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Citevora AI Citation Architecture Agency Fit Review

Citevora is a good fit for U.S.

Research: 2026-09-167 usable platform responsesRead the methodology ↗

Answer Capsule

Citevora is a good fit for U.S. companies that want specialized AI citation-architecture research plus optional ongoing execution. Three of seven platforms named Citevora during the ranking stage — 43% of included platform responses — at an average listed rank of 1.33 and a best rank of 1 (deepseek, kimi, openai). The strongest reason to consider it is the published AI Citation Analysis diagnostic, which maps buyer prompts, competitor citation pathways, cited source domains, and authority gaps, then delivers a 90-day roadmap [1]. The main limitation is evidence quality: most available material is company-reported, no independently validated client outcomes were located, and contract, cancellation, and data-handling terms are not public [3].

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (deepseek, kimi, openai)
Share of included platform responses43% (3 ÷ 7)
Average listed rank1.33
Best listed rank1 (kimi, openai)
Relevant product/model/planAI Citation Analysis (one-time, from $1,250); AI Search Visibility Services (from $2,500/mo); GEO and AI Search Optimization (from $3,000/mo)
Overall use-case fitGood, conditional on scope, contract, and outcome verification
Research date2026-09-16

All seven included platforms evaluated Citevora's fit, but only three named it during ranking discovery. Platform-reported research dates are provenance metadata and do not independently prove freshness.

Why Citevora Qualified for This Study

Questions This Section Answers

  • Is Citevora a good choice for AI Citation Architecture Agencies?
  • How many AI platforms recommended Citevora for citation architecture work?

Citevora qualified because it was named by three of seven platforms during ranking discovery and because its published service scope maps directly onto the study's category criteria: mapping influential sources, analyzing competitor citation pathways, identifying authority gaps, strengthening source coverage, and measuring citation change [5].

The three platforms that named it placed it high — average rank 1.33, best rank 1 — which is why it advanced to a full fit review despite a 43% mention share. The remaining four platforms evaluated the use case but did not name Citevora in their ranking stage.

Qualification is not an endorsement of quality. Citevora's own service pages supply most of the evidence in this review, and company-owned citations materially outnumber independent ones in the supplied research. No independently verified case-study evidence establishing citation, recommendation, referral, or revenue improvements was located in the reviewed sources [8].

The Product, Model, Plan, or Service Most Relevant to AI Citation Architecture Agencies

Questions This Section Answers

  • Which Citevora plan should a buyer choose for citation architecture work?
  • Does Citevora's AI Citation Analysis include competitor citation mapping and a roadmap?

The most relevant entry point is AI Citation Analysis, a one-time diagnostic starting at $1,250. Citevora describes it as covering buyer prompts, cited sources, competitor pages, evidence gaps, source-domain classification, and a 90-day roadmap [10]. The homepage frames the same service as mapping which sources and competitor pages AI systems cite, where the brand loses citation share, and which content, evidence, authority, or entity gaps to address first [12].

For ongoing work, the relevant options are AI Search Visibility Services from $2,500 per month, and Generative Engine Optimization or AI Search Optimization from $3,000 per month [13]. Citevora presents AI Search Optimization as its flagship cross-engine retainer and GEO as a generative-answer-focused program [14].

Platforms disagreed on which plan matters most. OpenAI, Perplexity, and Kimi pointed to AI Citation Analysis as the entry point; Google described the relevant plan as AI Search Readiness Audits at $3,500–$7,500 one-time plus a GEO retainer at $4,000–$12,000 per month [16]. That pricing conflict is unresolved in the supplied evidence and should be verified directly.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Citevora does well for citation architecture?
  • Does Citevora cover ChatGPT, Perplexity, Gemini, Copilot, and Google AI?

Agreement was strong on service relevance. Platforms that evaluated Citevora converged on four points.

First, the diagnostic maps competitor citation pathways. Multiple platforms describe AI Citation Analysis as identifying which competitors and sources are cited for priority questions and why [18].

Second, the scope covers authority and evidence gaps. Citevora's published material describes page, evidence, entity, and authority gap analysis plus source-domain classification [18].

Third, coverage spans multiple engines. Citevora states it optimizes for and measures across Google AI experiences, ChatGPT, Perplexity, Gemini, and Microsoft Copilot [22].

Fourth, measurement is part of the offer. AI Search Visibility Services are described as tracking mentions, citations, cited URLs, competitor share of voice, answer accuracy, referrals, and implementation progress [22].

This agreement reflects consistent reading of largely company-published material. It does not prove product quality or outcome performance.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did one AI platform rate Citevora's fit as uncertain?
  • Is Citevora's pricing and U.S. presence clearly documented?

Fit ratings diverged sharply. Deepseek, Grok, and Perplexity rated Citevora a strong fit; OpenAI, Google, and Kimi rated it good; Anthropic rated it uncertain and recommended not proceeding without independent verification [25].

Anthropic's uncertainty centered on public presence. It reported that independent verification through web search produced no results, that Citevora does not appear in 2025–2026 AI citation architecture agency comparisons, and that no public information confirms whether the stated diagnostic and retainer services are current [25]. This conflicts directly with the other six platforms, which retrieved Citevora's service pages and pricing.

Pricing conflicts are unresolved. OpenAI, Deepseek, Grok, Kimi, and Perplexity report AI Citation Analysis from $1,250 and monthly retainers from $2,000–$3,000+. Google reports AI Search Readiness Audits at $3,500–$7,500 one-time and GEO retainers at $4,000–$12,000 per month [27]. The supplied evidence does not reconcile these figures.

Geography is disputed. Perplexity reported that public contact and location data point to Mamponteng, Kumasi, Ghana, not a clearly documented U.S. office [29]. Google cited a directory listing stating Citevora was founded in June 2026 by Israel Acheampong and is based in Kumasi, Ghana, with an hourly rate of $30–70 [30]. Google also reported that Citevora operates remote-first and aligns delivery with U.S., U.K., and Canadian time zones [32].

Methodology depth is unclear. OpenAI noted that public pages describe broad cross-engine coverage but do not fully disclose engine-by-engine methodology, sample sizes, historical retention, or data-access constraints [33]. Kimi questioned whether source-domain analysis covers the full source taxonomy — owned, third-party, review, comparison, community, video, and industry — that specialized citation-architecture providers publish [35].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Citevora measure whether citation changes actually improve AI citations?
  • What technical and content work does Citevora include beyond analysis?

Citevora's published capabilities align with the five category criteria, with one gap.

Citation-network mapping is an advantage. AI Citation Analysis is positioned to map buyer prompts, cited competitors, recurring source domains, competitor citation pathways, and cross-engine citation observations [36].

Authority and evidence-gap analysis is an advantage. Published scope includes priority-page diagnostics, entity and evidence-gap review, source classification, source-worthy content, third-party authority, and citation-readiness work [38].

Execution capability is an advantage. Monthly programs combine technical eligibility, content architecture, entity clarity, authority, citation work, and measurement [38].

Measurement of improvement is an advantage. AI Search Visibility Services are described as tracking mentions, citations, cited URLs, competitor share of voice, answer accuracy, referrals, and implementation progress with a monthly improvement roadmap [38].

Recommendation-platform coverage is unclear. Citevora states coverage across Google AI experiences, ChatGPT, Perplexity, Gemini, and Microsoft Copilot, but the public pages do not establish uniform measurement depth, sampling methodology, or recommendation-specific coverage for every platform [38].

Outcome guarantees are absent. Citevora's published material frames measurement as directional and does not establish a guaranteed ranking, citation, mention, or recommendation outcome [41]. Independent research describes GEO as an emerging field and notes that engine behavior and citation selection remain difficult to measure consistently [42].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Citevora cost per month, and are there setup or cancellation fees?
  • What contract length and cancellation terms apply to Citevora retainers?

Published starting prices cluster around a $1,250 diagnostic and $2,000–$3,000+ monthly retainers, but platform-reported figures conflict and no contract terms are public.

ServicePublished starting priceSource
AI Citation Analysis (one-time)From $1,250
AI Search Strategy Services (one-time)From $1,500
ChatGPT SEO ServicesFrom $2,000/mo
AI Search Visibility ServicesFrom $2,500/mo
Generative Engine OptimizationFrom $3,000/mo
AI Search OptimizationFrom $3,000/mo
Enterprise GEO Consulting (one-time)$5,000
AI Search Readiness Audits (Google-reported)$3,500–$7,500 one-time
GEO Retainer (Google-reported)$4,000–$12,000/mo

Contract terms are not published. OpenAI reported that reviewed pages do not specify minimum monthly commitment, renewal terms, cancellation notice, refund policy, payment schedule, or service-level commitments [44]. Perplexity reported that AI Search Visibility Services and GEO describe a recommended initial three-month cycle, while Enterprise GEO Consulting is a one-time 3–4 week engagement [45]. Kimi reported that monthly retainers imply ongoing commitment with no published cancellation terms [48].

Additional fees are unclear. OpenAI noted that expanded prompt sets, competitor sets, multi-product programs, international markets, or larger research workloads may be scoped separately, and that no public fee schedule exists for content production, digital PR, implementation, third-party tools, data access, or platform-specific integrations [44]. A third-party comparison page lists Citevora with a managed entry from $3,000 per month and a one-time entry from $1,250, but it is not the primary pricing source [49].

For market context, independent reporting places GEO agency services at roughly $1,500–$10,000+ per month, with some specialized or limited-scope offerings starting lower [50]. Citevora's published entry points sit inside that range.

Best Suited For

Questions This Section Answers

  • Who is Citevora best suited for among AI citation architecture buyers?
  • Is Citevora a good fit for B2B SaaS brands losing AI share of voice?

Citevora is best suited to companies that want a diagnostic-first engagement followed by optional execution under one provider.

Platforms converged on these buyer profiles: companies needing a one-time diagnostic of competitor citation pathways and source gaps [52]; brands seeking ongoing cross-engine citation, entity, content, technical, and visibility work [52]; teams prioritizing Google AI experiences, ChatGPT, Perplexity, Gemini, and Microsoft Copilot [52]; and buyers wanting a strategy-to-execution path rather than a standalone visibility dashboard [52].

Google added B2B SaaS and fintech companies losing share of voice in AI comparison and alternatives prompts, and in-house enterprise marketing teams seeking one-time playbooks rather than long-term lock-ins [55]. Kimi added B2B SaaS and enterprise brands needing cross-engine citation measurement and competitor citation benchmarking [57].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Citevora for AI Citation Architecture Agencies?
  • Is Citevora unsuitable for buyers who need guaranteed citation outcomes?

Citevora is probably not the best choice for buyers who need independently audited outcomes, guaranteed citation gains, standardized deliverables, or transparent enterprise contract terms.

OpenAI listed buyers seeking a self-service software platform with published feature limits and standardized subscription tiers, organizations requiring independently audited customer outcomes or guaranteed citation improvements, and large enterprises needing publicly documented procurement, security, compliance, or global delivery terms [58].

Deepseek listed non-English markets or companies outside the U.S. and Western Europe, buyers seeking a lower-cost or purely self-serve option, and budgets under $1,250 for a one-time analysis or under $2,000 per month for ongoing service [59].

Kimi listed small businesses with budgets below $2,500 per month for ongoing execution, buyers needing guaranteed third-party publication outcomes, and organizations requiring fully transparent fixed-rate pricing before engagement [60].

Grok listed small businesses, local SEO needs, traditional-SEO-only buyers, and non-U.S./U.K./Canada markets [61]. Google listed local U.S. businesses requiring physical on-site agency presence and very early-stage startups with budgets under $1,000 [62].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Citevora for a buyer who needs fixed-price audits?
  • When should a buyer choose a self-service AI visibility platform instead of Citevora?

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

Choose a self-service AI-visibility platform when the buyer needs repeatable internal monitoring, dashboard access, API availability, and standardized pricing [63]. Citeme.io offers a self-serve platform at €49–€59 per month for internal teams to measure AI citations, though it does not include agency execution [64].

Choose a larger SEO, digital-PR, or enterprise search consultancy when the buyer needs substantial authority-building execution, global localization, procurement support, or formal security and compliance documentation [63].

Choose a platform-specialist provider when ChatGPT, Google AI, or another single engine is the dominant requirement and broader cross-engine work would be unnecessary [63].

Choose Citeworks Studio when the buyer requires the phrase "citation architecture" in the service name or needs citation source mapping across owned, third-party, review, comparison, community, video, and industry sources with live citation-gap status [67].

Choose citable.agency when the buyer requires a fixed-price, bounded audit with an explicit scope document before committing to a retainer; it publishes an AI Search Baseline Review at €1,800, an Opportunity Audit at €3,800, and a Program Audit at €5,400 [70].

Choose a provider with stronger independent evidence when the buyer needs documented case studies, citation growth metrics, and cross-platform visibility improvements before signing [72]. Independent reporting identifies CiteWorks Studio, CiteVantage, Ideapreneur, AEO Engine, Adam Silva Consulting, and Verbatim Digital as agencies appearing in comparative guides and market analyses [73].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Citevora before signing a contract?
  • How can a buyer verify Citevora's methodology and client outcomes?

Platforms supplied overlapping verification lists. The recurring items:

Scope definition. Confirm which engines, countries, languages, prompts, competitors, products, and source types are included in the quoted scope, and how many prompts and repeated observations are included [74].

Measurement definitions. Confirm how citations, mentions, recommendations, answer accuracy, and share of voice are operationally defined and reported [74].

Deliverables. Confirm whether the buyer receives the complete source-domain map, cited URLs, competitor pathways, gap taxonomy, raw observations, and prioritized roadmap, and whether the engagement includes implementation, content production, technical changes, digital PR, and third-party outreach or only recommendations [74].

Source taxonomy depth. Confirm whether AI Citation Analysis includes granular source-type taxonomy — owned, third-party, review, comparison, community, video, industry — or only domain-level analysis [78].

Client evidence. Request case studies or references from comparable U.S. clients, including baseline, methodology, time period, and measured outcome [74]. Google reported that Citevora provides detailed case structures but frequently withholds client names under NDAs [80].

Contract terms. Confirm monthly minimum term, cancellation notice, renewal process, refund policy, payment schedule, and whether the diagnostic is billed separately from a retainer [74].

Ownership and data handling. Confirm who owns research outputs, dashboards, tracking data, content, and reusable analysis artifacts after termination, and what access, confidentiality, security, data-retention, and subcontractor terms apply [74].

Attribution. Confirm how the agency will distinguish genuine citation improvement from temporary engine changes, prompt variance, or increased brand demand [74].

Geography and delivery. Confirm where the operating entity is based and which team will deliver the work for a U.S. client [82].

Final AI Consensus Verdict

Citevora is a good, conditional fit for AI Citation Architecture Agencies. Three of seven platforms named it during ranking discovery at an average rank of 1.33, and six of seven rated its fit as good or strong. The published AI Citation Analysis diagnostic maps competitor citation pathways, cited source domains, and authority gaps, and the monthly retainers extend into execution and measurement across five named engines.

The condition is verification. One platform rated fit uncertain and recommended against proceeding without independent verification. Pricing figures conflict between platform reports. Contract, cancellation, data-handling, and security terms are not public. No independently validated client outcomes were located. Buyers should treat the published starting prices as entry points, not quotes, and should confirm scope, methodology, ownership, and contract terms before signing.

How This Review Was Produced

This review was produced from platform-reported research collected on 2026-09-16. Seven platforms evaluated Citevora's fit for AI Citation Architecture Agencies; three named it during ranking discovery. Each platform supplied its own citations, fit rating, pricing findings, limitations, and verification questions. Those outputs were consolidated without resolving conflicts between them.

All included platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Citations are platform-reported evidence, not independently verified facts.

Methodology Limitations

Company-owned citations materially outnumber independent citations in the supplied research, so most claims about Citevora's services, scope, and pricing rest on Citevora's own pages. Those claims are not independently verified.

Platform-reported research dates are provenance metadata and do not independently prove freshness. Conflicting product names, pricing, and capabilities were described rather than resolved; buyers should verify them directly. No personal testing, customer experience, or independent verification was performed for this review. AI-platform agreement on service relevance does not prove product quality or outcome performance.

Explore more ai citation authority building guidance in the category directory.

Sources

Company-Owned Sources

  • AI SEO Agency · GEO for ChatGPT, Perplexity & Google | citable.agency: https://citable.agency/
  • The CITE Framework — How AI Cites Brands | Citable: https://citable.agency/framework
  • Answer Engine Optimization Agency | Cite Solutions: https://cite.solutions/answer-engine-optimization-agency
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  • Agencies Who Specialize in AI Search Optimization: https://citevora.com/agencies-who-specialize-in-ai-search-optimization/
  • AI Citation Analysis Services | Benchmark Your AI Visibility - Citevora: https://citevora.com/ai-citation-analysis/
  • AI Search Visibility Services | Citevora: https://citevora.com/ai-search-visibility-services/
  • Boost Company AI Search Visibility Services 2026 - Welcome to Citevora: https://citevora.com/boost-company-ai-search-visibility-services-2026/
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  • Industries We Serve | AI Search Optimization by Sector: https://citevora.com/industries/
  • AI Citation Portfolios | Real Documented Results - Citevora: https://citevora.com/portfolio/
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  • AI Citation Analysis Services | Benchmark Your AI Visibility: https://citevora.com/services/ai-citation-analysis/
  • AI Search Optimization | Fast, Focused Page Optimization: https://citevora.com/services/ai-search-optimization/
  • AI Search Visibility Services | Citevora: https://citevora.com/services/ai-search-visibility-services/
  • Enterprise GEO Consulting | AI Search Strategy for Teams: https://citevora.com/services/enterprise-geo-consulting/
  • Generative AI Search Engine Optimization Agency: https://citevora.com/services/generative-engine-optimization/
  • What citation architecture services include: https://citeworksstudio.com/citation-architecture
  • AI Citation Architecture Agency | CiteWorks Studio: https://citeworksstudio.com/resources/ai-citation-architecture-agency
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  • The GEO agency that gets you cited by AI: https://www.citeme.io/services/geo-agency
  • Generative Engine Optimization (GEO) Pricing: Cost Breakdown & Monthly Fees: https://www.gushwork.ai/feeds/blog/generative-engine-optimization-agency-pricing
  • Additional AI research evidence83 records
    1. AI research evidence record openai:c2
    2. AI research evidence record perplexity:c1
    3. AI research evidence record openai:c4
    4. AI research evidence record anthropic:c1
    5. AI research evidence record openai:c1
    6. AI research evidence record openai:c2
    7. AI research evidence record deepseek:c5
    8. AI research evidence record openai:c4
    9. AI research evidence record anthropic:c1
    10. AI research evidence record openai:c2
    11. AI research evidence record perplexity:c1
    12. AI research evidence record perplexity:c3
    13. AI research evidence record openai:c1
    14. AI research evidence record openai:c3
    15. AI research evidence record perplexity:c5
    16. AI research evidence record google:1.1.1
    17. AI research evidence record google:1.1.6
    18. AI research evidence record openai:c2
    19. AI research evidence record deepseek:c5
    20. AI research evidence record perplexity:c11
    21. AI research evidence record perplexity:c3
    22. AI research evidence record openai:c1
    23. AI research evidence record kimi:citevora-optimization-retainer
    24. AI research evidence record kimi:citevora-search-visibility
    25. AI research evidence record anthropic:c1
    26. AI research evidence record anthropic:c12
    27. AI research evidence record google:1.1.1
    28. AI research evidence record google:1.1.6
    29. AI research evidence record perplexity:c9
    30. AI research evidence record google:1.1.5
    31. AI research evidence record google:2.4.3
    32. AI research evidence record google:2.2.4
    33. AI research evidence record openai:c1
    34. AI research evidence record openai:c2
    35. AI research evidence record kimi:citeworks-citation-architecture
    36. AI research evidence record openai:c2
    37. AI research evidence record deepseek:c5
    38. AI research evidence record openai:c1
    39. AI research evidence record openai:c3
    40. AI research evidence record kimi:citevora-search-visibility
    41. AI research evidence record openai:c4
    42. AI research evidence record openai:c5
    43. AI research evidence record openai:c6
    44. AI research evidence record openai:c1
    45. AI research evidence record perplexity:c5
    46. AI research evidence record perplexity:c7
    47. AI research evidence record perplexity:c8
    48. AI research evidence record kimi:citevora-services-overview
    49. AI research evidence record perplexity:c4
    50. AI research evidence record anthropic:c5
    51. AI research evidence record anthropic:c6
    52. AI research evidence record openai:c1
    53. AI research evidence record deepseek:c5
    54. AI research evidence record kimi:citevora-optimization-retainer
    55. AI research evidence record google:1.1.2
    56. AI research evidence record google:2.2.4
    57. AI research evidence record kimi:citevora-search-visibility
    58. AI research evidence record openai:c1
    59. AI research evidence record deepseek:c5
    60. AI research evidence record kimi:citevora-services-overview
    61. AI research evidence record grok:web:0
    62. AI research evidence record google:1.1.5
    63. AI research evidence record openai:c1
    64. AI research evidence record deepseek:c4
    65. AI research evidence record deepseek:c7
    66. AI research evidence record kimi:citeme-geo-agency
    67. AI research evidence record deepseek:c1
    68. AI research evidence record kimi:citeworks-citation-architecture
    69. AI research evidence record anthropic:c1
    70. AI research evidence record deepseek:c3
    71. AI research evidence record kimi:citable-agency
    72. AI research evidence record anthropic:c11
    73. AI research evidence record anthropic:c12
    74. AI research evidence record openai:c1
    75. AI research evidence record perplexity:c1
    76. AI research evidence record grok:web:0
    77. AI research evidence record kimi:citevora-citation-analysis
    78. AI research evidence record kimi:citeworks-citation-architecture
    79. AI research evidence record anthropic:c11
    80. AI research evidence record google:1.1.2
    81. AI research evidence record deepseek:c5
    82. AI research evidence record perplexity:c9
    83. AI research evidence record google:2.2.4

Independent Sources

  • From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms: https://arxiv.org/abs/2604.25707
  • Optimizing Visibility in Generative Engines: A Critical Survey of Generative Engine Optimization: https://arxiv.org/abs/2607.14035
  • Generative Engine Optimization Services: 2026 Scope & Pricing | DoodleWeb: https://doodleweb.io/blog/generative-engine-optimization-services-pricing-2026
  • Top 10+ IT Companies in Kumasi (2026) - TechBehemoths: https://techbehemoths.com/companies/kumasi
  • Citevora Company Profile - TechBehemoths: https://techbehemoths.com/company/citevora
  • Generative Engine Optimization Cost in 2026: GEO Pricing: https://www.icecubedigital.com/blog/generative-engine-optimization-cost-2026/
  • 5 Best AI Visibility Agencies for LLM Citations (2026: https://www.llmreach.ai/blog/5-best-agencies-for-llm-citations-in-2025
  • Additional AI research evidence83 records
    1. AI research evidence record openai:c2
    2. AI research evidence record perplexity:c1
    3. AI research evidence record openai:c4
    4. AI research evidence record anthropic:c1
    5. AI research evidence record openai:c1
    6. AI research evidence record openai:c2
    7. AI research evidence record deepseek:c5
    8. AI research evidence record openai:c4
    9. AI research evidence record anthropic:c1
    10. AI research evidence record openai:c2
    11. AI research evidence record perplexity:c1
    12. AI research evidence record perplexity:c3
    13. AI research evidence record openai:c1
    14. AI research evidence record openai:c3
    15. AI research evidence record perplexity:c5
    16. AI research evidence record google:1.1.1
    17. AI research evidence record google:1.1.6
    18. AI research evidence record openai:c2
    19. AI research evidence record deepseek:c5
    20. AI research evidence record perplexity:c11
    21. AI research evidence record perplexity:c3
    22. AI research evidence record openai:c1
    23. AI research evidence record kimi:citevora-optimization-retainer
    24. AI research evidence record kimi:citevora-search-visibility
    25. AI research evidence record anthropic:c1
    26. AI research evidence record anthropic:c12
    27. AI research evidence record google:1.1.1
    28. AI research evidence record google:1.1.6
    29. AI research evidence record perplexity:c9
    30. AI research evidence record google:1.1.5
    31. AI research evidence record google:2.4.3
    32. AI research evidence record google:2.2.4
    33. AI research evidence record openai:c1
    34. AI research evidence record openai:c2
    35. AI research evidence record kimi:citeworks-citation-architecture
    36. AI research evidence record openai:c2
    37. AI research evidence record deepseek:c5
    38. AI research evidence record openai:c1
    39. AI research evidence record openai:c3
    40. AI research evidence record kimi:citevora-search-visibility
    41. AI research evidence record openai:c4
    42. AI research evidence record openai:c5
    43. AI research evidence record openai:c6
    44. AI research evidence record openai:c1
    45. AI research evidence record perplexity:c5
    46. AI research evidence record perplexity:c7
    47. AI research evidence record perplexity:c8
    48. AI research evidence record kimi:citevora-services-overview
    49. AI research evidence record perplexity:c4
    50. AI research evidence record anthropic:c5
    51. AI research evidence record anthropic:c6
    52. AI research evidence record openai:c1
    53. AI research evidence record deepseek:c5
    54. AI research evidence record kimi:citevora-optimization-retainer
    55. AI research evidence record google:1.1.2
    56. AI research evidence record google:2.2.4
    57. AI research evidence record kimi:citevora-search-visibility
    58. AI research evidence record openai:c1
    59. AI research evidence record deepseek:c5
    60. AI research evidence record kimi:citevora-services-overview
    61. AI research evidence record grok:web:0
    62. AI research evidence record google:1.1.5
    63. AI research evidence record openai:c1
    64. AI research evidence record deepseek:c4
    65. AI research evidence record deepseek:c7
    66. AI research evidence record kimi:citeme-geo-agency
    67. AI research evidence record deepseek:c1
    68. AI research evidence record kimi:citeworks-citation-architecture
    69. AI research evidence record anthropic:c1
    70. AI research evidence record deepseek:c3
    71. AI research evidence record kimi:citable-agency
    72. AI research evidence record anthropic:c11
    73. AI research evidence record anthropic:c12
    74. AI research evidence record openai:c1
    75. AI research evidence record perplexity:c1
    76. AI research evidence record grok:web:0
    77. AI research evidence record kimi:citevora-citation-analysis
    78. AI research evidence record kimi:citeworks-citation-architecture
    79. AI research evidence record anthropic:c11
    80. AI research evidence record google:1.1.2
    81. AI research evidence record deepseek:c5
    82. AI research evidence record perplexity:c9
    83. AI research evidence record google:2.2.4

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Study date
September 17, 2026
Platforms analyzed
7
Source records
35
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#2

Research trail and source mix

Configured platforms

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

Source mix

10 independent · 25 company-owned

Evidence support

33 direct · 2 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 68a7f2f8d2c3b9cc470556ba1ec2a090cc65d953391799514fb0aaf07be6b249