, and third-party pages AI systems cite, and where the buyer is absent [1]. The main limitation is execution: public materials do not establish that Scrunch acquires third-party citations, and independent reviewers report weak prescriptive optimization guidance [4].

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 6 fit-evaluating platforms (openai, deepseek)
Share of included platform responses33.3%
Average listed rank4.5
Best listed rank2 (openai)
Relevant product/model/planScrunch AI visibility and optimization platform; Core plan or Enterprise/custom workspace
Overall use-case fitGood (4 platforms); Mixed (1 platform); Uncertain (1 platform) — 6 platforms analyzed
Research date2026-09-17

Why Scrunch Qualified for This Study

Questions This Section Answers

  • Is Scrunch a good choice for AI citation strategies for companies with strong SEO but weak AI visibility?
  • How many AI platforms named Scrunch during ranking discovery for this use case?

Scrunch qualified because it is purpose-built for the exact symptom this use case describes: a brand that performs in traditional search but is not cited or recommended in AI answers. Scrunch positions itself as a platform that tracks how a brand appears in AI-generated answers and surfaces citations and recommendations [6].

Two of the six platforms that evaluated fit named Scrunch during ranking discovery — openai at rank 2 and deepseek at rank 7 — giving an average listed rank of 4.5 and a 33.3% share of included platform responses. The remaining four platforms (anthropic, grok, perplexity, kimi) evaluated Scrunch's fit without listing it in their ranking stage.

Fit ratings split 4 good, 1 mixed, 1 uncertain. Openai, anthropic, grok, and perplexity rated it good; deepseek rated it mixed; kimi rated it uncertain after reporting that scrunch.com appeared to present an influencer marketing platform rather than an AI visibility product [8]. That conflict is unresolved in the supplied evidence and is disclosed in full below.

Scrunch also appears in independent industry coverage of AI search and generative engine optimization tooling, which supports its standing as a category entrant rather than a general SEO suite [9].

The Product, Model, Plan, or Service Most Relevant to AI Citation Strategies for Companies With Strong SEO but Weak AI Visibility

Questions This Section Answers

  • Which Scrunch plan should a buyer choose for diagnosing why strong SEO is not producing AI citations?
  • Does Scrunch's Core plan cover enough AI platforms for a US brand with weak AI visibility?

The relevant offer is the Scrunch AI visibility and optimization platform, purchased at the Core plan or a higher-tier Enterprise workspace. Core is the practical entry point for a brand running its first AI citation diagnostic; Enterprise is the tier that adds broader model coverage, API access, SSO, and dedicated support [10].

Core publicly lists four supported AI platforms: ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot. Enterprise lists nine, adding Claude, Gemini, Meta AI, Google AI Mode, and Grok [10]. Model coverage is therefore materially broader at Enterprise than at Core, and a buyer whose customers use Claude or Gemini heavily may find Core insufficient.

Core's publicly stated limits are 125 unique prompts, five site audits per month, one brand workspace, and five user licenses [10]. Independent reviews describe Core as covering four engines with 125 unique prompts, three personas, five site audits a month, and five user licenses, with AXP, API access, and Looker Studio gated to Enterprise [12].

The platform's stated tracking scope includes brand presence in AI responses, competitive presence, share of voice, response position, sentiment, citations, AI bot traffic, referrals, and search trends [13]. It keeps a running list of domains and URLs cited in prompts with metrics such as citation consistency and influence score [14].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Scrunch does well for companies with strong SEO but weak AI visibility?
  • Does Scrunch actually show which third-party sources AI systems cite instead of your brand?

The clearest cross-platform agreement is that Scrunch measures citation architecture at the source level. Openai reported that Scrunch tracks competitor visibility, influential competitor and third-party webpages, citation frequency, and an Influence Score, with automated competitive gap alerts [15]. Anthropic reported that Scrunch keeps a running list of domains and URLs cited in prompts with citation consistency and influence score metrics [16]. Grok reported domain- and URL-level citation tracking with consistency scoring, persona and topic filters, and first-party versus third-party breakdowns [17].

A second area of agreement is competitor comparison. Openai reported that Scrunch tracks competitor visibility across AI platforms, identifies influential competitor and third-party webpages, and can notify users when competitors gain citation or mention share [15]. Grok reported competitor benchmarking for visibility, share of voice, and cited sources across tracked LLMs, compared by prompt and funnel stage [20].

A third area is the named-versus-cited distinction. Anthropic reported that Scrunch differentiates whether a brand is named in the AI response body or appears only as a cited source, measured at the individual prompt level [21]. This is directly relevant to a brand that ranks well but is not recommended.

A fourth area is AI bot traffic attribution. Anthropic and grok both reported GA4 integration showing which AI agents visited and which pages they crawled, with multiple independent reviewers calling it the standout feature [22].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Scrunch actually an AI visibility platform, or did the ranking stage confuse it with a different company?
  • Do independent reviewers agree that Scrunch's optimization recommendations are actionable?

The largest disagreement is about what Scrunch is. Kimi reported that scrunch.com presents itself exclusively as an influencer marketing platform focused on finding influencers and creators, with no visible AI search optimization or GEO services, and rated Scrunch uncertain for this use case [25]. Every other platform described an AI visibility platform. The supplied official-page excerpt for scrunch.com contains navigation elements for "Scrunch Labs," "Pricing," "Start a free trial," "Book a demo," and "Enterprise," which is consistent with a software product rather than an influencer marketplace, but the excerpt is marked retrieved_not_verified and does not resolve the conflict (official:C1). Buyers should confirm the entity directly before purchasing.

The second disagreement concerns actionability. Openai reported that Scrunch can expose which third-party sources are cited and where the buyer is absent, and that its guidance recommends pursuing placements in sources AI already cites or creating content capable of displacing cited sources [26]. Anthropic reported the opposite emphasis: reviewers consistently found that Scrunch identifies problems but provides weak or confusing recommendations on how to fix them, with the insights feature marked beta and optimization opportunity categories often unpopulated after a week of tracking [28]. One independent review reported that after tracking AI visibility for a week, Scrunch never populated most of the optimization opportunity categories [28].

The third disagreement concerns site-level analysis. Anthropic reported that Scrunch examines individual pages in isolation and does not provide full-site technical audits, while competitors surface site-wide optimization opportunities [29]. Openai did not report this limitation.

The fourth area is AXP. Anthropic reported that the Agent Experience Platform serves optimized, compressed versions of pages to AI agents without modifying human-facing content, but that it was in limited testing as of June 2026, is Enterprise-only, and lacks independent validation; one critical review reported no evidence it increases AI visibility [30]. Scrunch's own claim that AXP increases AI visibility is company-owned and not independently validated in the supplied evidence.

The fifth area is data refresh frequency. Anthropic reported that Scrunch updates tracking data weekly rather than daily, which multiple reviewers called a significant limitation [32]. Openai, grok, and perplexity did not report a refresh cadence.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Can Scrunch convert existing SEO keywords into AI prompts for a company with strong traditional rankings?
  • Does Scrunch identify missing third-party corroboration sources for AI citations?

Scrunch's most directly relevant capability for this use case is prompt translation from existing SEO assets. Scrunch states that users can generate prompts from a brand or convert SEO keywords into prompts, which lets a buyer test whether existing SEO targets are represented in AI-search queries [33]. This is the closest documented bridge between traditional SEO authority and AI visibility measurement, though public materials do not establish that Scrunch automatically connects AI visibility results to a buyer's existing SEO rankings or authority metrics [33].

Citation architecture analysis is the second core capability. Scrunch reports citations for brand, competitor, and third-party pages and provides an Influence Score based on citation frequency and unique prompts [34]. Its own research emphasizes that third-party sources dominate unbranded AI discovery, which supports a strategy focused beyond first-party SEO content [35].

Missing third-party corroboration is addressed diagnostically. Scrunch can expose which third-party sources are cited and where the buyer is absent, and its guidance recommends pursuing placement in sources already cited by AI systems or creating content capable of displacing those sources [37]. Execution of outreach or earned-media acquisition is not established as included in Core [37].

Prompt segmentation is a reported strength. Scrunch applies AI assistance to segmentation data to automatically tag prompts by intent and funnel stage [39]. Anthropic rated this the strongest segmentation architecture in its category [39].

AI bot traffic attribution rounds out the diagnostic set. Scrunch integrates with Google Analytics 4 to show which AI agents visited and which pages they crawled, plus referral attribution from AI platforms [40].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Scrunch cost per month, and is there a free trial?
  • What contract, cancellation, and overage terms should a buyer confirm before paying for Scrunch?

Pricing is the most conflicted part of the supplied evidence. Scrunch's official pricing page and FAQ list Core at $250 per month for brands, with Enterprise custom-priced and a 7-day Core free trial [42]. The official pricing page excerpt shows "Core $250/mo" (official:C2).

Independent sources conflict with that figure and with each other. One review reported Starter at $300/month ($250/month annual) and Growth at $500/month ($417/month annual) with a 17% annual discount [47]. Another reported Growth at $417/month billed annually or $500 month-to-month, with 5 user licenses, 700 custom prompts, 2,500 industry prompts, 5 personas, and 10 page audits [48]. A G2 listing states pricing starting at $300/month [49]. One review reported a $250/month Core price and specific included limits that conflict with the official Growth page [50]. Another reported brand Core versus agency Core pricing and enterprise custom options [51]. A further review reported Starter, Growth, Pro, and Enterprise tiers plus extra seats [52].

Additional reported costs include $25/month per additional seat up to five extras, Agency Core at $500/month, and an annual prepayment discount of roughly two months free [44]. Enterprise implementation, API, integration, expanded usage, and support charges are unclear from public pricing pages [42].

Contract terms are largely undisclosed. Public sources reviewed do not specify annual-versus-monthly commitment requirements, renewal terms, cancellation notice, refunds, overage charges, or data-retention terms [42]. Anthropic reported that monthly billing is available on self-serve tiers while Enterprise requires annual prepayment for the discount, and that no explicit cancellation policy or lock-in period is stated publicly [44]. The supplied terms page excerpt includes an arbitration clause, a class-action and jury waiver, Utah governing law, a liability cap at the greater of 12 months of fees or $1,000, and a publicity clause permitting Scrunch to publish a business customer's name and logo (official:C3).

Best Suited For

Questions This Section Answers

  • Which types of companies get the most value from Scrunch for diagnosing weak AI visibility?
  • Is Scrunch a good fit for an agency managing AI visibility across multiple client brands?

Scrunch is best suited to mid-market and enterprise brands that already have content and SEO programs and want to understand why AI visibility lags traditional rankings [53]. The strongest fit is a team with in-house SEO or content staff who can act on citation and content-gap findings without buying execution services [54].

It also fits companies that need an initial AI visibility benchmark and a repeatable measurement system, including prompt-level monitoring, historical trends, and filtering by topic, persona, funnel stage, and time period [55].

Agencies are a documented segment. Scrunch lists a separate Agency Core tier at $500/month and supports multi-brand workspaces [57]. One independent review framed Scrunch specifically for agencies managing client AI visibility [59].

Organizations needing broader model coverage, API access, integrations, SSO, or dedicated support are directed to Enterprise [57]. Independent sources report Scrunch is used by 500-plus companies including Lenovo, Skims, and Penn State, and that it raised $4M seed plus $15M Series A from Decibel, Mayfield, and Homebrew [61]. Those are company-reported or review-reported figures and are not independently validated in the supplied evidence.

Probably Not Best Suited For

Questions This Section Answers

  • Who should not buy Scrunch for AI citation strategies?
  • Is Scrunch a poor fit for a small team with no in-house SEO or content capacity?

Buyers seeking guaranteed increases in AI citations or recommendations should not choose Scrunch on that basis [63]. No supplied source establishes guaranteed outcomes.

Teams requiring a fully managed outreach, digital-PR, or third-party placement service should look elsewhere. Public materials do not confirm that Scrunch executes third-party outreach, secures placements, or provides managed digital-PR services [64].

Organizations needing traditional SEO rank tracking and backlink intelligence as the primary product are also a poor fit; Scrunch is positioned as an AI visibility platform rather than a general SEO suite [66].

Small teams testing AI visibility for the first time, and companies without internal optimization expertise, are flagged as weak fits given the $250/month entry point and the need to translate monitoring data into execution [67].

Buyers requiring daily or real-time data updates should note that Scrunch updates weekly [69]. Buyers requiring full-site technical audits should note that Scrunch examines individual pages in isolation [70].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Scrunch for a buyer who needs prescriptive content optimization workflows?
  • When is a cheaper AI visibility tool a better choice than Scrunch's $250/month Core plan?

A broader enterprise AI-search platform may be better when the buyer needs larger-scale model coverage, revenue or pipeline attribution, or extensive integrations beyond Scrunch's documented Core scope [71]. Profound and BrightEdge were named for deep enterprise integrations, unlimited prompt analysis at scale, or strategic consulting [72].

A traditional SEO suite may be better when the central need is backlink discovery, organic rankings, keyword research, and technical SEO rather than AI citation measurement [71].

A digital-PR, analyst-relations, or managed outreach provider may be better when the buyer needs third-party citations actively acquired rather than identified and prioritized [71].

For prescriptive, end-to-end content optimization with AI-powered rewriting, competitive SERP analysis, and semantic gap detection in one platform, Profound, Analyze AI, or Goodie were named as stronger alternatives [72]. For full-site technical audits combined with AI visibility tracking, Profound was named [72].

For budgets under $250/month, Peec AI (€85/month), Otterly.ai (~$29/month), or Rankability were named as lighter entry points [72]. Kimi named Citable ($99–799/month) and Peec AI ($29/month) for citation monitoring, Clear Cited for full-service GEO plus SEO with share-of-model measurement, Cite Solutions for B2B AI visibility services from one-time audits to $50K+/month enterprise programs, and Get Ryze at $129/month self-serve or $599/month full service [73]. Those alternative prices are vendor- or review-reported and were not independently validated.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Scrunch about plan coverage and data freshness before signing?
  • What evidence should Scrunch provide that its recommendations improved AI citation outcomes?

Confirm which plan name and price applies to a US company account, since official pages list Core at $250/month while independent sources report Starter, Growth, Pro, and other tiers at $300, $417, and $500 [77].

Confirm whether Core supports the exact AI platforms, country settings, languages, and search experiences relevant to the buyer's audience, given Core's four-platform limit versus Enterprise's nine [77].

Confirm whether citations are sampled, scheduled, or real-time, and how often prompts are refreshed or rerun, given the reported weekly update cadence [82].

Confirm how prompts are generated, deduplicated, localized, and weighted in visibility and Influence Score calculations [77].

Confirm whether Scrunch can import existing SEO keywords, rankings, analytics, backlink data, or content inventory, since public materials do not establish automatic linkage to SEO authority metrics [83].

Confirm whether the product recommends specific third-party targets and outreach actions, or whether Scrunch also executes placement acquisition [84].

Confirm Enterprise minimums, annual commitments, implementation fees, API limits, overages, and cancellation terms, none of which are publicly specified [77].

Confirm how AI responses are stored, how reproducibility is handled, and how historical data is retained after cancellation [77].

Confirm whether raw responses, citations, source URLs, prompt data, and trend data can be exported through the UI or API [77].

Confirm the current status and feature completeness of AXP, and whether any SLA or performance guarantee accompanies it [87].

Confirm what happens to standalone availability, pricing, and roadmap under Sitecore ownership, following the reported June 2026 acquisition [88].

Confirm what evidence Scrunch can provide that its recommendations improved citation share, mentions, qualified traffic, or conversions for comparable US companies [77].

Final AI Consensus Verdict

Scrunch is a good fit for the diagnostic portion of AI citation strategy for companies with strong SEO but weak AI visibility, and a weaker fit for the execution portion. Four of six fit-evaluating platforms rated it good, one mixed, and one uncertain. Two platforms named it during ranking discovery.

The consensus case for Scrunch rests on source-level citation tracking, competitor and third-party source comparison, prompt-level monitoring with segmentation, the named-versus-cited distinction, and GA4 AI bot traffic attribution. Those capabilities map directly onto the buyer's need to determine why traditional SEO authority is not translating into AI visibility and to analyze the category's citation architecture.

The consensus case against relying on Scrunch alone rests on three documented gaps: public materials do not establish that Scrunch acquires third-party citations or runs managed outreach; independent reviewers report weak or unpopulated prescriptive optimization guidance; and the platform examines individual pages rather than full-site architecture. Pricing conflicts across official and independent sources, contract terms are largely undisclosed, and the Sitecore acquisition introduces roadmap and continuity uncertainty.

The practical reading is that Scrunch is a measurement and diagnosis layer that should be paired with SEO, content, PR, or outreach execution capabilities when the buyer needs citations obtained rather than merely analyzed. Buyers should verify plan naming, price, model coverage, refresh cadence, AXP status, and post-acquisition continuity before committing to an annual agreement.

How This Review Was Produced

This review synthesizes fit evaluations submitted by six AI platforms for the use case "AI Citation Strategies for Companies With Strong SEO but Weak AI Visibility," using the run research date of 2026-09-17. Platforms evaluated whether Scrunch fits the use case; ranking-stage mentions were counted separately and only for platforms that named Scrunch during ranking discovery.

The report preserves each platform's stated strengths, limitations, pricing findings, and verification questions. Where platforms disagreed, both positions are reported rather than reconciled. Company-owned sources are distinguished from independent sources throughout, and no claim of personal testing, customer experience, or independent verification is made.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date. Deepseek reported 2026-01-20; anthropic, grok, kimi, openai, and perplexity reported 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.

All included platforms evaluated fit, but the platform-mention count reflects only platforms that named Scrunch during ranking discovery. A platform can evaluate an entity's fit without listing it in its ranking stage.

Conflicting product names, pricing, and capabilities were not resolved by guessing. Official pages list Core at $250/month while independent sources report $300, $417, and $500 tiers under Starter, Growth, Pro, and Core naming. Buyers should confirm checkout or proposal pricing directly.

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. Deepseek's evaluation ran with search disabled, so its claims are model-reported rather than retrieved.

One supplied official-page excerpt for scrunch.com contained unrelated content referencing a different product name and pricing, and is marked retrieved_not_verified. It is not treated as evidence about Scrunch's product or pricing.

The durability and causal impact of AI citations are not independently established by the sources reviewed. AI-platform availability, supported-model lists, limits, and pricing may change after the research date.

Explore more ai citation authority building guidance in the category directory.

Sources

Company-Owned Sources

  • B2B AI Visibility Services | Cite Solutions: https://cite.solutions/b2b-ai-visibility-services
  • AI Search Optimization Service — Clear Cited: https://clearcited.com/ai-search-optimization/
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  • AI search optimization for the enterprise: https://scrunch.com/enterprise/
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  • Scrunch | FAQs - What does Scrunch track for AI visibility that traditional SEO tools don't?: https://scrunch.com/faqs/what-does-scrunch-track-for-ai-visibility-that-traditional-seo-tools-dont
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  • Additional AI research evidence91 records
    1. AI research evidence record openai:c2
    2. AI research evidence record openai:c10
    3. AI research evidence record anthropic:22-6
    4. AI research evidence record anthropic:31-1
    5. AI research evidence record anthropic:33-2
    6. AI research evidence record deepseek:c1
    7. AI research evidence record perplexity:c2
    8. AI research evidence record kimi:scrunch-homepage-2026
    9. AI research evidence record deepseek:c2
    10. AI research evidence record openai:c0
    11. AI research evidence record openai:c1
    12. AI research evidence record anthropic:12-6
    13. AI research evidence record anthropic:21-1
    14. AI research evidence record anthropic:22-6
    15. AI research evidence record openai:c2
    16. AI research evidence record anthropic:22-6
    17. AI research evidence record grok:7
    18. AI research evidence record grok:9
    19. AI research evidence record openai:c5
    20. AI research evidence record grok:2
    21. AI research evidence record anthropic:28-11
    22. AI research evidence record anthropic:12-3
    23. AI research evidence record anthropic:18-3
    24. AI research evidence record grok:14
    25. AI research evidence record kimi:scrunch-homepage-2026
    26. AI research evidence record openai:c7
    27. AI research evidence record openai:c8
    28. AI research evidence record anthropic:31-1
    29. AI research evidence record anthropic:33-2
    30. AI research evidence record anthropic:1-11
    31. AI research evidence record anthropic:12-6
    32. AI research evidence record anthropic:7-8
    33. AI research evidence record openai:c6
    34. AI research evidence record openai:c2
    35. AI research evidence record openai:c3
    36. AI research evidence record openai:c10
    37. AI research evidence record openai:c7
    38. AI research evidence record openai:c8
    39. AI research evidence record anthropic:23-5
    40. AI research evidence record anthropic:12-3
    41. AI research evidence record anthropic:18-3
    42. AI research evidence record openai:c0
    43. AI research evidence record openai:c1
    44. AI research evidence record anthropic:10-1
    45. AI research evidence record anthropic:10-3
    46. AI research evidence record grok:1
    47. AI research evidence record anthropic:7-3
    48. AI research evidence record perplexity:c1
    49. AI research evidence record openai:c4
    50. AI research evidence record perplexity:c14
    51. AI research evidence record perplexity:c10
    52. AI research evidence record perplexity:c4
    53. AI research evidence record anthropic:8-1
    54. AI research evidence record anthropic:34-1
    55. AI research evidence record openai:c6
    56. AI research evidence record openai:c8
    57. AI research evidence record openai:c0
    58. AI research evidence record anthropic:12-6
    59. AI research evidence record anthropic:2-3
    60. AI research evidence record openai:c1
    61. AI research evidence record anthropic:8-2
    62. AI research evidence record anthropic:36-16
    63. AI research evidence record openai:c0
    64. AI research evidence record openai:c7
    65. AI research evidence record openai:c8
    66. AI research evidence record deepseek:c2
    67. AI research evidence record anthropic:10-1
    68. AI research evidence record anthropic:34-1
    69. AI research evidence record anthropic:7-8
    70. AI research evidence record anthropic:33-2
    71. AI research evidence record openai:c0
    72. AI research evidence record anthropic:1-2
    73. AI research evidence record kimi:makerstack-citable
    74. AI research evidence record kimi:clearcited-geo
    75. AI research evidence record kimi:cite-solutions-b2b
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    77. AI research evidence record openai:c0
    78. AI research evidence record anthropic:7-3
    79. AI research evidence record perplexity:c1
    80. AI research evidence record perplexity:c4
    81. AI research evidence record anthropic:12-6
    82. AI research evidence record anthropic:7-8
    83. AI research evidence record openai:c6
    84. AI research evidence record openai:c7
    85. AI research evidence record openai:c8
    86. AI research evidence record anthropic:10-1
    87. AI research evidence record anthropic:1-11
    88. AI research evidence record anthropic:1-2
    89. AI research evidence record anthropic:1-3
    90. AI research evidence record anthropic:3-8
    91. AI research evidence record anthropic:3-10

Independent Sources

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  • Additional AI research evidence91 records
    1. AI research evidence record openai:c2
    2. AI research evidence record openai:c10
    3. AI research evidence record anthropic:22-6
    4. AI research evidence record anthropic:31-1
    5. AI research evidence record anthropic:33-2
    6. AI research evidence record deepseek:c1
    7. AI research evidence record perplexity:c2
    8. AI research evidence record kimi:scrunch-homepage-2026
    9. AI research evidence record deepseek:c2
    10. AI research evidence record openai:c0
    11. AI research evidence record openai:c1
    12. AI research evidence record anthropic:12-6
    13. AI research evidence record anthropic:21-1
    14. AI research evidence record anthropic:22-6
    15. AI research evidence record openai:c2
    16. AI research evidence record anthropic:22-6
    17. AI research evidence record grok:7
    18. AI research evidence record grok:9
    19. AI research evidence record openai:c5
    20. AI research evidence record grok:2
    21. AI research evidence record anthropic:28-11
    22. AI research evidence record anthropic:12-3
    23. AI research evidence record anthropic:18-3
    24. AI research evidence record grok:14
    25. AI research evidence record kimi:scrunch-homepage-2026
    26. AI research evidence record openai:c7
    27. AI research evidence record openai:c8
    28. AI research evidence record anthropic:31-1
    29. AI research evidence record anthropic:33-2
    30. AI research evidence record anthropic:1-11
    31. AI research evidence record anthropic:12-6
    32. AI research evidence record anthropic:7-8
    33. AI research evidence record openai:c6
    34. AI research evidence record openai:c2
    35. AI research evidence record openai:c3
    36. AI research evidence record openai:c10
    37. AI research evidence record openai:c7
    38. AI research evidence record openai:c8
    39. AI research evidence record anthropic:23-5
    40. AI research evidence record anthropic:12-3
    41. AI research evidence record anthropic:18-3
    42. AI research evidence record openai:c0
    43. AI research evidence record openai:c1
    44. AI research evidence record anthropic:10-1
    45. AI research evidence record anthropic:10-3
    46. AI research evidence record grok:1
    47. AI research evidence record anthropic:7-3
    48. AI research evidence record perplexity:c1
    49. AI research evidence record openai:c4
    50. AI research evidence record perplexity:c14
    51. AI research evidence record perplexity:c10
    52. AI research evidence record perplexity:c4
    53. AI research evidence record anthropic:8-1
    54. AI research evidence record anthropic:34-1
    55. AI research evidence record openai:c6
    56. AI research evidence record openai:c8
    57. AI research evidence record openai:c0
    58. AI research evidence record anthropic:12-6
    59. AI research evidence record anthropic:2-3
    60. AI research evidence record openai:c1
    61. AI research evidence record anthropic:8-2
    62. AI research evidence record anthropic:36-16
    63. AI research evidence record openai:c0
    64. AI research evidence record openai:c7
    65. AI research evidence record openai:c8
    66. AI research evidence record deepseek:c2
    67. AI research evidence record anthropic:10-1
    68. AI research evidence record anthropic:34-1
    69. AI research evidence record anthropic:7-8
    70. AI research evidence record anthropic:33-2
    71. AI research evidence record openai:c0
    72. AI research evidence record anthropic:1-2
    73. AI research evidence record kimi:makerstack-citable
    74. AI research evidence record kimi:clearcited-geo
    75. AI research evidence record kimi:cite-solutions-b2b
    76. AI research evidence record kimi:get-ryze-geo
    77. AI research evidence record openai:c0
    78. AI research evidence record anthropic:7-3
    79. AI research evidence record perplexity:c1
    80. AI research evidence record perplexity:c4
    81. AI research evidence record anthropic:12-6
    82. AI research evidence record anthropic:7-8
    83. AI research evidence record openai:c6
    84. AI research evidence record openai:c7
    85. AI research evidence record openai:c8
    86. AI research evidence record anthropic:10-1
    87. AI research evidence record anthropic:1-11
    88. AI research evidence record anthropic:1-2
    89. AI research evidence record anthropic:1-3
    90. AI research evidence record anthropic:3-8
    91. AI research evidence record anthropic:3-10

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
6
Source records
40
Ranking mentions
2 of 6
Platform share
33%
Final consensus rank
#4

Research trail and source mix

Configured platforms

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

Source mix

24 independent · 16 company-owned

Evidence support

18 direct · 6 partial

Important limitation

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Source snapshot SHA-256 9a9a33bad76e4ef4d8e272a3002f5b84d4b46731144e96e210764e44059d2195