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AI Consensus Fit Review

Scrunch AI Citation Intelligence Platform Fit Review

Scrunch is a strong-to-good fit for AI citation intelligence, but not a unanimous one.

Research: 2026-09-177 usable platform responsesRead the methodology ↗

Answer Capsule

Scrunch is a strong-to-good fit for AI citation intelligence, but not a unanimous one. Three of seven platforms named Scrunch during ranking discovery — Google, Grok, and OpenAI — giving it a 42.9% share of included platform responses and an average listed rank of 5.67 (best rank 3). The strongest reason to consider it is source-level citation intelligence: Scrunch records the URLs and domains AI systems cite, separates brand, competitor, and third-party citations, and exposes an Influence Score for prioritization [1]. The main limitation is commercial opacity and uneven evidence: Enterprise pricing is custom, public plan names and prices conflict across Scrunch's own pages, and company-owned citations far outnumber independent ones [4].

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (Google, Grok, OpenAI)
Share of included platform responses42.9%
Average listed rank5.67
Best listed rank3 (OpenAI)
Relevant product/model/planScrunch Core ($250/month, 4 engines); Scrunch Enterprise (custom pricing, 9 engines, API, integrations, AXP)
Overall use-case fitStrong (OpenAI, Grok); Good (Anthropic, DeepSeek, Perplexity); Uncertain (Kimi)
Research date2026-09-17

Why Scrunch Qualified for This Study

Questions This Section Answers

  • Is Scrunch a good choice for AI Citation Intelligence Platforms in 2026?
  • How many AI platforms actually named Scrunch when asked to recommend citation intelligence tools?

Scrunch qualified because three of the seven included platforms named it during ranking discovery, clearing the two-mention minimum. Google listed it at rank 7, Grok at rank 7, and OpenAI at rank 3, producing an average listed rank of 5.67 and a best rank of 3. Its 42.9% share of included platform responses places it in the middle of the field rather than at the top.

Qualification is not the same as endorsement. Six of seven platforms returned a usable fit assessment, and their verdicts ranged from "strong" (OpenAI, Grok) to "good" (Anthropic, DeepSeek, Perplexity) to "uncertain" (Kimi). Kimi's assessment is the outlier: it reported that no independent web source confirmed Scrunch operates in the AI citation intelligence category at all, and that official-site retrieval failed during its ranking stage [7]. That conflict is disclosed rather than resolved below.

The deterministic identity audit also notes that official-site retrieval failed for one or more mentions and that company-name variants were collapsed onto one canonical brand before qualification. Buyers should treat identity details beyond the reviewed Scrunch sources as unverified.

The Product, Model, Plan, or Service Most Relevant to AI Citation Intelligence Platforms

Questions This Section Answers

  • Which Scrunch plan should a buyer choose if they need citation tracking across more than four AI engines?
  • Does Scrunch Core include API access, or is that gated to Scrunch Enterprise?

The relevant offering is Scrunch AI, sold as two brand tiers: Core and Enterprise. Core is publicly listed at $250 per month and covers four AI platforms — ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot — with 125 unique prompts, five site audits per month, one brand workspace, and five user licenses [8]. Enterprise is custom-priced and adds Gemini, Claude, Google AI Mode, Grok, and Meta AI for nine listed platforms, plus API access, integrations, SSO, a dedicated account team, and expanded prompt volume [10].

A separate Agent Experience Platform (AXP) sits alongside the monitoring product. AXP is described as serving an AI-optimized version of a site to AI agents at the CDN layer without changing the human-facing site [12]. Independent reviewers describe AXP as a pilot or limited-availability capability rather than a production feature, and one advises treating it as a roadmap commitment [15].

Plan naming is genuinely inconsistent in the public record. One official FAQ page lists Explorer at $83/month billed annually and Growth at $417/month billed annually, while another official pricing page shows Core at $250/month and Agency Core at $500/month [18]. Third-party reviews add further variants, including a $300/month figure and a $500/month Growth tier [20]. Buyers should confirm the live lineup directly rather than relying on any single page.

What the AI Platforms Agreed About

Questions This Section Answers

  • What does Scrunch actually do better than other AI citation intelligence platforms?
  • Does Scrunch show which specific URLs and domains AI models cite?

The clearest cross-platform agreement is that Scrunch's core strength is source-level citation intelligence. OpenAI, Anthropic, Grok, and Perplexity all describe the same capability: Scrunch records the URLs and domains cited in tracked AI responses and exposes citation owners, topics, prompt counts, total citations, and citation consistency [22]. Independent reviews echo this, with one calling it the most technically sophisticated citation analysis in the category and another noting it reveals which citation trends are emerging, declining, or disappearing [26].

Platforms also agreed on segmentation. Citation data can be filtered by AI platform, prompt topic, citation topic, branded versus non-branded prompts, persona, funnel stage, country, and tags [22]. Grok adds that Scrunch segments citations by source type — social, news, publications, reviews — and that this segmentation was significant enough to generate trade-press coverage [28].

A third area of agreement is the named-versus-cited distinction. Independent review coverage describes a dashboard that separates being named in an answer body from being buried in a footnote or link, per prompt, and shows which competitors were named instead [30]. Not all competitors offer this split.

Finally, multiple platforms noted API and data portability. Scrunch documents a query API and a responses API, with the responses API returning full answers, citations, sentiment, competitors, and metadata at row level for warehouses, BI tools, and audits [33]. Scrunch states API billing is based on AI responses collected rather than API-call count [33].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Scrunch's citation data independently verified, or is it vendor-reported?
  • How often does Scrunch refresh its AI citation data, and is that fast enough for competitive monitoring?

The sharpest disagreement is about whether Scrunch belongs in this category at all. Kimi reported that no independent web source, competitor comparison, or directory listing confirmed Scrunch operates in AI citation intelligence, that the official website failed to retrieve during its ranking stage, and that it could not determine whether Scrunch is the same entity historically associated with influencer marketing [36]. Every other platform that returned an assessment treated Scrunch as an established citation intelligence vendor. This review does not resolve that conflict; it flags it as the single largest evidence gap.

Data freshness is disputed. Independent review coverage describes prompts running roughly every other day, while another review reports weekly updates [37]. Scrunch's own materials do not publish a guaranteed sampling frequency, and OpenAI's assessment explicitly notes that public documentation does not establish sampling frequency, response reproducibility, or citation completeness [39].

Pricing transparency is a second unresolved area. DeepSeek reported that no public list price for Core or Enterprise appeared on the pages it reviewed and that buyers are directed to sales [40]. Perplexity found conflicting official pages [41]. OpenAI rated pricing confidence as moderate; Perplexity rated it low.

Actionability drew mixed reviews. Several independent reviewers say Scrunch identifies citation gaps but stops short of making them actionable, that the Insights feature remained in beta as of 2026, and that there is no built-in way to push schema fixes or content updates back to a CMS [43]. One review notes the gap between insight and published content remains largely manual [47].

Two further uncertainties are worth naming. First, prompt strategy: one reviewer argues Scrunch converts keywords into inferred prompts rather than tracking real queries, which can diverge from how people actually phrase questions [48]. Second, AXP performance claims — including 99.99% uptime and semantic fidelity figures — are company-reported and were not independently validated in the reviewed sources [50].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Scrunch show which domains support competitor recommendations and where authority gaps exist?
  • Can Scrunch track how AI citation architecture changes over time?

Against the five stated buyer needs, the evidence maps as follows.

Which sources AI systems rely upon. Strong support. Scrunch records cited URLs and domains and exposes citation ownership, topics, prompt counts, totals, and consistency [51]. Independent coverage confirms domain- and URL-level citation intelligence [53].

How sources differ by prompt and platform. Strong support, subject to plan tier. Filters cover platform, prompt topic, persona, funnel stage, country, and tags [51]. Core covers four engines; Enterprise covers nine [54].

Which domains support competitor recommendations. Strong support. Scrunch distinguishes brand, competitor, and third-party citations and recommends using cited competitor sources to identify citation opportunities [56]. Independent coverage confirms the platform shows competitors the model recommends and the sources synthesized [57].

How citation architecture changes over time. Moderate support. Scrunch provides citation consistency and historical monitoring, and publishes platform-specific citation turnover research [58]. That turnover research is based on proprietary company data collected December 2025 through March 2026 and should be treated as directional, not independently established [59].

Where authority gaps exist. Moderate support. The Influence Score is designed to prioritize sources repeatedly cited across tracked prompts, which supports gap identification [60]. Independent coverage describes it as quantifying how broadly individual sources influence tracked AI responses [61]. The score is Scrunch-defined and may not be comparable with other vendors' metrics.

Two adjacent capabilities are worth noting. Scrunch's Agent Traffic dashboard monitors which AI bots — ClaudeBot, GPTBot, PerplexityBot — visit a site and which pages they consume, with GA4 integration for referral attribution [62]. And site audits check whether AI bots can crawl pages, flagging blocked resources, poor sitemaps, and missing structured data [64].

One documented limitation cuts across all of this: Scrunch warns that JavaScript-only pages, bot-blocking, and temporary retrieval errors can prevent it from determining whether a brand or competitor appears in a cited source [51]. A citation record therefore may not always produce complete page-level competitive interpretation.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Scrunch cost per month, and is there a setup or cancellation fee?
  • What are Scrunch's contract, renewal, and data-retention terms for an Enterprise buyer?

Public pricing is inconsistent, and that inconsistency is the headline. The most defensible summary: a self-serve entry tier exists at roughly $250/month equivalent on some official pages, with higher tiers around $417–$500/month equivalent and custom Enterprise pricing [66].

Known costs across sources:

  • Core (brands): $250/month, 125 prompts, 5 audits/month, 1 workspace, 5 licenses, 4 AI platforms [68]
  • Agency Core: $500/month [70]
  • Growth: $417/month billed annually on one official page; $500/month in one third-party review [67]
  • Explorer: $83/month billed annually on one official FAQ page [67]
  • Enterprise: custom pricing, amount undisclosed [68]
  • Extra seats: $25/month each; a Starter seat pack up to 5 additional seats at $75/month [66]
  • 7-day Core trial, no credit card required [68]
  • Annual billing quoted upfront receives the equivalent of two months free [73]

Additional fees are only partially documented. API usage is billed by AI responses collected, but the rate and included volume are unclear [74]. AXP delivery may involve additional CDN or edge infrastructure costs that are not disclosed in public pricing [75]. Monthly billing carries a surcharge versus annual contracts [73].

Contract terms are largely undisclosed. Public sources reviewed do not establish minimum contract length, annual-commitment requirements, cancellation notice, refunds, data-retention periods, or service-level commitments [76]. Scrunch's published terms of use state that total liability is capped at the greater of amounts paid in the preceding 12 months or $1,000, that disputes are governed by Utah law, and that Scrunch may publish a business customer's name and logo in marketing materials (official:C3). Enterprise commercial terms should be obtained in writing.

Best Suited For

Questions This Section Answers

  • Who gets the most value from Scrunch Core versus Scrunch Enterprise for citation intelligence?
  • Is Scrunch worth it for a team that needs SOC 2 compliance in its AI citation tooling?

Scrunch is best suited to companies whose primary need is measuring which URLs, domains, competitors, and third-party sources AI systems cite across tracked prompts and platforms [77]. That includes marketing, SEO, content, communications, and enterprise analytics teams that want row-level citation data or API access [78].

It fits organizations tracking ChatGPT, Perplexity, Google AI Overviews, and Copilot on Core, and additional major platforms on Enterprise [80]. It fits buyers who need crawler-side visibility into which AI bots access which pages before deciding to cite them [82]. And it fits procurement processes that require SOC 2 Type II — Scrunch states it completed a SOC 2 Type II audit, and one independent review describes it as the only citation tracking tool in the category with that certification [83].

Multi-client agencies are a distinct fit via the Agency tier at $500/month, with a referral commission of up to 20% under the Agency Partner Program [85].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Scrunch for AI citation intelligence?
  • Is Scrunch a poor fit for a small team that needs unlimited prompts at the Core price?

Scrunch is probably not the right choice for buyers who need end-to-end citation optimization with automated content generation and publishing. The gap between identifying a citation opportunity and publishing content remains manual, and there is no built-in CMS integration [87].

It is a weak fit for budget-constrained SMBs and startups. Core starts at $250/month for four engines, versus alternatives cited at $99–$199/month, and the prompt allowance is thinner than it first appears: 125 prompts counted separately by engine translates to roughly 31 unique queries across four engines [89].

It is a poor fit for buyers who need guaranteed coverage of every AI platform, every response, or inaccessible citation pages. Scrunch itself documents that blocked, JavaScript-only, or temporarily unavailable pages can prevent page-level interpretation [92]. It is also a poor fit for teams unwilling to commit engineering resources to CDN or edge-layer management if they intend to deploy AXP [93].

Finally, buyers seeking fully independent validation of Scrunch's proprietary influence metrics or research claims will not find it in the reviewed evidence. Company-owned citations materially outnumber independent ones in this study, and no independent source validating citation accuracy or engine coverage was located by at least one platform [94].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Scrunch for a buyer who needs transparent self-serve pricing under $250 per month?
  • When is a lower-cost or simpler AI citation monitoring tool a better choice than Scrunch?

Several platforms named specific conditions under which a different vendor is the better call.

Choose a lower-cost or simpler monitoring platform when the buyer needs only basic brand mentions across a small number of engines rather than source-level citation intelligence [95]. Choose a vendor with independently documented sampling methodology or third-party validation when auditability and reproducibility matter more than breadth of workflow features [95]. Choose a specialized SEO or content optimization platform when the primary requirement is content creation or technical recommendations rather than measuring AI-cited sources [95]. Choose another enterprise data provider when fixed public pricing, contractual data-retention commitments, or guaranteed API quotas are mandatory [95].

Anthropic's assessment adds that buyers needing integrated content generation and automated publishing should look at platforms with deeper content automation, that buyers needing live conversation tracking and instant prompt testing should look elsewhere given Scrunch's roughly two-day cycle, and that buyers who need multi-platform coverage at the Core price point will find competitors covering more engines at entry level [96].

Grok notes that buyers who prefer transparent self-serve pricing — citing an alternative at $69/month — or who need only single-engine or very basic citation tracking may be better served elsewhere [98]. Perplexity advises choosing another vendor if procurement requires fully stable, publicly consistent pricing and packaging before sales engagement, or independently verified coverage matrices for specific answer engines [99].

Kimi's assessment is the most divergent: it recommends treating Scrunch as unproven in this category unless direct vendor verification provides concrete evidence of competitive features, pricing, and engine coverage [101].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Scrunch before signing an Enterprise contract?
  • How do I verify Scrunch's citation accuracy and engine coverage on my own prompts before purchase?

These questions consolidate the verification items the platforms raised. They are not answered by this review; they are the items to put to Scrunch directly.

  1. Which exact AI platforms, regional experiences, model versions, and search modes are included in the proposed plan as of September 2026 [102]?
  2. How frequently are prompts run, and can the buyer control schedule, location, language, and logged-out versus logged-in conditions [102]?
  3. What precisely counts as a citation, and how are inline links, source cards, citations hidden behind expandable UI, and duplicate URLs normalized [102]?
  4. What percentage of cited pages are successfully fetched, and how are JavaScript, robots restrictions, paywalls, bot-blocking, redirects, and temporary failures handled [102]?
  5. What are the API price per collected response, included quotas, rate limits, overage rules, retention period, and warehouse-integration costs [104]?
  6. Does Enterprise include historical backfill, complete site audits, AXP access, and integrations in the proposed contract, or are these separate add-ons [102]?
  7. What are the minimum term, renewal, cancellation, refund, SLA, security, SSO, data-processing, and deletion terms [102]?
  8. Is AXP available for immediate deployment or will there be a pilot queue, and can Scrunch provide reference customers using AXP in production [106]?
  9. Is the Insights feature production-ready or still in beta, and what is the roadmap for shipping actionable recommendations [108]?
  10. How is Influence Score calculated, and can the buyer access the underlying observations rather than only an aggregate score [109]?

Final AI Consensus Verdict

Scrunch is a strong-to-good fit for AI Citation Intelligence Platforms, with a material evidence caveat. Three of seven platforms named it during ranking discovery, six of seven returned a usable fit assessment, and the modal verdict was positive: OpenAI and Grok rated it strong, Anthropic, DeepSeek, and Perplexity rated it good, and Kimi rated it uncertain.

The consensus case for Scrunch rests on source-level citation intelligence — URL and domain visibility, brand/competitor/third-party citation separation, Influence Score prioritization, platform and persona segmentation, and API access on Enterprise [110]. The consensus case against rests on commercial opacity and an immature action layer: Enterprise pricing is undisclosed, public plan names and prices conflict across Scrunch's own pages, the Insights feature remained in beta as of 2026, AXP is described as a pilot, and company-owned citations substantially outnumber independent ones [114].

This is not a unanimous recommendation, and platform agreement does not prove product quality. Buyers should treat Scrunch as a discovery and research layer, budget for Enterprise if broad multi-engine coverage or API access is required, and verify commercial terms, sampling methodology, data completeness, and API costs in writing before purchase.

How This Review Was Produced

This review evaluates Scrunch only for the AI Citation Intelligence Platforms use case. It draws on fit assessments returned by seven AI platforms — OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi — during a study dated 2026-09-17. Three platforms named Scrunch during ranking discovery; six returned a usable fit assessment.

Platform responses were treated as platform-reported evidence, not independently verified facts. Company-owned citations were distinguished from independent citations throughout. Where platforms disagreed, the disagreement is preserved rather than averaged away. Where a claim rested only on vendor material, it is labeled as company-reported.

For the broader field, see the AI Citation Intelligence Platforms consensus index. Related coverage sits in the ai citation authority building category directory.

Methodology Limitations

Several limitations constrain this review.

Six of seven included platforms returned a usable fit assessment, so the fit findings are not unanimous and should not be described as such. Platform mentions in the ranking stage count only platforms that named Scrunch during ranking discovery, which is a narrower measure than fit assessment.

Platform-reported research dates differ from the authoritative run date. DeepSeek's assessment is dated 2026-06-01; all others are dated 2026-09-17. Platform-reported dates are provenance metadata and do not independently prove freshness.

Company-owned citations materially outnumber independent citations in the underlying evidence. Scrunch's own pages supply most of the capability, pricing, and security claims. No independent source validating citation accuracy or engine coverage was located by at least one platform [118].

The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Official-site retrieval failed for one or more mentions during ranking, and the deterministic identity audit notes that company-name variants were collapsed onto one canonical brand before qualification.

Public sources conflict on plan names, prices, and engine counts, and this review does not resolve those conflicts by guessing. Enterprise pricing, API unit rates, response quotas, retention periods, and minimum terms are not disclosed in the reviewed public sources. Scrunch's citation-dynamics statistics are based on proprietary company data and were not independently validated.

Kimi's assessment diverges from every other platform on the fundamental question of whether Scrunch operates in this category. That conflict is disclosed, not resolved.

Sources

Company-Owned Sources

  • Citany — AI Brand Visibility Monitor Across 8 AI Engines: https://citany.com/
  • Cited Cloud — API-first infrastructure for AI visibility and citation tracking: https://cited.cloud/
  • Track AI Citations: See If ChatGPT, Perplexity & Gemini Cite You | CiteTrack AI: https://citetrackai.com/features/track-ai-citations/
  • Citingly — AI Brand Intelligence Platform: https://citingly.com/
  • Scrunch | The AI Customer Experience Platform: https://scrunch.com/
  • Scrunch | Blog - Your AI search citation questions, answered: https://scrunch.com/blog/ai-search-citation-questions-answered
  • 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
  • Does Scrunch help me prioritize citation sources?: https://scrunch.com/faqs/does-scrunch-help-me-prioritize-citation-sources
  • What APIs does Scrunch offer and how do they work?: https://scrunch.com/faqs/what-apis-does-scrunch-offer-and-how-do-they-work
  • Scrunch | FAQs - What is Scrunch's Agent Experience Platform (AXP)?: https://scrunch.com/faqs/what-is-scrunch-agent-experience-platform-axp-and-how-does-it-work
  • What products does Scrunch offer for AI search optimization?: https://scrunch.com/faqs/what-products-does-scrunch-offer-for-ai-search-optimization
  • Insights: 3rd-party vs. competitor vs. brand citations: https://scrunch.com/guides/ai-search-guide/insights
  • Scrunch | Agent Experience Platform (AXP: https://scrunch.com/platform/agent-experience/
  • Scrunch | Monitoring for AI Search - Citations: https://scrunch.com/platform/monitoring/citations/
  • Pricing - Scrunch: https://scrunch.com/pricing/
  • AI citation tracking: see every cited source - Vercite: https://vercite.io/features/citation-tracking
  • Citare — AI search intelligence + full SEO suite | GEO platform for modern teams: https://www.citare.ai/
  • AI SEO & Generative Engine Optimization (GEO) Tool | Cited: https://www.citedintel.com/
  • AI Search Optimization Platform for Brands | Cited: https://www.getcited.in/platform
  • Official pricing and terms source: https://scrunch.com/terms/
  • Additional AI research evidence118 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c5
    3. AI research evidence record openai:c8
    4. AI research evidence record perplexity:c2
    5. AI research evidence record perplexity:c3
    6. AI research evidence record openai:c7
    7. AI research evidence record kimi:search-2026-citingly
    8. AI research evidence record openai:c7
    9. AI research evidence record anthropic:12-4
    10. AI research evidence record anthropic:10-3
    11. AI research evidence record anthropic:12-5
    12. AI research evidence record anthropic:38-20
    13. AI research evidence record anthropic:38-21
    14. AI research evidence record anthropic:41-13
    15. AI research evidence record anthropic:33-18
    16. AI research evidence record anthropic:33-19
    17. AI research evidence record anthropic:45-2
    18. AI research evidence record perplexity:c2
    19. AI research evidence record perplexity:c3
    20. AI research evidence record anthropic:33-2
    21. AI research evidence record anthropic:9-5
    22. AI research evidence record openai:c1
    23. AI research evidence record anthropic:1-1
    24. AI research evidence record grok:4
    25. AI research evidence record perplexity:c1
    26. AI research evidence record anthropic:9-1
    27. AI research evidence record anthropic:9-2
    28. AI research evidence record grok:3
    29. AI research evidence record grok:8
    30. AI research evidence record anthropic:8-3
    31. AI research evidence record anthropic:8-4
    32. AI research evidence record anthropic:8-17
    33. AI research evidence record openai:c2
    34. AI research evidence record openai:c4
    35. AI research evidence record anthropic:3-1
    36. AI research evidence record kimi:search-2026-citingly
    37. AI research evidence record anthropic:8-14
    38. AI research evidence record anthropic:30-2
    39. AI research evidence record openai:c1
    40. AI research evidence record deepseek:c1
    41. AI research evidence record perplexity:c2
    42. AI research evidence record perplexity:c3
    43. AI research evidence record anthropic:31-6
    44. AI research evidence record anthropic:33-3
    45. AI research evidence record anthropic:33-4
    46. AI research evidence record anthropic:34-3
    47. AI research evidence record anthropic:28-3
    48. AI research evidence record anthropic:32-1
    49. AI research evidence record anthropic:32-2
    50. AI research evidence record anthropic:39-5
    51. AI research evidence record openai:c1
    52. AI research evidence record anthropic:1-1
    53. AI research evidence record anthropic:9-1
    54. AI research evidence record anthropic:10-3
    55. AI research evidence record anthropic:12-5
    56. AI research evidence record openai:c8
    57. AI research evidence record anthropic:8-10
    58. AI research evidence record openai:c3
    59. AI research evidence record openai:c9
    60. AI research evidence record openai:c5
    61. AI research evidence record anthropic:6-2
    62. AI research evidence record anthropic:18-3
    63. AI research evidence record anthropic:18-4
    64. AI research evidence record anthropic:32-6
    65. AI research evidence record anthropic:32-7
    66. AI research evidence record perplexity:c2
    67. AI research evidence record perplexity:c3
    68. AI research evidence record openai:c7
    69. AI research evidence record anthropic:16-4
    70. AI research evidence record anthropic:11-2
    71. AI research evidence record anthropic:9-5
    72. AI research evidence record anthropic:10-1
    73. AI research evidence record anthropic:11-1
    74. AI research evidence record openai:c2
    75. AI research evidence record anthropic:45-2
    76. AI research evidence record openai:c1
    77. AI research evidence record openai:c1
    78. AI research evidence record openai:c2
    79. AI research evidence record openai:c4
    80. AI research evidence record anthropic:10-3
    81. AI research evidence record anthropic:12-5
    82. AI research evidence record anthropic:18-3
    83. AI research evidence record anthropic:3-19
    84. AI research evidence record anthropic:9-3
    85. AI research evidence record anthropic:11-2
    86. AI research evidence record anthropic:11-1
    87. AI research evidence record anthropic:28-3
    88. AI research evidence record anthropic:33-4
    89. AI research evidence record anthropic:12-4
    90. AI research evidence record anthropic:16-4
    91. AI research evidence record anthropic:32-1
    92. AI research evidence record openai:c1
    93. AI research evidence record anthropic:45-2
    94. AI research evidence record deepseek:c2
    95. AI research evidence record openai:c1
    96. AI research evidence record anthropic:8-14
    97. AI research evidence record anthropic:28-3
    98. AI research evidence record grok:6
    99. AI research evidence record perplexity:c2
    100. AI research evidence record perplexity:c3
    101. AI research evidence record kimi:search-2026-citingly
    102. AI research evidence record openai:c1
    103. AI research evidence record anthropic:8-14
    104. AI research evidence record openai:c2
    105. AI research evidence record anthropic:33-19
    106. AI research evidence record anthropic:45-2
    107. AI research evidence record anthropic:45-3
    108. AI research evidence record anthropic:34-3
    109. AI research evidence record openai:c5
    110. AI research evidence record openai:c1
    111. AI research evidence record openai:c5
    112. AI research evidence record openai:c8
    113. AI research evidence record openai:c2
    114. AI research evidence record perplexity:c2
    115. AI research evidence record perplexity:c3
    116. AI research evidence record anthropic:34-3
    117. AI research evidence record anthropic:45-2
    118. AI research evidence record deepseek:c2

Independent Sources

  • Scrunch AI Review: Features, Pricing & Honest Verdict: https://arobis.ai/blog/scrunch-ai-review
  • Complete Scrunch Review: Best AEO Platform or Overpriced Monitoring? (2026: https://cintra.run/blog/scrunch-review
  • Scrunch AI Review 2026: Pricing, Features & Honest Verdict: https://crawlraven.com/blog/scrunch-ai-review
  • Scrunch AI Review 2026: Is $500/Month Worth It?: https://dageno.ai/blog/scrunch-ai-review
  • Scrunch AI Review: How I Actually Run It on Client Accounts: https://drewgarrett.org/blog/seo-tools/scrunch-ai-review
  • Scrunch AI Review 2026: Pricing & Crawler Analytics: https://geoptie.com/blog/scrunch-ai-review
  • Scrunch AI Review (2026): Features, Pricing & Alternatives: https://geotoolbox.ai/blog/scrunch-ai-review
  • Understanding Scrunch AI Pricing: A Complete Overview: https://indexly.ai/blog/scrunch-ai-pricing/
  • Scrunch AI Review (2026) - Pricing, Features, Hallucination Detection: https://trakkr.ai/reviews/scrunch-review
  • What Is Scrunch? AI Search, AEO & GEO Platform: https://www.ansvisor.com/ai-visibility-glossary/scrunch
  • Menra vs Scrunch AI: AI Visibility Platform Comparison (2026: https://www.menra.ai/vs/menra-vs-scrunch-ai
  • Scrunch Review | Ai Visibility Monitoring 2026: https://www.stackinsight.net/scrunch-review/
  • Scrunch AI Review 2026: What $300/mo Gets: 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
  • Profound vs Scrunch: Comparing AI search tools (2026: https://www.tryprofound.com/resources/articles/profound-vs-scrunch
  • Additional AI research evidence118 records
    1. AI research evidence record openai:c1
    2. AI research evidence record openai:c5
    3. AI research evidence record openai:c8
    4. AI research evidence record perplexity:c2
    5. AI research evidence record perplexity:c3
    6. AI research evidence record openai:c7
    7. AI research evidence record kimi:search-2026-citingly
    8. AI research evidence record openai:c7
    9. AI research evidence record anthropic:12-4
    10. AI research evidence record anthropic:10-3
    11. AI research evidence record anthropic:12-5
    12. AI research evidence record anthropic:38-20
    13. AI research evidence record anthropic:38-21
    14. AI research evidence record anthropic:41-13
    15. AI research evidence record anthropic:33-18
    16. AI research evidence record anthropic:33-19
    17. AI research evidence record anthropic:45-2
    18. AI research evidence record perplexity:c2
    19. AI research evidence record perplexity:c3
    20. AI research evidence record anthropic:33-2
    21. AI research evidence record anthropic:9-5
    22. AI research evidence record openai:c1
    23. AI research evidence record anthropic:1-1
    24. AI research evidence record grok:4
    25. AI research evidence record perplexity:c1
    26. AI research evidence record anthropic:9-1
    27. AI research evidence record anthropic:9-2
    28. AI research evidence record grok:3
    29. AI research evidence record grok:8
    30. AI research evidence record anthropic:8-3
    31. AI research evidence record anthropic:8-4
    32. AI research evidence record anthropic:8-17
    33. AI research evidence record openai:c2
    34. AI research evidence record openai:c4
    35. AI research evidence record anthropic:3-1
    36. AI research evidence record kimi:search-2026-citingly
    37. AI research evidence record anthropic:8-14
    38. AI research evidence record anthropic:30-2
    39. AI research evidence record openai:c1
    40. AI research evidence record deepseek:c1
    41. AI research evidence record perplexity:c2
    42. AI research evidence record perplexity:c3
    43. AI research evidence record anthropic:31-6
    44. AI research evidence record anthropic:33-3
    45. AI research evidence record anthropic:33-4
    46. AI research evidence record anthropic:34-3
    47. AI research evidence record anthropic:28-3
    48. AI research evidence record anthropic:32-1
    49. AI research evidence record anthropic:32-2
    50. AI research evidence record anthropic:39-5
    51. AI research evidence record openai:c1
    52. AI research evidence record anthropic:1-1
    53. AI research evidence record anthropic:9-1
    54. AI research evidence record anthropic:10-3
    55. AI research evidence record anthropic:12-5
    56. AI research evidence record openai:c8
    57. AI research evidence record anthropic:8-10
    58. AI research evidence record openai:c3
    59. AI research evidence record openai:c9
    60. AI research evidence record openai:c5
    61. AI research evidence record anthropic:6-2
    62. AI research evidence record anthropic:18-3
    63. AI research evidence record anthropic:18-4
    64. AI research evidence record anthropic:32-6
    65. AI research evidence record anthropic:32-7
    66. AI research evidence record perplexity:c2
    67. AI research evidence record perplexity:c3
    68. AI research evidence record openai:c7
    69. AI research evidence record anthropic:16-4
    70. AI research evidence record anthropic:11-2
    71. AI research evidence record anthropic:9-5
    72. AI research evidence record anthropic:10-1
    73. AI research evidence record anthropic:11-1
    74. AI research evidence record openai:c2
    75. AI research evidence record anthropic:45-2
    76. AI research evidence record openai:c1
    77. AI research evidence record openai:c1
    78. AI research evidence record openai:c2
    79. AI research evidence record openai:c4
    80. AI research evidence record anthropic:10-3
    81. AI research evidence record anthropic:12-5
    82. AI research evidence record anthropic:18-3
    83. AI research evidence record anthropic:3-19
    84. AI research evidence record anthropic:9-3
    85. AI research evidence record anthropic:11-2
    86. AI research evidence record anthropic:11-1
    87. AI research evidence record anthropic:28-3
    88. AI research evidence record anthropic:33-4
    89. AI research evidence record anthropic:12-4
    90. AI research evidence record anthropic:16-4
    91. AI research evidence record anthropic:32-1
    92. AI research evidence record openai:c1
    93. AI research evidence record anthropic:45-2
    94. AI research evidence record deepseek:c2
    95. AI research evidence record openai:c1
    96. AI research evidence record anthropic:8-14
    97. AI research evidence record anthropic:28-3
    98. AI research evidence record grok:6
    99. AI research evidence record perplexity:c2
    100. AI research evidence record perplexity:c3
    101. AI research evidence record kimi:search-2026-citingly
    102. AI research evidence record openai:c1
    103. AI research evidence record anthropic:8-14
    104. AI research evidence record openai:c2
    105. AI research evidence record anthropic:33-19
    106. AI research evidence record anthropic:45-2
    107. AI research evidence record anthropic:45-3
    108. AI research evidence record anthropic:34-3
    109. AI research evidence record openai:c5
    110. AI research evidence record openai:c1
    111. AI research evidence record openai:c5
    112. AI research evidence record openai:c8
    113. AI research evidence record openai:c2
    114. AI research evidence record perplexity:c2
    115. AI research evidence record perplexity:c3
    116. AI research evidence record anthropic:34-3
    117. AI research evidence record anthropic:45-2
    118. AI research evidence record deepseek:c2

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
7
Source records
46
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#7

Research trail and source mix

Configured platforms

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

Source mix

18 independent · 28 company-owned

Evidence support

43 direct · 3 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 4560302ce31bb6b67a5bc9547518953333653cb12f7b9cc02270a27231827985