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AI Consensus Fit Review

Scrunch AI AI Search Audit Service Fit Review for CMOs

Scrunch AI is a good fit for CMOs who need recurring AI-search visibility measurement, competitor benchmarking, citation-source analysis, and site diagnostics — but it is not a confirmed fully managed, board-ready audit service.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

Scrunch AI is a good fit for CMOs who need recurring AI-search visibility measurement, competitor benchmarking, citation-source analysis, and site diagnostics — but it is not a confirmed fully managed, board-ready audit service. Two of seven platforms named Scrunch AI during the ranking stage (deepseek and openai), giving it a 28.6% share of included platform responses, an average listed rank of 4.5, and a best listed rank of 2. The strongest reason to consider it is its combination of mention, citation, competitor, crawler, and GA4 referral analytics in one platform starting at a published $250/month Core tier. The main limitation is that executive reporting, strategy calls, dedicated support, and broader model coverage sit behind custom-priced Enterprise terms.

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7 platforms (deepseek, openai)
Share of included platform responses28.6%
Average listed rank4.5
Best listed rank2
Relevant product/model/planScrunch Monitoring & Citations, Site Diagnostics, Signals, Explorer, Agent Traffic analytics; Core plan ($250/month) and custom Enterprise
Overall use-case fitGood
Research date2026-09-18

Why Scrunch AI Qualified for This Study

Questions This Section Answers

  • Is Scrunch AI a good choice for AI Search Audit Services for CMOs?
  • 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 evaluated — deepseek and openai — during the ranking discovery stage, meeting the study's minimum-mention threshold of two. That is a 28.6% share of included platform responses, with an average listed rank of 4.5 and a best listed rank of 2 (openai). The remaining five platforms evaluated Scrunch AI's fit for this use case but did not name it during ranking discovery, so their outputs are treated as fit research rather than ranking evidence.

The entity also matched the study's category criteria directly. Scrunch publicly markets brand monitoring in AI assistants, citations, competitor benchmarking, and crawler analytics [1], and its platform covers recommendation and mention measurement, competitor benchmarking, influential source-domain analysis, content and authority gaps, and prioritized recommendations [2]. Those map onto the six configured criteria for this category.

Qualification is not an endorsement of quality. Inclusion means the entity was surfaced by at least two platforms for this buyer prompt and could be evaluated against the use case. For the broader field, see the AI Search Audit Services for CMOs consensus index.

The Product, Model, Plan, or Service Most Relevant to AI Search Audit Services for CMOs

Questions This Section Answers

  • Which Scrunch AI plan should a CMO choose for board-ready AI search visibility reporting?
  • Does Scrunch AI's Core plan include the AI platforms a CMO needs for a full competitive audit?

The relevant offering is Scrunch's monitoring and citations platform plus Site Diagnostics, Signals, Explorer, and Agent Traffic analytics, sold through a self-serve Core plan and a custom Enterprise tier [6]. Scrunch describes the platform as an AI customer experience platform for AI search visibility and optimization [9].

Core is listed at $250/month billed annually, or $300/month month-to-month, and includes 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four AI platforms [6]. Enterprise is custom-priced with nine listed AI platforms and additional enterprise features [6]. Scrunch also lists an Agency Core plan at $500/month, relevant only to agency buyers [6].

The four Core platforms are ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot. Claude, Gemini, Meta AI, Google AI Mode, and Grok are positioned in Enterprise [6]. Independent reviewers describe the same gating [15].

For a CMO, the practical question is whether the audit deliverable is a platform output or a human-produced board document. Public evidence supports the former clearly and the latter only partially. Scrunch's own materials describe Signals, Explorer, and Scrunchie as analysis aids [16], and Enterprise as including executive or board reporting, strategy or review calls, onboarding, and a dedicated account team [16]. The reviewed public sources do not establish whether Scrunch itself provides a human analyst or formal consulting deliverable as part of the standard product.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Scrunch AI does well for CMO-level AI search audits?
  • Is Scrunch AI strong at citation and competitor analysis for AI search?

Agreement was strongest on measurement breadth and competitive intelligence. Multiple platforms independently described Scrunch as tracking brand mentions, citations, sentiment, position, and competitive presence across AI platforms [17]. This is a majority-level agreement across the fit-research responses, not unanimity.

Competitor benchmarking drew consistent support. Scrunch compares brand and competitor mentions and citations across tracked prompts, topics, personas, funnel stages, and time periods, and offers suggested competitors plus alerts when competitors gain visibility [21]. Google's research described share-of-voice tracking against up to five competitors on Core [24].

Influential source-domain analysis was also broadly supported. Scrunch identifies competitor and third-party pages cited in AI answers and calculates an Influence Score based on citation frequency and unique prompts [21]. Domain-level analytics for cited sources are documented in product updates [28].

Crawler and referral intelligence drew agreement from openai, anthropic, and google. Agent Traffic distinguishes training, indexing, and retrieval bots and reports model, page, and request activity [29], while AI Referrals uses GA4 to report AI-referred sessions, landing pages, conversions, and revenue when configured [30].

Pricing structure was the most consistent commercial finding: a published self-serve entry tier around $250/month annual, a higher self-serve tier, and custom Enterprise pricing [33].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do AI platforms disagree about whether Scrunch AI is a strong fit for CMO board reporting?
  • Is Scrunch AI's reporting capability sufficient for executive presentations without manual work?

Fit ratings diverged. Grok rated Scrunch a strong fit; openai, anthropic, deepseek, google, and perplexity rated it good; kimi rated it uncertain. Kimi's uncertainty rested on a factual conflict: it treated Scrunch's documented heritage as influencer marketing and audience intelligence, and could not verify a dedicated AI search audit product from independent sources [36]. That position conflicts with the other six platforms, which described an AI-search monitoring product with citations, crawler analytics, and site diagnostics [38]. Buyers should treat the kimi finding as an unresolved conflict rather than a settled limitation.

Reporting capability produced the sharpest disagreement. Scrunch's own materials describe Insights, recommendations, and a "Save as PDF" option for executive sharing [42]. Independent reviews report no native reporting, reliance on manual Excel exports, and no drill-down on charts [44]. Both sets of claims are preserved here; they are not reconciled.

Insights maturity is also contested. Scrunch describes Insights as identifying content gaps and prioritized issues using its modeling and research [42]. One independent review reported that after a week of tracking, most optimization opportunity categories never populated and the insights were confusing [48]. This is a single-reviewer account, not a consensus finding.

Model coverage claims conflict. Scrunch marketing references broad engine coverage, while independent reviews state that Claude, Gemini, Meta AI, AI Mode, and Grok are Enterprise-only [50]. One review also stated Scrunch fully covers ChatGPT only [54], which conflicts with the four-platform Core description in Scrunch's own pricing page [55]. Buyers should verify current coverage in writing.

Plan naming and pricing vary across sources. Public sources disagree on whether the entry self-serve plan is called Core or Starter, and one review reported a $100/month Explorer tier discontinued in July 2026 [56]. A separate independent pricing page lists different tiers entirely [58]. The official pricing page excerpt retrieved for this study shows a Core plan at $250/mo (official:C2), but the retrieved excerpt is marked not verified.

Two further uncertainties are unresolved. First, an acquisition by Sitecore in June 2026 is noted in some sources, with unclear impact on roadmap, integrations, or bundling [59]. Second, the Agent Experience Platform is described as a live feature in vendor materials but as in testing or early rollout with select customers in independent coverage [60].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Which Scrunch AI features matter most for a CMO running an AI search audit?
  • Does Scrunch AI measure AI crawler traffic and AI-referred conversions, not just mentions?

Recommendation and mention measurement is a documented strength. Scrunch measures brand presence, competitive presence, response position, sentiment, citations, prompt-level results, and changes over time, with filters for topic, persona, funnel stage, AI platform, and branded versus non-branded prompts [63]. Independent coverage describes the same monitoring and auditing capabilities as solid [65].

Competitor benchmarking supports multi-dimensional filtering by time period, individual competitor, prompt, persona, AI platform, and geography [67]. The platform identifies prompts where competitors appear but the brand does not [68].

Influential source-domain analysis uses an Influence Score quantifying how broadly and consistently individual sources influence tracked AI responses [69]. Citation Intelligence identifies domains and individual URLs cited by AI systems [71].

Content and authority gaps are addressed through Site Diagnostics, which evaluates AI accessibility, content quality, agent traffic, citations, and page-level performance [72], and through a Content Gaps tool that auto-detects missing content and turns gaps into briefs [73]. Independent review describes a content quality score and per-page improvement checklist [74], while also noting that manual page-by-page checking is not feasible for large sites [76].

Prioritized improvement roadmap support is partial. Signals surfaces meaningful changes, explains why they matter, and recommends actions, and Site Diagnostics prioritizes page-level fixes [77]. Public materials support prioritized recommendations but do not establish a human-produced, board-ready strategic roadmap as a standard deliverable.

AI crawler and referral intelligence is a differentiator. Agent Traffic tracks AI platforms, bot request types, pages, and chronological bot requests [79], requires CDN or hosting integration, and AI Referrals uses GA4 to measure AI-referred sessions, conversions, revenue, and landing pages [80]. Independent coverage confirms named-crawler tracking for GPTBot, ClaudeBot, and PerplexityBot alongside GA4 referral data [81].

Data collection is sampled, not exhaustive. Scrunch says it collects AI responses through browser automation and official APIs, with daily collection for new prompts during the first 14 days followed by a default 72-hour refresh cadence [83]. Results should be treated as sampled measurements that vary by prompt design, geography, model version, and collection method.

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 extra Scrunch AI fees should a CMO budget for beyond the Core plan?

Published entry pricing is $250/month billed annually or $300/month month-to-month for Core, which includes 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four AI platforms [85]. A higher self-serve tier is reported at $417/month annual or $500/month monthly [88]. Enterprise pricing is custom and not publicly specified [85].

Additional costs are documented but incompletely priced. API usage is billed by the number of AI responses collected rather than API-call count, with rates not publicly specified [90]. Agent Traffic and AXP are described as separate add-ons not included in base plans [91]. Additional user seats are reported at $25 per user per month, or $75/month for five seats [93]. Prompt credits multiply by engine: tracking one prompt across four engines consumes four credits [94].

Trial and cancellation terms are partially documented. A 7-day Core trial is available, and the trial automatically upgrades to a paid plan if the user continues; after cancellation, data remains accessible through the current billing cycle and the account then becomes inactive [96]. Annual billing carries an effective discount described in one summary as roughly 17% or two months free [89].

Several cost elements are not publicly specified: Enterprise pricing, annual discounts beyond the listed Core rate, overage rates, service-level commitments, data-retention terms, and Enterprise cancellation mechanics [85]. One platform reported no public pricing found on the pages it checked [97], which conflicts with the published Core rate reported by others; the discrepancy likely reflects which pages were checked rather than a genuine pricing conflict.

The official terms page retrieved for this study includes an "as is" disclaimer, a liability cap set at the greater of 12 months of fees paid or $1,000 USD, Utah governing law, and a publicity clause permitting Scrunch to publish customer names and logos (official:C3). That excerpt is marked not verified and should be confirmed against the signed agreement.

Best Suited For

Questions This Section Answers

  • Who gets the most value from Scrunch AI for CMO-level AI search audits?
  • Is Scrunch AI a good fit for a CMO who needs recurring AI visibility measurement rather than a one-time audit?

Scrunch is best suited to marketing teams that need recurring measurement of brand mentions, citations, position, sentiment, and competitive share of voice across AI platforms [98]. CMOs seeking source-domain analysis, competitor visibility gaps, content recommendations, and prioritized technical or content improvements fit the documented capability set [101].

Organizations that want to connect AI visibility with AI bot traffic and GA4-based AI referrals are also well matched, since Agent Traffic and AI Referrals are documented products [104]. Enterprise brands and agencies with dedicated technical teams to act on monitoring insights appear repeatedly in platform fit assessments (anthropic, openai, grok).

Buyers with SOC 2 compliance and enterprise security requirements are addressed in independent coverage, which describes SOC 2 Type II compliance with SAML/OAuth SSO and role-based access control [107]. Multi-brand architecture and an agency partner program are also described for marketing leaders managing multiple divisions or clients [109].

A practical fit signal: teams already running a functioning SEO process and adding an AI-search layer tend to match the product's monitoring-and-diagnostics shape better than teams seeking a single end-to-end execution platform (anthropic).

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Scrunch AI for AI Search Audit Services for CMOs?
  • Is Scrunch AI a poor fit for a CMO who needs a fully managed consulting engagement?

Buyers seeking a fully managed consulting engagement with guaranteed board-ready interpretation and implementation are not well matched, because public evidence supports platform-generated recommendations but not a guaranteed human-led audit, consulting roadmap, or implementation service (openai, anthropic).

Teams requiring unlimited prompts, complete multi-domain audits, advanced integrations, SAML/OIDC, or dedicated executive reporting without negotiating Enterprise terms should expect friction, since those capabilities are Enterprise-oriented [110]. Small buyers that only need lightweight mention tracking at lower cost are also a weaker match given the $250/month entry point [114].

Organizations requiring live, real-time decision-making may be disappointed; one independent review reported weekly data exports rather than real-time intelligence (anthropic). Buyers who need integrated content execution in the same platform should note that Scrunch identifies gaps but does not execute content fixes, and AXP remains in limited rollout [115].

Buyers who require published enterprise pricing and contract terms before sales contact are a poor fit, since Enterprise pricing, contract length, and cancellation terms are not publicly transparent [117]. Teams that demand independently audited outcome studies before purchase should also look elsewhere; no independent third-party outcome study or recognized analyst evaluation was located in the sources checked [117].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Scrunch AI for a CMO who needs board-ready executive reporting?
  • When is a cheaper AI visibility tool a better choice than Scrunch AI for a CMO?

Choose a managed AI-search consultancy when the CMO needs interviews, stakeholder alignment, board narrative development, and implementation ownership rather than software access (openai). Choose a lower-cost monitoring tool when the requirement is limited to basic mentions, citations, or share-of-voice tracking without site diagnostics or crawler analytics; independent coverage points to entry tiers around $29–$95/month from other vendors (openai, anthropic).

For board-ready reporting specifically, one platform's research named Indexable (composite visibility number, GEO scorecard, 14-day diagnostic) and Vovance (executive scorecard, 24-hour turnaround, revenue-risk framing) as alternatives [118]. For proven multi-platform measurement, the same research named Indexable, TurboAudit, and Arobis [118]. For budget constraints, it named GetAISearchAudit at a $79 beta price and TurboAudit Starter at $39.99/month [122]. These are platform-reported comparisons, not independently verified benchmarks.

For integrated content optimization and execution in one platform, one platform's research suggested Profound AI, which includes a content remediation layer, and noted Profound is reported as stronger for stakeholder communication (anthropic). For unified SEO plus AEO in a single tool, the same research named Peec AI and Scalenut (anthropic). For prompt-level rank tracking across many engines at lower cost, it named Peec and Otterly (anthropic).

Evaluate enterprise-focused alternatives when complete multi-domain audits, deeper governance, custom reporting, or broader implementation services are mandatory (openai). Buyers who want a broad marketing-intelligence suite rather than an AI-visibility specialist should also look at general platforms (deepseek).

Questions to Verify Before Buying

Questions This Section Answers

  • What should a CMO confirm with Scrunch AI before signing a contract?
  • Does the quoted Scrunch AI plan include a human-reviewed board-ready audit or only self-service outputs?

Ask whether the proposed package includes a human-reviewed, board-ready audit and prioritized roadmap, or only self-service platform outputs (openai). Ask which exact AI platforms, countries, languages, prompt volumes, competitors, and refresh frequencies are included in the quoted plan (openai, perplexity). Ask whether complete site audits, multi-domain tracking, API access, Explorer, Signals, MCP, and executive reporting are included or separately priced [123].

Ask what the overage, API-response, additional-user, additional-workspace, and annual-contract charges are [124]. Ask whether Scrunch can export branded executive reports with methodology, confidence limitations, historical baselines, and competitor comparisons [125]. Ask how prompt localization, model personalization, answer variability, and AI citation changes are normalized (openai).

Ask what security, retention, subprocessors, SSO, access-control, and data-deletion terms apply to the selected plan [126]. Ask whether the vendor can demonstrate a comparable US enterprise audit using the buyer's real competitors and priority prompts before purchase (openai). Ask how the June 2026 Sitecore acquisition affects long-term product pricing and feature roadmap [127]. Ask whether GA4 integration attributes conversions to specific AI platforms and citation sources, or only traffic volume (anthropic).

Final AI Consensus Verdict

Scrunch AI is a good fit for CMOs who need an ongoing AI-search measurement and diagnostic platform combining competitive visibility, citation-source analysis, crawler analytics, site audits, and improvement recommendations. It should not be treated as a confirmed fully managed board-audit service without verifying Enterprise scope, human advisory support, reporting deliverables, data methodology, and total cost.

The consensus is qualified rather than uniform. Six of seven platforms rated the fit good or strong; one rated it uncertain based on an unresolved conflict about the company's product identity. Agreement was strongest on measurement breadth, competitor benchmarking, citation and source-domain analysis, and crawler analytics. Disagreement centered on reporting readiness, Insights maturity, model coverage gating, and plan naming.

For a CMO, the decision turns on two questions the public evidence cannot settle: whether the audit deliverable must be a human-produced board document, and whether the priority AI platforms extend beyond ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot. If the answer to either is yes, Enterprise terms and a pre-purchase pilot against real competitors become prerequisites rather than optional steps. Buyers comparing this option against the wider field can start from the ai search audits market intelligence category directory.

How This Review Was Produced

This review was produced from seven AI-platform fit-research responses collected for the prompt: which AI search audit providers would you recommend for CMOs, and why. The study date is 2026-09-18. Two of the seven platforms — deepseek and openai — named Scrunch AI during the ranking discovery stage, meeting the study's minimum-mention threshold of two. The remaining five platforms evaluated Scrunch AI's fit for this use case but did not name it during ranking, so their outputs are treated as fit research rather than ranking evidence.

Platforms evaluated recommendation analysis, mention and citation measurement, competitor benchmarking, influential source-domain analysis, content and authority gaps, and prioritized improvement roadmap support. Each platform supplied its own citations, which are reproduced here as platform-reported evidence. Company-owned sources are distinguished from independent sources in the Sources section.

No personal testing, customer interviews, or independent verification was performed. All capability claims rest on vendor materials, independent reviews, directories, and platform-reported research. Where platforms disagreed, both positions are preserved rather than reconciled.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date. Six platforms reported 2026-09-18; deepseek reported 2026-02-14. Platform-reported dates are provenance metadata and do not independently prove freshness.

All included platforms evaluated fit, but platform_mentions counts only platforms that named the entity during ranking discovery. A platform can assess an entity's fit without having surfaced it in ranking, so fit ratings and mention counts measure different things.

Conflicting product names, pricing, and capabilities were not resolved by guessing. Where sources disagreed — plan naming (Core versus Starter), entry pricing, model coverage, reporting capability, and Insights maturity — 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. Deepseek's research ran with search disabled, so its claims rest on model knowledge and require explicit verification before being described as current facts. The official pricing and terms excerpts retrieved for this study are marked not verified and should be confirmed against the signed agreement.

Several material gaps remain. Enterprise pricing, annual discounts, overage rates, service-level commitments, data-retention terms, and the exact methodology for geographic personalization of US results are not publicly specified. The reviewed public sources do not establish whether Scrunch provides a human analyst or formal consulting deliverable as part of the standard product. Vendor-reported customer outcomes, such as a 364% increase in non-branded brand presence, are company-published case-study claims rather than independent evidence. Scrunch's proprietary Influence Score, predictive recommendations, and reported customer outcomes were not independently validated in the sources checked.

Sources

Company-Owned Sources

Independent Sources

  • AI Visibility Audit for SaaS Brands: https://arobis.ai/ai-visibility-audit
  • Scrunch AI Review: Pricing, Features, and Top Alternatives - Cairrot: https://cairrot.com/alternatives/scrunch-ai-review-pricing-comparison/
  • Scrunch AI Review 2026: Pricing, Features & Honest Verdict | CrawlRaven: https://crawlraven.com/blog/scrunch-ai-review/
  • Scrunch AI Review 2026: Pricing & Crawler Analytics - Geoptie: https://geoptie.com/blog/scrunch-ai-review/
  • Scrunch AI Review (2026): Features, Pricing & Alternatives: https://geotoolbox.ai/blog/scrunch-ai-review
  • AI Search Visibility Audit for B2B SaaS: https://getaisearchaudit.com/
  • AI Search Audit | GEO Audit for Enterprise Brands: https://indexableai.com/ai-search-audit/
  • Scrunch AI Review (2026): Pricing + Sitecore Deal - Meev: https://meev.ai/reviews/scrunch-ai
  • Profound vs Scrunch: Comparing AI Search Tools 2026: https://nicklafferty.com/blog/profound-vs-scrunch/
  • Scrunch AI Review: Is it Worth the Investment? - Radarkit: https://radarkit.ai/blog/scrunch-ai-review/
  • What is Scrunch AI? A Detailed Guide to the Agent Experience Platform: https://simaia.co/resources/what-is-scrunch-ai-a-detailed-guide-to-the-agent-experience-platform
  • TurboAudit — AI Search Audit & Visibility Platform: https://turboaudit.ai/
  • SEO, GEO & AI Visibility Audit for Enterprises: https://vovance.com/seo-ai-visibility-audit
  • Scrunch AI Review (2026): Pricing, Features, and Alternatives | AEO Labs: https://www.aeolabs.ai/blog/scrunch-ai-review
  • What Is Scrunch? AI Search, AEO & GEO Platform - Ansvisor: https://www.ansvisor.com/ai-visibility-glossary/scrunch
  • Scrunch AI Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10030499/Scrunch-AI/
  • Scrunch AI Review: Fix the Code, Win the Answer in 2026 - GetMint: https://www.getmint.ai/blog/scrunch-ai-review
  • Scrunch AI Review: Can it compete with serious AI visibility tools?: https://www.tryprofound.com/blog/scrunch-ai-review
  • Profound vs Scrunch: Comparing AI search tools (2026: https://www.tryprofound.com/resources/articles/profound-vs-scrunch
  • Additional AI research evidence127 records
    1. AI research evidence record deepseek:c1
    2. AI research evidence record openai:c1
    3. AI research evidence record openai:c3
    4. AI research evidence record openai:c5
    5. AI research evidence record openai:c6
    6. AI research evidence record openai:c10
    7. AI research evidence record grok:2
    8. AI research evidence record perplexity:c2
    9. AI research evidence record perplexity:c1
    10. AI research evidence record anthropic:25-1
    11. AI research evidence record google:cit_pricing_2026
    12. AI research evidence record anthropic:17-12
    13. AI research evidence record anthropic:17-14
    14. AI research evidence record google:cit_sightline_comparison
    15. AI research evidence record anthropic:17-13
    16. AI research evidence record openai:c7
    17. AI research evidence record openai:c1
    18. AI research evidence record anthropic:21-1
    19. AI research evidence record google:cit_monitoring_main
    20. AI research evidence record perplexity:c1
    21. AI research evidence record openai:c3
    22. AI research evidence record anthropic:21-2
    23. AI research evidence record anthropic:21-3
    24. AI research evidence record google:cit_measure_sov
    25. AI research evidence record google:cit_pricing_2026
    26. AI research evidence record anthropic:21-7
    27. AI research evidence record anthropic:26-2
    28. AI research evidence record openai:c4
    29. AI research evidence record openai:c8
    30. AI research evidence record openai:c9
    31. AI research evidence record anthropic:16-6
    32. AI research evidence record google:cit_geoptie_review
    33. AI research evidence record openai:c10
    34. AI research evidence record grok:2
    35. AI research evidence record perplexity:c2
    36. AI research evidence record kimi:scrunch-2026
    37. AI research evidence record kimi:indexable-comparison
    38. AI research evidence record openai:c1
    39. AI research evidence record anthropic:3-4
    40. AI research evidence record google:cit_monitoring_main
    41. AI research evidence record perplexity:c1
    42. AI research evidence record openai:c6
    43. AI research evidence record google:cit_better_way_to_answer
    44. AI research evidence record anthropic:20-2
    45. AI research evidence record anthropic:20-5
    46. AI research evidence record anthropic:35-8
    47. AI research evidence record anthropic:35-9
    48. AI research evidence record anthropic:20-13
    49. AI research evidence record anthropic:20-14
    50. AI research evidence record anthropic:17-12
    51. AI research evidence record anthropic:17-13
    52. AI research evidence record anthropic:17-14
    53. AI research evidence record anthropic:35-6
    54. AI research evidence record anthropic:7-4
    55. AI research evidence record openai:c10
    56. AI research evidence record perplexity:c4
    57. AI research evidence record anthropic:35-7
    58. AI research evidence record grok:1
    59. AI research evidence record grok:11
    60. AI research evidence record anthropic:22-6
    61. AI research evidence record anthropic:22-7
    62. AI research evidence record anthropic:32-9
    63. AI research evidence record openai:c1
    64. AI research evidence record openai:c2
    65. AI research evidence record anthropic:22-1
    66. AI research evidence record anthropic:22-2
    67. AI research evidence record anthropic:21-3
    68. AI research evidence record anthropic:21-1
    69. AI research evidence record anthropic:26-2
    70. AI research evidence record openai:c3
    71. AI research evidence record anthropic:26-1
    72. AI research evidence record openai:c5
    73. AI research evidence record google:cit_content_gaps
    74. AI research evidence record anthropic:6-3
    75. AI research evidence record anthropic:6-4
    76. AI research evidence record anthropic:6-5
    77. AI research evidence record openai:c6
    78. AI research evidence record openai:c7
    79. AI research evidence record openai:c8
    80. AI research evidence record openai:c9
    81. AI research evidence record google:cit_geoptie_review
    82. AI research evidence record google:cit_faq_monitoring
    83. AI research evidence record openai:c11
    84. AI research evidence record anthropic:3-5
    85. AI research evidence record openai:c10
    86. AI research evidence record google:cit_pricing_2026
    87. AI research evidence record grok:2
    88. AI research evidence record anthropic:13-3
    89. AI research evidence record perplexity:c2
    90. AI research evidence record openai:c13
    91. AI research evidence record anthropic:32-4
    92. AI research evidence record anthropic:32-9
    93. AI research evidence record anthropic:10-2
    94. AI research evidence record anthropic:35-10
    95. AI research evidence record anthropic:35-11
    96. AI research evidence record openai:c12
    97. AI research evidence record deepseek:c1
    98. AI research evidence record openai:c1
    99. AI research evidence record anthropic:21-1
    100. AI research evidence record google:cit_measure_sov
    101. AI research evidence record openai:c3
    102. AI research evidence record openai:c5
    103. AI research evidence record openai:c6
    104. AI research evidence record openai:c8
    105. AI research evidence record openai:c9
    106. AI research evidence record anthropic:16-6
    107. AI research evidence record anthropic:16-1
    108. AI research evidence record anthropic:16-4
    109. AI research evidence record anthropic:10-8
    110. AI research evidence record openai:c10
    111. AI research evidence record anthropic:17-12
    112. AI research evidence record anthropic:17-14
    113. AI research evidence record google:cit_sightline_comparison
    114. AI research evidence record anthropic:35-7
    115. AI research evidence record anthropic:22-9
    116. AI research evidence record anthropic:32-9
    117. AI research evidence record deepseek:c1
    118. AI research evidence record kimi:indexable-comparison
    119. AI research evidence record kimi:vovance-comparison
    120. AI research evidence record kimi:turboaudit-comparison
    121. AI research evidence record kimi:arobis-comparison
    122. AI research evidence record kimi:getaisearchaudit-comparison
    123. AI research evidence record anthropic:32-4
    124. AI research evidence record anthropic:10-2
    125. AI research evidence record anthropic:35-8
    126. AI research evidence record anthropic:16-1
    127. AI research evidence record grok:11

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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
51
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#5

Research trail and source mix

Configured platforms

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

Source mix

25 independent · 26 company-owned

Evidence support

32 direct · 2 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 a1dc1a454ddbd465e617b22597fa8961e7f889bb1937f612bcd42d3ef27bf0e1