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AI Consensus Fit Review

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

Otterly AI is a mixed fit for agencies that need white-label AI visibility delivery.

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

Answer Capsule

Otterly AI is a mixed fit for agencies that need white-label AI visibility delivery. Two of seven platforms named it during ranking discovery, at an average listed rank of 7.0 and a best rank of 5. Its strongest reason to consider it is agency-grade monitoring depth: unlimited workspaces on Standard and above, competitor and citation tracking, GEO audits, and branded client reporting through Google Looker Studio. Its main limitation is that Otterly AI states it does not currently offer native white-labeling of its interface, branding, or URLs, so client-facing white-label delivery depends on an external reporting layer rather than a fully rebranded application.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (anthropic, deepseek)
Share of included platform responses28.6%
Average listed rank7.0
Best listed rank5
Relevant product/model/planOtterly.ai AI Search Monitoring (Agency usage); Standard plan ($189/mo monthly or $160/mo annual) or Premium plan ($489/mo monthly or $422/mo annual), ideally with Agency Partner status and the Looker Studio connector
Overall use-case fitMixed
Research date2026-09-19

Why Otterly AI Qualified for This Study

Questions This Section Answers

  • Is Otterly AI a good choice for white-label AI visibility platforms for agencies?
  • How many AI platforms named Otterly AI during ranking discovery for agency white-label use?

Otterly AI qualified because it was named by two of the seven platforms that produced fit research, and because it publishes an explicit agency offer rather than only a general monitoring product. Otterly AI markets an agencies page and an Agency Partner program, and its pricing page references agency use directly [1].

The qualification is narrow, not broad. Only two platforms named the entity during ranking discovery, which is the minimum threshold for inclusion in this study. The remaining five platforms evaluated the use case without naming Otterly AI in their ranking stage. That means the consensus base here is thin, and the fit verdict rests on a small number of platform responses plus the underlying sources those responses cited.

The strongest qualification signal is functional rather than branding-related. Otterly AI supports unlimited workspaces and unlimited brand reports on Standard and above, which is the structural requirement for running multiple client brands under one login [4]. The weakest qualification signal is the one the buyer cares about most: native white-label capability. Otterly AI's own help documentation states that it does not currently offer native white-labeling of its interface, branding, or URLs [7].

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

Questions This Section Answers

  • Which Otterly AI plan should an agency choose for white-label client reporting across multiple brands?
  • Does Otterly AI's Agency Partner program include white-label reporting, and does it cost extra?

The relevant configuration is Otterly.ai AI Search Monitoring for agency use, purchased on the Standard or Premium plan and ideally paired with Agency Partner status and the Looker Studio connector. Standard is published at $189/month monthly or $160/month annual; Premium is published at $489/month monthly or $422/month annual [9].

Standard includes a published base allowance of 100 prompts, rising to 150 with Agency Partner status. Premium includes 400 prompts, rising to 500 with Agency Partner status [9]. Agency Partner participation requires an active Standard, Premium, or Enterprise subscription plus application approval, and the program itself is described as carrying no additional program fee [14].

The plan matters because the white-label question is answered differently at each tier. Otterly AI's help documentation says native white-labeling is unavailable [15]. Independent reviews describe the Agency Partner program as including white-labeled Data Studio reports, unlimited client workspaces, and consolidated billing [17]. The practical reading supported by the evidence is that agencies get branded reporting through Looker Studio, not a rebranded Otterly AI application.

This is the central distinction for this buyer. If the requirement is "our clients log into our branded portal on our domain," the supplied evidence does not support that Otterly AI delivers it. If the requirement is "our clients receive reports that carry our brand," Looker Studio is the documented route [20].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Otterly AI does well for agencies managing multiple client brands?
  • Is Otterly AI's multi-client workspace management sufficient for an agency with several clients?

Platforms broadly agreed on monitoring capability and disagreed on branding. The agreement cluster covers four areas.

First, multi-client structure. Standard and above include unlimited workspaces and unlimited brand reports, letting an agency separate each client's brands, prompts, reports, and team access under a single login [22]. Multiple platforms treated this as a genuine advantage for portfolio organization.

Second, competitor and citation tracking. Prompt detail analysis reports competitor rankings, brand coverage, AI responses, cited URLs, citation frequency, domain categories, and competitor presence, and competitors can be added without a stated limit [26]. Independent reviews describe side-by-side competitor tracking showing up to five competitors per tracked prompt and a share-of-voice metric measuring visibility against named competitors [27].

Third, reporting and export mechanics. Reports update daily and can be exported to PDF or CSV, with response-level data available in CSV or JSON [30]. Standard and Premium list API access, MCP access, Agent Analytics, and Looker Studio connectivity [22].

Fourth, the white-label limitation itself. Otterly AI's own documentation states that native white-labeling is not offered and that the interface, branding, and URLs cannot be customized [32]. Independent sources repeat this: Otterly AI "does not list white label in its public plans," and the Looker Studio connector is described as a workaround rather than a full white-label solution [34].

Agreement among AI platforms does not establish product quality. It establishes that these platforms converged on the same reading of the same public evidence.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Do AI platforms disagree about whether Otterly AI offers white-label reporting for agencies?
  • Is Otterly AI's multi-client management native, or does it require per-client setup?

The platforms disagreed on three points, and the disagreements are material to a buying decision.

White-label availability. This is the sharpest conflict. Otterly AI's help page says no native white-label option exists [37]. Otterly AI's marketplace page advertises a white-labeled GEO report tool, creating ambiguity with its own help content [39]. Independent reviews describe white-labeled Data Studio reports as an Agency Partner benefit [40], while other independent sources state white-label reporting is not available on Otterly AI [43]. One competitor comparison lists Otterly AI white-label reports as Enterprise-only [45]. The evidence supports branded Looker Studio reporting, not a white-labeled Otterly AI application, but the exact product boundary is not consistently documented.

Multi-client management depth. Otterly AI's own site presents unlimited workspace management as an agency feature [46]. One independent source dated July 2026 states that Otterly AI and most other AEO platforms do not have multi-client management, and that each client requires a separate subscription, login, and dashboard [48]. Another independent source reports that managing 10+ client AEO programs in Otterly AI requires manual work that dedicated agency platforms handle automatically [50]. The most consistent resolution is that workspace separation exists on Standard and above, but agency-grade automation at scale is limited.

Pricing tier naming. Standard at $189/month and Premium at $489/month appear consistently across platforms [51]. One source lists Premium at $989/month, which may refer to an older Pro tier no longer advertised. A Lite tier at $29/month appears in multiple sources [56]. Prompt allowances also vary by source: 100 versus 150 on Standard, and 400 versus 500 on Premium, with the higher figures tied to Agency Partner status [51].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Otterly AI track competitor citations and share of voice for agency client reporting?
  • Can Otterly AI export client-ready reports, and in what formats?

Otterly AI covers most of the functional requirements in this use case, with one structural gap.

RequirementOtterly AI statusEvidence
Multi-client managementAdvantage: unlimited workspaces and brand reports on Standard and above; scale automation limited
Scalable prompt monitoringAdvantage with cost caveat: 100/400 prompts base, 150/500 with Agency Partner; overages $99 per 100 prompts
Competitor comparisonsAdvantage: side-by-side competitor tracking, up to five competitors per prompt, share of voice
Citation and recommendation trackingAdvantage: cited URLs, citation frequency, domain categories, prioritized recommendations
Exportable reportingAdvantage: daily updates, PDF/CSV exports, CSV/JSON response data, API and MCP on Standard+
White-label or client-facing functionalityLimitation: no native white-label; Looker Studio is the documented route

Two additional capabilities matter for agency delivery. The GEO audit scores 25+ on-page factors including crawlability, structured data, content structure, and semantic signals, with page-level recommendations, and independent reviewers rated it best-in-class at this price point [59]. The same reviewers note the audit is diagnostic only: it tells you what to fix, not how to execute it [61].

Pitch workspaces let an agency run prospect audits before a contract is signed, which is a dedicated agency feature not available on self-serve plans [63].

Known gaps: sentiment analysis is described as underdeveloped relative to core monitoring and is not listed as a standard plan feature [65]. Otterly AI does not track AI crawler bot visits such as GPTBot or ClaudeBot and lacks native Google Search Console integration [67]. Prompt tracking begins when a prompt is added, so historical data before addition is unavailable [68].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Otterly AI cost per month for an agency plan, and what do prompt overages add?
  • Are there setup, cancellation, or add-on fees an agency should budget for with Otterly AI?

Published pricing is consistent across platforms for the two agency-relevant tiers. Standard is $189/month monthly or $160/month annual. Premium is $489/month monthly or $422/month annual [69]. A Lite tier at $29/month appears in multiple sources and may refer to a non-agency tier [74].

Additional costs documented in the supplied evidence:

  • Extra prompts: $99 per 100 additional prompts monthly, or $1,020 annually, on Standard and Premium [69].
  • Google AI Mode add-on: $59/month on Standard and $149/month on Premium; annual equivalents $610 and $1,540 [69].
  • Google Gemini add-on: $59/month on Standard and $149/month on Premium; annual equivalents $610 and $1,540 [69].
  • Claude add-on: $109/month on Standard and $439/month on Premium; annual equivalents $1,100 and $4,400 [69].
  • Add-on prices exclude tax [69].

One platform reported engine add-ons starting from $9/month, which conflicts with the $59/$109 figures above and should be treated as unverified [70].

Contract terms are only partly documented. Monthly and annual payment options are published with credit card payment, and cancellation is described as available at any time through account settings [69]. Cancellation, refunds, renewal mechanics, service-level commitments, data-retention terms, and minimum commitments are not clearly established in the sources checked [69]. A 14-day free trial with no credit card required is reported by one independent review [77]. Looker Studio implementation and any separate Google Workspace or reporting-stack costs are not quantified by Otterly AI [69].

Pricing confidence varies by platform: high for anthropic, grok, and google; moderate for openai, perplexity, and kimi; low for deepseek, whose research date was 2026-01-15 rather than the study date [78].

Best Suited For

Questions This Section Answers

  • Which agencies get the most value from Otterly AI for AI visibility client delivery?
  • Is Otterly AI worth it for an agency that already builds client dashboards in Looker Studio?

Otterly AI fits agencies that need scalable AI-search monitoring across multiple clients and are willing to deliver branded dashboards through Google Looker Studio rather than reselling a fully white-labeled application [79].

Specific fits supported by the evidence:

  • Agencies tracking roughly 5–50 client brands with separate workspaces and consolidated billing under the Agency Partner program [82].
  • Agencies with technical marketing teams comfortable configuring Looker Studio for branded report customization [81].
  • Agencies primarily focused on monitoring and auditing rather than optimization and content execution [84].
  • Teams needing GEO audits with crawlability scoring, structured data analysis, and page-level recommendations [86].
  • Agencies that want to run prospect audits before contract signature using pitch workspaces [88].
  • Budget-conscious agencies testing AI visibility as a service line, given the $29/month entry tier [89].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Otterly AI for white-label AI visibility delivery to agency clients?
  • Is Otterly AI a poor fit for agencies that need a fully branded client portal on their own domain?

Otterly AI is not a strong fit for agencies whose core requirement is native, end-to-end white-label software. Otterly AI states that it does not currently offer native white-labeling and that its interface, branding, and URLs cannot be customized [91].

Other poor fits supported by the evidence:

  • Agencies requiring a fully white-labeled SaaS portal with the agency's domain, interface, login experience, and branding [91].
  • Large agencies managing 100+ client accounts that need automated cross-client dashboards and unified reporting [93].
  • Agencies needing sentiment analysis as a primary workflow, since the feature is described as underdeveloped and is not listed as a standard plan feature [94].
  • Teams requiring Claude, Gemini, or Google AI Mode without paying per-engine add-ons [96].
  • Agencies wanting integrated content execution, since Otterly AI is monitoring-only and execution requires separate tools [98].
  • Agencies needing AI crawler bot tracking or native Google Search Console integration [100].
  • Buyers who need confirmed white-label terms in writing before purchase [101].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Otterly AI for an agency that needs a native white-label client portal?
  • When should an agency choose a different AI visibility platform instead of Otterly AI?

Another option may be better in five documented situations.

Native white-label portal required. Competitors including AI Peekaboo, ZeroRank, and AI Rank Lab are described as offering white-label PDF reports and branded dashboards on lower tiers or all tiers [102]. Geneo, LLM Pulse, and Routeless Radar are described as offering complete white-label portals on custom domains [103]. Ayzeo is described as offering white-label PDF reports with dashboard branding on its Pro plan [106].

Automated multi-client management at scale. AI Peekaboo, AthenaHQ, and LLM Pulse are described as offering centralized multi-client views with single-invoice billing without per-client account setup [102].

All major engines included in base pricing. Geoptie, AI Peekaboo, and LLM Pulse are described as including all major engines without per-engine fees [108].

Sentiment analysis as a primary workflow. LLM Pulse is described as offering live sentiment analysis as a standard feature [109].

Content execution alongside monitoring. Profound, AthenaHQ, Quattr, and Gauge are described as offering integrated content generation, publishing, or optimization workflows [110].

Lower per-client economics at scale are also reported for Loudmink, ZeroRank, and AI Rank Lab for agencies with 10+ clients [107]. These alternative comparisons come from sources that compete with Otterly AI in the same category and should be treated as vendor-adjacent claims rather than neutral assessments.

Questions to Verify Before Buying

Questions This Section Answers

  • What should an agency confirm with Otterly AI before signing a contract for white-label client delivery?
  • Which Otterly AI plan details and quotas should be verified in writing before purchase?

The supplied evidence leaves several items unresolved. Confirm each directly with Otterly AI before committing.

  • Is Agency Partner approval automatic, discretionary, or subject to eligibility criteria beyond an active subscription [111]?
  • Does Agency Partner branded reporting remove Otterly AI branding from every client-facing surface, or only from Looker Studio dashboards [112]?
  • What exact Looker Studio, API, MCP, and Agent Analytics quotas apply to the selected plan and partner status [114]?
  • What are the cancellation, refund, renewal, data-retention, export, and workspace-deletion terms [114]?
  • Can client users access only their own workspace, and what role and permission controls are available [116]?
  • What is the total monthly cost for the agency's expected client count, prompts per client, target engines, and reporting frequency [114]?
  • Are Google AI Mode, Gemini, and Claude add-ons available for the agency's required countries, prompts, and tracking frequency [117]?
  • What is the exact per-engine add-on price, given the conflict between $59/$109 and $9 figures [114]?
  • Can prompts be redistributed between clients, or must each client pay overages independently [119]?
  • Is the Premium tier $489/month or $989/month, given the conflicting figures in supplied sources [114]?
  • Does Otterly AI provide an SLA or uptime guarantee for agency-grade support [114]?
  • What is the data retention window, and can agencies access 12+ months of historical data for client reports [121]?

Final AI Consensus Verdict

Otterly AI is a mixed fit for White-Label AI Visibility Platforms for Agencies. Six of the seven platforms that evaluated the use case rated it mixed; one rated it strong (grok). Two platforms named it during ranking discovery, at an average listed rank of 7.0 and a best rank of 5.

The case for Otterly AI rests on monitoring depth and agency workflow. Unlimited workspaces and brand reports on Standard and above, competitor and citation tracking, GEO audits rated best-in-class at this price point, pitch workspaces, API and MCP access, and daily report updates together cover most of what an agency needs to run AI visibility programs [122].

The case against rests on one structural gap. Otterly AI states it does not currently offer native white-labeling of its interface, branding, or URLs, and client-facing white-label delivery requires Looker Studio and agency implementation [127]. For a buyer whose hard requirement is a fully rebranded platform, that gap is disqualifying. For a buyer whose requirement is branded client reporting, it is a configuration task.

The recommended purchase path supported by the evidence is Standard for smaller portfolios or Premium for higher prompt volume, followed by Agency Partner application and validation of Looker Studio, API, quota, and client-permission requirements [122]. Buyers should treat the white-label question as the deciding factor and verify it in writing before purchase.

How This Review Was Produced

This review was produced from seven AI-platform fit-research responses collected for the use case "White-Label AI Visibility Platforms for Agencies," with a study research date of 2026-09-19. Each platform independently evaluated Otterly AI against the same criteria: multi-client management, scalable prompt monitoring, competitor comparisons, citation and recommendation tracking, exportable reporting, and white-label or client-facing functionality.

Two of the seven platforms named Otterly AI during ranking discovery. All seven produced fit assessments. Platform fit ratings were: anthropic mixed, deepseek mixed, google mixed, grok strong, kimi mixed, openai mixed, perplexity mixed.

Citations in this review are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in the supplied evidence base. Where a claim rests only on a platform's assertion without a retrieved source, it is labeled platform-reported or unverified.

Methodology Limitations

Several limitations apply to this review.

Thin consensus base. Only two of seven platforms named Otterly AI during ranking discovery, which is the minimum threshold for inclusion. The fit verdict rests on a small number of platform responses.

Conflicting white-label evidence. Otterly AI's help documentation says no native white-label option exists, while its marketplace page advertises a white-labeled GEO report tool and independent reviews describe white-labeled Data Studio reports as an Agency Partner benefit [131]. This review describes the conflict rather than resolving it.

Conflicting multi-client evidence. Otterly AI presents unlimited workspace management as an agency feature, while one independent source states Otterly AI and most other AEO platforms lack multi-client management and require separate subscriptions, logins, and dashboards per client [134].

Conflicting pricing figures. Premium is listed at $489/month in most sources and $989/month in one. Engine add-ons are listed at $59/$109 in one source and from $9/month in another [137].

Platform-reported research dates differ from the study date. Deepseek's research date was 2026-01-15, while the authoritative run research date is 2026-09-19. Platform-reported dates are provenance metadata and do not independently prove freshness.

No independent verification. The supplied URLs were collected from platform responses and were not independently validated. No personal testing, customer experience, or guaranteed performance is claimed in this review.

Vendor-adjacent alternatives. Several alternative-platform comparisons cited in this review come from sources that compete with Otterly AI in the same category.

Company-owned evidence dominates. Of the deduplicated citation sources, company-owned sources outnumber independent sources. Company claims should not be read as independently verified.

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

Sources

Company-Owned Sources

  • AgenticLens for Agencies — White-Label AI Visibility Reports & Monitoring: https://agenticlens.io/agencies
  • White-Label GEO Platform for SEO Agencies (2026) | Ayzeo: https://ayzeo.com/agencies
  • White-Label AI Visibility Platform for Marketing Agencies | ChatReady.io: https://chatready.io/agencies
  • White-Label AI Visibility Platform for Agencies | Geneo: https://geneo.app/agency
  • Georion for Agencies — White-label AI Visibility Platform 2026: https://georion.app/solutions/agencies
  • Can I create custom brand reports?: https://help.otterly.ai/custom-brand-reports
  • Can I generate reports for clients automatically?: https://help.otterly.ai/generate-reports
  • How can I become a partner agency?: https://help.otterly.ai/partner-agency
  • What are the plans and the pricing of OtterlyAI?: https://help.otterly.ai/pricing-of-otterlyai
  • What insights can I get from a prompt detail analysis?: https://help.otterly.ai/prompt-detail-analysis
  • How to find relevant prompts for your brand?: https://help.otterly.ai/relevant-prompts
  • How to set up a brand report and what you can learn from it?: https://help.otterly.ai/set-up-a-brand-report
  • Is there a white-label option?: https://help.otterly.ai/white-label
  • White-Label AI Visibility & GEO Platform for Agencies | LLM Pulse: https://llmpulse.ai/agencies
  • White Label SEO Software for AI Visibility | LLM Pulse: https://llmpulse.ai/whitelabel
  • Otterly.ai AI Search Monitoring: https://otterly.ai
  • Best AI Search Platform for Marketing Agencies | OtterlyAI: https://otterly.ai/agencies
  • Best AI Search Monitoring Tool for Agencies: OtterlyAI Tracks 6 Platforms | OtterlyAI: https://otterly.ai/agencies-ai-search-monitoring
  • New: OtterlyAI Recommendations – From Data to Done in AI Search: https://otterly.ai/blog/otterlyai-recommendations-data-to-done/
  • OtterlyAI Pricing - Transparent & Simple: https://otterly.ai/pricing/
  • White-Label AI Visibility for Agencies | Routeless Radar: https://www.routeless.io/agencies
  • Official pricing and terms source: https://otterly.ai/terms
  • Additional AI research evidence139 records
    1. AI research evidence record anthropic:10-3
    2. AI research evidence record perplexity:c4
    3. AI research evidence record openai:c3
    4. AI research evidence record openai:c1
    5. AI research evidence record openai:c2
    6. AI research evidence record anthropic:13-2
    7. AI research evidence record openai:c9
    8. AI research evidence record perplexity:c1
    9. AI research evidence record openai:c1
    10. AI research evidence record grok:1
    11. AI research evidence record perplexity:c3
    12. AI research evidence record kimi:otterly-standard
    13. AI research evidence record google:1.1.2
    14. AI research evidence record openai:c3
    15. AI research evidence record openai:c9
    16. AI research evidence record perplexity:c1
    17. AI research evidence record anthropic:2-4
    18. AI research evidence record anthropic:14-6
    19. AI research evidence record anthropic:6-3
    20. AI research evidence record openai:c8
    21. AI research evidence record anthropic:8-6
    22. AI research evidence record openai:c1
    23. AI research evidence record openai:c2
    24. AI research evidence record anthropic:13-2
    25. AI research evidence record anthropic:14-3
    26. AI research evidence record openai:c5
    27. AI research evidence record anthropic:22-1
    28. AI research evidence record anthropic:27-10
    29. AI research evidence record anthropic:27-27
    30. AI research evidence record openai:c7
    31. AI research evidence record anthropic:8-7
    32. AI research evidence record openai:c9
    33. AI research evidence record perplexity:c1
    34. AI research evidence record anthropic:3-6
    35. AI research evidence record anthropic:8-6
    36. AI research evidence record anthropic:13-9
    37. AI research evidence record openai:c9
    38. AI research evidence record perplexity:c1
    39. AI research evidence record perplexity:c12
    40. AI research evidence record anthropic:2-4
    41. AI research evidence record anthropic:14-6
    42. AI research evidence record anthropic:6-3
    43. AI research evidence record perplexity:c5
    44. AI research evidence record anthropic:13-9
    45. AI research evidence record kimi:chatready-comp
    46. AI research evidence record anthropic:10-3
    47. AI research evidence record anthropic:11-1
    48. AI research evidence record anthropic:16-1
    49. AI research evidence record anthropic:16-2
    50. AI research evidence record anthropic:18-6
    51. AI research evidence record openai:c1
    52. AI research evidence record grok:1
    53. AI research evidence record perplexity:c3
    54. AI research evidence record kimi:otterly-standard
    55. AI research evidence record google:1.1.2
    56. AI research evidence record grok:3
    57. AI research evidence record perplexity:c13
    58. AI research evidence record anthropic:6-18
    59. AI research evidence record anthropic:8-2
    60. AI research evidence record anthropic:8-3
    61. AI research evidence record anthropic:8-4
    62. AI research evidence record anthropic:27-32
    63. AI research evidence record anthropic:2-5
    64. AI research evidence record anthropic:6-3
    65. AI research evidence record anthropic:3-1
    66. AI research evidence record anthropic:8-5
    67. AI research evidence record google:1.2.5
    68. AI research evidence record openai:c10
    69. AI research evidence record openai:c1
    70. AI research evidence record grok:1
    71. AI research evidence record perplexity:c3
    72. AI research evidence record kimi:otterly-standard
    73. AI research evidence record google:1.1.2
    74. AI research evidence record grok:3
    75. AI research evidence record perplexity:c13
    76. AI research evidence record anthropic:6-14
    77. AI research evidence record anthropic:2-2
    78. AI research evidence record deepseek:c1
    79. AI research evidence record openai:c1
    80. AI research evidence record openai:c8
    81. AI research evidence record anthropic:8-6
    82. AI research evidence record anthropic:14-6
    83. AI research evidence record anthropic:6-18
    84. AI research evidence record anthropic:8-4
    85. AI research evidence record anthropic:27-32
    86. AI research evidence record anthropic:8-2
    87. AI research evidence record anthropic:8-3
    88. AI research evidence record anthropic:2-5
    89. AI research evidence record grok:3
    90. AI research evidence record google:1.1.2
    91. AI research evidence record openai:c9
    92. AI research evidence record perplexity:c1
    93. AI research evidence record anthropic:18-6
    94. AI research evidence record anthropic:3-1
    95. AI research evidence record anthropic:8-5
    96. AI research evidence record anthropic:5-19
    97. AI research evidence record openai:c1
    98. AI research evidence record anthropic:8-4
    99. AI research evidence record anthropic:27-32
    100. AI research evidence record google:1.2.5
    101. AI research evidence record deepseek:c1
    102. AI research evidence record anthropic:18-5
    103. AI research evidence record kimi:geneo-portal
    104. AI research evidence record kimi:llmpulse-whitelabel
    105. AI research evidence record kimi:routeless-agency
    106. AI research evidence record kimi:ayzeo-agencies
    107. AI research evidence record anthropic:18-6
    108. AI research evidence record anthropic:5-19
    109. AI research evidence record anthropic:3-1
    110. AI research evidence record anthropic:8-4
    111. AI research evidence record openai:c3
    112. AI research evidence record openai:c9
    113. AI research evidence record openai:c8
    114. AI research evidence record openai:c1
    115. AI research evidence record perplexity:c3
    116. AI research evidence record openai:c2
    117. AI research evidence record openai:c4
    118. AI research evidence record grok:1
    119. AI research evidence record anthropic:6-14
    120. AI research evidence record anthropic:2-3
    121. AI research evidence record openai:c10
    122. AI research evidence record openai:c1
    123. AI research evidence record openai:c2
    124. AI research evidence record anthropic:8-3
    125. AI research evidence record anthropic:2-5
    126. AI research evidence record anthropic:8-7
    127. AI research evidence record openai:c9
    128. AI research evidence record openai:c8
    129. AI research evidence record anthropic:8-6
    130. AI research evidence record openai:c3
    131. AI research evidence record openai:c9
    132. AI research evidence record perplexity:c12
    133. AI research evidence record anthropic:2-4
    134. AI research evidence record anthropic:10-3
    135. AI research evidence record anthropic:16-1
    136. AI research evidence record anthropic:16-2
    137. AI research evidence record openai:c1
    138. AI research evidence record anthropic:2-3
    139. AI research evidence record grok:1

Independent Sources

  • Otterly.ai Review 2026: Pricing, GEO Features & Who It's For: https://aiagentsquare.com/agents/otterly-ai
  • Otterly AI Alternatives 2026: Why Most Teams Switch to AI Rank Lab: https://airanklab.com/otterly-ai-alternatives
  • Otterly.ai Review (2026): Worth It?: https://aitoolsbakery.com/blog/otterly-ai-review/
  • White-Label AI Visibility Platform for Agencies (2026 Guide: https://ayzeo.com/blog/white-label-ai-visibility-platform-for-agencies
  • Otterly.ai Review (2026): Cheapest Self-Serve AI Visibility Tool?: https://citedaily.com/reviews/otterly-ai
  • Otterly.ai vs. LLM Pulse: Comparing AI Visibility Tracking: https://llmpulse.ai/blog/otterly-ai-vs-llm-pulse/
  • AEO Platforms with Multi-Client Management for Agencies: https://loudmink.ai/blog/aeo-platforms-with-multi-client-management
  • Otterly AI review 2026: features, pricing, and who it's for - SE Visible: https://sevisible.com/otterly-ai-review
  • Otterly.AI Pricing 2026: $29 Lite to Custom Enterprise: https://thatmarketingbuddy.com/pricing/otterly-ai
  • Otterly for Agencies: Workspaces, Reporting and Pricing: https://trakkr.ai/reviews/otterly-review/agency
  • Otterly AI Pricing 2026: Plans, Add-Ons & a $100 Option: https://trakkr.ai/reviews/otterly-review/pricing
  • Otterly AI review 2026: features, pricing, and who it's for: https://visible.seranking.com/blog/otterly-ai-review/
  • Otterly AI Review (2026): Pricing, Features, and Is It Worth It?: https://www.aipeekaboo.com/blog/otterly-ai-review
  • Otterly AI Alternatives 2026: Why Teams Switch to AI Rank La: https://www.airanklab.com/blog/best-otterly-ai-alternatives
  • Otterly.ai Review 2026: Features, Pricing, and Who It's Really Built For | Am I Cited: https://www.amicited.com/reviews/otterly-ai-review/
  • 7 best AI visibility tracking tools for agencies by need: https://www.semrush.com/blog/ai-visibility-tracking-tools-for-agencies/
  • Otterly.AI Software Reviews, Demo & Pricing - 2026: https://www.softwareadvice.com/product/522152-Otterly-AI/
  • Otterly.ai Review: AI Search Visibility Monitoring (2026: https://www.stackmatix.com/blog/otterly-ai-review
  • Otterly AI Pricing: Features, Reviews and Alternative | ZeroRank: https://zerorank.ai/blog/otterly-ai-pricing-review
  • Otterly AI Pricing: Features, Reviews and Alternative | ZeroRank: https://zerorank.ai/otterly-ai-pricing
  • Additional AI research evidence139 records
    1. AI research evidence record anthropic:10-3
    2. AI research evidence record perplexity:c4
    3. AI research evidence record openai:c3
    4. AI research evidence record openai:c1
    5. AI research evidence record openai:c2
    6. AI research evidence record anthropic:13-2
    7. AI research evidence record openai:c9
    8. AI research evidence record perplexity:c1
    9. AI research evidence record openai:c1
    10. AI research evidence record grok:1
    11. AI research evidence record perplexity:c3
    12. AI research evidence record kimi:otterly-standard
    13. AI research evidence record google:1.1.2
    14. AI research evidence record openai:c3
    15. AI research evidence record openai:c9
    16. AI research evidence record perplexity:c1
    17. AI research evidence record anthropic:2-4
    18. AI research evidence record anthropic:14-6
    19. AI research evidence record anthropic:6-3
    20. AI research evidence record openai:c8
    21. AI research evidence record anthropic:8-6
    22. AI research evidence record openai:c1
    23. AI research evidence record openai:c2
    24. AI research evidence record anthropic:13-2
    25. AI research evidence record anthropic:14-3
    26. AI research evidence record openai:c5
    27. AI research evidence record anthropic:22-1
    28. AI research evidence record anthropic:27-10
    29. AI research evidence record anthropic:27-27
    30. AI research evidence record openai:c7
    31. AI research evidence record anthropic:8-7
    32. AI research evidence record openai:c9
    33. AI research evidence record perplexity:c1
    34. AI research evidence record anthropic:3-6
    35. AI research evidence record anthropic:8-6
    36. AI research evidence record anthropic:13-9
    37. AI research evidence record openai:c9
    38. AI research evidence record perplexity:c1
    39. AI research evidence record perplexity:c12
    40. AI research evidence record anthropic:2-4
    41. AI research evidence record anthropic:14-6
    42. AI research evidence record anthropic:6-3
    43. AI research evidence record perplexity:c5
    44. AI research evidence record anthropic:13-9
    45. AI research evidence record kimi:chatready-comp
    46. AI research evidence record anthropic:10-3
    47. AI research evidence record anthropic:11-1
    48. AI research evidence record anthropic:16-1
    49. AI research evidence record anthropic:16-2
    50. AI research evidence record anthropic:18-6
    51. AI research evidence record openai:c1
    52. AI research evidence record grok:1
    53. AI research evidence record perplexity:c3
    54. AI research evidence record kimi:otterly-standard
    55. AI research evidence record google:1.1.2
    56. AI research evidence record grok:3
    57. AI research evidence record perplexity:c13
    58. AI research evidence record anthropic:6-18
    59. AI research evidence record anthropic:8-2
    60. AI research evidence record anthropic:8-3
    61. AI research evidence record anthropic:8-4
    62. AI research evidence record anthropic:27-32
    63. AI research evidence record anthropic:2-5
    64. AI research evidence record anthropic:6-3
    65. AI research evidence record anthropic:3-1
    66. AI research evidence record anthropic:8-5
    67. AI research evidence record google:1.2.5
    68. AI research evidence record openai:c10
    69. AI research evidence record openai:c1
    70. AI research evidence record grok:1
    71. AI research evidence record perplexity:c3
    72. AI research evidence record kimi:otterly-standard
    73. AI research evidence record google:1.1.2
    74. AI research evidence record grok:3
    75. AI research evidence record perplexity:c13
    76. AI research evidence record anthropic:6-14
    77. AI research evidence record anthropic:2-2
    78. AI research evidence record deepseek:c1
    79. AI research evidence record openai:c1
    80. AI research evidence record openai:c8
    81. AI research evidence record anthropic:8-6
    82. AI research evidence record anthropic:14-6
    83. AI research evidence record anthropic:6-18
    84. AI research evidence record anthropic:8-4
    85. AI research evidence record anthropic:27-32
    86. AI research evidence record anthropic:8-2
    87. AI research evidence record anthropic:8-3
    88. AI research evidence record anthropic:2-5
    89. AI research evidence record grok:3
    90. AI research evidence record google:1.1.2
    91. AI research evidence record openai:c9
    92. AI research evidence record perplexity:c1
    93. AI research evidence record anthropic:18-6
    94. AI research evidence record anthropic:3-1
    95. AI research evidence record anthropic:8-5
    96. AI research evidence record anthropic:5-19
    97. AI research evidence record openai:c1
    98. AI research evidence record anthropic:8-4
    99. AI research evidence record anthropic:27-32
    100. AI research evidence record google:1.2.5
    101. AI research evidence record deepseek:c1
    102. AI research evidence record anthropic:18-5
    103. AI research evidence record kimi:geneo-portal
    104. AI research evidence record kimi:llmpulse-whitelabel
    105. AI research evidence record kimi:routeless-agency
    106. AI research evidence record kimi:ayzeo-agencies
    107. AI research evidence record anthropic:18-6
    108. AI research evidence record anthropic:5-19
    109. AI research evidence record anthropic:3-1
    110. AI research evidence record anthropic:8-4
    111. AI research evidence record openai:c3
    112. AI research evidence record openai:c9
    113. AI research evidence record openai:c8
    114. AI research evidence record openai:c1
    115. AI research evidence record perplexity:c3
    116. AI research evidence record openai:c2
    117. AI research evidence record openai:c4
    118. AI research evidence record grok:1
    119. AI research evidence record anthropic:6-14
    120. AI research evidence record anthropic:2-3
    121. AI research evidence record openai:c10
    122. AI research evidence record openai:c1
    123. AI research evidence record openai:c2
    124. AI research evidence record anthropic:8-3
    125. AI research evidence record anthropic:2-5
    126. AI research evidence record anthropic:8-7
    127. AI research evidence record openai:c9
    128. AI research evidence record openai:c8
    129. AI research evidence record anthropic:8-6
    130. AI research evidence record openai:c3
    131. AI research evidence record openai:c9
    132. AI research evidence record perplexity:c12
    133. AI research evidence record anthropic:2-4
    134. AI research evidence record anthropic:10-3
    135. AI research evidence record anthropic:16-1
    136. AI research evidence record anthropic:16-2
    137. AI research evidence record openai:c1
    138. AI research evidence record anthropic:2-3
    139. AI research evidence record grok:1

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
45
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#9

Research trail and source mix

Configured platforms

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

Source mix

20 independent · 25 company-owned

Evidence support

35 direct · 10 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 76e7c9623fa9fbc295525a5bb758c6e0794bc4ca6d3375f324b4cd3754975e16