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AI Consensus Fit Review

Scrunch AI White-Label AI Visibility Platform Fit Review for Agencies

Scrunch AI is a good fit for agencies selling AI-visibility audits and recurring monitoring, provided they can absorb a $500/month agency entry point and accept that white-label depth is not publicly documented.

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

Answer Capsule

Scrunch AI is a good fit for agencies selling AI-visibility audits and recurring monitoring, provided they can absorb a $500/month agency entry point and accept that white-label depth is not publicly documented. Two of seven platforms named Scrunch AI during the ranking stage, at an average listed rank of 7.0 and a best rank of 6. The strongest reason to consider it is the combination of multi-client workspaces, prospecting environments, competitor and citation intelligence, and API-first white-label positioning. The main limitation is that agency pricing, workspace ceilings, model coverage, and the exact scope of white-label branding are not fully published, so buyers must verify them before signing.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (deepseek, google)
Share of included platform responses28.6%
Average listed rank7.0
Best listed rank6
Relevant product/model/planAgency Suite; Agency Core; Agency Enterprise; Scrunch Agency Partner Program
Overall use-case fitGood (per openai, anthropic, grok, perplexity); strong per google; mixed per deepseek; uncertain per kimi
Research date2026-09-19

Why Scrunch AI Qualified for This Study

Questions This Section Answers

  • Is Scrunch AI a good choice for white-label AI visibility reporting for agencies?
  • Does Scrunch AI offer multi-client management and white-label outputs for agency delivery?

Scrunch AI qualified because it is one of the few platforms in this category that markets an agency-specific offer rather than a repurposed brand plan. Scrunch states that its API-first architecture can power agency dashboards and fully white-label outputs for clients, and it markets multi-client workspaces, prospecting environments, access controls, and agency support [1]. Its Agency Partner Program documents a unified multi-client workspace where agencies manage multiple brands from one dashboard without logging in and out, with bulk import and self-serve environment spin-up [3].

The platform also covers the functional requirements named in the buyer prompt. It tracks seed prompts, prompt variants, responses, brand presence, citations, and competitor presence across supported AI platforms [5]. It reports brand presence, competitive presence, share of voice, response position, sentiment, citations, and AI referrals [6]. Data can be exported through API or CSV [7].

Qualification is not the same as verified superiority. Two of seven platforms named Scrunch AI in the ranking stage, and the fit ratings split across good, strong, mixed, and uncertain. One platform (kimi) concluded that Scrunch AI is an influencer marketing platform rather than an AI visibility platform, a claim that conflicts directly with the other six platform responses and with Scrunch's own agency page [8]. Buyers should treat that single dissenting characterization as an outlier rather than a settled fact, while noting that it was never reconciled in the supplied research.

The Product, Model, Plan, or Service Most Relevant to White-Label AI Visibility Platforms for Agencies

Questions This Section Answers

  • Which Scrunch AI plan should an agency choose for multi-client AI visibility reporting?
  • How much does Scrunch AI Agency Core cost per month for agency use?

The relevant offering is the agency tier, referred to across sources as Agency Suite, Agency Core, or the Agency Partner Program, with a custom Agency Enterprise tier above it [10]. Agency Core is publicly listed at $500 per month, and Agency Enterprise is custom-priced [13]. An independent 2026 review reports Agency Core at $500 per month with 250 unique prompts, three brand workspaces, three pitch workspaces, unlimited licenses, five audits per brand per month, and four models [16].

For comparison, the self-serve brand plans are Core at $250 per month with 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four supported LLMs, and Enterprise at custom pricing [17]. Independent reviews describe the same Core structure and place Growth at $417 per month billed annually or $500 month to month [18]. One independent review frames Scrunch pricing as $300–$500+ per month and notes the platform is designed around brand-level monitoring for individual companies [20].

Plan naming is genuinely inconsistent across sources. Some reviews use Starter, Growth, and Core labels interchangeably, and one source describes agency pricing as quote-only with no published portfolio ceilings [19]. Buyers should confirm the current plan name, price, and included limits in writing rather than relying on any single published summary.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Scrunch AI does well for agency AI visibility work?
  • Is Scrunch AI's multi-client workspace suitable for agencies managing several client brands?

Agreement was strong on four points.

First, multi-client management. Scrunch documents a unified multi-client workspace with role-based permissions and brand-specific Guest access so clients see only their own data [22]. Multiple platforms independently described multi-client workspaces and prospecting environments as core agency features [24].

Second, competitor and citation intelligence. Scrunch supports competitor comparisons across mentions, citations, position, sentiment, and other metrics, plus automated gap analysis and a Suggested Competitors feature that identifies competitive brands from response data and can backfill historical prompt data [27].

Third, prospecting environments. Scrunch offers pitch and prospecting workspaces intended for demonstrations before a client is won, which several platforms flagged as directly relevant to agency sales workflows [26].

Fourth, API and export paths. Scrunch states data can be exported through API or CSV, and independent reviewers describe Looker Studio integration and Data API access for building agency-owned dashboards [32].

Agreement among AI platforms reflects shared source material, not independent proof of product quality. Most of the functional detail traces back to Scrunch's own pages.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Scrunch AI's white-label functionality strong enough for client-facing agency portals?
  • Which AI models does Scrunch AI Agency Core monitor versus Enterprise?

The sharpest disagreement concerns white-label depth. Scrunch states agencies can offer an agency-branded AI search product and fully white-label outputs [34]. Independent reviewers counter that Scrunch does not publicly document native logo replacement, custom domains, scheduled white-label exports, or every client permission [36]. One review notes Scrunch uses the phrase "agency-branded AI search product" without spelling out a native rebranded portal [37]. Another platform concluded that true white-label functionality, including branding removal and custom domains, is unclear and may amount to shareable client reports [38].

Model coverage is the second conflict. Public pricing indicates four models on Core and nine on Enterprise [39]. One source states Claude is available at base level on agency plans as of July 2026, while another states Claude is gated to Enterprise only [40]. Current availability as of the September 2026 research date is unresolved.

The third conflict is category identity. One platform concluded Scrunch AI is an influencer marketing platform with no verifiable AI visibility monitoring [42]. Six other platforms described a functioning AI visibility platform with agency features. The supplied research does not reconcile this.

Fourth, actionability. Independent reviewers consistently note that Scrunch builds the analytics layer but not the layer that fixes the gaps it surfaces, and that Insights and Site Audit features were still in beta [44]. One review reports weak reporting and visualization for an enterprise tool [45].

Fifth, pricing transparency. One platform reported no public pricing at all for the Agency Suite [38], while others cited Agency Core at $500 per month from Scrunch's own FAQ pages [46]. The discrepancy likely reflects different crawl dates rather than a genuine contradiction, but buyers should verify current published pricing.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Scrunch AI track citations, competitor mentions, and AI referral traffic for agency clients?
  • Can Scrunch AI reports be exported or delivered through Looker Studio for client reporting?
RequirementScrunch AI capabilityEvidence strength
Multi-client managementUnified multi-client workspace, bulk import, self-serve environment spin-up, role-based permissions, brand-specific Guest accessCompany-reported
Scalable prompt monitoringSeed prompts, prompt variants, responses, brand presence across supported platforms; 250 unique prompts reported on Agency CoreCompany-reported plus one independent review
Competitor comparisonsMentions, citations, position, sentiment, gap analysis, Suggested Competitors with historical backfillCompany-reported
Citation and recommendation trackingBrand and competitor citations, cited sources, source influence, response position, sentimentCompany-reported
Exportable reportingAPI and CSV export; Looker Studio integration; Data API accessCompany-reported plus independent review
White-label or client-facing functionality"Fully white-label outputs" claimed; agency-branded AI search product language; exact branding controls undocumentedCompany-reported, disputed in scope
AI traffic attributionGA4 integration mapping AI crawler referrals to pages and trendsIndependent reviews
Prospecting environmentsPitch workspaces for pre-sale demonstrationsCompany-reported plus independent review

Two capabilities deserve separate mention. GA4 AI traffic attribution, which maps referral traffic from AI crawlers and answer engines to specific pages, is repeatedly described as Scrunch's standout feature and is available at the Core tier [48]. The Agent Experience Platform (AXP), which serves optimized content to AI crawlers at the CDN layer, is a differentiated technical capability but is restricted to Enterprise tiers [50].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Scrunch AI cost per month for agency plans, and are there setup or seat fees?
  • What contract, cancellation, and overage terms apply to Scrunch AI agency pricing?

Published costs, as reported across sources:

  • Core (brand plan): $250 per month with 125 unique prompts, five site audits per month, one brand workspace, five user licenses, and four LLMs [52].
  • Core month-to-month: $300 per month [54].
  • Growth: $417 per month billed annually or $500 month to month [54].
  • Agency Core: $500 per month [55].
  • Agency Enterprise: custom pricing [55].
  • Additional user seats: $25 per month per user beyond included licenses [54].
  • Referral commissions: up to 20% on referred customers through the Agency Partner Program [54].
  • Free trial: seven days, publicly advertised for Core and reported for Agency Core [60].

Contract and cancellation terms are not publicly itemized for agency plans and require sales engagement [54]. Month-to-month billing is available at a higher per-month rate than annual commitment on brand tiers [54]. Annual billing discounts of roughly two months free are described for some tiers [58]. No separately itemized agency setup, API, overage, implementation, or white-label fees were verified publicly [52].

One platform reported that Scrunch publishes no pricing at all and that all pricing is custom or sales-quoted [63]. That finding conflicts with Scrunch's own FAQ pages listing Agency Core at $500 per month and should be treated as a stale or incomplete crawl rather than a current fact.

Best Suited For

Questions This Section Answers

  • Which agencies get the most value from Scrunch AI for white-label AI visibility delivery?

Scrunch AI is best suited for agencies that sell AI visibility monitoring alongside site audits and AI customer-experience work, manage multiple enterprise clients, and already employ dedicated AEO or SEO specialists [64]. It fits agencies that need a multi-brand dashboard with role-based access and centralized client management without repeated logins [66]. It fits agencies that want to justify AI visibility investment with GA4 AI referral traffic and crawler behavior data [67]. It fits sales-led agencies that benefit from prospecting environments for pitches [68]. It also fits agencies with developer capacity to pull data through the API into their own dashboards or client portals [69].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Scrunch AI for agency AI visibility reporting?

Scrunch AI is probably not the best fit for small agencies needing low-cost, high-volume per-client economics with transparent pricing [71]. It is weaker for agencies that require all major AI models on a self-serve plan, since broader model coverage appears tied to Enterprise [71]. It is weaker for buyers who need independently validated white-label report customization, client permissions, or service-level commitments, because those details are not publicly documented [74]. It is also weaker for agencies seeking in-platform content optimization or automated workflows, since reviewers consistently describe the action layer as living outside the tool [76]. Solo marketers, freelancers, and small businesses without a dedicated SEO or AEO expert are explicitly named as poor fits [72].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Scrunch AI for an agency that needs documented white-label portals?
  • When should an agency choose a lower-cost AI visibility platform instead of Scrunch AI?

Consider alternatives in these situations:

  • When fully documented white-label portals with native domain support and scheduled automated exports are mandatory. One independent review positions AI Peekaboo as architected from the ground up for multi-client management with white-label dashboards and Looker Studio connectivity out of the box [78].
  • When transparent, public multi-client pricing without sales engagement is required. Independent reviews name Loudmink, Profound, and AI Peekaboo as offering clearer price structures [78].
  • When per-client scalable pricing with predictable costs is the priority. Competitor benchmarks cite Ayzeo at $149 per month for three clients plus $49 per additional client, and Routeless Radar at $499 per month for three clients plus $149 per additional client [79].
  • When unlimited team seats without per-user overage fees matter. LLM Pulse is cited as offering unlimited seats on all plans, versus Scrunch's $25 per month per additional user [78].
  • When in-platform content optimization or automated action workflows are required. HubSpot AEO, Dageno, GetMint, and AthenaHQ are described as offering more mature action layers [78].
  • When stack consolidation with traditional SEO tools is needed. Semrush AI Visibility Toolkit, Ahrefs Brand Radar, and SE Visible combine AI search with broader SEO functionality [78].

These alternatives are named in platform-supplied reviews and competitor-owned pages. Their pricing and capability claims were not independently validated in this study.

Questions to Verify Before Buying

Questions This Section Answers

  • What should an agency confirm with Scrunch AI before signing an agency contract?

Confirm these items directly with Scrunch before committing budget:

  1. What exactly is included in the agency plan today: brand workspaces, pitch workspaces, prompts, audits, competitors, personas, countries, languages, and model access [83]?
  2. Does white-labeling include custom domain, logo, colors, email sender, PDF or slide reports, client logins, and separate client permissions [85]?
  3. Are API access, CSV exports, scheduled reporting, historical backfill, and integrations included or sold as Enterprise add-ons [84]?
  4. What happens when prompt, audit, workspace, or model limits are exceeded [88]?
  5. Which AI platforms and regional interfaces are monitored under Agency Core versus Enterprise, and is Claude included [89]?
  6. Are there annual commitments, setup fees, cancellation notice periods, auto-renewal terms, or data-retention restrictions [91]?
  7. Can the agency segregate client data and restrict each client to only its own workspace [93]?
  8. What uptime, support response, data-processing, and security commitments are included in the agreement [86]?
  9. How mature are Site Audit and Insights features, and do recommendations provide specific actionable steps [95]?
  10. Does the June 2026 Sitecore acquisition affect roadmap, integrations, or pricing over the contract term [89]?

Final AI Consensus Verdict

Scrunch AI is a good fit for agencies that need multi-client AI-search monitoring, competitor and citation analysis, prospecting workspaces, API access, and claimed white-label outputs, and that can absorb a $500 per month agency entry point. Fit is weaker for agencies requiring broad model coverage on self-serve plans, fully transparent enterprise pricing, or independently verified client-reporting depth.

The consensus is not unanimous. Four platforms rated the fit good, one rated it strong, one mixed, and one uncertain. Two of seven platforms named Scrunch AI during ranking discovery, at an average listed rank of 7.0. The strongest evidence supports multi-client workspaces, competitor and citation intelligence, and GA4 AI traffic attribution. The weakest evidence concerns white-label depth, agency pricing transparency, model coverage by tier, and actionability of insights.

Buyers should treat this as a shortlist candidate for agencies selling AI-visibility audits and recurring monitoring, not as a settled category leader. Verify agency pricing, quotas, model coverage, white-label scope, and contract terms in writing before purchase.

How This Review Was Produced

This review aggregates fit-research responses from seven AI platforms, each evaluating Scrunch AI against the same buyer prompt: a marketing or SEO agency wanting to offer AI visibility reporting under its own brand with multi-client management, scalable prompt monitoring, competitor comparisons, citation and recommendation tracking, exportable reporting, and white-label or client-facing functionality. The study date is 2026-09-19. Platform-reported research dates differ: deepseek reported 2026-06-01, while the other six platforms reported 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.

All included platforms evaluated fit, but the platform-mention count reflects only platforms that named Scrunch AI during ranking discovery. Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. No personal testing, customer interviews, or independent verification was performed for this review.

Methodology Limitations

Several limitations constrain the conclusions here.

Platform-reported research dates differ from the authoritative run date, and one platform's research predates the others by more than three months. The supplied URLs were not independently validated. Citations are platform-reported evidence rather than verified facts, and no-search model claims require explicit verification before being described as current.

Material conflicts remain unresolved. Agency pricing tiers are inconsistently labeled across sources, with some using Growth tier labels and others describing agency pricing as custom-only. White-label capabilities are described differently by Scrunch and by independent reviewers. Claude availability at the base tier versus Enterprise-only is disputed. One platform concluded Scrunch AI is an influencer marketing platform, which conflicts with six other platform responses and was never reconciled.

Most functional and outcome evidence is vendor-reported. Customer outcome figures and product-effectiveness claims should not be treated as independently verified results. Missing pricing or documentation was not interpreted as disagreement or as proof of absence.

See the broader White-Label AI Visibility Platforms for Agencies consensus index for comparisons across qualified options.

Explore more ai visibility llm monitoring guidance in the category directory.

Sources

Company-Owned Sources

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  • Scrunch - API Documentation: https://scrunch.com/api
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    2. AI research evidence record anthropic:cit_22
    3. AI research evidence record anthropic:cit_20
    4. AI research evidence record anthropic:cit_19
    5. AI research evidence record openai:scrunch_brand_tracking
    6. AI research evidence record openai:scrunch_visibility_metrics
    7. AI research evidence record openai:scrunch_outcomes
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    9. AI research evidence record kimi:scrunch-2024-features
    10. AI research evidence record openai:scrunch_agencies
    11. AI research evidence record perplexity:c1
    12. AI research evidence record google:1.3.2
    13. AI research evidence record perplexity:c2
    14. AI research evidence record perplexity:c3
    15. AI research evidence record grok:web:7
    16. AI research evidence record openai:geoshark_review
    17. AI research evidence record openai:scrunch_pricing
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    19. AI research evidence record anthropic:cit_7
    20. AI research evidence record anthropic:cit_6
    21. AI research evidence record perplexity:c9
    22. AI research evidence record anthropic:cit_20
    23. AI research evidence record anthropic:cit_4
    24. AI research evidence record grok:web:13
    25. AI research evidence record google:1.1.1
    26. AI research evidence record openai:scrunch_agencies
    27. AI research evidence record openai:scrunch_competitor_tracking
    28. AI research evidence record openai:scrunch_competitor_gaps
    29. AI research evidence record openai:scrunch_suggested_competitors
    30. AI research evidence record google:1.1.3
    31. AI research evidence record grok:web:12
    32. AI research evidence record openai:scrunch_outcomes
    33. AI research evidence record anthropic:cit_15
    34. AI research evidence record anthropic:cit_22
    35. AI research evidence record openai:scrunch_agencies
    36. AI research evidence record anthropic:cit_4
    37. AI research evidence record anthropic:cit_21
    38. AI research evidence record deepseek:c1
    39. AI research evidence record openai:scrunch_pricing
    40. AI research evidence record anthropic:cit_23
    41. AI research evidence record anthropic:cit_13
    42. AI research evidence record kimi:scrunch-2024-about
    43. AI research evidence record kimi:scrunch-2024-features
    44. AI research evidence record anthropic:cit_9
    45. AI research evidence record anthropic:cit_10
    46. AI research evidence record perplexity:c2
    47. AI research evidence record grok:web:7
    48. AI research evidence record anthropic:cit_17
    49. AI research evidence record anthropic:cit_16
    50. AI research evidence record google:1.1.4
    51. AI research evidence record google:1.2.1
    52. AI research evidence record openai:scrunch_pricing
    53. AI research evidence record anthropic:cit_12
    54. AI research evidence record anthropic:cit_7
    55. AI research evidence record perplexity:c2
    56. AI research evidence record perplexity:c3
    57. AI research evidence record grok:web:7
    58. AI research evidence record google:1.3.2
    59. AI research evidence record google:1.1.1
    60. AI research evidence record anthropic:cit_29
    61. AI research evidence record openai:geoshark_review
    62. AI research evidence record perplexity:c9
    63. AI research evidence record deepseek:c1
    64. AI research evidence record anthropic:cit_11
    65. AI research evidence record anthropic:cit_3
    66. AI research evidence record anthropic:cit_20
    67. AI research evidence record anthropic:cit_17
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    69. AI research evidence record anthropic:cit_4
    70. AI research evidence record google:1.1.1
    71. AI research evidence record openai:scrunch_pricing
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    73. AI research evidence record anthropic:cit_13
    74. AI research evidence record anthropic:cit_4
    75. AI research evidence record anthropic:cit_21
    76. AI research evidence record anthropic:cit_9
    77. AI research evidence record anthropic:cit_25
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    79. AI research evidence record kimi:ayzeo-agency
    80. AI research evidence record kimi:routeless-agency
    81. AI research evidence record anthropic:cit_7
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    84. AI research evidence record anthropic:cit_4
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    86. AI research evidence record deepseek:c1
    87. AI research evidence record google:1.3.1
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    89. AI research evidence record anthropic:cit_23
    90. AI research evidence record anthropic:cit_13
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    92. AI research evidence record perplexity:c9
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    94. AI research evidence record google:1.1.4
    95. AI research evidence record anthropic:cit_10

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  • Scrunch AI Review 2026: What $300/mo Gets: https://www.tryanalyze.ai/blog/scrunch-ai-review
  • Additional AI research evidence95 records
    1. AI research evidence record openai:scrunch_agencies
    2. AI research evidence record anthropic:cit_22
    3. AI research evidence record anthropic:cit_20
    4. AI research evidence record anthropic:cit_19
    5. AI research evidence record openai:scrunch_brand_tracking
    6. AI research evidence record openai:scrunch_visibility_metrics
    7. AI research evidence record openai:scrunch_outcomes
    8. AI research evidence record kimi:scrunch-2024-about
    9. AI research evidence record kimi:scrunch-2024-features
    10. AI research evidence record openai:scrunch_agencies
    11. AI research evidence record perplexity:c1
    12. AI research evidence record google:1.3.2
    13. AI research evidence record perplexity:c2
    14. AI research evidence record perplexity:c3
    15. AI research evidence record grok:web:7
    16. AI research evidence record openai:geoshark_review
    17. AI research evidence record openai:scrunch_pricing
    18. AI research evidence record anthropic:cit_12
    19. AI research evidence record anthropic:cit_7
    20. AI research evidence record anthropic:cit_6
    21. AI research evidence record perplexity:c9
    22. AI research evidence record anthropic:cit_20
    23. AI research evidence record anthropic:cit_4
    24. AI research evidence record grok:web:13
    25. AI research evidence record google:1.1.1
    26. AI research evidence record openai:scrunch_agencies
    27. AI research evidence record openai:scrunch_competitor_tracking
    28. AI research evidence record openai:scrunch_competitor_gaps
    29. AI research evidence record openai:scrunch_suggested_competitors
    30. AI research evidence record google:1.1.3
    31. AI research evidence record grok:web:12
    32. AI research evidence record openai:scrunch_outcomes
    33. AI research evidence record anthropic:cit_15
    34. AI research evidence record anthropic:cit_22
    35. AI research evidence record openai:scrunch_agencies
    36. AI research evidence record anthropic:cit_4
    37. AI research evidence record anthropic:cit_21
    38. AI research evidence record deepseek:c1
    39. AI research evidence record openai:scrunch_pricing
    40. AI research evidence record anthropic:cit_23
    41. AI research evidence record anthropic:cit_13
    42. AI research evidence record kimi:scrunch-2024-about
    43. AI research evidence record kimi:scrunch-2024-features
    44. AI research evidence record anthropic:cit_9
    45. AI research evidence record anthropic:cit_10
    46. AI research evidence record perplexity:c2
    47. AI research evidence record grok:web:7
    48. AI research evidence record anthropic:cit_17
    49. AI research evidence record anthropic:cit_16
    50. AI research evidence record google:1.1.4
    51. AI research evidence record google:1.2.1
    52. AI research evidence record openai:scrunch_pricing
    53. AI research evidence record anthropic:cit_12
    54. AI research evidence record anthropic:cit_7
    55. AI research evidence record perplexity:c2
    56. AI research evidence record perplexity:c3
    57. AI research evidence record grok:web:7
    58. AI research evidence record google:1.3.2
    59. AI research evidence record google:1.1.1
    60. AI research evidence record anthropic:cit_29
    61. AI research evidence record openai:geoshark_review
    62. AI research evidence record perplexity:c9
    63. AI research evidence record deepseek:c1
    64. AI research evidence record anthropic:cit_11
    65. AI research evidence record anthropic:cit_3
    66. AI research evidence record anthropic:cit_20
    67. AI research evidence record anthropic:cit_17
    68. AI research evidence record openai:scrunch_agencies
    69. AI research evidence record anthropic:cit_4
    70. AI research evidence record google:1.1.1
    71. AI research evidence record openai:scrunch_pricing
    72. AI research evidence record anthropic:cit_11
    73. AI research evidence record anthropic:cit_13
    74. AI research evidence record anthropic:cit_4
    75. AI research evidence record anthropic:cit_21
    76. AI research evidence record anthropic:cit_9
    77. AI research evidence record anthropic:cit_25
    78. AI research evidence record anthropic:cit_1
    79. AI research evidence record kimi:ayzeo-agency
    80. AI research evidence record kimi:routeless-agency
    81. AI research evidence record anthropic:cit_7
    82. AI research evidence record anthropic:cit_25
    83. AI research evidence record openai:scrunch_agencies
    84. AI research evidence record anthropic:cit_4
    85. AI research evidence record anthropic:cit_21
    86. AI research evidence record deepseek:c1
    87. AI research evidence record google:1.3.1
    88. AI research evidence record anthropic:cit_14
    89. AI research evidence record anthropic:cit_23
    90. AI research evidence record anthropic:cit_13
    91. AI research evidence record anthropic:cit_7
    92. AI research evidence record perplexity:c9
    93. AI research evidence record anthropic:cit_20
    94. AI research evidence record google:1.1.4
    95. AI research evidence record anthropic:cit_10

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
50
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#10

Research trail and source mix

Configured platforms

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

Source mix

26 independent · 24 company-owned

Evidence support

23 direct · 8 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 d582f70a38f252ece911f325efbb3686de751e399a0db1a411ca964299492f86