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AI Consensus Fit Review

Scrunch AI AI Search Audits Before Hiring a GEO Agency Fit Review

Scrunch AI is a good fit for the measurement half of a pre-GEO-agency audit.

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

Answer Capsule

Scrunch AI is a good fit for the measurement half of a pre-GEO-agency audit. Two of seven platforms named it during ranking discovery (deepseek, openai), at rank 6 on both, giving it a 28.6% share of included platform responses and an average listed rank of 6.0. Its strongest case is documented prompt-level visibility, citation ownership, competitor presence, and source-gap prioritization that can be frozen as a baseline before an agency contract. The main limitation is that it is a monitoring subscription, not an independent consulting audit: plan names and pricing conflict across official pages, site-audit depth is undefined, and company-owned sources far outnumber independent ones.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 (deepseek, openai)
Share of included platform responses28.6%
Average listed rank6.0
Best listed rank6
Relevant product/model/planScrunch AI visibility platform; Core commercial monitoring plan for brands, with Enterprise as the higher-capacity option
Overall use-case fitGood (openai, anthropic, deepseek, perplexity: good; google, grok: strong; kimi: uncertain)
Research date2026-09-18

Why Scrunch AI Qualified for This Study

Questions This Section Answers

  • Is Scrunch AI a good choice for AI Search Audits Before Hiring a GEO Agency?
  • How many AI platforms actually named Scrunch AI when asked for pre-agency audit providers?

Scrunch AI qualified because it was named during ranking discovery by two of the seven included platforms, deepseek and openai, at rank 6 on each [1]. That is a 28.6% share of included platform responses, and it is the only basis on which the entity entered this study.

Qualification is not the same as endorsement. Five of the seven platforms evaluated Scrunch AI's fit for this use case without naming it in the ranking stage, and one platform, kimi, could not verify the product at all, reporting that no public evidence confirmed an "AI visibility platform" or "commercial monitoring and analytics plan" and that searches returned influencer-marketing results instead [3]. That conflict is disclosed rather than resolved.

Fit ratings split across platforms: google and grok rated Scrunch AI a strong fit, openai, anthropic, deepseek, and perplexity rated it good, and kimi rated it uncertain. No platform rated it a poor fit, but no platform rated it unanimously strong either.

The Product, Model, Plan, or Service Most Relevant to AI Search Audits Before Hiring a GEO Agency

Questions This Section Answers

  • Which Scrunch AI plan should a buyer choose to document a pre-agency AI visibility baseline?
  • Does the Scrunch AI Core plan cover enough AI platforms for a baseline audit before hiring a GEO agency?

The relevant offering is the Scrunch AI visibility platform, specifically the Core commercial monitoring plan for brands, with Enterprise as the higher-capacity option [5]. Core is the plan a buyer would realistically trial before signing an agency contract.

Core is described as including 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four AI platforms: ChatGPT, Perplexity, Google AI Overviews, and Microsoft Copilot [5]. Enterprise is described as adding custom prompt volume, complete site audits, custom workspaces and licenses, API access and integrations, SSO, a dedicated account team, and nine AI platforms, adding Gemini, Claude, Google AI Mode, Grok, and Meta AI [5].

An Agency Core plan at $500 per month is also described, with 250 unique prompts, five site audits per brand per month, three brand workspaces, and four LLMs [10]. Independent reviews describe the same Core structure at $250 per month with five user licenses [12].

Plan naming is not stable across sources. One official Scrunch FAQ search result refers to a self-serve Explorer plan and a seven-day trial, creating plan-name uncertainty against the Core and Enterprise tiers [14]. Perplexity's research found Core, Growth, Agency Core, and Explorer all referenced in different public materials [15]. Buyers should confirm the current plan name and its exact limits in writing before purchase.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Scrunch AI can measure for a pre-agency baseline?
  • Can Scrunch AI document competitor AI visibility and cited sources before an agency is hired?

The clearest agreement is that Scrunch AI measures prompt-level brand visibility, citations, and competitor presence, and that this maps onto a pre-agency baseline. Openai, anthropic, deepseek, perplexity, grok, and google all reached that conclusion from company-owned documentation [16].

Platforms agreed on citation analysis specifically. Scrunch's Citations dashboard is described as identifying branded, competitor, and third-party cited sources, top domains and URLs, citation share, unique prompt count, total citations, citation consistency, and an Influence Score, with filters for prompt and citation topic, platform, persona, funnel stage, country, custom tags, timeframe, and citation owner [22]. Independent reviewers describe the same breakdown by source type, including review sites such as G2 and Capterra [25].

Platforms also agreed on competitor tracking. Scrunch states it tracks competitor mentions, competitor webpages driving visibility, and third-party sources cited for competitive mentions, and that it automatically flags AI responses mentioning competitors but not the buyer's brand [26]. Competitive data can be filtered by time period, competitor, prompt, persona, AI platform, and geography [30].

A fourth area of agreement is segmentation for high-value prompts. Scrunch supports prompt generation or import, including conversion of SEO keywords into prompts, and filtering by funnel stage, persona, region or country, topic, platform, and custom tags [16].

Agreement here reflects consistent reading of largely company-owned documentation. It does not establish that the measurements are accurate.

Where the AI Platforms Disagreed or Were Uncertain

Platforms disagreed on how deep the audit actually goes. Google rated Scrunch AI a strong fit, describing deep site audits covering access controls, content delivery, content quality, and content alignment, plus a Content Gaps feature that auto-detects missing content, shows who is cited in the brand's place, and generates content briefs [33]. Openai rated the same site-audit capability unclear, noting that public materials describe five Core site audits per month and Enterprise complete site audits but do not define the audit methodology or what constitutes a complete audit [35].

Independent reviewers split along similar lines. Geoptie and G2 reviewers praise crawler analytics and GA4 integration as the most valuable parts of the product [36], while Profound and Tryprofound reviewers find citation tracking less detailed than alternatives and describe optimization guidance as thin [39]. One reviewer reported that after a week of tracking, most optimization opportunity categories never populated [40]. Anthropic summarized the independent consensus as actionable insights and comparative benchmarking remaining limited relative to monitoring breadth [41].

Prompt selection is a second uncertainty. Scrunch suggests prompts based on its understanding of the brand, but one independent reviewer could not determine how suggestions were selected or how to evaluate them, and could not tell which prompts to track or delete without knowing prompt volume [44].

Kimi's finding is the sharpest disagreement: it could not verify the product exists as described, found no LinkedIn company page, Crunchbase entry, or directory listing matching the description, and noted that all searched GEO audit platforms excluded Scrunch AI from competitive mentions [47]. Grok separately noted that scrunch.com content appeared to redirect or show unrelated material in one crawl, suggesting possible rebranding or acquisition [51]. Anthropic reported that Scrunch was acquired by Sitecore in June 2026, with unclear impact on pricing, roadmap, and support [52].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Scrunch AI track the specific high-value prompts and citation sources a buyer needs for an agency baseline?
  • Can Scrunch AI export or report baseline data in a form a GEO agency can be measured against?

Baseline visibility measurement is the strongest documented capability. Scrunch's Prompts Monitoring reports brand presence, position, sentiment, citations, and competitive presence for tracked prompts and prompt variants by AI platform, limited to the prompts and platforms selected or generated in the workspace [53].

Citation architecture and source gaps are directly supported. The Citations dashboard identifies branded, competitor, and third-party cited sources with citation share, citation consistency, and Influence Score, and supports source-gap and citation-architecture analysis through the filters listed above [55]. Content Gaps auto-detects missing content for prompts, shows who is cited in the brand's place, and generates content briefs [57].

Competitor performance is documented at prompt level, including which competitors are mentioned in responses to individual prompts and where competitors gain visibility [58].

Site diagnostics are described as auditing access controls, content delivery configuration, content quality, and content alignment for AI agents, with Core including five site audits monthly [61]. Independent reviewers describe site audit alerts flagging content access, delivery, or quality issues that may block AI crawlers [64].

Reporting and export are partially documented. Custom date ranges and competitive presence dashboards can be saved as PDF reports for board or executive inquiries [65]. Scrunch describes query and responses APIs, where the responses API can return full AI answers, citations, sentiment, competitors, and metadata, with API billing based on AI responses collected rather than API calls [66]. API availability is listed for Enterprise, so buyers should verify whether exports, API access, or historical snapshots are included in the selected brand plan [66].

Two documented limits matter for audit integrity. Scrunch acknowledges that AI platforms have total visibility into their own trends and that AI-search products must use panel or sampled data, so measurements are monitored observations for selected prompts, not a census of all AI recommendations [68]. Scrunch also warns that JavaScript-only pages, bot blocking, and temporary retrieval errors may prevent it from determining whether a brand appears in the full content of a cited source, which can create incomplete source-gap or mention analysis [55].

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 contract, cancellation, and refund terms apply to a Scrunch AI subscription used for a one-time baseline audit?

Published pricing centers on $250 per month for Core, with Enterprise custom [69]. Agency Core is listed at $500 per month [73]. A seven-day free trial of Core is reported in the official pricing FAQ [69].

Conflicts are material. Google's research found reviews stating either a flat $250 per month or $300 per month billed annually [77]. Perplexity found a Growth plan at $417 per month billed annually or $500 month-to-month, alongside Core at $250 and Agency Core at $500 [74]. Anthropic reported additional users at $25 per month each, or $75 per month for five additional seats, with month-to-month subscription available and annual billing discounts [70]. Deepseek found no published figures at all in the pages it checked, only the existence of tiered plans [79].

Contract terms are largely undisclosed. Openai reported that publicly reviewed sources do not specify minimum contract duration, annual-payment requirements, cancellation notice, refunds, data-retention terms, or post-cancellation access [69]. Deepseek reported contract length, cancellation, and refund terms as unpublished and unclear [79]. Perplexity reported cancellation, minimum term, and refund terms as unverified [74]. Anthropic reported no long-term contract requirement mentioned in public sources and an annual cash minimum of roughly $3,000 at the $250 monthly rate [70].

Additional fees are unclear. API usage is charged by AI responses collected, with no published rate [80]. Implementation, data-export, additional prompt, additional workspace, and custom integration charges are not established in the reviewed public materials [69]. Google reported that exceeding plan limits on tracked prompts may incur overage fees and that Enterprise features such as API access and the full Agent Experience Platform require a custom contract [81].

One official-page retrieval returned unrelated "Tyrell Nexus" pricing content at scrunch.com, showing Professional at $299 and Enterprise at $2,400 (official:C1). This excerpt does not match any other source and should be treated as a retrieval anomaly, not as Scrunch AI pricing. A separate official pricing page retrieval showed Core at $250 per month (official:C2).

Best Suited For

Questions This Section Answers

  • Who gets the most value from Scrunch AI as a pre-agency AI search baseline?
  • Is Scrunch AI worth it for a company that will keep monitoring after the agency is hired?

Scrunch AI is best suited to companies that want a documented, repeatable baseline of AI visibility across tracked commercial and discovery prompts before signing a GEO agency contract [82]. The strongest fit is a buyer who will keep monitoring after the agency starts, so the same prompt set, citation view, and competitor comparison can be re-run against the frozen starting point.

It also suits buyers comparing competitor presence and the sources cited for high-value prompts, since competitor mentions, competitor webpages, and third-party sources are tracked at prompt level [84].

Teams that can interpret monitoring dashboards without heavy platform guidance are a better fit than teams needing step-by-step optimization instructions, because independent reviewers describe optimization insights as thinner than the monitoring data [87].

Multi-brand agencies doing initial assessments for multiple clients before recommending GEO services are also a documented fit, supported by the Agency Core tier and multi-brand workspace structure [90].

Probably Not Best Suited For

Buyers seeking a fully independent consulting audit rather than a software platform are a poor fit, because Scrunch AI is a monitoring subscription and not a services-led audit report with human interpretation [91].

Small buyers needing only a low-cost, one-time snapshot with broad prompt and platform coverage are also a poor fit. Core's four-platform coverage may be insufficient for buyers that require Gemini, Claude, Google AI Mode, Grok, or Meta AI before agency selection, and those engines are described as Enterprise-tier additions [91].

Teams without technical SEO or GEO expertise who need step-by-step optimization recommendations alongside audit data should look elsewhere, since the platform lacks integrated content creation, keyword research, or execution tools and requires handoff to separate platforms or an agency for strategy-to-action [94].

Buyers requiring guaranteed representativeness of all AI searches, or a complete technical SEO-style site audit without confirming Enterprise scope, should not assume Scrunch AI delivers it [96].

When Another Option May Be Better

An independent consultant or agency-neutral audit is a better choice when the buyer needs interpretation, technical remediation priorities, and procurement advice rather than monitoring software [97].

A broader or lower-cost AI visibility tool is a better choice when the primary requirement is a one-time snapshot across many models and Core's four-platform limit is insufficient [97].

A specialized technical crawler alongside Scrunch is a better choice when the buyer needs detailed rendering, crawlability, structured-data, indexation, or content-architecture diagnostics [97].

Platforms also named alternatives for adjacent needs: integrated content creation and optimization tools such as Semrush, Surfer SEO, or Scalenut; lower entry-cost trackers such as AmICited, Rankability, or Profound AI; and unified SEO plus GEO platforms such as Semrush or BrightEdge [100]. Kimi named GeoNexo AI, GEO SEO Lab, DerivateX, Verseodin, and Urek.ai as alternatives for prompt auditing, unified SEO plus GEO, B2B SaaS visibility, RAG ingestion, and e-commerce conversational analytics respectively [102]. These are platform-reported alternatives, not independently validated comparisons.

Questions to Verify Before Buying

Confirm the current plan name and exact limits, since official materials reference Core, Enterprise, Agency Core, Growth, and Explorer across different pages [107].

Confirm whether the buyer can export a timestamped baseline containing prompts, full AI answers, rankings or positions, mentions, citations, competitors, sentiment, and source URLs [110].

Confirm collection frequency, geographic settings, language settings, personalization controls, and sampling methodology for each AI platform [110].

Confirm whether Google AI Overviews, Google AI Mode, Gemini, Claude, Grok, and Meta AI are available on the proposed plan or only Enterprise [110].

Confirm what is included in a Core site audit versus a complete Enterprise site audit, and whether the audit diagnoses crawlability, rendering, structured-data, or content issues [110].

Confirm whether prompts can be locked or versioned so an agency's future performance is compared against the same baseline [114].

Confirm API response rates, overage charges, data-retention period, cancellation terms, refund policy, and annual-contract requirements [116].

Confirm whether Scrunch can identify inaccessible, JavaScript-rendered, bot-blocked, or redirected citation pages and flag incomplete citation extraction [117].

Confirm whether GA4 or Adobe Analytics integration is supported and included in the proposed plan [118].

Confirm the current availability and timeline of the Agent Experience Platform, which multiple sources describe as in limited beta [120].

Confirm how the reported Sitecore acquisition affects pricing, feature roadmap, and support for standalone Scrunch users [121].

Final AI Consensus Verdict

Scrunch AI is a good fit for the measurement portion of a pre-GEO-agency audit, with a documented caveat that it is not a complete independent audit on its own. Four platforms rated it good and two rated it strong, while one could not verify the product; two of seven platforms named it during ranking discovery at rank 6.

The strongest reason to consider it is that its documented capabilities cover the exact baseline inputs this use case requires: tracked prompt visibility, brand and competitor presence, cited URLs, citation ownership, citation consistency, high-impact source prioritization, and filtering by platform, topic, persona, funnel stage, country, and custom tags [122].

The main limitation is verification depth. Company-owned citations materially outnumber independent ones, plan names and pricing conflict across official pages, site-audit methodology is undefined, contract and cancellation terms are undisclosed, and one platform could not confirm the product exists as described. A buyer should use the Core trial or a short paid evaluation to create and export a frozen baseline before signing an agency contract, and should treat platform agreement as a signal about documentation consistency rather than proof of measurement accuracy.

How This Review Was Produced

This review was produced from seven platform fit-research responses collected for the topic "Best AI Search Audits Before Hiring a GEO Agency," using the research date 2026-09-18. Each platform independently evaluated Scrunch AI's fit for the use case and supplied citations. Ranking statistics reflect only platforms that named the entity during ranking discovery, which was two of seven. Fit ratings, strengths, limitations, pricing details, and verification questions were aggregated from the platform responses without independent testing of the product.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date. Deepseek's response is dated 2026-01-20, while the run research date is 2026-09-18; platform-reported dates are provenance metadata and do not independently prove freshness [125].

Deepseek's research was conducted with search disabled, so its findings rest on model knowledge rather than retrieved evidence and require explicit verification before being treated as current facts [126].

The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Company-owned citations materially outnumber independent citations, and company claims are not described here as independently verified.

Conflicting product names, pricing, and capabilities were not resolved by guessing. Where sources conflict, the conflict is described and the buyer is directed to verify.

No platform's agreement with another platform proves product quality. No personal testing, customer experience, or guaranteed performance is claimed in this review.

Explore more ai search audits market intelligence guidance in the category directory.

Sources

Company-Owned Sources

  • Scrunch pricing, plans, and what’s included: https://ai-cdn.scrunchai.com/faqs/category/pricing
  • Query API: Aggregated AI Visibility Metrics: https://developers.scrunch.com/api-reference/query/overview
  • DerivateX company profile and client results: https://linkedin.com/company/derivatex
  • GeoNexo AI company profile and services: https://linkedin.com/company/geonexoai
  • GEO SEO Lab company profile: https://linkedin.com/company/geoseolab
  • Urek.ai company profile: https://linkedin.com/company/urek-ai
  • Verseodin company profile and AEO services: https://linkedin.com/company/verseodin
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  • 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
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  • What APIs does Scrunch offer and how do they work?: https://scrunch.com/faqs/what-apis-does-scrunch-offer-and-how-do-they-work
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  • FAQs - What is the pricing for Scrunch plans?: https://scrunch.com/help/faq-pricing
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  • Scrunch | Pricing: https://scrunch.com/pricing/
  • Official pricing and terms source: https://scrunch.com/terms/
  • Additional AI research evidence126 records
    1. AI research evidence record deepseek:c1
    2. AI research evidence record openai:scrunch-pricing
    3. AI research evidence record kimi:geonexo-2026
    4. AI research evidence record kimi:geoseolab-2026
    5. AI research evidence record openai:scrunch-pricing
    6. AI research evidence record anthropic:12-14
    7. AI research evidence record anthropic:9-10
    8. AI research evidence record google:1.3.7
    9. AI research evidence record anthropic:9-11
    10. AI research evidence record anthropic:13-4
    11. AI research evidence record anthropic:13-6
    12. AI research evidence record anthropic:10-1
    13. AI research evidence record anthropic:10-7
    14. AI research evidence record openai:scrunch-explorer-pricing
    15. AI research evidence record perplexity:c6
    16. AI research evidence record openai:scrunch-citation-guide
    17. AI research evidence record anthropic:1-2
    18. AI research evidence record deepseek:c1
    19. AI research evidence record perplexity:c7
    20. AI research evidence record grok:0
    21. AI research evidence record google:1.4.2
    22. AI research evidence record openai:scrunch-citation-dashboard
    23. AI research evidence record openai:scrunch-citation-prioritization
    24. AI research evidence record anthropic:28-1
    25. AI research evidence record anthropic:17-8
    26. AI research evidence record anthropic:26-1
    27. AI research evidence record anthropic:26-5
    28. AI research evidence record anthropic:26-6
    29. AI research evidence record openai:scrunch-competitor-citations
    30. AI research evidence record anthropic:23-3
    31. AI research evidence record perplexity:c3
    32. AI research evidence record openai:scrunch-insights
    33. AI research evidence record google:1.1.1
    34. AI research evidence record google:1.2.3
    35. AI research evidence record openai:scrunch-pricing
    36. AI research evidence record anthropic:17-4
    37. AI research evidence record anthropic:17-5
    38. AI research evidence record anthropic:28-3
    39. AI research evidence record anthropic:24-16
    40. AI research evidence record anthropic:24-18
    41. AI research evidence record anthropic:6-1
    42. AI research evidence record anthropic:15-6
    43. AI research evidence record anthropic:20-2
    44. AI research evidence record anthropic:3-3
    45. AI research evidence record anthropic:3-4
    46. AI research evidence record anthropic:3-5
    47. AI research evidence record kimi:geonexo-2026
    48. AI research evidence record kimi:geoseolab-2026
    49. AI research evidence record kimi:derivatex-2026
    50. AI research evidence record kimi:verseodin-2026
    51. AI research evidence record grok:0
    52. AI research evidence record anthropic:29-8
    53. AI research evidence record openai:scrunch-citation-guide
    54. AI research evidence record google:1.4.2
    55. AI research evidence record openai:scrunch-citation-dashboard
    56. AI research evidence record openai:scrunch-citation-prioritization
    57. AI research evidence record google:1.2.3
    58. AI research evidence record anthropic:26-5
    59. AI research evidence record anthropic:26-6
    60. AI research evidence record anthropic:23-3
    61. AI research evidence record google:1.1.1
    62. AI research evidence record google:1.1.6
    63. AI research evidence record anthropic:10-7
    64. AI research evidence record anthropic:28-3
    65. AI research evidence record google:1.2.7
    66. AI research evidence record openai:scrunch-apis
    67. AI research evidence record openai:scrunch-pricing
    68. AI research evidence record openai:scrunch-monitoring
    69. AI research evidence record openai:scrunch-pricing
    70. AI research evidence record anthropic:10-1
    71. AI research evidence record grok:2
    72. AI research evidence record google:2.2.2
    73. AI research evidence record anthropic:13-4
    74. AI research evidence record perplexity:c6
    75. AI research evidence record google:2.1.6
    76. AI research evidence record grok:1
    77. AI research evidence record google:2.1.5
    78. AI research evidence record google:2.1.4
    79. AI research evidence record deepseek:c2
    80. AI research evidence record openai:scrunch-apis
    81. AI research evidence record google:1.1.9
    82. AI research evidence record openai:scrunch-pricing
    83. AI research evidence record anthropic:12-14
    84. AI research evidence record anthropic:26-1
    85. AI research evidence record anthropic:26-5
    86. AI research evidence record anthropic:26-6
    87. AI research evidence record anthropic:17-10
    88. AI research evidence record anthropic:24-16
    89. AI research evidence record anthropic:20-3
    90. AI research evidence record anthropic:13-6
    91. AI research evidence record openai:scrunch-pricing
    92. AI research evidence record deepseek:c1
    93. AI research evidence record anthropic:9-11
    94. AI research evidence record anthropic:15-6
    95. AI research evidence record anthropic:20-2
    96. AI research evidence record openai:scrunch-monitoring
    97. AI research evidence record openai:scrunch-pricing
    98. AI research evidence record anthropic:9-10
    99. AI research evidence record google:1.1.1
    100. AI research evidence record anthropic:20-2
    101. AI research evidence record anthropic:20-3
    102. AI research evidence record kimi:geonexo-2026
    103. AI research evidence record kimi:geoseolab-2026
    104. AI research evidence record kimi:derivatex-2026
    105. AI research evidence record kimi:verseodin-2026
    106. AI research evidence record kimi:urekai-2026
    107. AI research evidence record openai:scrunch-explorer-pricing
    108. AI research evidence record perplexity:c6
    109. AI research evidence record anthropic:13-4
    110. AI research evidence record openai:scrunch-pricing
    111. AI research evidence record anthropic:10-1
    112. AI research evidence record anthropic:9-11
    113. AI research evidence record google:1.1.1
    114. AI research evidence record openai:scrunch-citation-guide
    115. AI research evidence record anthropic:3-5
    116. AI research evidence record openai:scrunch-apis
    117. AI research evidence record openai:scrunch-citation-dashboard
    118. AI research evidence record anthropic:17-4
    119. AI research evidence record anthropic:17-5
    120. AI research evidence record anthropic:12-5
    121. AI research evidence record anthropic:29-8
    122. AI research evidence record openai:scrunch-citation-dashboard
    123. AI research evidence record openai:scrunch-citation-prioritization
    124. AI research evidence record anthropic:23-3
    125. AI research evidence record deepseek:c1
    126. AI research evidence record deepseek:c2

Independent Sources

  • Scrunch AI Review: Features, Pricing & Honest Verdict: https://aeocanon.com/reviews/scrunch-ai
  • Scrunch AI Review & Pricing - AIMKT: https://aimkt.com/tools/scrunch-ai
  • 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
  • Scrunch AI Review (2026): Features, Pricing & Alternatives - geotoolbox.ai: https://geotoolbox.ai/blog/scrunch-ai-review
  • Scrunch AI Review: Is it Worth the Investment? - Radarkit: https://radarkit.ai/blog/scrunch-ai-review/
  • Scrunch AI Pricing 2026: $250/mo Core, Custom Enterprise: https://thatmarketingbuddy.com/pricing/scrunch
  • Scrunch AI Review 2026: AI Visibility Tracking Plus a Novel | TMB: https://thatmarketingbuddy.com/software/scrunch
  • Scrunch AI Features: Prompt Monitoring, AXP, Audits & Traffic | Trakkr: https://trakkr.ai/reviews/scrunch-review/features
  • Scrunch AI Features: Prompt Monitoring, AXP, Audits & Traffic | Trakkr: https://trakkr.com/tools/scrunch-ai
  • Scrunch AI Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10030499/Scrunch-AI/
  • 8 best Scrunch AI alternatives for agencies (2026) | Rankability Blog: https://www.rankability.com/blog/scrunch-ai-alternatives/
  • The 9 Best Generative Engine Optimization (GEO) Tools of 2026: https://www.semrush.com/blog/best-generative-engine-optimization-tools/
  • Scrunch AI Review 2026: What $300/mo Gets ... - Analyze AI: 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
  • Scrunch AI Review 2026: Features, Pricing and Best Scrunch Alternative: https://www.youtube.com/watch?v=wMi_v2vmL60
  • Scrunch AI Pricing & Review: Is It The Right Choice For You? | ZeroRank: https://zerorank.ai/blog/scrunch-ai-pricing-review
  • Additional AI research evidence126 records
    1. AI research evidence record deepseek:c1
    2. AI research evidence record openai:scrunch-pricing
    3. AI research evidence record kimi:geonexo-2026
    4. AI research evidence record kimi:geoseolab-2026
    5. AI research evidence record openai:scrunch-pricing
    6. AI research evidence record anthropic:12-14
    7. AI research evidence record anthropic:9-10
    8. AI research evidence record google:1.3.7
    9. AI research evidence record anthropic:9-11
    10. AI research evidence record anthropic:13-4
    11. AI research evidence record anthropic:13-6
    12. AI research evidence record anthropic:10-1
    13. AI research evidence record anthropic:10-7
    14. AI research evidence record openai:scrunch-explorer-pricing
    15. AI research evidence record perplexity:c6
    16. AI research evidence record openai:scrunch-citation-guide
    17. AI research evidence record anthropic:1-2
    18. AI research evidence record deepseek:c1
    19. AI research evidence record perplexity:c7
    20. AI research evidence record grok:0
    21. AI research evidence record google:1.4.2
    22. AI research evidence record openai:scrunch-citation-dashboard
    23. AI research evidence record openai:scrunch-citation-prioritization
    24. AI research evidence record anthropic:28-1
    25. AI research evidence record anthropic:17-8
    26. AI research evidence record anthropic:26-1
    27. AI research evidence record anthropic:26-5
    28. AI research evidence record anthropic:26-6
    29. AI research evidence record openai:scrunch-competitor-citations
    30. AI research evidence record anthropic:23-3
    31. AI research evidence record perplexity:c3
    32. AI research evidence record openai:scrunch-insights
    33. AI research evidence record google:1.1.1
    34. AI research evidence record google:1.2.3
    35. AI research evidence record openai:scrunch-pricing
    36. AI research evidence record anthropic:17-4
    37. AI research evidence record anthropic:17-5
    38. AI research evidence record anthropic:28-3
    39. AI research evidence record anthropic:24-16
    40. AI research evidence record anthropic:24-18
    41. AI research evidence record anthropic:6-1
    42. AI research evidence record anthropic:15-6
    43. AI research evidence record anthropic:20-2
    44. AI research evidence record anthropic:3-3
    45. AI research evidence record anthropic:3-4
    46. AI research evidence record anthropic:3-5
    47. AI research evidence record kimi:geonexo-2026
    48. AI research evidence record kimi:geoseolab-2026
    49. AI research evidence record kimi:derivatex-2026
    50. AI research evidence record kimi:verseodin-2026
    51. AI research evidence record grok:0
    52. AI research evidence record anthropic:29-8
    53. AI research evidence record openai:scrunch-citation-guide
    54. AI research evidence record google:1.4.2
    55. AI research evidence record openai:scrunch-citation-dashboard
    56. AI research evidence record openai:scrunch-citation-prioritization
    57. AI research evidence record google:1.2.3
    58. AI research evidence record anthropic:26-5
    59. AI research evidence record anthropic:26-6
    60. AI research evidence record anthropic:23-3
    61. AI research evidence record google:1.1.1
    62. AI research evidence record google:1.1.6
    63. AI research evidence record anthropic:10-7
    64. AI research evidence record anthropic:28-3
    65. AI research evidence record google:1.2.7
    66. AI research evidence record openai:scrunch-apis
    67. AI research evidence record openai:scrunch-pricing
    68. AI research evidence record openai:scrunch-monitoring
    69. AI research evidence record openai:scrunch-pricing
    70. AI research evidence record anthropic:10-1
    71. AI research evidence record grok:2
    72. AI research evidence record google:2.2.2
    73. AI research evidence record anthropic:13-4
    74. AI research evidence record perplexity:c6
    75. AI research evidence record google:2.1.6
    76. AI research evidence record grok:1
    77. AI research evidence record google:2.1.5
    78. AI research evidence record google:2.1.4
    79. AI research evidence record deepseek:c2
    80. AI research evidence record openai:scrunch-apis
    81. AI research evidence record google:1.1.9
    82. AI research evidence record openai:scrunch-pricing
    83. AI research evidence record anthropic:12-14
    84. AI research evidence record anthropic:26-1
    85. AI research evidence record anthropic:26-5
    86. AI research evidence record anthropic:26-6
    87. AI research evidence record anthropic:17-10
    88. AI research evidence record anthropic:24-16
    89. AI research evidence record anthropic:20-3
    90. AI research evidence record anthropic:13-6
    91. AI research evidence record openai:scrunch-pricing
    92. AI research evidence record deepseek:c1
    93. AI research evidence record anthropic:9-11
    94. AI research evidence record anthropic:15-6
    95. AI research evidence record anthropic:20-2
    96. AI research evidence record openai:scrunch-monitoring
    97. AI research evidence record openai:scrunch-pricing
    98. AI research evidence record anthropic:9-10
    99. AI research evidence record google:1.1.1
    100. AI research evidence record anthropic:20-2
    101. AI research evidence record anthropic:20-3
    102. AI research evidence record kimi:geonexo-2026
    103. AI research evidence record kimi:geoseolab-2026
    104. AI research evidence record kimi:derivatex-2026
    105. AI research evidence record kimi:verseodin-2026
    106. AI research evidence record kimi:urekai-2026
    107. AI research evidence record openai:scrunch-explorer-pricing
    108. AI research evidence record perplexity:c6
    109. AI research evidence record anthropic:13-4
    110. AI research evidence record openai:scrunch-pricing
    111. AI research evidence record anthropic:10-1
    112. AI research evidence record anthropic:9-11
    113. AI research evidence record google:1.1.1
    114. AI research evidence record openai:scrunch-citation-guide
    115. AI research evidence record anthropic:3-5
    116. AI research evidence record openai:scrunch-apis
    117. AI research evidence record openai:scrunch-citation-dashboard
    118. AI research evidence record anthropic:17-4
    119. AI research evidence record anthropic:17-5
    120. AI research evidence record anthropic:12-5
    121. AI research evidence record anthropic:29-8
    122. AI research evidence record openai:scrunch-citation-dashboard
    123. AI research evidence record openai:scrunch-citation-prioritization
    124. AI research evidence record anthropic:23-3
    125. AI research evidence record deepseek:c1
    126. 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
48
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#7

Research trail and source mix

Configured platforms

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

Source mix

19 independent · 29 company-owned

Evidence support

32 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 cc16dd864c3efb3dfbd52b5c0d96966c9709515ad7e8add2db8f65d61c00e9ad