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Scrunch AI Search Agency Fit Review for Competitive Citation Analysis

Scrunch is a mixed-to-good fit for AI Search Agencies for Competitive Citation Analysis, but it is a monitoring platform, not an agency.

Research: 2026-09-186 usable platform responsesRead the methodology ↗

Answer Capsule

Scrunch is a mixed-to-good fit for AI Search Agencies for Competitive Citation Analysis, but it is a monitoring platform, not an agency. Two of six included platforms named Scrunch during the ranking stage (deepseek at rank 3, perplexity at rank 7), giving it a 33.3% share of included platform responses and an average listed rank of 5.0. The strongest reason to consider it is direct competitor citation mapping: cited domains and pages, Influence Scores, Suggested Competitors, and AI-bot analytics [1]. The main limitation is that Scrunch monitors rather than executes — no content briefs, no managed GEO strategy, weekly rather than daily updates, and pricing that conflicts across sources [3].

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 6 included platforms (deepseek, perplexity)
Share of included platform responses33.3%
Average listed rank5.0
Best listed rank3 (deepseek)
Relevant product/model/planScrunch AI search visibility platform with competitor citation and AI-bot analytics; Agency Core or Agency Enterprise for agency buyers
Overall use-case fitMixed (openai), Good (anthropic, deepseek, perplexity), Strong (grok), Uncertain (kimi)
Research date2026-09-18

Why Scrunch Qualified for This Study

Questions This Section Answers

  • Why did Scrunch qualify for a competitive citation analysis study when it is a software platform rather than an agency?
  • Is Scrunch a good choice for AI Search Agencies for Competitive Citation Analysis?

Scrunch qualified because its published capabilities map directly onto the study's category criteria: competitor citation mapping, domain and page influence identification, citation architecture comparison, missing-authority-source detection, and GEO strategy inputs. It was named during ranking discovery by deepseek (rank 3) and perplexity (rank 7), and all six included platforms evaluated it for fit even though only two named it in the ranking stage.

The qualification is capability-based, not service-based. Scrunch is a software platform the agency operates itself, not a managed agency that delivers finished competitive citation reports [6]. Buyers expecting a done-for-you engagement should treat Scrunch as the analytics layer inside their own service delivery.

Scrunch states that it tracks competitor visibility across AI platforms, supports filtering by competitor, topic, persona, funnel stage, and time period, and reports competitor mentions and citations for tracked prompts and prompt variants [7]. It also describes Suggested Competitors, an automated method for identifying competitive brands from prompt responses and adding them with historical data backfill [9].

One platform, kimi, reported that scrunch.com markets an influencer marketing platform and could not verify any AI search monitoring product [10]. That finding conflicts directly with the other five platforms and with Scrunch's own published pages. The conflict is disclosed rather than resolved; buyers should confirm the current product line directly. This review is one entry in the broader AI Search Agencies for Competitive Citation Analysis consensus index, which compares multiple vendors against the same criteria.

The Product, Model, Plan, or Service Most Relevant to AI Search Agencies for Competitive Citation Analysis

Questions This Section Answers

  • Which Scrunch plan should an agency choose for multi-brand competitive citation analysis?
  • Does Scrunch Agency Core include competitor citation drill-down and Influence Scores, or are those Enterprise-only?

The relevant offering is Scrunch's AI search visibility platform with competitor citation and AI-bot analytics, sold through Core, Growth, Agency Core, and Enterprise tiers depending on the source [11]. For agencies, the agency-oriented tier is the intended entry point: Scrunch publishes separate Agency Core and Agency Enterprise tiers, indicating an agency-oriented commercial offering [11].

Reported plan structures conflict. Scrunch's own FAQ states Agency Core costs $500 per month, Agency Enterprise is custom-priced, Core includes 125 unique prompts and four AI platforms, and a 7-day Core trial is available [11]. An independent review describes Agency Core as including 250 unique prompts, 5 site audits per brand per month, 3 brand workspaces, 3 pitch workspaces, and unlimited user licenses [12]. Another independent review describes Core as including 125 unique prompts, 5 site audits per month, 1 brand workspace, and 5 user licenses [14]. Perplexity's research surfaced Explorer at $83 per month billed annually, Growth at $417 per month billed annually or $500 month-to-month, and Enterprise as custom pricing [13].

The official pricing page excerpt retrieved during this run shows a "Core" tier at $250/mo alongside unrelated placeholder content, and the official homepage excerpt contains content about a different product entirely (official:C2, official:C1). Those excerpts are retrieved but not verified, and they do not resolve the conflict. Treat every plan name, prompt count, workspace limit, and price point as unconfirmed until Scrunch confirms it in writing.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Scrunch does well for competitive citation analysis?
  • Does Scrunch track which domains and pages influence AI answers?

Platforms broadly agreed on citation-source mapping. Scrunch reports which competitor and third-party webpages influence AI answers and provides an Influence Score based on citation frequency and the number of unique prompts associated with a source [16]. It reveals which domains are cited most often across tracked AI answers [18] and tracks citation data for the buyer's brand, competitors, and third parties across the same prompt set simultaneously [19].

Platforms also agreed on gap detection and competitor discovery. Scrunch's Content Gaps feature auto-detects missing content where competitors are cited but the buyer is not [20], and Suggested Competitors identifies brands appearing in prompt-response data and can backfill historical prompt data [21].

Agreement on AI-bot and crawler analytics was also consistent. Scrunch provides a real-time bot crawling feed showing when GPTBot or PerplexityBot access pages [22], integrates with GA4 and Cloudflare to track AI crawler visits categorized by intent [23], and supports GA4 or Adobe Analytics [24].

Platform coverage was described consistently in structure but not in count. Core is described as covering four AI platforms — ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot — while Enterprise extends to nine, adding Gemini, Claude, Google AI Mode, Grok, and Meta AI [25]. One independent review lists ChatGPT, Claude, Perplexity, Meta AI, Google AI Mode, Google AI Overviews, and Gemini as tracked [27]. Another reports that Core lacks Google AI Mode and Copilot coverage [28], which conflicts with the four-platform Core description. These counts are platform-reported and not independently verified.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How often does Scrunch refresh citation data, and is weekly updating fast enough for competitive monitoring?
  • Is Scrunch a managed agency or a self-serve software platform for competitive citation analysis?

The sharpest disagreement is about what Scrunch is. Five platforms evaluated it as an AI search visibility platform; kimi reported that scrunch.com describes an influencer marketing platform with no discoverable AI search monitoring product [29]. Kimi's finding is an outlier that contradicts Scrunch's own published pages, but it is a material conflict and is preserved here rather than dismissed.

Data update frequency is disputed. One independent review lists weekly rather than daily data updates as a weakness [30], and another repeats that finding while adding that Core lacks Google AI Mode or Copilot coverage [31]. Scrunch's own FAQ does not state update cadence explicitly, so weekly should be treated as a reported constraint rather than a confirmed specification.

Actionability is a consistent limitation across independent reviews. One review states Scrunch identifies optimization opportunities but stops short of making them actionable [32], that it does not share prompt volume data and its prompt trend feature is too basic to be actionable [33], and that user reviews suggest the data is not easy to share with stakeholders or act on [34]. Another states Scrunch is not built for full content execution [35].

Methodology disclosure is incomplete. Public materials describe features and platform coverage but do not fully disclose data collection frequency, sampling methodology, model-access method, citation deduplication, confidence intervals, or geographic controls [36]. Scrunch publishes proprietary citation research, but the cited page identifies the data as Scrunch proprietary rather than independent validation [36].

Ownership status changed during the research window. Sitecore acquired Scrunch for approximately $225 million, announced June 3, 2026 [37]. Reporting states Scrunch will continue to operate as a standalone platform and existing customers and partners will continue to be supported [39], and that organizations using Scrunch without Sitecore do not need to change anything today [40]. Those two sources carry partial support strength. No public commitment to a pricing freeze or feature independence was located.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Scrunch let an agency compare citation architecture across multiple client brands in one workspace?
  • Can Scrunch segment competitor citation data by persona, geography, and funnel stage?

Citation-source mapping is the core capability. Scrunch reports which competitor and third-party webpages influence AI answers and calculates an Influence Score from citation frequency and unique prompt count [41]. It reveals the domains cited most often across tracked AI answers [43].

Cross-brand comparison is supported. Scrunch tracks citation data for the buyer's brand, competitors, and third parties across the same prompt set simultaneously, which removes apples-to-oranges comparison problems [44]. Citation data can be filtered by topic, persona, funnel stage, and AI platform [45], and competitive data can be filtered by time period, individual competitors, prompt, persona, AI platform, and geography [46]. Independent reviews describe citation analysis filtered by persona, topic, geography, and competitor for specific buyer segments [47].

Gap detection and competitor discovery are automated. Content Gaps auto-detects missing content where competitors are cited but the buyer is not [48]. Suggested Competitors identifies competitive brands from prompt responses and backfills historical data [49].

Temporal trend analysis is available. Scrunch tracks citation trends over time showing which citations are rising, declining, disappearing, or newly emerging [50].

Bot and referral analytics connect citations to site activity. Scrunch provides a real-time bot crawling feed for GPTBot and PerplexityBot [51], GA4 and Cloudflare integration with crawler visits categorized by intent [52], and documentation covering citation measurement, competitive monitoring, AI-bot traffic, AI referrals, daily model snapshots, and GA4 or Adobe Analytics support [53]. Scrunch documentation also describes using citation-owner filters combined with cited-page, AI-agent-crawl, and referral information to identify pages and sources relevant to optimization [54].

Compliance is a differentiator in independent coverage. Scrunch holds SOC 2 Type II certification, described as the only citation tracking tool with that compliance level in one review [55], and another review frames SOC 2 certification with real-time bot crawling feeds as the safest choice for regulated industries [56]. These are independent review claims, not audited confirmations.

Execution is not included. Scrunch identifies citation gaps and opportunities but does not create content briefs, optimization recommendations, or drafts [57]. The Agent Experience Platform reformats content so AI agents can read and use it accurately without altering human experience [59], which is a structuring capability rather than a content-production service.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Scrunch cost per month for an agency plan, and are there setup or cancellation fees?
  • What contract term and cancellation notice applies to Scrunch Agency Core?

Published pricing is inconsistent across sources, and no single figure should be treated as current. Scrunch's FAQ states Agency Core costs $500 per month and Agency Enterprise is custom-priced [60]. An independent review states Agency Core is priced at $500 per month and is designed for agencies managing multiple client brands [61]. Another independent review references a $250/month price point for Core [62], and a third references a $300/month figure in its title framing [63]. Perplexity's research surfaced Explorer at $83 per month billed annually, Growth at $417 per month billed annually or $500 month-to-month, and Enterprise as custom pricing [64]. Grok's research lists Core at $250 per month, Agency Core at $500 per month, and Enterprise custom [66]. The official pricing page excerpt retrieved during this run shows a Core tier at $250/mo but is marked retrieved-not-verified and is surrounded by unrelated placeholder content (official:C2).

Additional costs are largely undisclosed. Potential additional costs for Enterprise features, expanded prompts, workspaces, integrations, API access, or other custom requirements are unclear from the cited public pricing information [60]. One platform reports an annual discount of approximately 17% versus monthly pricing and notes that API access is included in Core while advanced API and CLI may require Enterprise [67]. Another platform reports that no verified public SLA, refund, onboarding fee, or minimum term was found [65].

Contract terms are not published. Contract length, renewal, cancellation, refund, annual-commitment, and service-level terms are not stated in the cited pricing FAQ [60]. One platform reports monthly plans with no explicitly stated cancellation penalties and unclear Enterprise contract length, minimum commitment, and early termination clauses [61]. The retrieved terms page excerpt includes an as-is disclaimer, a liability cap at the greater of 12 months of fees paid or $1,000 USD, a class-action and jury waiver, Utah governing law, and a publicity clause permitting Scrunch to publish customer names and logos (official:C3). That excerpt is retrieved-not-verified and should be read in full before signing.

Best Suited For

Questions This Section Answers

  • Which agencies get the most value from Scrunch for competitive citation analysis?
  • Is Scrunch worth it for an agency managing five or more client brands?

Scrunch is best suited to agencies that need repeatable, cross-platform competitor citation monitoring rather than one-off analysis [68]. It fits agencies comparing brand, competitor, and third-party source influence across tracked prompts [69], and teams that want historical visibility trends, suggested competitors, AI-bot traffic, and client reporting inputs [70].

It also fits agencies managing multiple client brands that need centralized AI citation monitoring across ChatGPT, Perplexity, Google AI Overviews, and Copilot [72]. Agencies prioritizing SOC 2 compliance and real-time bot crawl attribution via GA4 integration are a stated fit [74]. Teams seeking granular citation filtering by persona, topic, geography, and funnel stage to isolate competitor displacement patterns are also a stated fit [76]. B2B agencies tracking comparison and integration prompts where competitors are cited but the client brand is not are a stated fit [77].

One platform frames the ideal buyer as agencies managing 5+ client brands with strong compliance needs and budget for specialized AI monitoring [78]. That threshold is platform-reported, not a verified requirement.

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Scrunch for competitive citation analysis?
  • Is Scrunch a bad fit for agencies that need daily citation updates or content execution?

Buyers seeking a managed agency that performs strategy, content creation, digital PR, or implementation should not choose Scrunch for that purpose [79]. Scrunch is software rather than a managed AI-search agency; strategy execution, outreach, content production, and client consulting remain the buyer's responsibility unless separately contracted [79].

Small buyers needing broad AI-platform coverage at the lowest possible monthly cost are a poor fit [79]. One platform notes entry pricing of $250–$300/month is steep relative to simpler citation trackers starting at $29 [80]. Solo marketers and small teams with limited AI search budgets are listed as probably not best suited [80].

Agencies needing daily data updates should look elsewhere. Scrunch provides weekly updates, which may lag competitive shifts [81]. Agencies expecting Scrunch to prescribe actionable content briefs are also a poor fit, because the platform identifies gaps but does not create optimization recommendations [83]. Organizations requiring full GEO execution within one platform should not expect it; Scrunch monitoring must combine with external content creation and SEO tools [80].

Agencies requiring independently audited citation data, guaranteed model coverage, or fully disclosed methodology are a stated poor fit [84]. Teams needing comprehensive traditional SEO auditing alongside AI visibility are also a poor fit, since Scrunch is AI-focused and lacks rank tracking or technical SEO features [85].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Scrunch for an agency that needs daily citation updates or built-in content execution?
  • Should an agency choose a managed GEO service instead of Scrunch for competitive citation analysis?

A managed GEO or AI-search agency is the better choice when the buyer needs research translated into content, digital PR, technical changes, or ongoing execution rather than analytics software [86]. A broader SEO suite is better when the agency needs conventional rankings, backlinks, keyword research, and AI visibility in one procurement [86]. An enterprise vendor with independently documented methodology, contractual data guarantees, or custom APIs is better when citation evidence must support high-stakes client reporting [87]. A lower-cost or simpler tracker is better when the agency has few clients, low prompt volume, or only needs basic brand-presence monitoring [86].

For daily or real-time updates, one platform names Profound or AthenaHQ as offering faster update cycles [88]. For embedded content creation and optimization, one platform names Profound or Omnia as combining citation analysis with AI-powered content briefs and drafting [89]. For severe budget constraints, one platform names Otterly.AI and other entrants starting at $29–$99/month versus Scrunch's $250 floor [89]. For integrated traditional SEO and AI search tracking, one platform names Ahrefs, SEMrush, or CrawlRaven [90]. For governance and brand-integrity monitoring of inaccurate AI claims, one platform names AthenaHQ [88]. For compliance frameworks beyond SOC 2, one platform advises verifying HIPAA or other strict frameworks pre-purchase [91].

Kimi's research named a different alternative set entirely: Cited (citedintel.com), Citingly, CiteMetrix, Web Cited, GEO Heist by GrackerAI, Viali, and Citeme [92]. Those alternatives are listed because they were supplied, not because this review validated them. Buyers comparing across the wider market can start from the ai search geo agencies directory.

Questions to Verify Before Buying

Questions This Section Answers

  • What should an agency confirm with Scrunch before signing a contract for competitive citation analysis?
  • Does Scrunch Agency Core include competitor citation drill-down, Influence Scores, and source exports?

Confirm plan scope first. Ask whether Agency Core includes competitor citation drill-down, Influence Scores, Suggested Competitors, historical backfill, and source exports, or whether any of these are Enterprise-only [96]. Ask how many client workspaces, brands, competitors, prompts, users, and tracked locations are included [98].

Confirm data mechanics. Ask what the exact daily or monthly collection limits and overage charges are [100]. Ask which AI platforms, countries, languages, and response modes are actually supported for the agency's clients [100]. Ask how Scrunch distinguishes citations from mentions, duplicate URLs, syndicated content, and citations generated by different model interfaces [102]. Ask what historical lookback period is available for newly added competitors [97].

Confirm commercial and legal terms. Ask what contract term, cancellation notice, renewal, refund, uptime, and data-retention provisions apply [100]. Ask whether white-label dashboards, scheduled reports, CSV exports, API access, and integrations are included or separately priced [103]. Ask whether the SOC 2 Type II certification covers all tiers or only Enterprise, and what audit trails are available for regulated-industry compliance [104].

Confirm post-acquisition status. Ask whether Scrunch commits to standalone operation, pricing independence, and product roadmap autonomy following the Sitecore acquisition, or whether it will be bundled into Sitecore's DXP at higher cost [105]. Ask how Scrunch handles competitive monitoring when a client's direct competitors are also Scrunch customers, and whether data firewalls or confidentiality protections exist [107].

Request proof before committing. Ask for a sample competitive citation report using the agency's target market and prompts [96]. Ask what independent validation or audit information is available for citation counts, influence scores, and bot-traffic attribution [102].

Final AI Consensus Verdict

Scrunch is a credible analytics layer for an AI Search Agency conducting competitive citation analysis, and a poor substitute for a managed agency. Two of six included platforms named it during ranking discovery, with an average listed rank of 5.0 and a best rank of 3. Fit ratings split across platforms: strong (grok), good (anthropic, deepseek, perplexity), mixed (openai), and uncertain (kimi).

The case for Scrunch rests on published capabilities that match the category criteria: competitor citation mapping, Influence Scores, cross-brand citation comparison on the same prompt set, Content Gaps, Suggested Competitors, temporal trend analysis, and AI-bot attribution [108]. The case against rests on execution gaps, weekly update frequency, conflicting pricing and plan structures, incomplete methodology disclosure, and a June 2026 acquisition that leaves pricing and roadmap independence unconfirmed [114].

Platform agreement here reflects repeated sourcing from Scrunch's own pages, not independent proof of product quality. Company-owned citations materially outnumber independent citations in this evidence set, and the strongest capability claims trace back to Scrunch's own documentation. Buyers should treat every plan name, price, prompt limit, and platform count as unverified until Scrunch confirms it in writing.

How This Review Was Produced

This review was produced from platform fit-research responses collected for the topic "Best AI Search Agencies for Competitive Citation Analysis" using the research date 2026-09-18. Six platforms were included in the fit-research stage: openai, anthropic, deepseek, grok, perplexity, and kimi. Each platform returned a structured assessment covering use-case findings, strengths, limitations, pricing and terms, alternatives, and questions to verify before buying.

Ranking statistics were calculated from the ranking stage only. Two of six included platforms named Scrunch during ranking discovery — deepseek at rank 3 and perplexity at rank 7 — producing a 33.3% share of included platform responses, an average listed rank of 5.0, and a best listed rank of 3. All six platforms evaluated fit even though only two named Scrunch in the ranking stage.

Citations are platform-reported evidence and were not independently verified by the writer stage. The supplied URLs were collected from platform responses and were not independently validated. Company-owned sources were separated from independent sources in the Sources section below.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date of 2026-09-18. Deepseek's research is dated 2026-05-30, roughly three and a half months earlier, and its findings may not reflect changes after that date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Deepseek's research was conducted with search disabled, so its claims rest on model knowledge rather than retrieved pages. Those claims should be treated as platform-reported and unverified.

Pricing, plan names, prompt limits, workspace counts, and platform coverage conflict across sources and could not be resolved from the supplied evidence. The official pricing and homepage excerpts retrieved during this run were marked retrieved-not-verified, and the homepage excerpt contained unrelated placeholder content about a different product, so it does not confirm Scrunch's current product line.

Kimi reported that scrunch.com markets an influencer marketing platform and that no AI search monitoring product was discoverable [118]. This conflicts with five other platforms and with Scrunch's own published pages. The conflict is disclosed and left unresolved.

Company-owned citations materially outnumber independent citations in this evidence set. Scrunch's strongest capability claims come from its own documentation, and its citation research is labeled proprietary rather than independently validated [119]. Platform agreement on those claims reflects repeated sourcing, not independent verification.

Public materials do not fully disclose data collection frequency, sampling methodology, model-access method, citation deduplication, confidence intervals, or geographic controls [119]. Citation and influence measurements may vary by prompt construction, sampling frequency, platform changes, geography, personalization, and model response volatility [119].

The Sitecore acquisition was announced June 3, 2026 [120]. Statements that Scrunch will operate standalone and that existing customers need not change anything carry partial support strength [121]. No public commitment to a pricing freeze or feature independence was located.

No personal testing, customer experience, or independent verification was performed for this review. No claim here should be read as proof of product quality.

Sources

Company-Owned Sources

  • Competition Tracking - CiteMetrix: https://citemetrix.com/docs/competition-tracking/
  • Citingly — AI Brand Intelligence Platform: https://citingly.com/
  • Scrunch | AI Search Visibility Platform: https://scrunch.com/
  • New in Scrunch: Auto-detect competitive brands in AI search with Suggested Competitors: https://scrunch.com/blog/2025-12-suggested-competitors-auto-detect-competitive-brands-in-ai-search/
  • Scrunch | Blog - Your AI search citation questions, answered: https://scrunch.com/blog/ai-search-citation-questions-answered
  • 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/
  • Scrunch | Monitoring for AI Search: https://scrunch.com/platform/monitoring/citations/
  • Pricing - Scrunch: https://scrunch.com/pricing/
  • Web Cited | Weekly AI Citation Monitoring for SEO, AEO & GEO: https://web-cited.com/
  • AI SEO & Generative Engine Optimization (GEO) Tool | Cited: https://www.citedintel.com/
  • Official pricing and terms source: https://scrunch.com/terms/
  • Additional AI research evidence122 records
    1. AI research evidence record openai:scrunch-competitor-faq
    2. AI research evidence record anthropic:2-7
    3. AI research evidence record anthropic:12-6
    4. AI research evidence record anthropic:16-7
    5. AI research evidence record perplexity:c7
    6. AI research evidence record deepseek:scrunch-home
    7. AI research evidence record openai:scrunch-competitor-faq
    8. AI research evidence record anthropic:2-3
    9. AI research evidence record openai:scrunch-suggested-competitors
    10. AI research evidence record kimi:scrunch-1
    11. AI research evidence record openai:scrunch-pricing-faq
    12. AI research evidence record anthropic:15-15
    13. AI research evidence record perplexity:c1
    14. AI research evidence record anthropic:17-4
    15. AI research evidence record perplexity:c2
    16. AI research evidence record openai:scrunch-competitor-faq
    17. AI research evidence record anthropic:2-7
    18. AI research evidence record anthropic:6-5
    19. AI research evidence record anthropic:3-1
    20. AI research evidence record anthropic:9-7
    21. AI research evidence record openai:scrunch-suggested-competitors
    22. AI research evidence record anthropic:8-12
    23. AI research evidence record anthropic:9-6
    24. AI research evidence record openai:scrunch-monitoring-guide
    25. AI research evidence record openai:scrunch-pricing-faq
    26. AI research evidence record anthropic:17-10
    27. AI research evidence record anthropic:22-1
    28. AI research evidence record anthropic:23-9
    29. AI research evidence record kimi:scrunch-1
    30. AI research evidence record anthropic:16-7
    31. AI research evidence record anthropic:23-9
    32. AI research evidence record anthropic:12-6
    33. AI research evidence record anthropic:12-5
    34. AI research evidence record anthropic:12-11
    35. AI research evidence record anthropic:14-11
    36. AI research evidence record openai:scrunch-citation-dynamics
    37. AI research evidence record anthropic:28-1
    38. AI research evidence record anthropic:28-3
    39. AI research evidence record anthropic:37-7
    40. AI research evidence record anthropic:37-8
    41. AI research evidence record openai:scrunch-competitor-faq
    42. AI research evidence record anthropic:2-7
    43. AI research evidence record anthropic:6-5
    44. AI research evidence record anthropic:3-1
    45. AI research evidence record anthropic:5-8
    46. AI research evidence record anthropic:2-3
    47. AI research evidence record anthropic:9-5
    48. AI research evidence record anthropic:9-7
    49. AI research evidence record openai:scrunch-suggested-competitors
    50. AI research evidence record anthropic:9-3
    51. AI research evidence record anthropic:8-12
    52. AI research evidence record anthropic:9-6
    53. AI research evidence record openai:scrunch-monitoring-guide
    54. AI research evidence record openai:scrunch-insights-guide
    55. AI research evidence record anthropic:9-8
    56. AI research evidence record anthropic:8-2
    57. AI research evidence record anthropic:12-6
    58. AI research evidence record anthropic:14-11
    59. AI research evidence record anthropic:36-5
    60. AI research evidence record openai:scrunch-pricing-faq
    61. AI research evidence record anthropic:15-1
    62. AI research evidence record anthropic:14-11
    63. AI research evidence record perplexity:c7
    64. AI research evidence record perplexity:c1
    65. AI research evidence record perplexity:c2
    66. AI research evidence record grok:web:12
    67. AI research evidence record anthropic:15-15
    68. AI research evidence record openai:scrunch-competitor-faq
    69. AI research evidence record anthropic:3-1
    70. AI research evidence record openai:scrunch-suggested-competitors
    71. AI research evidence record anthropic:9-3
    72. AI research evidence record anthropic:15-14
    73. AI research evidence record anthropic:15-11
    74. AI research evidence record anthropic:9-8
    75. AI research evidence record anthropic:9-6
    76. AI research evidence record anthropic:9-5
    77. AI research evidence record anthropic:9-7
    78. AI research evidence record anthropic:20-1
    79. AI research evidence record openai:scrunch-competitor-faq
    80. AI research evidence record anthropic:14-11
    81. AI research evidence record anthropic:16-7
    82. AI research evidence record anthropic:23-9
    83. AI research evidence record anthropic:12-6
    84. AI research evidence record openai:scrunch-citation-dynamics
    85. AI research evidence record anthropic:1-1
    86. AI research evidence record openai:scrunch-competitor-faq
    87. AI research evidence record openai:scrunch-citation-dynamics
    88. AI research evidence record anthropic:16-7
    89. AI research evidence record anthropic:14-11
    90. AI research evidence record anthropic:1-1
    91. AI research evidence record anthropic:9-8
    92. AI research evidence record kimi:cited-1
    93. AI research evidence record kimi:citingly-1
    94. AI research evidence record kimi:citemetrix-1
    95. AI research evidence record kimi:web-cited-1
    96. AI research evidence record openai:scrunch-competitor-faq
    97. AI research evidence record openai:scrunch-suggested-competitors
    98. AI research evidence record anthropic:15-15
    99. AI research evidence record anthropic:17-4
    100. AI research evidence record openai:scrunch-pricing-faq
    101. AI research evidence record anthropic:17-10
    102. AI research evidence record openai:scrunch-citation-dynamics
    103. AI research evidence record anthropic:15-1
    104. AI research evidence record anthropic:9-8
    105. AI research evidence record anthropic:28-1
    106. AI research evidence record anthropic:37-7
    107. AI research evidence record anthropic:1-1
    108. AI research evidence record openai:scrunch-competitor-faq
    109. AI research evidence record anthropic:2-7
    110. AI research evidence record anthropic:3-1
    111. AI research evidence record anthropic:9-7
    112. AI research evidence record anthropic:9-3
    113. AI research evidence record anthropic:9-6
    114. AI research evidence record anthropic:12-6
    115. AI research evidence record anthropic:16-7
    116. AI research evidence record perplexity:c7
    117. AI research evidence record anthropic:28-1
    118. AI research evidence record kimi:scrunch-1
    119. AI research evidence record openai:scrunch-citation-dynamics
    120. AI research evidence record anthropic:28-1
    121. AI research evidence record anthropic:37-7
    122. AI research evidence record anthropic:37-8

Independent Sources

  • Scrunch AI pricing review — Cited·Index: https://citedindex.com/scrunch-ai
  • Scrunch AI Review 2026: Pricing, Features & Honest Verdict | CrawlRaven: https://crawlraven.com/blog/scrunch-ai-review
  • My Scrunch AI Visibility Review (SaaS and B2B Tech Focus: https://generatemore.ai/blog/my-scrunch-ai-visibility-review-saas-and-b2b-tech-focus
  • Scrunch AI Review 2026: Pricing & Crawler Analytics - Geoptie: https://geoptie.com/blog/scrunch-ai-review
  • Understanding Scrunch AI Pricing: A Complete Overview: https://indexly.ai/blog/scrunch-ai-pricing/
  • Scrunch AI Review: Is it Worth the Investment? - Radarkit: https://radarkit.ai/blog/scrunch-ai-review/
  • Sitecore Acquires Scrunch for $225 Million to Boost AI Search Experience - Bloomberg: https://www.bloomberg.com/news/articles/2026-06-03/sitecore-said-to-acquire-scrunch-for-225-million
  • Sitecore Acquires Scrunch: What It Means for Customers | DCX Transform: https://www.dcxtransform.ae/insights/sitecore-scrunch-acquisition-what-it-means
  • Scrunch AI review for agencies (2026): is it worth it for client AI visibility? | Rankability Blog: https://www.rankability.com/blog/scrunch-ai-review/
  • Scrunch AI Review: Is This GEO Tool Worth $250/Month?: https://www.scalenut.com/blogs/scrunch-ai-review
  • Scrunch AI Review 2026: What $300/mo Gets You (and 3 Gaps That: https://www.tryanalyze.ai/blog/scrunch-ai-review
  • Scrunch AI Review: Can it compete with serious AI visibility tools?: https://www.tryprofound.com/blog/scrunch-ai-review
  • AI Search Monitoring Tools 2026: The Best Platforms to Track Mentions, Citations, and Visibility: https://www.useomnia.com/blog/ai-search-monitoring-tools
  • Additional AI research evidence122 records
    1. AI research evidence record openai:scrunch-competitor-faq
    2. AI research evidence record anthropic:2-7
    3. AI research evidence record anthropic:12-6
    4. AI research evidence record anthropic:16-7
    5. AI research evidence record perplexity:c7
    6. AI research evidence record deepseek:scrunch-home
    7. AI research evidence record openai:scrunch-competitor-faq
    8. AI research evidence record anthropic:2-3
    9. AI research evidence record openai:scrunch-suggested-competitors
    10. AI research evidence record kimi:scrunch-1
    11. AI research evidence record openai:scrunch-pricing-faq
    12. AI research evidence record anthropic:15-15
    13. AI research evidence record perplexity:c1
    14. AI research evidence record anthropic:17-4
    15. AI research evidence record perplexity:c2
    16. AI research evidence record openai:scrunch-competitor-faq
    17. AI research evidence record anthropic:2-7
    18. AI research evidence record anthropic:6-5
    19. AI research evidence record anthropic:3-1
    20. AI research evidence record anthropic:9-7
    21. AI research evidence record openai:scrunch-suggested-competitors
    22. AI research evidence record anthropic:8-12
    23. AI research evidence record anthropic:9-6
    24. AI research evidence record openai:scrunch-monitoring-guide
    25. AI research evidence record openai:scrunch-pricing-faq
    26. AI research evidence record anthropic:17-10
    27. AI research evidence record anthropic:22-1
    28. AI research evidence record anthropic:23-9
    29. AI research evidence record kimi:scrunch-1
    30. AI research evidence record anthropic:16-7
    31. AI research evidence record anthropic:23-9
    32. AI research evidence record anthropic:12-6
    33. AI research evidence record anthropic:12-5
    34. AI research evidence record anthropic:12-11
    35. AI research evidence record anthropic:14-11
    36. AI research evidence record openai:scrunch-citation-dynamics
    37. AI research evidence record anthropic:28-1
    38. AI research evidence record anthropic:28-3
    39. AI research evidence record anthropic:37-7
    40. AI research evidence record anthropic:37-8
    41. AI research evidence record openai:scrunch-competitor-faq
    42. AI research evidence record anthropic:2-7
    43. AI research evidence record anthropic:6-5
    44. AI research evidence record anthropic:3-1
    45. AI research evidence record anthropic:5-8
    46. AI research evidence record anthropic:2-3
    47. AI research evidence record anthropic:9-5
    48. AI research evidence record anthropic:9-7
    49. AI research evidence record openai:scrunch-suggested-competitors
    50. AI research evidence record anthropic:9-3
    51. AI research evidence record anthropic:8-12
    52. AI research evidence record anthropic:9-6
    53. AI research evidence record openai:scrunch-monitoring-guide
    54. AI research evidence record openai:scrunch-insights-guide
    55. AI research evidence record anthropic:9-8
    56. AI research evidence record anthropic:8-2
    57. AI research evidence record anthropic:12-6
    58. AI research evidence record anthropic:14-11
    59. AI research evidence record anthropic:36-5
    60. AI research evidence record openai:scrunch-pricing-faq
    61. AI research evidence record anthropic:15-1
    62. AI research evidence record anthropic:14-11
    63. AI research evidence record perplexity:c7
    64. AI research evidence record perplexity:c1
    65. AI research evidence record perplexity:c2
    66. AI research evidence record grok:web:12
    67. AI research evidence record anthropic:15-15
    68. AI research evidence record openai:scrunch-competitor-faq
    69. AI research evidence record anthropic:3-1
    70. AI research evidence record openai:scrunch-suggested-competitors
    71. AI research evidence record anthropic:9-3
    72. AI research evidence record anthropic:15-14
    73. AI research evidence record anthropic:15-11
    74. AI research evidence record anthropic:9-8
    75. AI research evidence record anthropic:9-6
    76. AI research evidence record anthropic:9-5
    77. AI research evidence record anthropic:9-7
    78. AI research evidence record anthropic:20-1
    79. AI research evidence record openai:scrunch-competitor-faq
    80. AI research evidence record anthropic:14-11
    81. AI research evidence record anthropic:16-7
    82. AI research evidence record anthropic:23-9
    83. AI research evidence record anthropic:12-6
    84. AI research evidence record openai:scrunch-citation-dynamics
    85. AI research evidence record anthropic:1-1
    86. AI research evidence record openai:scrunch-competitor-faq
    87. AI research evidence record openai:scrunch-citation-dynamics
    88. AI research evidence record anthropic:16-7
    89. AI research evidence record anthropic:14-11
    90. AI research evidence record anthropic:1-1
    91. AI research evidence record anthropic:9-8
    92. AI research evidence record kimi:cited-1
    93. AI research evidence record kimi:citingly-1
    94. AI research evidence record kimi:citemetrix-1
    95. AI research evidence record kimi:web-cited-1
    96. AI research evidence record openai:scrunch-competitor-faq
    97. AI research evidence record openai:scrunch-suggested-competitors
    98. AI research evidence record anthropic:15-15
    99. AI research evidence record anthropic:17-4
    100. AI research evidence record openai:scrunch-pricing-faq
    101. AI research evidence record anthropic:17-10
    102. AI research evidence record openai:scrunch-citation-dynamics
    103. AI research evidence record anthropic:15-1
    104. AI research evidence record anthropic:9-8
    105. AI research evidence record anthropic:28-1
    106. AI research evidence record anthropic:37-7
    107. AI research evidence record anthropic:1-1
    108. AI research evidence record openai:scrunch-competitor-faq
    109. AI research evidence record anthropic:2-7
    110. AI research evidence record anthropic:3-1
    111. AI research evidence record anthropic:9-7
    112. AI research evidence record anthropic:9-3
    113. AI research evidence record anthropic:9-6
    114. AI research evidence record anthropic:12-6
    115. AI research evidence record anthropic:16-7
    116. AI research evidence record perplexity:c7
    117. AI research evidence record anthropic:28-1
    118. AI research evidence record kimi:scrunch-1
    119. AI research evidence record openai:scrunch-citation-dynamics
    120. AI research evidence record anthropic:28-1
    121. AI research evidence record anthropic:37-7
    122. AI research evidence record anthropic:37-8

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
September 18, 2026
Platforms analyzed
6
Source records
34
Ranking mentions
2 of 6
Platform share
33%
Final consensus rank
#5

Research trail and source mix

Configured platforms

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

Source mix

16 independent · 18 company-owned

Evidence support

28 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 5bb98dc8498ea68f77a9307028708a9d6c6220ce7950f8225807613d76ef6c0e