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CiteWorks Studio AI Search Agency Fit Review for Citation Architecture Strategy

CiteWorks Studio is a good fit for companies seeking an agency-led citation architecture strategy, with moderate factual uncertainty.

Research: 2026-09-187 usable platform responsesRead the methodology ↗

Answer Capsule

CiteWorks Studio is a good fit for companies seeking an agency-led citation architecture strategy, with moderate factual uncertainty. Two of seven platforms named it during the ranking stage (grok and openai), and both listed it at rank 1, giving it an average listed rank of 1.0 and a 28.6% share of included platform responses. The strongest reason to consider it: its publicly described services directly target citation architecture across publishers, comparison sites, directories, reviews, videos, and community sources that AI systems retrieve [1]. The main limitation: no verified public pricing, contract terms, or independently validated outcomes were found, and one platform could not retrieve the official site at all [4].

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (grok, openai)
Share of included platform responses28.6%
Average listed rank1.0
Best listed rank1
Relevant product/model/planAI Search Optimization Services - Citation Architecture; GEO and AI Search Visibility services with Citation Architecture and Visibility Audit
Overall use-case fitGood, with moderate factual uncertainty
Research date2026-09-18

Why CiteWorks Studio Qualified for This Study

Questions This Section Answers

  • Is CiteWorks Studio a good choice for AI Search Agencies for Citation Architecture Strategy?
  • Why did only two of seven AI platforms name CiteWorks Studio during the ranking stage?

CiteWorks Studio qualified because two platforms named it during ranking discovery, and both placed it first. Grok and openai each listed the agency at rank 1 for this use case, producing an average listed rank of 1.0 and a 28.6% share of the seven included platform responses. The remaining five platforms evaluated fit but did not name the entity in their ranking output, so the mention count is deliberately narrow.

The qualification rests on service alignment rather than independent validation. CiteWorks Studio markets GEO, AI search visibility, technical SEO, citation architecture, content strategy, source-layer research, and reporting [6]. Its citation architecture page describes mapping and strengthening the owned and third-party sources AI systems use as evidence, including articles, directories, reviews, comparison pages, videos, and community discussions [7].

One platform could not confirm the company at all. Kimi reported no discoverable public information about CiteWorks Studio's services, pricing, team, or capabilities, and treated the website as unverified [10]. DeepSeek recorded that official-site retrieval failed during its pass and labeled identity details as facts to verify rather than established evidence [11]. Those findings are preserved here rather than averaged away.

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

Questions This Section Answers

  • Which CiteWorks Studio service should a buyer choose for citation architecture strategy across publishers and comparison sites?
  • Does CiteWorks Studio offer a standardized citation architecture plan with fixed scope, or only custom-scoped engagements?

The relevant offer is CiteWorks Studio's citation architecture service, delivered alongside its GEO and AI search visibility program and a Visibility Audit. The exact ranking-stage product label — "AI Search Optimization Services - Citation Architecture" — is not presented on the official site as a standardized public plan with fixed scope, and the requested product name combines several service labels [12]. Buyers should treat the label as a service description, not a packaged SKU.

The citation architecture service maps owned and third-party sources, identifies source influence, benchmarks competitors, strengthens owned sources, develops third-party sources, and measures citation movement [14]. The AI citation architecture resource page defines the work as connecting owned content, third-party mentions, technical SEO, structured data, entity clarity, and semantic authority into what the company calls a machine-readable authority footprint [15].

The Visibility Audit is the entry point. It reviews AI answers, cited sources, recommendation placement, third-party articles, directories, reviews, comparison pages, industry sources, videos, communities, public mentions, competitor source footprints, and citation gaps [18]. The audit identifies where a company is visible, where it is missing, where competitors are stronger, and what should be fixed first [19].

Execution combines embedding-level GEO, vector optimization, cosine gap analysis, citation architecture, technical SEO, entity clarity, and content strategy [20]. The company also offers white-label GEO services and an agency partner program for firms that want to resell citation architecture work [22].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree on about CiteWorks Studio's citation architecture methodology?
  • Which AI answer platforms does CiteWorks Studio claim to optimize for?

The strongest area of agreement is scope: the platforms that reviewed CiteWorks Studio consistently describe an agency that works on the external evidence layer, not just the client's own website. The citation architecture service maps and strengthens owned and third-party sources across articles, directories, reviews, comparison pages, videos, and community discussions [24].

Platform coverage is also described consistently. CiteWorks Studio states it optimizes visibility across ChatGPT, Gemini, Perplexity, Copilot, Claude, Google AI Overviews, and Google AI Mode, measured through Share of Voice and Recommendation Strength [28]. A company case study reports citation and mention tracking across AI Overviews, ChatGPT, Gemini, AI Mode, Perplexity, and Copilot [29].

The audit-led sequence drew agreement as well. Multiple platforms describe an engagement that begins with diagnosis — visibility and citation audits, prompt-cluster mapping, cited-page review, competitor source footprints — before corrective execution [30]. Google's response summarized the same closed-loop structure spanning technical SEO, content structure, and source-layer authority [34].

Agreement here reflects consistent company messaging, not verified performance. Most supporting citations are company-owned pages, and the platforms largely restated the vendor's own descriptions.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate CiteWorks Studio as uncertain rather than a strong fit?
  • Is CiteWorks Studio's official website verifiable, and does the company have independent third-party validation?

Fit ratings split sharply. Anthropic, Google, and Grok rated CiteWorks Studio a strong fit; OpenAI and Perplexity rated it good; DeepSeek and Kimi rated it uncertain (fit_ratings_by_platform). The disagreement tracks verification, not service description.

Kimi reported zero discoverable public documentation of services, team, or client work, and could not verify the supplied product name against any source [35]. DeepSeek recorded official-site retrieval failure at the ranking stage and stated that identity, location, size, and service specifics could not be corroborated from the site itself in that pass [36]. Both platforms recommended full diligence before shortlisting.

Company history is contested. One directory listing cited by Anthropic shows CiteWorks on topseos.com with a founding year of 2014 and 15+ employees, while the website positions the company as a contemporary AI-focused advisory; the founding date cannot be verified from official sources [37]. Google's response describes a distributed team with a registered headquarters in Wyoming, an operations hub in San Diego, and a recruiting footprint in Pune, India, citing a job listing for a Head of AI Visibility Product role [38].

Outcome evidence is company-reported. The job board case study claims a 71% increase in brand mentions in AI visibility [39], and homepage and case-study metrics are company-reported with no independent corroboration identified in the reviewed sources [40]. A third-party review page summarizes the agency's focus areas but is platform-reported rather than verified performance data [41].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • What specific deliverables does CiteWorks Studio include in a citation architecture engagement?
  • How does CiteWorks Studio measure citation and recommendation changes over time?

For this use case, the relevant capabilities cluster into five areas.

Source mapping and gap analysis. The service maps owned and third-party sources, identifies source influence, benchmarks competitors, and measures citation movement [42]. The Visibility Audit reviews third-party articles, directories, review platforms, comparison pages, industry sources, YouTube, social profiles, Reddit, community discussions, public mentions, competitor source footprints, and citation gaps [43].

Competitive AI positioning. The company translates keyword demand into prompt demand, analyzes how AI systems respond, compares cited client and competitor pages, and identifies content and framing gaps affecting recommendation strength [44]. It also identifies which prompts and sources competitors are winning [45].

Technical and entity work. Deliverables include technical SEO, schema, entity clarity, content strategy, content refreshes, new pages, and reporting [46]. The methodology combines embedding-level GEO, vector optimization, cosine gap analysis, citation architecture, technical SEO, entity clarity, content strategy, source-layer authority, and corrective-action execution [48].

Measurement framework. The company measures through Share of Voice and Recommendation Strength rather than keyword rankings alone [49]. Google's response describes dedicated metrics including Valid Recommendation Coverage, top-three recommendation rate, and net sentiment score [50]. The reviewed pages do not fully disclose reproducible measurement protocols or expected causal impact [52].

Execution model. CiteWorks states clients may use a hybrid model in which the studio supplies audit, intelligence, strategy, and specialist execution while collaborating with an internal marketing team or existing agency [47]. It also supports agencies that want to offer GEO and citation architecture without building the backend in-house [53].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does CiteWorks Studio cost for a citation architecture engagement, and is any pricing published?
  • What contract, cancellation, and refund terms apply to a CiteWorks Studio citation architecture retainer?

No verified public price, package fee, minimum engagement, hourly rate, or retainer amount was identified for the citation architecture, AI search optimization, or Visibility Audit services [54]. Pricing confidence is low across every platform that examined it.

What is documented is the structure. CiteWorks Studio's terms state that proposals and SOWs describe scope of work, fees and billing model (retainer, project, performance-based, or hybrid), and expected timelines and milestones [56]. Fees are exclusive of taxes, payment processor fees, and third-party platform costs such as ad spend, which are the client's responsibility [56]. Payment terms are typically 7 days from invoice date, and invoices may be issued monthly in advance (official:C2).

Cancellation and refund terms are restrictive. Fees are generally non-refundable once services have been initiated, except as explicitly stated in the applicable Service Agreement or required by law (official:C2). Late payments may trigger suspension of services or interest at the maximum rate permitted by law or 1.5% per month, whichever is lower (official:C2). CiteWorks may terminate or suspend services immediately for non-payment, material breach, or unlawful use (official:C2).

Deliverable ownership is defined. Upon full payment, clients receive a perpetual, non-exclusive license to use final deliverables created specifically for them, while CiteWorks may retain copies for internal records, portfolio use, and legal compliance (official:C2). Unless the client forbids it in writing, CiteWorks may reference the client's brand name and logo and use non-confidential summaries of work and results in marketing materials and case studies (official:C2). Liability is capped at fees paid under the relevant Service Agreement in the preceding 3, 6, or 12 months, depending on the term (official:C2).

Unclear cost components include whether publisher, directory, review, digital PR, content production, platform, travel, or third-party placement costs are billed separately, and whether AI search measurement or tool usage is included or passed through [54]. No verified public contract duration, minimum term, renewal, cancellation, notice period, refund policy, service-level agreement, or ownership terms were identified beyond the general terms [54].

Best Suited For

Questions This Section Answers

  • Which types of companies get the most value from CiteWorks Studio's citation architecture service?
  • Is CiteWorks Studio a good fit for agencies that want white-label GEO and citation architecture delivery?

CiteWorks Studio is best suited to companies that want an audit-led strategy mapping AI-visible sources, citation gaps, competitors, and source-layer authority before execution [57]. That includes high-consideration brands needing coordinated technical SEO, content, entity clarity, and third-party source work, and companies or agencies seeking hybrid strategy plus specialist execution or white-label support [57].

Platform responses add specificity. Anthropic's best-fit list includes B2B SaaS and enterprise companies needing measurable AI visibility across ChatGPT, Gemini, Perplexity, Copilot, Claude, Google AI Overviews, and Google AI Mode, plus brands seeking citation appearance through semantic authority and source-layer credibility [58]. Grok highlights brands in high-consideration categories requiring source-layer authority across comparison sites, reviews, directories, and industry resources [59]. Google frames the fit for enterprise brands establishing a credible third-party evidence layer and closing category citation gaps against competitors [60].

Agencies are an explicit segment. CiteWorks Studio offers an Agency Partner Program, White-Label GEO Services, AI Search Audits for Agencies, and Citation Architecture for Agency Clients [62]. It supports agencies that want to offer GEO, AI search visibility, citation architecture, technical SEO, content execution, and AI market intelligence without building the full backend in-house [63].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose CiteWorks Studio for citation architecture strategy?
  • Is CiteWorks Studio a poor fit for buyers who need published pricing or self-service tools?

Buyers requiring published, standardized pricing or a self-service product are a poor fit [64]. The same applies to buyers seeking independently validated performance benchmarks or guaranteed inclusion in AI answers, and organizations needing a narrowly scoped citation-placement vendor rather than an integrated SEO, GEO, content, and authority program [64].

Anthropic's exclusion list adds companies with minimal budget for strategic consulting, brands needing quick-turn tactical citation wins without a foundational audit phase, organizations prioritizing traditional keyword-ranking SEO over AI-mediated recommendation visibility, and very early-stage companies without established customer outcomes or measurable business metrics [65]. Grok excludes buyers seeking only traditional keyword SEO without AI/GEO focus and buyers needing fixed-price or self-serve tools instead of custom agency services [66].

Google's exclusions are narrower: early-stage startups with minimal public domain authority or existing PR, hyperlocal retail businesses whose visibility depends almost entirely on proximity maps, and buyers looking for low-cost automated SEO link packages without strategic oversight [67]. Kimi, which could not verify the company, recommends against risk-averse procurement teams and buyers needing immediate agency comparison [68].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to CiteWorks Studio for a buyer who needs published pricing and month-to-month terms?
  • When should a buyer choose a specialist digital PR or publisher-relations firm instead of CiteWorks Studio?

Several alternatives were named with published pricing. Citevora offers GEO content architecture, source/citation readiness, entity/authority signals, and citation analysis from $1,250–$3,000 per month [69]. GlowCite publishes Foundation ($3,250/mo) and Authority ($4,500/mo) plans with LLMs.txt, schema, citation tracking, and citable content pieces [70]. Rankite starts at $900 per month on a month-to-month basis, with audit ($750), content rewriting ($1,200), schema ($650), digital PR ($900), and tracking ($400) line items [71]. Citable publishes Baseline Review (€1,800), Opportunity Audit (€3,800), and Program Audit (€5,400) tiers with 90-day roadmaps [72]. Clear Cited publishes fixed public pricing with Growth, Scale, and Authority tiers [73].

Choose a transparent self-service AI visibility platform when the buyer needs published pricing, direct access to prompt monitoring, and internal execution rather than an agency [74]. Choose a specialist digital PR, publisher-relations, or review-management firm when the primary requirement is obtaining placements or managing relationships on specific authoritative domains [74]. Choose an established SEO/content agency with independently audited case studies when procurement requires third-party validation, formal SLAs, or extensive enterprise references [74].

Independent commentary offers a broader frame. One review argues AI citation agencies in 2026 should treat AI citation as a first-class objective rather than a quarterly add-on to a Google-first engagement [75]. Another lists LLMReach, Profound, Goodie AI, Accelerate Agency, and boutique GEO consultants as the agencies doing the most credible LLM citation work in 2026 [76]. A SaaS-focused buyer's guide frames the category around getting brands named inside ChatGPT, Perplexity, Claude, and Google AI Overviews when buyers ask category questions [77]. These are independent review opinions, not verified performance rankings.

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with CiteWorks Studio before signing a citation architecture contract?
  • How can a buyer verify CiteWorks Studio's deliverables, references, and measurement methodology before committing budget?

The platforms converged on a similar diligence list. Buyers should confirm which exact AI platforms, countries, languages, prompt volumes, and competitor sets are included in the audit and ongoing reporting [78]. They should ask whether the deliverable provides a prioritized source map identifying target publishers, comparison sites, directories, review platforms, forums, videos, and owned assets, with rationale and outreach or remediation actions [78].

Scope boundaries matter. Buyers should ask whether CiteWorks secures or creates third-party placements or only diagnoses and recommends them, and what work is performed by CiteWorks versus the client, existing agency, freelancers, publishers, or other vendors [78]. They should also ask what claims or tactics are excluded and how the agency avoids paid, low-quality, manipulative, or undisclosed citation practices [78].

Commercial terms need direct confirmation. Buyers should request the audit fee, implementation fee, monthly retainer, minimum term, renewal and cancellation terms, and any separate content, outreach, media, platform, or placement costs [78]. They should confirm who owns research, content, accounts, tracking data, dashboards, and created assets if the engagement ends [78].

Verification questions are the most contested. Buyers should ask for relevant U.S. references and independently verifiable before-and-after evidence for citation architecture engagements [78]. They should confirm how source quality, citation accuracy, recommendation placement, prompt coverage, and changes over time are measured [78]. DeepSeek recommends confirming a live, retrievable official website and legal entity or registration details confirming U.S. operation, given that official-site retrieval failed in its pass [80]. Kimi recommends cross-checking company registration and business history in relevant state records [81].

Final AI Consensus Verdict

CiteWorks Studio is a good fit for AI Search Agencies for Citation Architecture Strategy, with moderate factual uncertainty. Two of seven platforms named it during ranking discovery, both at rank 1, and its publicly described services align closely with the use case: audit-led citation architecture spanning publishers, comparison sites, directories, reviews, videos, community discussions, and owned assets [82].

The uncertainty is concentrated in verification, not fit. Pricing is unpublished and confidence is low across every platform that examined it [86]. Outcome claims are company-reported [89]. One platform could not retrieve the official site and found no public documentation of the company [91], and another recorded official-site retrieval failure at the ranking stage [92]. Company founding history is contested between a directory listing and the website [83].

Procurement should remain conditional on verifying scope, measurable methodology, third-party execution capabilities, pricing, contract terms, and independently verifiable results [86]. Buyers who need published pricing, fixed-scope packages, or independently audited case studies should compare the alternatives named above before committing. Buyers who want an audit-led, integrated source-layer program and can absorb a custom-scoping process have a credible specialist candidate.

How This Review Was Produced

This review evaluates CiteWorks Studio only for the use case of AI Search Agencies for Citation Architecture Strategy. It draws on fit-research responses from seven platforms — anthropic, deepseek, google, grok, kimi, openai, and perplexity — collected for a study dated 2026-09-18. Each platform independently assessed the entity against the same use case and returned fit ratings, strengths, limitations, pricing findings, and verification questions.

Ranking statistics reflect only platforms that named the entity during ranking discovery. Two platforms did so, both at rank 1. The remaining five evaluated fit without naming the entity in their ranking output, so their assessments inform the qualitative sections but not the mention count.

Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in the supplied catalog, so company claims should not be read as independently validated. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. No personal testing, customer experience, or independent verification was performed for this review.

Methodology Limitations

Several limitations apply. Platform-reported research dates differ from the authoritative run date: DeepSeek's response is dated 2026-01-15 and OpenAI's is dated 2026-09-17, while the study date is 2026-09-18. Those dates are provenance metadata and do not independently prove freshness.

DeepSeek ran with search disabled, so its findings are model-reported rather than retrieved. Kimi reported that no public information about CiteWorks Studio was discoverable and treated the website as unverified [93]. DeepSeek recorded official-site retrieval failure at the ranking stage and instructed that failed fetches not be used as verified domain keys [94]. A product-labeled company mention was merged using matching company-name and supplied-domain signatures, and the normalization note warns these are facts to verify rather than established evidence.

Pricing, contract terms, geographic operating details, staffing, publisher access, and third-party placement policies remain unclear across the reviewed sources [95]. The website uses advanced concepts such as embedding-level GEO, vector optimization, and cosine gap engineering, but the reviewed pages do not fully disclose reproducible measurement protocols or expected causal impact [95]. Citation architecture can improve source coverage and authority signals but cannot guarantee that any AI platform will cite, recommend, or rank the buyer [95].

Explore more ai search geo agencies guidance in the category directory.

Sources

Company-Owned Sources

Independent Sources

  • 5 Skale Alternatives Built for GEO and AI Citation (2026: https://derivatex.agency/blog/skale-alternatives/
  • 8 AI Citation Agencies for SaaS Buyer's Guide in 2026 - Growthner: https://growthner.com/blog/ai-citation-agencies-for-saas/
  • CiteWorks Studio Review: What 9 AI Platforms Say: https://llmauthorityindex.com/ai-search-agencies/citeworks-studio-review
  • 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 evidence95 records
    1. AI research evidence record openai:citeworks_architecture
    2. AI research evidence record anthropic:1-1
    3. AI research evidence record perplexity:c1
    4. AI research evidence record kimi:search_negative_2026
    5. AI research evidence record deepseek:c1
    6. AI research evidence record openai:citeworks_home
    7. AI research evidence record grok:1
    8. AI research evidence record perplexity:c1
    9. AI research evidence record anthropic:5-1
    10. AI research evidence record kimi:search_negative_2026
    11. AI research evidence record deepseek:c1
    12. AI research evidence record openai:citeworks_home
    13. AI research evidence record openai:citeworks_services
    14. AI research evidence record perplexity:c1
    15. AI research evidence record anthropic:1-6
    16. AI research evidence record anthropic:1-12
    17. AI research evidence record perplexity:c2
    18. AI research evidence record openai:citeworks_audit
    19. AI research evidence record anthropic:22-4
    20. AI research evidence record anthropic:5-3
    21. AI research evidence record perplexity:c6
    22. AI research evidence record anthropic:3-1
    23. AI research evidence record anthropic:2-1
    24. AI research evidence record grok:1
    25. AI research evidence record perplexity:c1
    26. AI research evidence record anthropic:5-1
    27. AI research evidence record anthropic:5-12
    28. AI research evidence record anthropic:5-4
    29. AI research evidence record anthropic:4-10
    30. AI research evidence record openai:citeworks_aiopt
    31. AI research evidence record anthropic:22-1
    32. AI research evidence record anthropic:26-3
    33. AI research evidence record grok:0
    34. AI research evidence record google:2.3.8
    35. AI research evidence record kimi:search_negative_2026
    36. AI research evidence record deepseek:c1
    37. AI research evidence record anthropic:1-1
    38. AI research evidence record google:2.4.4
    39. AI research evidence record anthropic:27-1
    40. AI research evidence record openai:citeworks_cases
    41. AI research evidence record perplexity:c9
    42. AI research evidence record perplexity:c1
    43. AI research evidence record openai:citeworks_audit
    44. AI research evidence record anthropic:28-4
    45. AI research evidence record anthropic:28-1
    46. AI research evidence record openai:citeworks_services
    47. AI research evidence record openai:citeworks_aiopt
    48. AI research evidence record anthropic:6-4
    49. AI research evidence record anthropic:5-4
    50. AI research evidence record google:1.2.5
    51. AI research evidence record google:2.1.9
    52. AI research evidence record openai:citeworks_home
    53. AI research evidence record anthropic:2-1
    54. AI research evidence record openai:citeworks_home
    55. AI research evidence record anthropic:36-2
    56. AI research evidence record grok:12
    57. AI research evidence record openai:citeworks_home
    58. AI research evidence record anthropic:5-4
    59. AI research evidence record grok:1
    60. AI research evidence record google:1.2.2
    61. AI research evidence record google:2.1.3
    62. AI research evidence record anthropic:3-1
    63. AI research evidence record anthropic:2-1
    64. AI research evidence record openai:citeworks_home
    65. AI research evidence record anthropic:5-4
    66. AI research evidence record grok:0
    67. AI research evidence record google:1.2.2
    68. AI research evidence record kimi:search_negative_2026
    69. AI research evidence record kimi:citevora_2026
    70. AI research evidence record kimi:glowcite_2026
    71. AI research evidence record kimi:rankite_2026
    72. AI research evidence record kimi:citable_2026
    73. AI research evidence record kimi:clearcited_2026
    74. AI research evidence record openai:citeworks_home
    75. AI research evidence record anthropic:38-3
    76. AI research evidence record anthropic:46-1
    77. AI research evidence record anthropic:43-1
    78. AI research evidence record openai:citeworks_home
    79. AI research evidence record anthropic:36-2
    80. AI research evidence record deepseek:c1
    81. AI research evidence record kimi:search_negative_2026
    82. AI research evidence record openai:citeworks_architecture
    83. AI research evidence record anthropic:1-1
    84. AI research evidence record perplexity:c1
    85. AI research evidence record grok:1
    86. AI research evidence record openai:citeworks_home
    87. AI research evidence record anthropic:36-2
    88. AI research evidence record grok:12
    89. AI research evidence record anthropic:27-1
    90. AI research evidence record openai:citeworks_cases
    91. AI research evidence record kimi:search_negative_2026
    92. AI research evidence record deepseek:c1
    93. AI research evidence record kimi:search_negative_2026
    94. AI research evidence record deepseek:c1
    95. AI research evidence record openai:citeworks_home

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
September 18, 2026
Platforms analyzed
7
Source records
44
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#1

Research trail and source mix

Configured platforms

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

Source mix

5 independent · 39 company-owned

Evidence support

27 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 bd92eb765eb9ae0f0f44ac650cd2cfd2ee1d1d96d994f0927249e1d1bfaf2cde