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AI Consensus Fit Review

Scrunch AI AI Visibility Platform Fit Review for Competitor Citation Analysis

Scrunch AI is a good-to-strong fit for competitor citation analysis, but with real caveats.

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

Answer Capsule

Scrunch AI is a good-to-strong fit for competitor citation analysis, but with real caveats. Three of seven platforms named it during ranking discovery (anthropic, openai, perplexity), at an average listed rank of 4.33 and a best rank of 2. The strongest reason to consider it is direct domain- and URL-level citation visibility, segmented by citation owner (brand, competitor, third-party, social), with an Influence Score and competitor gap detection [1]. The main limitation is unresolved pricing and plan structure: public Scrunch pages conflict on tier names and amounts, Enterprise pricing is undisclosed, and the ranking-stage "$500 Growth Plan" reference could not be verified [4].

Research Snapshot

FieldValue
Platform mentions in ranking stage3 of 7 platforms (anthropic, openai, perplexity)
Share of included platform responses42.9%
Average listed rank4.33
Best listed rank2 (openai)
Relevant product/model/planScrunch Monitoring & Citations / Monitoring & Insights; Core or Enterprise access
Overall use-case fitStrong (openai, google, grok); Good (anthropic, perplexity); Uncertain (deepseek, kimi)
Research date2026-09-19

Why Scrunch AI Qualified for This Study

Questions This Section Answers

  • Is Scrunch AI a good choice for AI Visibility Platforms for Competitor Citation Analysis?
  • How many AI platforms named Scrunch AI during ranking discovery for competitor citation analysis?

Scrunch AI qualified because three of the seven included platforms named it during ranking discovery, and those mentions clustered around the exact capability this use case requires: identifying which domains and pages are cited for each brand. OpenAI ranked it second, the strongest placement in the set. Anthropic ranked it fifth and Perplexity sixth.

The qualification threshold was two or more platform mentions, so Scrunch cleared it with one mention to spare. Its final rank in the study was sixth. That gap between a best rank of 2 and a final rank of 6 reflects the split in platform confidence: three platforms rated it strong or good, two rated it uncertain, and two did not name it at all during ranking discovery.

Two of the seven platforms — deepseek and kimi — returned uncertain fit ratings, and both flagged the same root problem: official-site retrieval failed during their runs, so they could not confirm citation-level competitor mapping, US availability, or pricing [7]. Kimi went further and suggested the entity might be an influencer marketing platform rather than an AI visibility tool, a claim that conflicts with the five platforms that retrieved Scrunch's own product documentation. That conflict is unresolved in the supplied evidence and is treated as a limitation below.

The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for Competitor Citation Analysis

Questions This Section Answers

  • Which Scrunch AI plan is most relevant for a company comparing its citation footprint against competitors?
  • Does Scrunch AI's Core plan include enough competitor and prompt capacity for serious citation analysis?

The most relevant offering is Scrunch's Monitoring & Citations module, delivered through Core or Enterprise access [9]. Enterprise is the more relevant tier for large-scale, multi-brand competitor citation analysis, because Core caps the buyer at five competitors, 125 unique prompts, one workspace, and four listed AI platforms [10].

The product's core function for this use case is the Citations dashboard, which is designed to show the domains and webpage URLs cited in tracked AI responses, including top cited domains, citation owners, total citations, unique prompt counts, citation consistency, and an Influence Score [9]. Scrunch distinguishes brand, competitor, third-party, and social citations and supports filtering by citation owner, platform, topic, timeframe, persona, funnel stage, country, and prompt tags [13].

Platforms described the plan landscape differently. OpenAI and Grok both reference Core and Enterprise, with Grok also citing Agency Core at $500 per month [10]. Perplexity found a public conflict: one Scrunch FAQ lists Explorer at $83/month billed annually, Growth at $417/month billed annually, and Enterprise custom, while another FAQ lists Brands Core at $250/month and Agencies Core at $500/month [16]. Anthropic's run referenced a Growth plan at $417/month annual and $500/month month-to-month [18]. The ranking-stage metadata referenced a "$500/month Growth Plan" that OpenAI explicitly could not verify against current official pricing pages [10].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do multiple AI platforms agree Scrunch AI does well for competitor citation analysis?
  • Is Scrunch AI's domain- and URL-level citation tracking confirmed by more than one platform?

The strongest area of agreement is citation-source depth. Five platforms — openai, anthropic, grok, perplexity, and google — independently described Scrunch as reporting cited domains and individual cited URLs, not just brand mentions [19]. This is the single most repeated finding in the supplied evidence and the clearest match to the use case.

A second area of agreement is citation-owner segmentation. Scrunch separates citations into brand, competitor, third-party, and social categories, which is what makes competitor citation architecture comparable to a buyer's own [24]. Multiple platforms also described an Influence Score calculated from citation frequency multiplied by unique prompt reach [25].

A third area is competitor discovery and gap detection. Scrunch's Suggested Competitors feature automatically identifies competitive brands from response data and supports historical backfill, and its Content Gaps feature flags prompts where competitors are cited but the buyer is not [28].

Platforms also agreed on engine coverage structure: Core covers four platforms (ChatGPT, Perplexity, Google AI Overviews, Copilot), while Enterprise expands to nine, adding Claude, Gemini, Meta AI, Google AI Mode, and Grok [31]. One Scrunch page states Grok support is "coming," which conflicts with pages that list Grok as current Enterprise coverage [35].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Scrunch AI's fit as uncertain for competitor citation analysis?
  • Is Scrunch AI's pricing and plan structure reliable enough to budget against?

Pricing is the sharpest disagreement. OpenAI's run found Core at $250/month and Enterprise custom, with Agency Core at $500/month in the FAQ, and could not verify the ranking-stage $500 Growth Plan [36]. Anthropic reported Core at $250/month annual or $300/month month-to-month, Growth at $417/month annual, and a separate $500/month agency configuration [38]. Perplexity found Explorer at $83/month and Growth at $417/month in one FAQ, against Brands Core at $250/month and Agencies Core at $500/month in another [39]. Google reported Core at $250/month annual or $300/month monthly, and Growth at $417/month annual or $500/month monthly [41]. These are not reconcilable from the supplied evidence, and buyers should treat any single figure as unconfirmed.

Data freshness is a second disagreement. Anthropic's sources reported a three-day update cycle, with some reviews citing weekly updates [42]. Google reported weekly rather than daily updates on standard tracking metrics [41]. No supplied source confirms a daily or real-time cadence.

Actionability is a third. Anthropic's independent sources reported that Insights and Site Audits were marked beta, that recommendations surface but do not translate into specific content or technical actions, and that one reviewer saw most optimization opportunity categories never populate [44]. Google, by contrast, described a Content Gaps module that generates content briefs directly from analysis [46]. Both can be true if the feature matured between review dates, but the supplied evidence does not establish that.

Two platforms, deepseek and kimi, could not verify the entity at all. Deepseek's official-site retrieval failed and it rated fit uncertain [47]. Kimi concluded Scrunch is likely an influencer marketing platform and rated fit uncertain, citing no independent source connecting Scrunch to AI visibility [48]. This directly conflicts with five platforms that retrieved Scrunch's own AI-search product pages. The most likely explanation is retrieval failure rather than a genuine category mismatch, but the supplied evidence does not resolve it, and buyers should confirm the product directly.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Which Scrunch AI features directly support comparing competitor citation architecture against your own?
  • Can Scrunch AI show which specific competitor pages are cited in AI answers?

For this use case, the relevant capabilities are citation capture, owner segmentation, influence scoring, competitor comparison, and gap detection.

Citation capture is the foundation. Scrunch's Citations dashboard reports cited domains and webpage URLs, top cited domains, citation owners, total citations, unique prompt counts, and citation consistency [49]. Google's sources describe a Citations tab that visualizes citations by owner (self, third-party, competitors), lists top domains cited, and compiles an all-citations table breaking down where competitor domains or specific URLs earn references [51].

Owner segmentation is what makes competitor architecture comparable. Scrunch separates brand, competitor, third-party, and social citations, and supports filtering by citation owner, platform, topic, timeframe, persona, funnel stage, country, and prompt tags [52]. Grok's sources describe the same filtering set plus competitor and funnel-stage filters [54].

Influence scoring is Scrunch's proprietary metric. It multiplies the percentage of responses citing a source by the unique number of prompts, producing a ranked view of which third-party pages most shape AI answers [55]. OpenAI and Perplexity both flagged that this is a platform-defined descriptive metric and should not be treated as causal proof that a source caused a recommendation [57].

Competitor comparison and gap detection round out the set. Scrunch reports competitor comparison across tracked AI platforms and metrics including mentions, citations, position, and sentiment, with drill-down into individual prompts [59]. Content Gaps auto-detects missing content for tracked prompts where competitors are cited but the buyer is not [60]. Suggested Competitors identifies competitive brands from response data and supports historical backfill [62].

Two capability gaps matter for this use case. First, citations are not broken down by content type — blogs, news sites, directories, and academic sources are not separated, which limits how actionable the citation data is without manual interpretation [63]. Second, Scrunch does not provide search-volume data for tracked prompts, so buyers cannot prioritize citation work by market opportunity size [65].

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 are Scrunch AI's contract, trial, and cancellation terms for a competitor citation analysis deployment?

Pricing is the least reliable part of the supplied evidence. The most consistently reported figure is Core at $250 per month, cited by OpenAI, Grok, and Google [66]. Google and Anthropic both report a $300/month month-to-month rate against the $250/month annual rate [68]. Agency Core at $500/month appears in OpenAI's and Grok's sources [70].

Beyond Core, the numbers diverge. Anthropic reports Growth at $417/month annual and $500/month month-to-month [69]. Perplexity found one FAQ listing Explorer at $83/month and Growth at $417/month, against another listing Brands Core at $250/month and Agencies Core at $500/month [71]. Google reports Growth at $417/month annual or $500/month monthly [68]. The ranking-stage "$500/month Growth Plan" could not be verified on current official pricing pages [66]. Enterprise pricing is custom and undisclosed across every source.

Core plan inclusions are more consistent: 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four listed AI platforms [66]. Enterprise unlocks nine platforms, custom prompt volume, API access, SSO, and dedicated support [66].

Contract terms are partially documented. A seven-day Core trial is offered, and Scrunch states that an uncanceled trial automatically upgrades to a paid plan, with data remaining accessible through the current billing cycle after cancellation [74]. Anthropic's sources report annual contracts receiving a discount equivalent to two months free when paid upfront, a month-to-month option at a 17% premium, and a seven-day trial without a credit card [69]. Annual pricing, renewal mechanics, notice periods, refunds, overage treatment, and Enterprise termination terms were not publicly confirmed in any supplied source.

No separately itemized fees for additional users, prompts, brands, API access, integrations, or expanded coverage were publicly confirmed [66]. Enterprise may introduce negotiated costs for custom usage, workspaces, licenses, support, and integrations.

Best Suited For

Questions This Section Answers

  • Which type of buyer gets the most value from Scrunch AI for competitor citation analysis?
  • Is Scrunch AI worth it for enterprise teams that need multi-brand and multi-region citation tracking?

Scrunch is best suited to companies comparing their brand against named and automatically suggested competitors across AI answer platforms, and to teams that need cited domains, individual cited pages, citation ownership, citation consistency, and source influence metrics [75].

The strongest fit is enterprise marketing, SEO, content, and communications teams that require custom prompts, multiple brands or regions, API access, and dedicated support [77]. Enterprise is likely required for broad model coverage, large prompt sets, multi-brand deployments, API access, and advanced governance [77].

Agencies monitoring client visibility with competitive benchmarking requirements are also a fit, particularly where SOC 2 Type II compliance is a procurement requirement [79]. One independent source describes Scrunch as the only citation tracking tool in its comparison with SOC 2 Type II compliance, though that is a single-source claim and not independently corroborated in the supplied evidence.

Teams that already have in-house SEO or content expertise to interpret citation data and act on it are better positioned than teams expecting the platform to prescribe finished actions [80].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Scrunch AI for competitor citation analysis?
  • Is Scrunch AI a poor fit for small teams or buyers needing real-time citation updates?

Scrunch is probably not the best fit for buyers seeking independently audited evidence of AI-model influence rather than platform-reported monitoring metrics [82]. The Influence Score is proprietary and descriptive, and no independent technical audit of citation capture, source classification, or Influence Score methodology was identified in the supplied sources [82].

Small teams needing more than Core's five competitors, 125 unique prompts, or four listed AI platforms without purchasing a custom Enterprise plan are also poorly served [83]. Buyers whose primary need is traditional search rankings, backlinks, or general web analytics rather than generative-answer visibility should look elsewhere; Scrunch positions itself around prompts, AI responses, citations, AI bot traffic, and AI referrals rather than keyword rankings and backlink analysis [85].

Buyers requiring real-time or daily citation updates should also weigh alternatives. Reported refresh cycles are three days in some sources and weekly in others, with no confirmed daily cadence [86].

Teams needing content-type-level citation breakdown — blogs versus news versus directories — will not get it without manual interpretation [89]. Buyers who need the platform itself to generate content briefs or execute optimization steps should note that independent sources describe Insights and Site Audits as beta with limited prescriptive guidance [91].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Scrunch AI for a buyer who needs sub-$100 per month citation tracking?
  • When should a buyer choose a broader SEO suite instead of Scrunch AI for AI visibility?

Choose another platform when independent third-party validation of citation accuracy or benchmark methodology is a procurement requirement [93]. Choose a broader SEO or digital-intelligence suite when the buyer needs traditional rankings, backlink intelligence, web-wide competitive research, and AI visibility in one established workflow [93]. Choose a lower-cost self-service tool when the buyer needs only lightweight monitoring and does not require page-level citation ownership, influence metrics, API access, or multi-brand coverage [93].

Anthropic's sources name specific alternatives for specific gaps: Profound, Rankscale, or Simaia for content action layers; Otterly.AI at $79/month and Peec AI at $95/month for sub-$100 basic citation tracking; Semrush, Ahrefs, or SE Ranking for AI visibility as an add-on to established SEO platforms [94]. Google's sources suggest LLM Pulse or RadarKit when Gemini and Claude tracking is required out-of-the-box on a lower budget [95].

Kimi's sources recommend purpose-built alternatives including Viali, Visiby, Cited, GetCited, and CitationRadar, citing per-query gap analysis, source URL classification, and statistically validated citation rates with confidence intervals [96]. These are company-owned sources for those vendors, so the capability claims are vendor-reported rather than independently verified.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Scrunch AI before signing a contract for competitor citation analysis?
  • Which Scrunch AI plan details must be verified in writing before purchase?

Confirm which plan name and price actually applies. The supplied evidence contains at least four conflicting plan structures: Core at $250/month, Agency Core at $500/month, Growth at $417/month annual or $500/month monthly, and Explorer at $83/month [101]. Ask whether the $500 monthly option is Agency Core, a legacy Growth Plan, or a custom commercial package [101].

Confirm exact monthly limits for prompts, responses, citations, competitors, users, countries, languages, and historical retention [101]. Confirm which AI platforms and regional variants are actually queried for a United States deployment, and how frequently results refresh [101]. Confirm whether Grok is currently included or still pending, since Scrunch pages conflict on this [108].

Confirm export capability: whether every cited URL, full response, prompt variant, timestamp, model, citation owner, and competitor association can be exported through API or bulk export [101]. Confirm how duplicate URLs, redirects, syndicated pages, citations without accessible page content, and JavaScript-rendered pages are handled [109]. Confirm whether Influence Score is documented sufficiently for reproducible comparison across brands, models, countries, and time periods [110].

Confirm commercial terms: annual commitment, renewal, cancellation, refund, overage, onboarding, support, and implementation terms [101]. Confirm whether competitor suggestions, historical backfills, multi-domain monitoring, SSO, API access, and dedicated support are included or separately priced [101]. Confirm whether Insights and Site Audits are production-ready or still in beta [103].

Final AI Consensus Verdict

Scrunch AI is a strong fit for competitor citation analysis when the buyer values direct page- and domain-level citation visibility, competitive source segmentation, prompt-level drill-downs, and enterprise-scale monitoring [111]. Five of seven platforms independently described domain- and URL-level citation reporting, which is the core requirement of this use case.

The verdict is not unanimous. Two platforms rated fit uncertain because official-site retrieval failed during their runs, and one of those concluded the entity might be a different product entirely [114]. That conclusion conflicts with five platforms that retrieved Scrunch's own AI-search documentation and should be treated as a retrieval artifact pending direct confirmation.

Start with Core for a limited benchmark; select Enterprise for broad model coverage, custom prompt volume, multi-brand analysis, API access, and governance [116]. Treat pricing beyond Core and the claimed $500 Growth Plan as unresolved until confirmed in writing [116]. Buyers who need independently audited measurement methodology, sub-$100 entry pricing, or real-time refresh should evaluate alternatives first [111].

For the broader field, see the AI Visibility Platforms for Competitor Citation Analysis consensus index.

Buyers comparing this tool against the wider market can also review the ai visibility llm monitoring category directory.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms, each asked to recommend and evaluate AI visibility platforms for competitor citation analysis. Three of the seven named Scrunch AI during ranking discovery: anthropic, openai, and perplexity. The remaining four platforms — deepseek, google, grok, and kimi — evaluated Scrunch only after it was included in the study set.

Each platform returned a structured assessment covering fit rating, strengths, limitations, pricing and terms, use-case findings, and questions to verify before buying. Those responses were aggregated without resolving conflicts between them. Where platforms disagreed on pricing, plan names, update frequency, or feature maturity, the disagreement is preserved in this article rather than averaged away.

All factual claims are cited to the platform that supplied them. Company-owned sources — Scrunch's own product, pricing, and FAQ pages — materially outnumber independent sources in the supplied evidence, and company claims are labeled as such throughout. No personal testing, customer interviews, or independent verification was performed.

Methodology Limitations

Several limitations constrain the confidence of this review.

Company-owned citations materially outnumber independent citations in the supplied evidence. Scrunch's own pages account for the majority of cited sources, so most capability claims are company-reported rather than independently verified. Independent reviews exist but are fewer and, in several cases, marked as inferred support strength rather than direct.

Platform-reported research dates differ from the authoritative run date of 2026-09-19. Deepseek's response carries a research date of 2026-06-04, roughly three months earlier. Platform-reported dates are provenance metadata and do not independently prove freshness.

Official-site retrieval failed for at least one platform. Deepseek and kimi both reported failed retrieval of scrunch.com, and kimi concluded the entity might be an influencer marketing platform. That conclusion conflicts with five platforms that retrieved Scrunch's AI-search product documentation. The supplied evidence does not resolve which is correct, and buyers should confirm the product directly.

Pricing conflicts are unresolved. At least four different plan structures appear across supplied sources, and Enterprise pricing is undisclosed everywhere. No supplied source confirms annual commitment terms, renewal mechanics, refunds, or overage treatment.

The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts.

One platform's sources describe Scrunch as the only citation tracking tool with SOC 2 Type II compliance [120]. That is a single-source claim from an independent review and is not corroborated elsewhere in the supplied evidence.

Sources

Company-Owned Sources

  • AI Visibility Tracker | Monitor Your Brand Across 10 AI Engines | GetCited: https://getcited.marketing/products/ai-visibility-tracker
  • Scrunch - Blog: Your AI search citation questions, answered: https://scrunch.com/blog/ai-search-citation-questions-answered
  • New in Scrunch: Find and fix your AI blind spots with Content Gaps: https://scrunch.com/blog/new-in-scrunch-find-and-fix-your-ai-blind-spots-with-content-gaps
  • AI search optimization for the enterprise: https://scrunch.com/enterprise/
  • 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
  • Can Scrunch show what sources are being cited by AI models in their responses?: https://scrunch.com/faqs/can-scrunch-show-what-sources-are-being-cited-by-ai-models-in-their-responses
  • How does Scrunch track competitor performance in AI search?: https://scrunch.com/faqs/how-does-scrunch-track-competitor-performance-in-ai-search
  • 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
  • What products does Scrunch offer for AI search optimization: https://scrunch.com/faqs/what-products-does-scrunch-offer-for-ai-search-optimization
  • Scrunch | Scrunch AI: https://scrunch.com/get-started/
  • Scrunch - Monitoring for AI Search: https://scrunchai.com/platform/monitoring/
  • Platform: Discover, Improve, Measure AI Visibility | Viali: https://viali.ai/product/
  • Competitor Intelligence — Why Rivals Get Cited | Viali: https://viali.ai/product/competitive-intelligence/
  • AI Visibility Platform for ChatGPT, Perplexity & AI Overviews | Visiby: https://visiby.net/ai-visibility-platform
  • Cited | AI Search Optimization Platform: https://www.getcited.in/
  • Official pricing and terms source: https://scrunch.com/terms/
  • Additional AI research evidence120 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c9
    3. AI research evidence record grok:web:2
    4. AI research evidence record perplexity:c7
    5. AI research evidence record perplexity:c14
    6. AI research evidence record openai:c2
    7. AI research evidence record deepseek:c1
    8. AI research evidence record kimi:scrunch_official_unclear
    9. AI research evidence record openai:c1
    10. AI research evidence record openai:c2
    11. AI research evidence record google:1.3.7
    12. AI research evidence record openai:c8
    13. AI research evidence record openai:c9
    14. AI research evidence record anthropic:citation-18
    15. AI research evidence record grok:web:12
    16. AI research evidence record perplexity:c7
    17. AI research evidence record perplexity:c14
    18. AI research evidence record anthropic:citation-13
    19. AI research evidence record openai:c1
    20. AI research evidence record anthropic:citation-3
    21. AI research evidence record grok:web:2
    22. AI research evidence record perplexity:c2
    23. AI research evidence record google:1.3.5
    24. AI research evidence record openai:c9
    25. AI research evidence record anthropic:citation-4
    26. AI research evidence record perplexity:c1
    27. AI research evidence record google:1.3.3
    28. AI research evidence record anthropic:citation-10
    29. AI research evidence record anthropic:citation-9
    30. AI research evidence record google:1.2.8
    31. AI research evidence record openai:c2
    32. AI research evidence record anthropic:citation-7
    33. AI research evidence record anthropic:citation-8
    34. AI research evidence record grok:web:12
    35. AI research evidence record perplexity:c5
    36. AI research evidence record openai:c2
    37. AI research evidence record openai:c3
    38. AI research evidence record anthropic:citation-13
    39. AI research evidence record perplexity:c7
    40. AI research evidence record perplexity:c14
    41. AI research evidence record google:1.1.8
    42. AI research evidence record anthropic:citation-16
    43. AI research evidence record anthropic:citation-17
    44. AI research evidence record anthropic:citation-11
    45. AI research evidence record anthropic:citation-12
    46. AI research evidence record google:1.2.8
    47. AI research evidence record deepseek:c1
    48. AI research evidence record kimi:scrunch_official_unclear
    49. AI research evidence record openai:c1
    50. AI research evidence record openai:c8
    51. AI research evidence record google:1.3.5
    52. AI research evidence record openai:c9
    53. AI research evidence record anthropic:citation-18
    54. AI research evidence record grok:web:2
    55. AI research evidence record anthropic:citation-4
    56. AI research evidence record google:1.3.3
    57. AI research evidence record openai:c6
    58. AI research evidence record perplexity:c1
    59. AI research evidence record openai:c5
    60. AI research evidence record anthropic:citation-9
    61. AI research evidence record google:1.2.8
    62. AI research evidence record anthropic:citation-10
    63. AI research evidence record anthropic:citation-14
    64. AI research evidence record anthropic:citation-15
    65. AI research evidence record anthropic:citation-23
    66. AI research evidence record openai:c2
    67. AI research evidence record grok:web:12
    68. AI research evidence record google:1.1.8
    69. AI research evidence record anthropic:citation-13
    70. AI research evidence record openai:c3
    71. AI research evidence record perplexity:c7
    72. AI research evidence record perplexity:c14
    73. AI research evidence record google:1.3.7
    74. AI research evidence record openai:c11
    75. AI research evidence record openai:c6
    76. AI research evidence record openai:c1
    77. AI research evidence record openai:c2
    78. AI research evidence record grok:web:12
    79. AI research evidence record anthropic:citation-20
    80. AI research evidence record anthropic:citation-11
    81. AI research evidence record anthropic:citation-13
    82. AI research evidence record openai:c6
    83. AI research evidence record openai:c2
    84. AI research evidence record google:1.3.7
    85. AI research evidence record openai:c10
    86. AI research evidence record anthropic:citation-16
    87. AI research evidence record anthropic:citation-17
    88. AI research evidence record google:1.1.8
    89. AI research evidence record anthropic:citation-14
    90. AI research evidence record anthropic:citation-15
    91. AI research evidence record anthropic:citation-11
    92. AI research evidence record anthropic:citation-13
    93. AI research evidence record openai:c6
    94. AI research evidence record anthropic:citation-13
    95. AI research evidence record google:1.1.8
    96. AI research evidence record kimi:viali_platform
    97. AI research evidence record kimi:viali_comp_intel
    98. AI research evidence record kimi:visiby_platform
    99. AI research evidence record kimi:getcited_tracker
    100. AI research evidence record kimi:cited_platform
    101. AI research evidence record openai:c2
    102. AI research evidence record openai:c3
    103. AI research evidence record anthropic:citation-13
    104. AI research evidence record perplexity:c7
    105. AI research evidence record perplexity:c14
    106. AI research evidence record google:1.1.8
    107. AI research evidence record anthropic:citation-16
    108. AI research evidence record perplexity:c5
    109. AI research evidence record openai:c8
    110. AI research evidence record openai:c6
    111. AI research evidence record openai:c6
    112. AI research evidence record grok:web:2
    113. AI research evidence record google:1.3.5
    114. AI research evidence record deepseek:c1
    115. AI research evidence record kimi:scrunch_official_unclear
    116. AI research evidence record openai:c2
    117. AI research evidence record perplexity:c7
    118. AI research evidence record perplexity:c14
    119. AI research evidence record anthropic:citation-13
    120. AI research evidence record anthropic:citation-20

Independent Sources

  • Scrunch AI alternatives compared: Features, pricing, and fit 2026 - HubSpot Blog: https://blog.hubspot.com/marketing/scrunch-ai-alternatives
  • Cairrot - Scrunch AI Review: Pricing, Features, and Top Alternatives: https://cairrot.com/alternatives/scrunch-ai-review-pricing-comparison/
  • CrawlRaven - Scrunch AI Review 2026: https://crawlraven.com/blog/scrunch-ai-review
  • Dageno AI - Scrunch AI Review 2026: https://dageno.ai/blog/scrunch-ai-review
  • Geotoolbox AI - Scrunch AI Review (2026: https://geotoolbox.ai/blog/scrunch-ai-review
  • Scrunch AI Review: Features, Pricing & Honest Verdict: https://geotoolbox.ai/blog/scrunch-ai-review/opengraph-image/og
  • Guest Post UK - Scrunch AI Review: https://guestpost.uk/scrunch-ai-review/
  • AI Peekaboo - Scrunch AI Review (2026: https://www.aipeekaboo.com/blog/scrunch-ai-review
  • Scrunch Is the AI Citation Tool Your PR, Content, and GEO Strategy Has Been Missing: https://www.firebrand.marketing/2026/04/scrunch-is-the-ai-citation-tool-your-pr-content-geo-strategy-needs/
  • The Rank Masters - Best AI Citation Tracking Tools for AI Visibility (2026: https://www.therankmasters.com/insights/ai-visibility/best-ai-visibility-tools-citation-tracking
  • Additional AI research evidence120 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c9
    3. AI research evidence record grok:web:2
    4. AI research evidence record perplexity:c7
    5. AI research evidence record perplexity:c14
    6. AI research evidence record openai:c2
    7. AI research evidence record deepseek:c1
    8. AI research evidence record kimi:scrunch_official_unclear
    9. AI research evidence record openai:c1
    10. AI research evidence record openai:c2
    11. AI research evidence record google:1.3.7
    12. AI research evidence record openai:c8
    13. AI research evidence record openai:c9
    14. AI research evidence record anthropic:citation-18
    15. AI research evidence record grok:web:12
    16. AI research evidence record perplexity:c7
    17. AI research evidence record perplexity:c14
    18. AI research evidence record anthropic:citation-13
    19. AI research evidence record openai:c1
    20. AI research evidence record anthropic:citation-3
    21. AI research evidence record grok:web:2
    22. AI research evidence record perplexity:c2
    23. AI research evidence record google:1.3.5
    24. AI research evidence record openai:c9
    25. AI research evidence record anthropic:citation-4
    26. AI research evidence record perplexity:c1
    27. AI research evidence record google:1.3.3
    28. AI research evidence record anthropic:citation-10
    29. AI research evidence record anthropic:citation-9
    30. AI research evidence record google:1.2.8
    31. AI research evidence record openai:c2
    32. AI research evidence record anthropic:citation-7
    33. AI research evidence record anthropic:citation-8
    34. AI research evidence record grok:web:12
    35. AI research evidence record perplexity:c5
    36. AI research evidence record openai:c2
    37. AI research evidence record openai:c3
    38. AI research evidence record anthropic:citation-13
    39. AI research evidence record perplexity:c7
    40. AI research evidence record perplexity:c14
    41. AI research evidence record google:1.1.8
    42. AI research evidence record anthropic:citation-16
    43. AI research evidence record anthropic:citation-17
    44. AI research evidence record anthropic:citation-11
    45. AI research evidence record anthropic:citation-12
    46. AI research evidence record google:1.2.8
    47. AI research evidence record deepseek:c1
    48. AI research evidence record kimi:scrunch_official_unclear
    49. AI research evidence record openai:c1
    50. AI research evidence record openai:c8
    51. AI research evidence record google:1.3.5
    52. AI research evidence record openai:c9
    53. AI research evidence record anthropic:citation-18
    54. AI research evidence record grok:web:2
    55. AI research evidence record anthropic:citation-4
    56. AI research evidence record google:1.3.3
    57. AI research evidence record openai:c6
    58. AI research evidence record perplexity:c1
    59. AI research evidence record openai:c5
    60. AI research evidence record anthropic:citation-9
    61. AI research evidence record google:1.2.8
    62. AI research evidence record anthropic:citation-10
    63. AI research evidence record anthropic:citation-14
    64. AI research evidence record anthropic:citation-15
    65. AI research evidence record anthropic:citation-23
    66. AI research evidence record openai:c2
    67. AI research evidence record grok:web:12
    68. AI research evidence record google:1.1.8
    69. AI research evidence record anthropic:citation-13
    70. AI research evidence record openai:c3
    71. AI research evidence record perplexity:c7
    72. AI research evidence record perplexity:c14
    73. AI research evidence record google:1.3.7
    74. AI research evidence record openai:c11
    75. AI research evidence record openai:c6
    76. AI research evidence record openai:c1
    77. AI research evidence record openai:c2
    78. AI research evidence record grok:web:12
    79. AI research evidence record anthropic:citation-20
    80. AI research evidence record anthropic:citation-11
    81. AI research evidence record anthropic:citation-13
    82. AI research evidence record openai:c6
    83. AI research evidence record openai:c2
    84. AI research evidence record google:1.3.7
    85. AI research evidence record openai:c10
    86. AI research evidence record anthropic:citation-16
    87. AI research evidence record anthropic:citation-17
    88. AI research evidence record google:1.1.8
    89. AI research evidence record anthropic:citation-14
    90. AI research evidence record anthropic:citation-15
    91. AI research evidence record anthropic:citation-11
    92. AI research evidence record anthropic:citation-13
    93. AI research evidence record openai:c6
    94. AI research evidence record anthropic:citation-13
    95. AI research evidence record google:1.1.8
    96. AI research evidence record kimi:viali_platform
    97. AI research evidence record kimi:viali_comp_intel
    98. AI research evidence record kimi:visiby_platform
    99. AI research evidence record kimi:getcited_tracker
    100. AI research evidence record kimi:cited_platform
    101. AI research evidence record openai:c2
    102. AI research evidence record openai:c3
    103. AI research evidence record anthropic:citation-13
    104. AI research evidence record perplexity:c7
    105. AI research evidence record perplexity:c14
    106. AI research evidence record google:1.1.8
    107. AI research evidence record anthropic:citation-16
    108. AI research evidence record perplexity:c5
    109. AI research evidence record openai:c8
    110. AI research evidence record openai:c6
    111. AI research evidence record openai:c6
    112. AI research evidence record grok:web:2
    113. AI research evidence record google:1.3.5
    114. AI research evidence record deepseek:c1
    115. AI research evidence record kimi:scrunch_official_unclear
    116. AI research evidence record openai:c2
    117. AI research evidence record perplexity:c7
    118. AI research evidence record perplexity:c14
    119. AI research evidence record anthropic:citation-13
    120. AI research evidence record anthropic:citation-20

Other Sources

  • Scrunch AI — AI Visibility / GEO platform (third-party coverage: https://scrunch.com/
  • Additional AI research evidence120 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c9
    3. AI research evidence record grok:web:2
    4. AI research evidence record perplexity:c7
    5. AI research evidence record perplexity:c14
    6. AI research evidence record openai:c2
    7. AI research evidence record deepseek:c1
    8. AI research evidence record kimi:scrunch_official_unclear
    9. AI research evidence record openai:c1
    10. AI research evidence record openai:c2
    11. AI research evidence record google:1.3.7
    12. AI research evidence record openai:c8
    13. AI research evidence record openai:c9
    14. AI research evidence record anthropic:citation-18
    15. AI research evidence record grok:web:12
    16. AI research evidence record perplexity:c7
    17. AI research evidence record perplexity:c14
    18. AI research evidence record anthropic:citation-13
    19. AI research evidence record openai:c1
    20. AI research evidence record anthropic:citation-3
    21. AI research evidence record grok:web:2
    22. AI research evidence record perplexity:c2
    23. AI research evidence record google:1.3.5
    24. AI research evidence record openai:c9
    25. AI research evidence record anthropic:citation-4
    26. AI research evidence record perplexity:c1
    27. AI research evidence record google:1.3.3
    28. AI research evidence record anthropic:citation-10
    29. AI research evidence record anthropic:citation-9
    30. AI research evidence record google:1.2.8
    31. AI research evidence record openai:c2
    32. AI research evidence record anthropic:citation-7
    33. AI research evidence record anthropic:citation-8
    34. AI research evidence record grok:web:12
    35. AI research evidence record perplexity:c5
    36. AI research evidence record openai:c2
    37. AI research evidence record openai:c3
    38. AI research evidence record anthropic:citation-13
    39. AI research evidence record perplexity:c7
    40. AI research evidence record perplexity:c14
    41. AI research evidence record google:1.1.8
    42. AI research evidence record anthropic:citation-16
    43. AI research evidence record anthropic:citation-17
    44. AI research evidence record anthropic:citation-11
    45. AI research evidence record anthropic:citation-12
    46. AI research evidence record google:1.2.8
    47. AI research evidence record deepseek:c1
    48. AI research evidence record kimi:scrunch_official_unclear
    49. AI research evidence record openai:c1
    50. AI research evidence record openai:c8
    51. AI research evidence record google:1.3.5
    52. AI research evidence record openai:c9
    53. AI research evidence record anthropic:citation-18
    54. AI research evidence record grok:web:2
    55. AI research evidence record anthropic:citation-4
    56. AI research evidence record google:1.3.3
    57. AI research evidence record openai:c6
    58. AI research evidence record perplexity:c1
    59. AI research evidence record openai:c5
    60. AI research evidence record anthropic:citation-9
    61. AI research evidence record google:1.2.8
    62. AI research evidence record anthropic:citation-10
    63. AI research evidence record anthropic:citation-14
    64. AI research evidence record anthropic:citation-15
    65. AI research evidence record anthropic:citation-23
    66. AI research evidence record openai:c2
    67. AI research evidence record grok:web:12
    68. AI research evidence record google:1.1.8
    69. AI research evidence record anthropic:citation-13
    70. AI research evidence record openai:c3
    71. AI research evidence record perplexity:c7
    72. AI research evidence record perplexity:c14
    73. AI research evidence record google:1.3.7
    74. AI research evidence record openai:c11
    75. AI research evidence record openai:c6
    76. AI research evidence record openai:c1
    77. AI research evidence record openai:c2
    78. AI research evidence record grok:web:12
    79. AI research evidence record anthropic:citation-20
    80. AI research evidence record anthropic:citation-11
    81. AI research evidence record anthropic:citation-13
    82. AI research evidence record openai:c6
    83. AI research evidence record openai:c2
    84. AI research evidence record google:1.3.7
    85. AI research evidence record openai:c10
    86. AI research evidence record anthropic:citation-16
    87. AI research evidence record anthropic:citation-17
    88. AI research evidence record google:1.1.8
    89. AI research evidence record anthropic:citation-14
    90. AI research evidence record anthropic:citation-15
    91. AI research evidence record anthropic:citation-11
    92. AI research evidence record anthropic:citation-13
    93. AI research evidence record openai:c6
    94. AI research evidence record anthropic:citation-13
    95. AI research evidence record google:1.1.8
    96. AI research evidence record kimi:viali_platform
    97. AI research evidence record kimi:viali_comp_intel
    98. AI research evidence record kimi:visiby_platform
    99. AI research evidence record kimi:getcited_tracker
    100. AI research evidence record kimi:cited_platform
    101. AI research evidence record openai:c2
    102. AI research evidence record openai:c3
    103. AI research evidence record anthropic:citation-13
    104. AI research evidence record perplexity:c7
    105. AI research evidence record perplexity:c14
    106. AI research evidence record google:1.1.8
    107. AI research evidence record anthropic:citation-16
    108. AI research evidence record perplexity:c5
    109. AI research evidence record openai:c8
    110. AI research evidence record openai:c6
    111. AI research evidence record openai:c6
    112. AI research evidence record grok:web:2
    113. AI research evidence record google:1.3.5
    114. AI research evidence record deepseek:c1
    115. AI research evidence record kimi:scrunch_official_unclear
    116. AI research evidence record openai:c2
    117. AI research evidence record perplexity:c7
    118. AI research evidence record perplexity:c14
    119. AI research evidence record anthropic:citation-13
    120. AI research evidence record anthropic:citation-20

Verify this research

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

Study date
September 19, 2026
Platforms analyzed
7
Source records
42
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#6

Research trail and source mix

Configured platforms

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

Source mix

13 independent · 28 company-owned · 1 unclear

Evidence support

28 direct · 1 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 e6dd3d90831bad48aa314008a63c200b37da293550887126c5d59c329028299b