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Trakkr White-Label AI Visibility Platform Fit Review for Agencies

Trakkr is a good fit for agencies that want a self-serve, white-label AI visibility platform with branded client portals, multi-brand grouping, competitor and citation tracking, and exportable reporting.

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

Answer Capsule

Trakkr is a good fit for agencies that want a self-serve, white-label AI visibility platform with branded client portals, multi-brand grouping, competitor and citation tracking, and exportable reporting. Two of the seven platforms in this study named Trakkr during the ranking stage (grok, perplexity), at an average listed rank of 3.5 and a best rank of 3. The strongest reason to consider it is that white-label client portals, custom domains, branded emails, and unlimited team seats are packaged into the Scale plan rather than sold as a separate enterprise product [1]. The main limitation is that public pricing and white-label fee terms conflict across Trakkr's own pages and third-party coverage, so the true US agency cost is unclear before vendor confirmation [3].

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (grok, perplexity)
Share of included platform responses28.6%
Average listed rank3.5
Best listed rank3
Relevant product/model/planTrakkr for Agencies; Scale plan with white-label client portals
Overall use-case fitGood
Research date2026-09-19

Why Trakkr Qualified for This Study

Questions This Section Answers

  • Is Trakkr a good choice for white-label AI visibility reporting that an agency can resell under its own brand?
  • How many AI platforms named Trakkr when asked to recommend white-label AI visibility platforms for agencies?

Trakkr qualified because it was named by two of the seven platforms during ranking discovery and because its agency offering maps directly onto the study's category criteria: multi-client management, scalable prompt monitoring, competitor comparisons, citation and recommendation tracking, exportable reporting, and white-label or client-facing functionality [6].

Platform fit ratings for this use case were mixed but mostly positive: anthropic, google, and grok rated Trakkr a strong fit; openai, deepseek, kimi, and perplexity rated it a good fit. No platform rated it a poor fit. That distribution matters because it shows the disagreement is about degree and about unresolved commercial details, not about whether Trakkr belongs in the category at all.

The qualification is not the same as proof of quality. Most of the evidence behind these ratings is Trakkr-owned marketing and pricing material. Independent sources exist — ReachLLM, LLM Pulse, FP Growth, Am I Cited, CiteTrackAI, Agentic SEO Tools, AI Search Visibility Tools, and KnitKnot — but they are outnumbered by company-owned pages, and several of them repeat or question Trakkr's own figures rather than independently testing the product [13].

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

Questions This Section Answers

  • Which Trakkr plan does an agency need to unlock white-label client portals and multi-client management?
  • Does Trakkr's Growth plan include white-label reporting, or is Scale required for agency delivery?

The relevant offering is Trakkr for Agencies, delivered through the Scale plan with a white-label client portal. Growth is a single-brand plan and does not carry the agency feature set [21].

Scale is described as covering 10 brands, 50 prompts per brand, daily tracking across eight AI surfaces, unlimited team seats, REST API access, and a white-label client portal [24]. The eight named surfaces are ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Grok, DeepSeek, and Meta AI [24]. Per-brand depth is described as identical on Growth and Scale — the difference is breadth of brands, not deeper tracking on one brand [25].

The white-label layer is the part that matters most for this use case. Trakkr states that agencies get a custom domain with SSL, agency logo and colors, branded client login portals, emails sent from the agency domain, white-label PDF reports, and no Trakkr branding [28]. Client portals are described as read-only, with agencies controlling which sections clients can see [32].

One naming caution: platforms did not describe the plan identically. Some called it "Scale," some "Trakkr for Agencies," and some "Agency white-label workspace." These appear to refer to the same commercial offering, but the naming inconsistency is itself a reason to confirm plan scope in writing.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do multiple AI platforms agree Trakkr does well for agencies selling AI visibility services?
  • Is Trakkr's white-label client portal included in the Scale plan or billed separately?

Agreement was strongest on four points.

First, white-label delivery. Multiple platforms independently described Trakkr as offering a fully branded agency workspace with custom domain, branded client logins, agency-domain emails, and no vendor branding [33]. Anthropic went further and called Trakkr "the only option with full white-label support for agencies," though that claim traces to a Trakkr-owned comparison page and should be treated as company-reported rather than independently established [40].

Second, multi-client structure. Platforms agreed that brands can be grouped by client, access can be scoped to individual brands, and team seats are unlimited on Scale [33]. ReachLLM, an independent source, corroborated the grouping and scoping behavior and the 10-brand Scale configuration at $417 per month billed annually plus $50 per month per extra brand [41].

Third, model coverage. Platforms agreed that all paid plans include the same eight AI models with no per-model upcharges [44].

Fourth, citation and competitor tracking. Platforms agreed Trakkr tracks which source URLs AI models cite, shows competitor positioning per prompt, and supports visibility-gap analysis [48]. FP Growth, an independent source, reported that agencies running AI search competitive audits find Trakkr's attribution data useful for identifying not just that a competitor is cited but why [52].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Is Trakkr's white-label client portal included in Scale, or does it cost an extra $49 per brand per month?
  • What is the actual US price an agency pays for Trakkr's Scale plan, and why do the published figures conflict?

The most consequential disagreement is whether white-label portal branding is included in Scale or billed as an add-on.

Trakkr's pricing page states white-labelling "is included with Scale, with no separate white-label fee" [53]. Trakkr's own billing documentation, however, lists white-label brand access at $49 per enabled brand per month in self-serve billing [55]. LLM Pulse, an independent source, also reported white-label as an optional $49-per-client add-on [56]. Am I Cited went further and stated white-label reporting is available on request for Enterprise customers only [57]. These are direct conflicts, and they are not resolved by the supplied evidence.

The second disagreement is price. Trakkr's agency page displays Scale at $417 per month billed annually with 10 brands included and additional brands at $50 per month each [58]. The general pricing page displays Scale at £395 per month or £3,950 annually while stating prices are set and billed in USD, and separately shows $500 per month for Scale [59]. DeepSeek inferred a roughly $500 monthly equivalent from the annual saving but noted the monthly figure is not explicitly shown [62]. Perplexity rated its own pricing confidence as low [55].

Third, prompt and scan limits. Anthropic and Google both reported a hard cap of 50 prompts per brand on self-serve plans, with enterprise negotiation up to 1,000 prompts [63]. DeepSeek and Kimi reported that prompt and scan volumes are not clearly specified on the agency page at all [62]. Kimi specifically flagged that "40 daily tracked prompts" could be per-account or workspace-wide and that distribution across 10 brands is unspecified [65].

Fourth, model coverage depth. Anthropic noted a review observation that "marketed model coverage is broad but depth is uneven," with no detailed breakdown of which models have full feature parity [66]. DeepSeek noted that only ChatGPT, Claude, Gemini, Perplexity, and Copilot are explicitly named on the agency page, leaving the rest of the "8+" list unenumerated there [62].

Fifth, reporting and integration tooling. DeepSeek and Kimi both reported that the agency page does not detail CSV/Excel exports, Looker Studio connectors, or API access, while competitors do [62]. Other platforms reported the opposite: that CSV and MCP are on every paid plan, REST API is included on Scale, and Looker Studio templates exist [67]. This is a documentation-visibility conflict rather than a confirmed capability gap.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Trakkr support scoped client access so one agency client cannot see another client's data?
  • Can an agency export Trakkr reports as branded PDFs, CSV, or API data for client delivery?

Trakkr's agency feature set covers the six criteria in this study's category definition, with caveats on two of them.

Multi-client management. Brands can be grouped by client, access scoped to individual brands, and clients invited to groups. Scale includes 10 brands; additional brands are priced at $50 per month each on the agency page [72]. Unlimited team members can be invited as Admins with full access except billing, or Viewers with read-only access [76]. Client portal seats do not consume team licenses [75].

Scalable prompt monitoring. Scale is listed with daily tracking for 10 brands at 50 prompts per brand, with each prompt queried across multiple models [77]. The 50-prompt figure is described in Trakkr documentation as a hard limit per brand, with enterprise options up to 1,000 prompts [79]. Prompts can reportedly be modified without losing historical data [80], though the pricing page notes historical scores start fresh when importing existing prompts during the trial [77].

Competitor comparisons. Trakkr describes competitor comparisons, win/loss tracking, threat alerts, model-level visibility breakdowns, and visibility-gap analysis for pitch reports [81]. Independent coverage from FP Growth described the attribution data as useful for identifying why a competitor is cited, not just that it is [83].

Citation and recommendation tracking. Citation-source tracking shows which source URLs AI models reference, and perception analysis captures how models frame the brand [81]. Kimi reported that Trakkr tracks when clients gain or lose AI recommendations with immediate alerts [85].

Exportable reporting. The agency offering lists PDF reports, slide decks, shareable links, and CSV export [72]. Trakkr's documents feature lists PDF, Word, and Markdown downloads [86]. CSV and MCP are described as available on every public plan [87]. REST API access is described as included on Scale [88]. DeepSeek and Kimi both reported that the agency page itself does not detail these exports, which is a documentation gap rather than a confirmed absence [89].

White-label and client-facing functionality. Custom domain with SSL, agency branding, branded client logins, agency-domain emails, white-label PDF reports, and zero Trakkr branding are all described as part of the agency offering [72]. Whether this is included in base Scale or requires the $49-per-brand add-on is unresolved [93].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Trakkr's Scale plan cost per month for an agency, and are there setup or cancellation fees?
  • What extra fees should an agency expect beyond Trakkr's base Scale subscription?

Published pricing is internally inconsistent, and this is the single largest commercial risk in the file.

Cost itemPublished figureSource conflict
Scale, billed annually$417/month on the agency pageAgency page vs. general pricing page
Scale, general pricing page£395/month or £3,950/year, shown as reference while billing is stated in USDCurrency and amount conflict
Scale, monthly$500/month reported by multiple platformsMonthly figure not shown on the agency page
Additional brands beyond 10$50/month eachConsistent across agency page and independent coverage
White-label portal brandingIncluded with Scale per pricing page; $49/brand/month per billing docs and independent coverageDirect conflict
Growth$100/month, 1 brand, no API, no white-labelConsistent
EnterpriseCustom; one source cites from £790/month billed annuallyCustom pricing, limited detail

Contract terms are more consistent than pricing. Trakkr states cancel anytime with no penalties or hidden fees, month-to-month billing available, upgrades effective immediately with pro-rated billing, downgrades effective at the next billing cycle, and annual plans charged upfront with automatic renewal [96]. A 14-day free trial is advertised with a card required, and the trial covers one brand only [96]. Trakkr's terms add a 14-day money-back guarantee for new subscribers and a 30-day post-cancellation data export window (official:C3).

Additional cost items that platforms flagged as unclear: prompt packs beyond 50 per brand (pricing unspecified), extra Growth seats at $20 per month per one source, taxes and currency-conversion costs, and payment-processor charges [96].

For comparison, independent and competitor sources cited Profound at $399 per month per agency client workspace, LLM Pulse at €49 per month, Ayzeo at $149 per month for 3 clients, ChatReady at $299 per month for 30 sites, AgenticLens at $199 per month for 20 sites, Routeless at $499 per month for 3 clients, and Georion at $1,498 per month [101]. These are competitor-published figures and were not independently verified in this study.

Best Suited For

Questions This Section Answers

  • Which agencies get the best value from Trakkr's Scale plan for white-label AI visibility delivery?
  • Is Trakkr worth it for an agency managing 5 to 10 client brands?

Trakkr is best suited to agencies managing roughly 3 to 10 client brands that need branded client access and recurring visibility reporting [108]. The per-brand economics improve as the portfolio grows: one independent review noted the per-brand cost drops from $100 on single-brand Growth to roughly $50 per additional brand on Scale [110].

It also fits agencies selling AI search audits, citation monitoring, competitor comparisons, and visibility retainers as a standalone or bundled service line [108]. Teams that need daily monitoring across multiple AI models with API and export options are a natural fit [112]. Agencies that want self-serve transparent pricing rather than an enterprise quote process are also well matched, since Scale requires no sales call [114].

Agencies that value client-safe data separation and read-only client portals without cross-client leakage risk are another strong match [116].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Trakkr for white-label AI visibility reporting?
  • Is Trakkr a poor fit for agencies that need more than 50 prompts per brand on a self-serve plan?

Trakkr is probably not the best choice for agencies needing unlimited brands and prompts without moving to a custom Enterprise contract [117]. Scale caps at 10 brands and 50 prompts per brand, and larger portfolios require extra-brand charges or Enterprise pricing.

It is also a weak fit for buyers requiring independently validated performance outcomes or platform-neutral measurement standards. No independent source confirming customer outcomes, data quality, service-level commitments, or security certifications was identified in the reviewed sources [117].

Agencies focused mainly on traditional SEO rather than AI visibility monitoring and client reporting should look elsewhere, since Trakkr is monitoring-first and does not bundle content generation, CMS integration, or site execution workflows [117].

Agencies with fewer than four brands may find the per-brand cost inefficient compared to single-brand Growth at $100 per month [121]. Organizations requiring self-serve SSO, SOC 2, or explicit GDPR contracts are also poorly matched, since those are gated to Enterprise [122]. Agencies primarily serving European multilingual clients may find LLM Pulse or Peec AI stronger regional fits [124].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Trakkr for an agency that needs lower per-client pricing or more client sites?
  • When should an agency choose LLM Pulse, Profound, or a bundled GEO suite instead of Trakkr?

Several alternatives were named with specific conditions.

Choose an Enterprise-oriented competitor when the agency needs unlimited or very high-volume brand and prompt coverage, formal security review, SSO, custom contractual terms, or a dedicated success function [126]. Choose a platform with independently documented methodology or third-party validation when measurement credibility matters more than white-label packaging [126]. Choose a simpler analytics product when the agency only needs lightweight tracking without client portals, API access, or branded reporting [126].

For lower per-client cost, AgenticLens at $199 per month for 20 sites and ChatReady at $299 per month for 30 sites were both cited as cheaper alternatives [127]. For flat per-client pricing with unlimited team seats, Ayzeo at $149 per month for 3 clients with $49 per additional client was cited [129]. For Looker Studio integration or API access, LLM Pulse was cited [130]. For built-in GEO content generation, Georion was cited with 30 AI-generated articles per month [131]. For weekly rather than daily tracking at lower cost, LLM Pulse and similar weekly-tier tools were cited [132].

Profound was cited at $399 per month per agency client workspace, making portfolios of five or more clients significantly more expensive than Trakkr's per-brand model [133]. Peec AI uses shared credit pools instead of per-brand slots, which some agencies prefer for variable client portfolios [134].

Questions to Verify Before Buying

Questions This Section Answers

  • What should an agency confirm with Trakkr about white-label scope before signing a Scale contract?
  • What pricing, prompt-limit, and data-export questions should a buyer ask Trakkr before committing?

The unresolved items below come directly from platform-flagged uncertainty and should be confirmed in writing before purchase.

Pricing and billing. What exact USD amount will a US agency be charged for Scale, monthly and annually [135]? Is the $50 additional-brand price current, and does it apply to every brand beyond 10 [136]? Are additional prompts, markets, data points, article credits, or API usage separately metered [135]? What are the prompt-pack prices beyond 50 per brand [138]?

White-label scope. Is white-label included in base Scale, or billed at $49 per enabled brand per month [139]? Does base Scale provide custom domain, branded portal, and client login, or are those add-on only [141]? Can clients see pricing, billing, upgrade prompts, or any indication of the underlying vendor [142]?

Capacity and limits. How many brands are included in Scale, and is "10 brands included" tied to Scale specifically [143]? Are the 50 prompts per brand allocated per brand or pooled across the workspace [144]? What is the process and lead time to increase prompt allowance beyond 50 per brand [145]?

Technical and compliance. What are the API rate limits, authentication options, uptime commitments, and data-retention terms [135]? Do all eight AI models have feature parity across citation tracking, sentiment analysis, competitor positioning, and recommendation generation [146]? What security controls, subprocessors, SSO options, and data-processing terms apply to US agency and client data [135]?

Exit terms. What happens to client portals, historical data, and exports after cancellation or downgrade [135]? Can client users be restricted to selected brands, reports, exports, and historical data at the required granularity [135]?

Final AI Consensus Verdict

Trakkr is a good fit for agencies that prioritize turnkey white-label delivery, multi-client organization, recurring AI visibility monitoring, competitor and citation reporting, and predictable team access [148]. It is not an unqualified strong fit.

The case for Trakkr rests on a genuinely agency-shaped product: branded client portals, scoped multi-brand access, unlimited seats, eight models on every paid plan, and citation and competitor tracking that independent coverage describes as useful for audit work [151]. The case against overcommitting rests on three unresolved items: standard Scale capacity is finite at 10 brands and 50 prompts per brand, public pricing is internally inconsistent for a US buyer, and independent evidence about measurement quality and customer outcomes is limited [148].

Platform agreement does not prove product quality. It shows that multiple models, working from largely company-owned material, converged on the same description of what Trakkr offers and the same set of unresolved commercial questions. Buyers should treat the pricing and white-label scope conflicts as the primary items to close before signing.

How This Review Was Produced

This review was produced from a structured multi-platform research run dated 2026-09-19. Seven AI platforms — openai, anthropic, deepseek, google, grok, kimi, and perplexity — were asked which white-label AI visibility platforms they would recommend for agencies, and each returned a fit assessment, use-case findings, pricing and terms, limitations, and verification questions for Trakkr.

Two of the seven platforms named Trakkr during ranking discovery (grok at rank 3, perplexity at rank 4), producing an average listed rank of 3.5 and a best listed rank of 3. All seven platforms evaluated Trakkr's fit for this use case, but only the two ranking mentions count toward the platform-mention statistic.

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. Company-owned citations materially outnumber independent citations in this file, so company claims should not be read as independently verified. Where a platform supplied no citation for a factual claim, that claim is labeled platform-reported or unverified.

Methodology Limitations

Several limitations apply to this review.

Platform-reported research dates are provenance metadata and do not independently prove freshness. The study date is 2026-09-19.

Conflicting product names, pricing, and capabilities were not resolved by guessing. Where sources conflict — most notably on white-label inclusion and Scale pricing — the conflict is described and buyers are directed to verify.

The deterministic identity audit noted that official-site retrieval failed for one or more mentions and that a product-labeled company mention was merged using matching company-name and supplied-domain signatures. No failed fetch was used as a verified domain key.

No independent source confirming customer outcomes, data quality, service-level commitments, or security certifications was identified in the reviewed sources [155]. Feature pages use broad claims such as live monitoring and extensive model coverage that the reviewed sources do not independently verify [155].

One platform (deepseek) ran without search enabled, so its findings rely on model knowledge rather than retrieved pages and should be weighted accordingly.

This review evaluates Trakkr only for the White-Label AI Visibility Platforms for Agencies use case. It is not a broad company review, and findings should not be extended to other use cases.

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
  • Georion for Agencies — White-label AI Visibility Platform 2026: https://georion.app/solutions/agencies
  • Plans & Pricing - Trakkr Documentation: https://learn.trakkr.ai/plans
  • White-Label AI Visibility & GEO Platform for Agencies | LLM Pulse: https://llmpulse.ai/agencies
  • Trakkr | AI Visibility Platform for Brands & Agencies: https://trakkr.ai/
  • AI Visibility Tools: Category Map + 12-Tool Comparison 2026 | Trakkr: https://trakkr.ai/ai-visibility-tools
  • Compare Agency Workflows - Profound Alternatives - Trakkr | AI: https://trakkr.ai/alternatives/profound-alternatives/for-agencies
  • Best AI Visibility Tools in 2026: The Honest Comparison | Trakkr: https://trakkr.ai/best-ai-visibility-tools
  • AIClicks vs Trakkr: Pricing and Service Layer (2026: https://trakkr.ai/compare/aiclicks-vs-trakkr
  • White-label portal | Trakkr Docs: https://trakkr.ai/docs
  • AI Brand Monitoring Features – Citations, Perception, Competitors & More | Trakkr: https://trakkr.ai/features
  • Agency AI Visibility Reporting Requirements | Trakkr: https://trakkr.ai/guides/agency-ai-visibility-reporting-requirements
  • Plans and billing | Trakkr Docs: https://trakkr.ai/learn/docs/account/billing
  • Frequently Asked Questions: https://trakkr.ai/learn/docs/faq
  • AI Visibility Pricing: $100 Growth, $500 Scale | Trakkr: https://trakkr.ai/pricing
  • LLM Pulse Review 2026: Pricing, Trial & Alternatives | Trakkr: https://trakkr.ai/reviews/llm-pulse-review
  • Profound for Agencies: Pricing, Client Reporting and Fit | Trakkr: https://trakkr.ai/reviews/profound-review/agency
  • Trakkr for Agencies | White-Label AI Visibility Platform: https://trakkr.ai/trakkr-for/agencies
  • White-Label AI Visibility for Agencies | Routeless Radar: https://www.routeless.io/agencies
  • Official pricing and terms source: https://trakkr.ai/terms
  • Additional AI research evidence155 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:citation_2
    3. AI research evidence record perplexity:1
    4. AI research evidence record perplexity:2
    5. AI research evidence record perplexity:5
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:citation_2
    8. AI research evidence record deepseek:c1
    9. AI research evidence record grok:web:0
    10. AI research evidence record perplexity:3
    11. AI research evidence record kimi:trakkr-1
    12. AI research evidence record google:1.1.1
    13. AI research evidence record anthropic:citation_4
    14. AI research evidence record anthropic:citation_6
    15. AI research evidence record anthropic:citation_11
    16. AI research evidence record anthropic:citation_23
    17. AI research evidence record perplexity:2
    18. AI research evidence record perplexity:4
    19. AI research evidence record perplexity:10
    20. AI research evidence record perplexity:14
    21. AI research evidence record anthropic:citation_6
    22. AI research evidence record anthropic:citation_17
    23. AI research evidence record google:1.2.1
    24. AI research evidence record openai:c2
    25. AI research evidence record anthropic:citation_8
    26. AI research evidence record perplexity:8
    27. AI research evidence record anthropic:citation_7
    28. AI research evidence record openai:c1
    29. AI research evidence record anthropic:citation_2
    30. AI research evidence record grok:web:3
    31. AI research evidence record google:1.2.2
    32. AI research evidence record google:1.2.3
    33. AI research evidence record openai:c1
    34. AI research evidence record anthropic:citation_2
    35. AI research evidence record deepseek:c1
    36. AI research evidence record grok:web:0
    37. AI research evidence record perplexity:3
    38. AI research evidence record kimi:trakkr-1
    39. AI research evidence record google:1.1.1
    40. AI research evidence record anthropic:citation_1
    41. AI research evidence record anthropic:citation_4
    42. AI research evidence record anthropic:citation_5
    43. AI research evidence record google:1.2.3
    44. AI research evidence record openai:c2
    45. AI research evidence record anthropic:citation_7
    46. AI research evidence record anthropic:citation_8
    47. AI research evidence record google:1.2.1
    48. AI research evidence record openai:c3
    49. AI research evidence record anthropic:citation_9
    50. AI research evidence record anthropic:citation_10
    51. AI research evidence record anthropic:citation_11
    52. AI research evidence record anthropic:citation_12
    53. AI research evidence record perplexity:1
    54. AI research evidence record anthropic:citation_3
    55. AI research evidence record perplexity:5
    56. AI research evidence record anthropic:citation_22
    57. AI research evidence record anthropic:citation_23
    58. AI research evidence record openai:c1
    59. AI research evidence record openai:c2
    60. AI research evidence record anthropic:citation_20
    61. AI research evidence record grok:web:2
    62. AI research evidence record deepseek:c1
    63. AI research evidence record anthropic:citation_18
    64. AI research evidence record google:1.2.1
    65. AI research evidence record kimi:trakkr-1
    66. AI research evidence record anthropic:citation_9
    67. AI research evidence record anthropic:citation_13
    68. AI research evidence record anthropic:citation_14
    69. AI research evidence record anthropic:citation_16
    70. AI research evidence record perplexity:7
    71. AI research evidence record perplexity:15
    72. AI research evidence record openai:c1
    73. AI research evidence record anthropic:citation_4
    74. AI research evidence record grok:web:0
    75. AI research evidence record google:1.2.3
    76. AI research evidence record anthropic:citation_5
    77. AI research evidence record openai:c2
    78. AI research evidence record perplexity:8
    79. AI research evidence record anthropic:citation_18
    80. AI research evidence record anthropic:citation_19
    81. AI research evidence record openai:c3
    82. AI research evidence record anthropic:citation_11
    83. AI research evidence record anthropic:citation_12
    84. AI research evidence record anthropic:citation_10
    85. AI research evidence record kimi:trakkr-1
    86. AI research evidence record perplexity:15
    87. AI research evidence record anthropic:citation_13
    88. AI research evidence record anthropic:citation_16
    89. AI research evidence record deepseek:c1
    90. AI research evidence record anthropic:citation_2
    91. AI research evidence record grok:web:3
    92. AI research evidence record google:1.2.2
    93. AI research evidence record perplexity:1
    94. AI research evidence record perplexity:5
    95. AI research evidence record anthropic:citation_22
    96. AI research evidence record openai:c2
    97. AI research evidence record anthropic:citation_21
    98. AI research evidence record anthropic:citation_25
    99. AI research evidence record anthropic:citation_22
    100. AI research evidence record grok:web:4
    101. AI research evidence record anthropic:citation_28
    102. AI research evidence record anthropic:citation_27
    103. AI research evidence record deepseek:c3
    104. AI research evidence record deepseek:c4
    105. AI research evidence record deepseek:c6
    106. AI research evidence record deepseek:c2
    107. AI research evidence record deepseek:c5
    108. AI research evidence record openai:c1
    109. AI research evidence record anthropic:citation_4
    110. AI research evidence record anthropic:citation_23
    111. AI research evidence record anthropic:citation_15
    112. AI research evidence record openai:c2
    113. AI research evidence record anthropic:citation_16
    114. AI research evidence record grok:web:4
    115. AI research evidence record anthropic:citation_21
    116. AI research evidence record google:1.2.3
    117. AI research evidence record openai:c1
    118. AI research evidence record anthropic:citation_18
    119. AI research evidence record anthropic:citation_9
    120. AI research evidence record anthropic:citation_15
    121. AI research evidence record anthropic:citation_23
    122. AI research evidence record anthropic:citation_20
    123. AI research evidence record perplexity:12
    124. AI research evidence record anthropic:citation_27
    125. AI research evidence record anthropic:citation_29
    126. AI research evidence record openai:c1
    127. AI research evidence record deepseek:c6
    128. AI research evidence record deepseek:c4
    129. AI research evidence record deepseek:c3
    130. AI research evidence record deepseek:c7
    131. AI research evidence record deepseek:c5
    132. AI research evidence record anthropic:citation_27
    133. AI research evidence record anthropic:citation_28
    134. AI research evidence record anthropic:citation_29
    135. AI research evidence record openai:c2
    136. AI research evidence record openai:c1
    137. AI research evidence record anthropic:citation_4
    138. AI research evidence record anthropic:citation_22
    139. AI research evidence record perplexity:1
    140. AI research evidence record perplexity:5
    141. AI research evidence record anthropic:citation_3
    142. AI research evidence record anthropic:citation_2
    143. AI research evidence record deepseek:c1
    144. AI research evidence record kimi:trakkr-1
    145. AI research evidence record anthropic:citation_18
    146. AI research evidence record anthropic:citation_9
    147. AI research evidence record perplexity:12
    148. AI research evidence record openai:c1
    149. AI research evidence record anthropic:citation_2
    150. AI research evidence record google:1.2.1
    151. AI research evidence record anthropic:citation_12
    152. AI research evidence record google:1.2.3
    153. AI research evidence record perplexity:5
    154. AI research evidence record anthropic:citation_9
    155. AI research evidence record openai:c1

Independent Sources

  • Trakkr review: pricing, features & alternatives - Agentic SEO Tools: https://agenticseotools.com/tools/trakkr/
  • Trakkr: AI visibility platform tracing AI visitors to revenue - AI Search Visibility Tools: https://ai-search-visibility-tools.com/trakkr
  • Trakkr Pricing in 2026 and Whether It Is Worth It: https://citetrackai.com/blog/trakkr-pricing/
  • AI Search Tools for Agencies | Multi-Client Management: https://fpgrowth.io/signals/ai-search-tools-for-agencies/
  • KnitKnot vs Trakkr - AI Presence Management vs AI Visibility Monitoring: https://knitknot.ai/compare/knitknot-vs-trakkr/
  • Best Trakkr AI Alternatives in 2026 (8 Compared) - LLM Pulse: https://llmpulse.ai/blog/best-trakkr-alternatives/
  • Trakkr Review: Is the Free Tier Usable? (2026) | Am I Cited: https://www.amicited.com/reviews/trakkr-review/
  • Best GEO Platform for Agencies: Managing Many Clients and Multiple Brands | ReachLLM: https://www.reachllm.com/blog/best-geo-platform-for-agencies
  • Additional AI research evidence155 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:citation_2
    3. AI research evidence record perplexity:1
    4. AI research evidence record perplexity:2
    5. AI research evidence record perplexity:5
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:citation_2
    8. AI research evidence record deepseek:c1
    9. AI research evidence record grok:web:0
    10. AI research evidence record perplexity:3
    11. AI research evidence record kimi:trakkr-1
    12. AI research evidence record google:1.1.1
    13. AI research evidence record anthropic:citation_4
    14. AI research evidence record anthropic:citation_6
    15. AI research evidence record anthropic:citation_11
    16. AI research evidence record anthropic:citation_23
    17. AI research evidence record perplexity:2
    18. AI research evidence record perplexity:4
    19. AI research evidence record perplexity:10
    20. AI research evidence record perplexity:14
    21. AI research evidence record anthropic:citation_6
    22. AI research evidence record anthropic:citation_17
    23. AI research evidence record google:1.2.1
    24. AI research evidence record openai:c2
    25. AI research evidence record anthropic:citation_8
    26. AI research evidence record perplexity:8
    27. AI research evidence record anthropic:citation_7
    28. AI research evidence record openai:c1
    29. AI research evidence record anthropic:citation_2
    30. AI research evidence record grok:web:3
    31. AI research evidence record google:1.2.2
    32. AI research evidence record google:1.2.3
    33. AI research evidence record openai:c1
    34. AI research evidence record anthropic:citation_2
    35. AI research evidence record deepseek:c1
    36. AI research evidence record grok:web:0
    37. AI research evidence record perplexity:3
    38. AI research evidence record kimi:trakkr-1
    39. AI research evidence record google:1.1.1
    40. AI research evidence record anthropic:citation_1
    41. AI research evidence record anthropic:citation_4
    42. AI research evidence record anthropic:citation_5
    43. AI research evidence record google:1.2.3
    44. AI research evidence record openai:c2
    45. AI research evidence record anthropic:citation_7
    46. AI research evidence record anthropic:citation_8
    47. AI research evidence record google:1.2.1
    48. AI research evidence record openai:c3
    49. AI research evidence record anthropic:citation_9
    50. AI research evidence record anthropic:citation_10
    51. AI research evidence record anthropic:citation_11
    52. AI research evidence record anthropic:citation_12
    53. AI research evidence record perplexity:1
    54. AI research evidence record anthropic:citation_3
    55. AI research evidence record perplexity:5
    56. AI research evidence record anthropic:citation_22
    57. AI research evidence record anthropic:citation_23
    58. AI research evidence record openai:c1
    59. AI research evidence record openai:c2
    60. AI research evidence record anthropic:citation_20
    61. AI research evidence record grok:web:2
    62. AI research evidence record deepseek:c1
    63. AI research evidence record anthropic:citation_18
    64. AI research evidence record google:1.2.1
    65. AI research evidence record kimi:trakkr-1
    66. AI research evidence record anthropic:citation_9
    67. AI research evidence record anthropic:citation_13
    68. AI research evidence record anthropic:citation_14
    69. AI research evidence record anthropic:citation_16
    70. AI research evidence record perplexity:7
    71. AI research evidence record perplexity:15
    72. AI research evidence record openai:c1
    73. AI research evidence record anthropic:citation_4
    74. AI research evidence record grok:web:0
    75. AI research evidence record google:1.2.3
    76. AI research evidence record anthropic:citation_5
    77. AI research evidence record openai:c2
    78. AI research evidence record perplexity:8
    79. AI research evidence record anthropic:citation_18
    80. AI research evidence record anthropic:citation_19
    81. AI research evidence record openai:c3
    82. AI research evidence record anthropic:citation_11
    83. AI research evidence record anthropic:citation_12
    84. AI research evidence record anthropic:citation_10
    85. AI research evidence record kimi:trakkr-1
    86. AI research evidence record perplexity:15
    87. AI research evidence record anthropic:citation_13
    88. AI research evidence record anthropic:citation_16
    89. AI research evidence record deepseek:c1
    90. AI research evidence record anthropic:citation_2
    91. AI research evidence record grok:web:3
    92. AI research evidence record google:1.2.2
    93. AI research evidence record perplexity:1
    94. AI research evidence record perplexity:5
    95. AI research evidence record anthropic:citation_22
    96. AI research evidence record openai:c2
    97. AI research evidence record anthropic:citation_21
    98. AI research evidence record anthropic:citation_25
    99. AI research evidence record anthropic:citation_22
    100. AI research evidence record grok:web:4
    101. AI research evidence record anthropic:citation_28
    102. AI research evidence record anthropic:citation_27
    103. AI research evidence record deepseek:c3
    104. AI research evidence record deepseek:c4
    105. AI research evidence record deepseek:c6
    106. AI research evidence record deepseek:c2
    107. AI research evidence record deepseek:c5
    108. AI research evidence record openai:c1
    109. AI research evidence record anthropic:citation_4
    110. AI research evidence record anthropic:citation_23
    111. AI research evidence record anthropic:citation_15
    112. AI research evidence record openai:c2
    113. AI research evidence record anthropic:citation_16
    114. AI research evidence record grok:web:4
    115. AI research evidence record anthropic:citation_21
    116. AI research evidence record google:1.2.3
    117. AI research evidence record openai:c1
    118. AI research evidence record anthropic:citation_18
    119. AI research evidence record anthropic:citation_9
    120. AI research evidence record anthropic:citation_15
    121. AI research evidence record anthropic:citation_23
    122. AI research evidence record anthropic:citation_20
    123. AI research evidence record perplexity:12
    124. AI research evidence record anthropic:citation_27
    125. AI research evidence record anthropic:citation_29
    126. AI research evidence record openai:c1
    127. AI research evidence record deepseek:c6
    128. AI research evidence record deepseek:c4
    129. AI research evidence record deepseek:c3
    130. AI research evidence record deepseek:c7
    131. AI research evidence record deepseek:c5
    132. AI research evidence record anthropic:citation_27
    133. AI research evidence record anthropic:citation_28
    134. AI research evidence record anthropic:citation_29
    135. AI research evidence record openai:c2
    136. AI research evidence record openai:c1
    137. AI research evidence record anthropic:citation_4
    138. AI research evidence record anthropic:citation_22
    139. AI research evidence record perplexity:1
    140. AI research evidence record perplexity:5
    141. AI research evidence record anthropic:citation_3
    142. AI research evidence record anthropic:citation_2
    143. AI research evidence record deepseek:c1
    144. AI research evidence record kimi:trakkr-1
    145. AI research evidence record anthropic:citation_18
    146. AI research evidence record anthropic:citation_9
    147. AI research evidence record perplexity:12
    148. AI research evidence record openai:c1
    149. AI research evidence record anthropic:citation_2
    150. AI research evidence record google:1.2.1
    151. AI research evidence record anthropic:citation_12
    152. AI research evidence record google:1.2.3
    153. AI research evidence record perplexity:5
    154. AI research evidence record anthropic:citation_9
    155. AI research evidence record openai:c1

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
32
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#7

Research trail and source mix

Configured platforms

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

Source mix

8 independent · 24 company-owned

Evidence support

27 direct · 5 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 1500ff5bb6f3b17faed24568281eebbd9867bc15a291fc88179cea3737c03215