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AI Consensus Fit Review

Ayzeo AI Visibility Platform Fit Review for Agencies

Ayzeo is a qualified fit for U.S.

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

Answer Capsule

Ayzeo is a qualified fit for U.S. agencies running multi-client AI visibility programs, not a fully validated one. Two of seven platforms named Ayzeo during the ranking stage — OpenAI and Perplexity — and it finished sixth overall. The strongest reason to consider it is the agency-first structure: per-client projects, white-label PDF reports included on Pro at $149/month, unlimited team seats, and an optional $299/month branded dashboard. The main limitation is that ChatGPT and Google AI Overview are the only engines included at base; Claude, Perplexity, Gemini, Grok, and DeepSeek each cost $29/month per engine per project, and independent evidence on measurement quality is thin.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (openai, perplexity)
Share of included platform responses28.6%
Average listed rank4.0
Best listed rank1 (perplexity)
Relevant product/model/planAyzeo Pro with the White-Label Dashboard add-on
Overall use-case fitGood, with caveats (openai, anthropic, perplexity); strong (google, grok); uncertain (deepseek, kimi)
Research date2026-09-19

Why Ayzeo Qualified for This Study

Questions This Section Answers

  • Why did only two AI platforms name Ayzeo for agency AI visibility work?
  • Is Ayzeo a legitimate contender for agencies, or a marginal mention?

Ayzeo qualified because two of the seven platforms in this study named it during ranking discovery, and both pointed to the same product configuration: Ayzeo Pro with the White-Label Dashboard add-on. Perplexity ranked it first; OpenAI ranked it seventh. That split is the defining fact of this review — one platform treated Ayzeo as the top agency pick, another placed it near the bottom of its list.

The remaining five platforms evaluated Ayzeo's fit but did not name it in their rankings. That is not evidence of disagreement; it means the entity did not surface in their ranking stage. Fit ratings across all seven platforms ranged from "strong" (google, grok) to "good" (openai, anthropic, perplexity) to "uncertain" (deepseek, kimi).

Ayzeo's own agency page describes a platform built specifically for SEO agencies, digital marketing agencies, and freelance consultants, tracking client brands across ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity, DeepSeek, and Grok (official:C1). Independent coverage is much thinner. One independent review site describes Ayzeo as designed specifically for digital marketing agencies and built from the ground up for multi-client workflows [1], and another independent review notes that reporting functionality is particularly strong, especially white-label PDF reports [2]. A third independent directory lists Ayzeo among the best white-label AI visibility platforms for SEO agencies [3].

The consensus index for this category is AI Visibility Platforms for Agencies, which ranks all finalists on the same criteria.

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

Questions This Section Answers

  • Which Ayzeo plan should an agency buy for multi-client AI visibility reporting?
  • Is the White-Label Dashboard add-on required, or are white-label PDF reports enough?

The relevant offer is Ayzeo Pro at $149/month, covering three client projects, with the White-Label Dashboard add-on at $299/month if client-facing dashboard branding is required [4]. Every platform that named Ayzeo pointed to this same configuration.

Pro includes three client projects, 40 monitored AI prompts per project, unlimited team members per project, white-label PDF reports, Google Analytics integration, and Google AI Overview tracking (official:C2). Each additional client project costs $49/month [7]. Ayzeo states there is no separate agency SKU — agencies use the standard Pro plan (official:C3).

The White-Label Dashboard add-on applies agency logo and accent color to the dashboard clients log into, but the dashboard remains on ayzeo.com and notification emails retain Ayzeo branding [9]. White-label PDF reports are separate and remain included in Pro whether or not the dashboard add-on is purchased [11].

Starter at $39/month covers one project and 20 prompts but does not include white-label reports (official:C2). Enterprise starts from $6,000/month and adds custom domains, self-hosting, API access, and full platform white-labeling [12].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Ayzeo does well for agencies?
  • Is Ayzeo's white-label reporting genuinely included at the base agency tier?

Agreement was strongest on three points: per-client project structure, white-label PDF reporting included in Pro, and unlimited team seats.

On multi-client workspaces, platforms converged. Ayzeo structures agency work around separate client projects with independent domains, prompts, competitors, branding, and team access [14]. Each client operates as an independent project with its own domain, prompts, competitors, and role-based team access [16]. Role-based permissions include Owner, Admin, Editor, and Viewer [18].

On white-label reporting, the agreement was unanimous among platforms that addressed it. White-label PDF reports are included in Pro at no extra cost, with agency logo, colors, and contact details and no Ayzeo branding [19]. Reports consolidate visibility scores, citation rates, URL visit rates, mention frequency, sentiment analysis, average mention position, and composite scores [22]. Independent branding settings are supported per project so agencies can customize cover-to-footer branding in automated monthly reports [23].

On seats, platforms agreed that Ayzeo charges per client project rather than per seat, with unlimited team members on every paid plan [24]. Ayzeo states clients can be invited as read-only viewers without changing the bill (official:C3).

On competitor benchmarking and citation analysis, platforms described these as standard rather than add-on features. Ayzeo includes competitor benchmarking and citation monitoring as standard features on all plans [26]. Industry ranking tables compare citation rates, mention positions, and frequency against competitors [28].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do AI platforms disagree about Ayzeo's fit for agencies?
  • Is Ayzeo's pricing and feature set independently verified?

The sharpest disagreement was about verifiability, not features. Kimi reported that no public source at ayzeo.com/agencies or broader web confirmed the Pro configuration, pricing, or feature set as of the research date, and that its search results focused entirely on competing platforms [29]. DeepSeek, which ran without search enabled, reported no verifiable published pricing and rated fit uncertain [30]. Both platforms recommended direct vendor validation before purchase.

Pricing conflicts exist across sources. Capterra lists outdated figures ($15/month Premium, $150/month Business) that contradict Ayzeo's own pricing page ($39/month Starter, $149/month Pro) [31]. A Capterra listing reports different starting-price figures than Ayzeo's official pages, so third-party pricing should be treated as unverified [32].

Trial length is also inconsistent. Ayzeo's pricing page states a 14-day Pro trial with no charge until day 15 (official:C2), while some independent directories list a 7-day trial [33]. Anthropic reported a 7-day Pro trial with no charge if canceled before day 8 [34].

Enterprise project limits are unclear. Ayzeo materials describe Enterprise as supporting 300-plus projects or unlimited projects in different contexts [35]. The exact Enterprise project limit is not consistently stated.

Historical data retention is unresolved. The available pages do not clearly confirm historical-data retention, export depth, or lookback limits for agency reporting [36]. Anthropic noted that the specific data retention window is not documented in public sources.

Recommendation analysis is also ambiguous. Ayzeo reports citation rates, URL visit rates, mentions, sentiment, and competitor benchmarks, but the public materials do not clearly document a distinct recommendation-analysis workflow beyond these visibility and citation metrics [37].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Ayzeo cover all the AI engines an agency's clients need, and at what cost?
  • How many prompts and client projects does Ayzeo Pro include before add-ons kick in?

Ayzeo's agency fit rests on project isolation, prompt tracking, competitor benchmarking, citation analysis, reporting, and branding. Coverage varies by criterion.

Multi-client workspaces. Advantage. Each client gets an isolated project with its own domain, prompts, competitors, tracking history, and team access [38]. Pro includes three projects; additional projects cost $49/month each [40].

Prompt tracking scalability. Neutral. Pro includes 40 monitored AI prompts per project [41]. Prompt Packs add 10 prompts per project for $15/month per pack and are stackable and allocated per project [41]. Enterprise prompt limits are customized per account, typically 300-plus [42].

AI-engine coverage. Neutral to limiting. ChatGPT and Google AI Overview are included in every plan (official:C2). Claude, Perplexity, Gemini, Grok, and DeepSeek require per-project add-ons at $29/month per engine per project [43]. For one client tracking all five additional engines, that is $145/month in add-ons alone [43].

Citation, recommendation, and competitor analysis. Advantage with a caveat. Ayzeo tracks visibility, citations, mentions, and sentiment separately per AI engine, with a model selector in the Citation Analytics dashboard [44]. Competitor benchmarking and citation monitoring are standard on all plans [45]. The caveat: no distinct recommendation-share metric is clearly documented [47].

Reporting and historical data. Advantage. Pro includes branded PDF reports with executive summaries, visibility metrics, citation trends, competitor benchmarks, prompt-level breakdowns, and 30-day trend charts [48]. Automated monthly report generation and delivery are described by Ayzeo [48]. Two report templates are available per client: classic or an Enhanced template with deeper AI insights and full prompt answers (official:C1).

Agency branding and client access. Advantage with a limitation. Pro includes white-label PDF reports and unlimited team seats [49]. The $299/month White-Label Dashboard add-on applies agency logo and accent color to the dashboard, but the dashboard remains on ayzeo.com and notification emails retain Ayzeo branding [51].

Integrations and extensibility. Limitation. Pro includes Google Analytics and Google Search Console integrations and an MCP server for supported AI clients [53]. Full API access, custom integrations, custom domains, and self-hosting are Enterprise capabilities rather than Pro capabilities [53].

Optimization tooling. Advantage. Ayzeo combines monitoring with JSON-LD schema generation, LLMs.txt generation, AI-optimized content generation, and a WordPress plugin [56]. Content execution remains remedial rather than autonomous — agencies still manage manual implementation [56].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Ayzeo Pro cost per month, and what do engine and prompt add-ons add?
  • What are Ayzeo's cancellation, refund, and trial terms for agencies?

Ayzeo Pro is listed at $149/month for three client projects, with each additional project at $49/month [58]. Annual billing is advertised as saving 20%: Pro at $1,430/year, equivalent to about $119/month [61].

Add-on costs stack per project:

ItemCostNotes
Pro plan$149/month3 client projects, 40 prompts each
Additional client project$49/monthWhite-label reports included
White-Label Dashboard$299/month ($2,870/year)Applies to whole subscription; included with Enterprise
Prompt Pack$15/month per pack+10 prompts per project, stackable
AI engine add-on$29/month per engine per projectClaude, Perplexity, Gemini, Grok; DeepSeek on request
EnterpriseFrom $6,000/monthCustom domains, self-hosting, API, unlimited clients

Ayzeo publishes a worked example: a 10-client agency pays $492/month, about $49 per client, with white-label PDF reports and unlimited seats included (official:C3). Ayzeo also states that agencies typically charge $500 to $1,500 per client per month for AI visibility retainers [62].

Contract and cancellation terms are only partly published. Ayzeo advertises a 14-day Pro trial with a credit card required upfront and no charge until day 15 [58]. Paid subscriptions have limited refunds within seven days of purchase only for technical failure or inability to perform as advertised [63]. Upgrades and added projects are prorated automatically [58]. Exact cancellation notice requirements and data-export or deletion terms were not clearly verified [58].

Pricing confidence varies by platform: high for anthropic, grok, google, and perplexity; moderate for openai and perplexity's cross-source comparison; low for deepseek and kimi, which found no verifiable published pricing.

Best Suited For

Questions This Section Answers

  • Is Ayzeo a good choice for a small or midsize agency managing 3 to 20 clients?
  • Which agencies get the most value from Ayzeo's white-label reporting?

Ayzeo is best suited to small and midsize U.S. agencies managing roughly 3 to 20 client projects that need a repeatable reporting workflow [64]. The per-client cost structure keeps economics favorable as client count grows: about $50 per client at three clients and about $49 per client at 10 and 20 clients (official:C3).

It fits agencies that prioritize white-label PDF reports and optional branded client-dashboard access [66]. It also fits teams that mainly need ChatGPT and Google AI Overview monitoring, with selective paid coverage of additional engines [64].

Platforms also flagged fit for SEO agencies upselling GEO to existing retainers, freelancers and solo consultants starting AI visibility services, and teams wanting both monitoring and actionable optimization tools in one platform [65]. Google rated Ayzeo a strong fit for agencies wanting flat-rate per-project pricing with unlimited user seats instead of escalating per-seat costs [69].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Ayzeo for agency AI visibility work?
  • What agency situations make Ayzeo's add-on costs unworkable?

Ayzeo is probably not best for large agencies needing 300-plus projects, API access, custom domains, self-hosting, or enterprise service levels [70]. Those capabilities sit behind the Enterprise tier from $6,000/month [71].

It is also a weaker fit for agencies requiring extensive prompt coverage across every client without recurring prompt-pack charges [70]. Pro's 40 prompts per project may be modest for complex enterprise or multi-location programs [70].

Agencies needing all major AI engines included at base pricing should look elsewhere. ChatGPT and Google AI Overview are the only engines included; Claude, Perplexity, Gemini, Grok, and DeepSeek each cost $29/month per engine per project [72]. Grok specifically flagged agencies requiring all major AI engines in base pricing as probably not best suited [73].

Buyers seeking independently validated performance evidence rather than primarily vendor-reported capabilities should also be cautious [70]. No independent source was found validating Ayzeo's tracking accuracy, historical-data retention, sampling methodology, or customer-reported outcomes [70].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Ayzeo for an agency that needs all engines included at base pricing?
  • When should an agency choose an enterprise platform or a cheaper entry tool instead of Ayzeo?

Several platforms named specific alternatives and the conditions that favor them.

If the agency needs all AI engines included on the base plan without per-model costs, Scrunch AI includes all seven engines on every plan, and LLM Pulse offers unlimited seats and broad engine coverage at a lower price [74]. Kimi listed additional alternatives with published specs: Peec for unlimited client workspaces and unlimited seats with no per-seat fees [75]; SE Visible for lowest entry cost at $99/month with 3 projects and 5 engines [76]; Appearly for bundled GEO audits with code fixes and white-label reports from $49 to $449/month [77]; Mentionable for 7-engine coverage with credit-based agency pricing at €299/month [78]; Truffle for high volume at $399/month covering 15 brands [79]; VisibAI for per-client resell economics at €49/month per client [80]; and Gumshoe for consumption-based pricing at $0.20 per conversation with no subscription [81].

If full white-label custom domain is non-negotiable and budget is under $6,000/month, other platforms gate full white-labeling to lower tiers or include it on standard plans [82]. If the agency needs headless API access to embed AI visibility into custom BI dashboards, DeepSmith and Profound offer API-first access, while Ayzeo's API is Enterprise-only [83]. If the agency requires a comprehensive traditional SEO suite alongside AI visibility, Semrush bundles AI visibility with a full SEO toolkit in a unified platform [74].

If the buyer is a very small freelancer validating AI visibility demand at minimal cost, Otterly.ai at $29/month is a cheaper entry point [74]. If the agency manages 50-plus clients with heterogeneous engine needs, enterprise platforms with account-level engine configurations may be simpler than per-project add-ons [74].

The broader category directory at ai visibility llm monitoring lists the full field of platforms evaluated for this use case.

Questions to Verify Before Buying

Questions This Section Answers

  • What should an agency confirm with Ayzeo before signing a contract?
  • Which Ayzeo limits and terms are undocumented and need written confirmation?

Platforms converged on a similar verification list. Before committing, agencies should confirm:

  • Are prompt limits, refresh frequency, geographic localization, and historical retention sufficient for each client program [84]?
  • Are all desired AI engines available in the target U.S. markets, and what is the exact per-project add-on cost at the agency's scale [84]?
  • Does the dashboard add-on support client-specific branding, custom domains, role restrictions, and client-level isolation [84]?
  • Can the agency export raw prompt, citation, competitor, and historical data through API or bulk export on Pro [84]?
  • What happens to client data, reports, branding settings, and historical records after cancellation [84]?
  • What uptime, support response, data-processing, and security commitments apply to Pro versus Enterprise [84]?
  • How are AI responses sampled, refreshed, deduplicated, and scored for visibility, citations, sentiment, and competitor comparisons [84]?
  • How far back does historical data and trend analysis extend — can agencies access 12-month rolling trends [85]?
  • Does the Pro plan's GA4 integration enable bidirectional sync, or only one-way read access [86]?
  • Does the platform enforce rate limits on prompts, API calls, or report exports that could constrain agency operations at scale [87]?
  • Can agencies add or remove competitors dynamically without support tickets [85]?
  • Is there a published SLA for uptime, data accuracy, and prompt execution consistency [87]?
  • What is the exact list price of Ayzeo Pro and the White-Label Dashboard add-on, and are there per-client or usage-based fees [88]?
  • What are the contract length, renewal, and cancellation terms [88]?
  • Can the vendor provide references from comparable agencies in the United States [88]?
  • Confirm current engine coverage and add-on pricing for specific client needs [89].
  • Verify exact historical data retention periods and export options [89].
  • Test the White-Label Dashboard add-on setup and client invitation flow [90].
  • Clarify the cancellation policy and data export on downgrade [89].
  • Does Pro include all required client workspaces, or are projects the only separation mechanism [91]?
  • Is the White-Label Dashboard add-on necessary if white-label PDF reports are already included in Pro [92]?
  • Are there setup fees, overage fees, or required annual commitments for agencies [91]?
  • Are there volume discounts or custom agency packages for the $29/month per-engine add-ons when managing multiple client projects [93]?
  • Does the "unlimited team seats" policy also apply to inviting external clients to log directly into the White-Label Dashboard portal [94]?
  • Are there limits on how frequently automated monthly white-label PDF reports can be scheduled and dispatched to client contacts [95]?
  • Confirm exact Pro plan pricing and White-Label Dashboard add-on cost; ask whether pricing is per-seat, per-client, or consumption-based [96].
  • Request a demonstration of multi-client workspace isolation, user permissioning, and data segregation [96].
  • Clarify citation tracking capabilities: source attribution, decay alerts, and whether actual cited pages are fetched [96].
  • Verify export options (CSV, JSON, API) and third-party BI integrations [96].
  • Request a sample white-label report and dashboard to assess branding flexibility [96].

Final AI Consensus Verdict

Ayzeo is a good fit for agencies seeking an agency-oriented AI visibility product with multi-client projects, branded reports, optional branded dashboard access, and predictable small-agency pricing [97]. Google and Grok rated it strong; OpenAI, Anthropic, and Perplexity rated it good; DeepSeek and Kimi rated it uncertain because they could not verify pricing or capabilities from public sources [100].

Treat it as a qualified rather than fully validated choice. Higher-scale monitoring becomes add-on-heavy, core enterprise capabilities are restricted to Enterprise, and independent evidence on measurement quality is limited [97]. Company-owned citations materially outnumber independent citations in this study, so vendor claims should not be read as independently verified.

The practical decision rule: if the agency manages roughly 3 to 20 clients, needs branded PDF reporting, and can live with ChatGPT and Google AI Overview at base, Ayzeo Pro is a reasonable buy. If the agency needs broad engine coverage at low cost, API-driven automation, custom domains, self-hosting, or enterprise-scale governance, another option is likely better.

How This Review Was Produced

This review evaluates Ayzeo only for the AI Visibility Platforms for Agencies use case. It is not a broad company review. Seven AI platforms were asked which AI visibility platforms they would recommend for agencies needing multi-client workspaces, scalable prompt tracking, competitor benchmarking, citation and recommendation analysis, reporting, historical data, and white-label or agency-friendly capabilities. Two platforms named Ayzeo during ranking discovery; all seven evaluated its fit. Fit ratings, pricing details, feature findings, and verification questions were compiled from platform responses and their cited sources. No personal testing, customer interviews, or independent verification of Ayzeo's performance was conducted.

Methodology Limitations

Several limitations apply. Company-owned citations materially outnumber independent citations in this study, so most capability and pricing claims rest on Ayzeo's own materials rather than independent verification. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Platform-reported research dates differ from the authoritative run date of 2026-09-19. DeepSeek's research date was 2026-01-15, and DeepSeek ran without search enabled, so its findings reflect a different and older evidence base. Platform-reported dates are provenance metadata and do not independently prove freshness.

Pricing conflicts were not resolved by guessing. Capterra lists outdated figures that contradict Ayzeo's official pricing page, and third-party pricing should be treated as unverified. Trial length is reported as both 7 days and 14 days across sources. Enterprise project limits are described inconsistently as 300-plus and unlimited.

Historical data retention, cancellation notice requirements, data portability, and service-level commitments for Pro were not clearly published in the reviewed sources. No independent source was found validating Ayzeo's tracking accuracy, historical-data retention, sampling methodology, or customer-reported outcomes. Platform agreement on features does not prove product quality.

Sources

Company-Owned Sources

Independent Sources

  • Ayzeo Review 2026: Checking out the AI Visibility Analytics & GEO Platform - Anyleads: https://anyleads.com/ayzeo-review-2026-checking-out-the-ai-visibility-analytics-and-geo-platform
  • 10 Best White-Label AI Visibility Platforms for SEO Agencies: https://indexly.ai/blog/10-best-white-label-ai-visibility-platforms-for-seo-agencies/
  • Ayzeo Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10033788/Ayzeo/
  • Additional AI research evidence102 records
    1. AI research evidence record anthropic:8-3
    2. AI research evidence record anthropic:35-1
    3. AI research evidence record google:1.2.5
    4. AI research evidence record openai:c1
    5. AI research evidence record anthropic:3-4
    6. AI research evidence record perplexity:1
    7. AI research evidence record anthropic:33-3
    8. AI research evidence record grok:web:1
    9. AI research evidence record openai:c6
    10. AI research evidence record anthropic:12-1
    11. AI research evidence record perplexity:5
    12. AI research evidence record anthropic:14-3
    13. AI research evidence record openai:c4
    14. AI research evidence record openai:c3
    15. AI research evidence record openai:c7
    16. AI research evidence record anthropic:8-5
    17. AI research evidence record anthropic:15-3
    18. AI research evidence record anthropic:15-10
    19. AI research evidence record anthropic:2-8
    20. AI research evidence record grok:web:4
    21. AI research evidence record perplexity:4
    22. AI research evidence record anthropic:17-10
    23. AI research evidence record google:1.2.3
    24. AI research evidence record perplexity:1
    25. AI research evidence record google:1.2.2
    26. AI research evidence record anthropic:1-2
    27. AI research evidence record anthropic:2-17
    28. AI research evidence record grok:web:0
    29. AI research evidence record kimi:ayzeo_checked
    30. AI research evidence record deepseek:c1
    31. AI research evidence record anthropic:1-2
    32. AI research evidence record perplexity:15
    33. AI research evidence record google:1.1.7
    34. AI research evidence record anthropic:29-15
    35. AI research evidence record openai:c1
    36. AI research evidence record perplexity:13
    37. AI research evidence record openai:c8
    38. AI research evidence record anthropic:31-18
    39. AI research evidence record anthropic:15-3
    40. AI research evidence record anthropic:33-3
    41. AI research evidence record anthropic:31-4
    42. AI research evidence record anthropic:36-1
    43. AI research evidence record anthropic:30-7
    44. AI research evidence record anthropic:21-3
    45. AI research evidence record anthropic:1-2
    46. AI research evidence record anthropic:2-17
    47. AI research evidence record openai:c8
    48. AI research evidence record openai:c5
    49. AI research evidence record anthropic:2-8
    50. AI research evidence record anthropic:3-4
    51. AI research evidence record openai:c6
    52. AI research evidence record anthropic:12-1
    53. AI research evidence record openai:c4
    54. AI research evidence record anthropic:16-5
    55. AI research evidence record anthropic:14-3
    56. AI research evidence record anthropic:26-6
    57. AI research evidence record anthropic:12-9
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:3-4
    60. AI research evidence record perplexity:1
    61. AI research evidence record perplexity:2
    62. AI research evidence record anthropic:2-1
    63. AI research evidence record anthropic:29-15
    64. AI research evidence record openai:c1
    65. AI research evidence record anthropic:3-1
    66. AI research evidence record anthropic:2-8
    67. AI research evidence record grok:web:4
    68. AI research evidence record anthropic:12-9
    69. AI research evidence record google:1.2.2
    70. AI research evidence record openai:c1
    71. AI research evidence record anthropic:14-3
    72. AI research evidence record anthropic:30-7
    73. AI research evidence record grok:web:0
    74. AI research evidence record anthropic:30-7
    75. AI research evidence record kimi:peec_agency
    76. AI research evidence record kimi:visible_agency
    77. AI research evidence record kimi:appearly_agency
    78. AI research evidence record kimi:mentionable_agency
    79. AI research evidence record kimi:truffle_agency
    80. AI research evidence record kimi:visibai_agency
    81. AI research evidence record kimi:gumshoe_agency
    82. AI research evidence record anthropic:14-3
    83. AI research evidence record openai:c4
    84. AI research evidence record openai:c1
    85. AI research evidence record anthropic:21-5
    86. AI research evidence record anthropic:22-8
    87. AI research evidence record anthropic:21-4
    88. AI research evidence record deepseek:c1
    89. AI research evidence record grok:web:1
    90. AI research evidence record grok:web:0
    91. AI research evidence record perplexity:1
    92. AI research evidence record perplexity:5
    93. AI research evidence record google:1.2.1
    94. AI research evidence record google:1.2.2
    95. AI research evidence record google:1.2.3
    96. AI research evidence record kimi:ayzeo_checked
    97. AI research evidence record openai:c1
    98. AI research evidence record anthropic:3-1
    99. AI research evidence record perplexity:1
    100. AI research evidence record deepseek:c1
    101. AI research evidence record kimi:ayzeo_checked
    102. AI research evidence record anthropic:14-3

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
34
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#6

Research trail and source mix

Configured platforms

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

Source mix

6 independent · 28 company-owned

Evidence support

31 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 0f1dcbc080d94f81e0c4a8ae0903bd97312b3ae91c699e45e84c14bc880d6e76