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AI Consensus Fit Review

BeCited AI Search Audit Companies Overall Fit Review

BeCited is a good fit for buyers who want a one-time, human-reviewed audit of how their brand appears in AI answers across ChatGPT, Gemini, Perplexity, and Claude.

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

Answer Capsule

BeCited is a good fit for buyers who want a one-time, human-reviewed audit of how their brand appears in AI answers across ChatGPT, Gemini, Perplexity, and Claude. Two of seven platforms named BeCited during ranking discovery (deepseek and kimi), giving it a 28.6% share of included platform responses, an average listed rank of 3.5, and a best listed rank of 3. The strongest reason to consider it is the Full Audit's explicit focus on buying-intent prompts, competitor visibility, citation-source mapping, and a prioritized 90-day action plan. The main limitation is that BeCited is a single-brand, analyst-led, point-in-time service with no continuous monitoring, no API, no multi-brand workflow, and no independent third-party validation of its outcomes.

Research Snapshot

FieldValue
Platform mentions in ranking stage2 of 7 platforms (deepseek, kimi)
Share of included platform responses28.6%
Average listed rank3.5
Best listed rank3
Relevant product/model/planFull Audit ($2,000 one-time); Snapshot ($199 one-time) for preliminary assessment
Overall use-case fitGood (per openai, anthropic, perplexity, google); strong (grok); mixed (kimi); uncertain (deepseek)
Research date2026-09-18

Why BeCited Qualified for This Study

Questions This Section Answers

  • Is BeCited a good choice for AI Search Audit Companies that need prompt-level competitor and citation analysis?
  • How many AI platforms named BeCited during ranking discovery for AI Search Audit Companies?

BeCited qualified because it markets audit-style services that map directly to the study's evaluation criteria: recommendations, mentions, citations, important prompts, competitor performance, citation architecture, influential source domains, content and authority gaps, and practical improvement opportunities. Two of the seven included platforms named BeCited during ranking discovery — deepseek and kimi — which meets the study's minimum-mention threshold of two [1].

The remaining five platforms (openai, anthropic, perplexity, google, grok) evaluated BeCited's fit for this use case but did not name it in the ranking stage. That distinction matters: fit evaluation and ranking discovery are separate signals, and BeCited's 28.6% platform share reflects only the ranking stage.

BeCited's public materials describe a Full Audit covering 100–300 buying-intent prompts across four engines, a 0–100 visibility score, prompt-by-prompt analysis, a Source Influence Map, gap analysis, and a 90-day action plan [3]. That scope aligns closely with what the study's buyer is shopping for.

The Product, Model, Plan, or Service Most Relevant to AI Search Audit Companies

Questions This Section Answers

  • Which BeCited plan should a buyer choose for a comprehensive AI search audit across four engines?
  • Is the $199 BeCited Snapshot enough for an AI Search Audit Companies engagement, or is the $2,000 Full Audit required?

The Full Audit at $2,000 one-time is the relevant product for a comprehensive AI search audit. The Snapshot at $199 one-time is a narrow, single-engine entry point, not a substitute.

The Full Audit is described as testing 100–300 buying-intent prompts across ChatGPT, Gemini, Perplexity, and Claude, with a stated one-week delivery [7]. Stated deliverables include a BeCited Score, engine-by-engine breakdown, source map, gap analysis, and a 90-day action plan prioritized by impact and effort, plus a 45-minute strategy session [12].

The Snapshot is described as testing 10 buying-intent prompts on Perplexity only, returning a single-engine score and top priority moves, with 48-hour delivery and a $199 credit toward a Full Audit within 30 days [11]. For a buyer whose goal is cross-engine audit coverage, the Snapshot is a directional read rather than a full audit.

BeCited also lists a Quarterly option at $1,500 per quarter that re-runs the Full Audit every 90 days, and a project-based Relevance Engineering service typically priced at $8,000–$25,000 per engagement [16].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree BeCited actually delivers in an AI search audit?
  • Does BeCited cover ChatGPT, Gemini, Perplexity, and Claude in its Full Audit?

Platforms broadly agreed on BeCited's core scope: a human-reviewed, prompt-based audit of AI recommendations and citations across four named engines, delivered as a report rather than a dashboard.

Multiple platforms described the same four-engine coverage — ChatGPT, Gemini, Perplexity, and Claude — for the Full Audit [19]. Multiple platforms also described the same deliverable set: a visibility score, engine breakdown, source map, gap analysis, and a prioritized action plan [25].

Platforms agreed on the headline pricing structure: $199 one-time Snapshot, $2,000 one-time Full Audit, and $1,500 per quarter for Quarterly tracking [19].

Platforms also agreed that the audit is analyst-led rather than automated. BeCited states that every answer is personally reviewed and brand variants are matched manually [35]. This is company-published evidence, not independent verification.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate BeCited as uncertain or mixed for AI Search Audit Companies?
  • Is BeCited's audit methodology independently verified by third parties?

Fit ratings diverged. Grok rated BeCited a strong fit; openai, anthropic, perplexity, and google rated it a good fit; kimi rated it mixed; deepseek rated it uncertain [38].

The disagreement centers on verification and scale, not on scope. Deepseek stated that pricing and scope were not independently confirmed in its review and rated pricing confidence low [44]. Kimi flagged the absence of API access, self-serve dashboards, daily monitoring, and explicit hallucination detection, and noted that BeCited's site-readiness grade covers 14 signals versus 250+ for competitors such as Citare and TurboAudit [43].

A documented internal conflict exists on the site-readiness check count. BeCited's homepage and methodology-related materials describe 19 checks, while the case-studies page describes 15 [47]. Buyers should confirm the current count in writing.

Other unresolved items across platforms: whether prompts are collected through official APIs, public interfaces, or another method; prompt geography and localization handling; export formats; uptime or SLA commitments; enterprise security certifications; and the exact scope of the $199 Snapshot [39].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does BeCited map which source domains AI engines cite for a category?
  • Can BeCited's Full Audit identify content and authority gaps ranked by business impact?

BeCited's stated capabilities map closely to the study's audit criteria, with the strongest alignment on recommendations, prompts, competitor comparison, and citation-source mapping.

Recommendations and mentions. The Full Audit is described as measuring whether AI engines mention and recommend a business across 100–300 buying-intent prompts, with a 0–100 visibility score and prompt-by-prompt analysis [49].

Citation architecture and influential source domains. BeCited states the Full Audit maps every platform AI cites for the category and provides a Source Influence Map, with sources tiered by category-specific AI trust rather than general Domain Authority [52]. The exact weighting and source-selection rules are not fully disclosed in the public materials reviewed [54].

Competitor performance. The audit is described as scoring against real competitors with prompt-by-prompt gap analysis [56].

Content and authority gaps. Stated deliverables include prompt gaps ranked by revenue impact, root-cause analysis, and site-readiness checks covering robots.txt, llms.txt, JSON-LD schema, quotability, freshness, E-E-A-T, and entity readiness [49].

Practical opportunities. The 90-day action plan is described as prioritized by impact and effort, with most actions falling into claiming listings on influential platforms, creating content AI engines value, and strengthening review and community presence [59].

Manual quality control. BeCited reports a 72% blind inter-rater agreement and Cohen's kappa of 0.722 on its methodology page [52]. This is company-published evidence and has not been independently validated.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does BeCited cost for an AI search audit, and are there setup or cancellation fees?
  • What are BeCited's refund, cancellation, and renewal terms for the Full Audit and Quarterly plans?

BeCited's headline pricing is flat-fee and publicly listed, but refund, cancellation, and renewal mechanics are not clearly specified.

PlanPriceDeliveryScope
Snapshot$199 one-time48 hours10 buying-intent prompts, Perplexity only
Full Audit$2,000 one-time1 week100–300 prompts, 4 engines, strategy session
Quarterly$1,500 per quarterOngoingFull audit re-run every 90 days
Relevance EngineeringTypically $8,000–$25,000 per engagement4–8 weeksProject-based implementation

Sources: [61].

Contract and cancellation. BeCited's terms state payment is due upon engagement unless otherwise agreed, and provide a 14-day window after delivery to discuss an unsatisfactory deliverable — but they do not state a standard refund or cancellation policy [68]. Reports are licensed for internal business use and may not be resold, redistributed, or publicly shared without written permission [68].

Additional fees. No additional fees are publicly specified. Buyers should verify whether custom prompt development, extra engines, additional locations, data exports, or implementation support cost extra [61].

Ongoing costs. Quarterly tracking is described as ongoing, but renewal, cancellation notice, and auto-renewal mechanics are unclear [68]. The optional 30-day recheck after a Full Audit is referenced by one platform, but its pricing is not publicly disclosed [62].

Pricing confidence varies by platform. Openai, anthropic, grok, and google reported high pricing confidence; perplexity and kimi reported moderate; deepseek reported low, stating the vendor page content it reviewed did not independently confirm the exact figures [61].

Best Suited For

Questions This Section Answers

  • Who is BeCited best suited for among AI Search Audit Companies buyers?
  • Is BeCited a good fit for a mid-market SaaS or B2B services company running a first AI visibility baseline?

BeCited is best suited for single-brand buyers who want a one-time, analyst-reviewed diagnostic before committing to a broader AI visibility program.

Platforms most consistently identified these buyer profiles: mid-market SaaS and B2B service companies seeking a competitive baseline before launching a GEO program; teams with 100–300 buying-intent queries ready to audit who prioritize human accuracy over automation; and buyers who value direct analyst consultation and a collaborative 90-day action plan [71].

BeCited is also a reasonable fit for brands where citation accuracy and competitive differentiation carry material business risk, and for buyers who prefer a flat-fee audit over a subscription-first model [71].

The $199 Snapshot is positioned as a low-risk entry point for buyers who want to test the methodology before committing to the Full Audit, since the fee credits toward a Full Audit within 30 days [75].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose BeCited for AI Search Audit Companies?
  • Is BeCited suitable for agencies auditing multiple client brands at once?

BeCited is probably not the best fit for agencies, enterprises, or teams that need continuous monitoring, multi-brand workflows, or independently validated outcomes.

Platforms consistently flagged these exclusions: agencies auditing multiple client brands, since BeCited is designed for single-brand engagements [77]; teams requiring real-time or weekly continuous monitoring, since BeCited delivers a one-time audit plus optional recheck [80]; and enterprises needing automated workflows across 500+ prompts or daily tracking [82].

Also excluded: organizations requiring SOC 2 compliance, formal audit certifications, or dedicated hallucination-detection infrastructure [84]; buyers seeking API-first automation or integration into existing SEO and marketing platforms [84]; and buyers whose priority platforms fall outside ChatGPT, Gemini, Perplexity, and Claude [86].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to BeCited for a buyer who needs daily continuous AI visibility monitoring?
  • Which alternative to BeCited fits an agency auditing five or more client brands?

Another option may be better whenever the buyer's primary need is scale, continuity, or independent validation rather than a one-time expert-led audit.

Continuous monitoring. OtterlyAI, Searchable, and Semrush are described as offering weekly or daily citation tracking, share-of-voice trending, and real-time alerts [87]. Searchable is described as tracking 500 prompts with 45,000+ AI answers analyzed monthly [90].

Multi-brand workflows. Scrunch AI and AIclicks are described as built for agencies and teams auditing several brands at once [91].

Broader engine coverage. Enterprise platforms are described as tracking 500+ prompts with custom AI engine integrations including Microsoft Copilot and Grok [94].

Lower-cost or faster entry. Entry-level tools are described at $19.95/month for 120 prompts and $69.95/month for 600 prompts [95]. Kimi also identified TurboAudit ($39.99–$549.99/month), MonitorAEO ($79 full audit), and Citare (250+ technical signals) as alternatives for daily monitoring, hallucination detection, or deeper technical audit depth [96].

Comparable fixed-fee audits. Veza Digital's AI Search Visibility Audit is listed at $4,500 fixed price for 30 days of tracking [99].

Enterprise depth. Profound and Conductor are described as offering deep source investigation and competitive benchmarking, with Profound on custom pricing [100].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with BeCited before signing a contract for an AI search audit?
  • Does BeCited sign NDAs and how does it handle confidential competitive intelligence?

Platforms converged on a similar verification list. Buyers should confirm these items in writing before purchase.

Scope and deliverables. Exactly which site-readiness checks are included — the site describes both 19 and 15 in different places [102]. The exact prompt count within the stated 100–300 range and whether the buyer can review or modify the prompt set [104]. The exact scope of the $199 Snapshot versus the free 9-signal check [106].

Collection method. Whether ChatGPT, Gemini, Perplexity, and Claude are accessed through official APIs, public interfaces, or another method [107].

Localization. How prompts are localized for United States regions, industries, personas, and buyer journeys [107].

Outputs. What is delivered — raw answers, cited URLs, screenshots, structured data, CSV exports, or only an HTML report [107].

Commercial terms. Refund, cancellation, and renewal policy for the Snapshot, Full Audit, and Quarterly plan; whether the 30-day recheck is included or separately priced; and whether volume discounts exist for multiple brands or repeat audits [110].

Data handling. How confidential prompts, business information, audit results, and competitive intelligence are stored, deleted, and shared. BeCited's terms state anonymized aggregated data may be used for benchmarking, while the privacy policy states audit data and reports may be retained for trend tracking [111].

Evidence. What supports the reported confidence intervals and inter-rater reliability beyond BeCited's own methodology page, and whether reference customers can be provided [112].

Final AI Consensus Verdict

BeCited is a good fit for AI Search Audit Companies buyers who want a focused, human-reviewed, one-time audit of AI recommendations, mentions, citations, competitor visibility, and improvement priorities across four engines. Two of seven platforms named it during ranking discovery, and fit ratings ranged from strong to uncertain across the seven platforms that evaluated it.

The strongest case for BeCited is scope alignment: the Full Audit's stated deliverables map directly to the study's audit criteria, and the $2,000 flat fee is transparent and comparable to other fixed-fee audit providers. The strongest case against is verification and continuity: company-owned citations materially outnumber independent ones, no third-party reviews or benchmarks were located, and the service does not offer continuous monitoring, API access, multi-brand workflows, or enterprise compliance documentation.

Buyers who need a single-brand baseline audit with analyst interpretation should consider BeCited. Buyers who need scale, continuous tracking, multi-brand coverage, or independently validated outcomes should compare alternatives before committing.

How This Review Was Produced

This review evaluates BeCited only for the AI Search Audit Companies use case. It draws on platform fit-research responses from seven platforms — openai, anthropic, deepseek, grok, perplexity, kimi, and google — collected for a study dated 2026-09-18. Each platform independently assessed BeCited's fit against the study's audit criteria and supplied citations for its claims.

Two of the seven platforms named BeCited during ranking discovery. All seven evaluated its fit. Fit ratings were: strong (grok), good (openai, anthropic, perplexity, google), mixed (kimi), and uncertain (deepseek).

No personal testing, customer interviews, or independent verification of BeCited's methodology, pricing, or outcomes was performed for this review. All product claims are attributed to the platform or source that supplied them.

Methodology Limitations

Several limitations apply to this review.

Company-owned evidence dominates. Of the 27 deduplicated citations, 21 are company-owned and 6 are independent. BeCited's own product, methodology, case-study, and legal pages supply most of the factual basis. Company claims should not be read as independently verified.

No independent validation located. No third-party reviews (G2, Capterra, Trustpilot), industry benchmarks, or independently verified customer outcomes for BeCited were found in the sources checked [113]. BeCited is absent from 2026 industry roundups that rank OtterlyAI, Semrush, Peec AI, Profound, Scrunch AI, and Conductor [115].

Platform research dates differ. The authoritative run research date is 2026-09-18. Deepseek's platform-reported research date is 2026-06-30, and deepseek ran with search disabled, so its findings rest on ranking-stage data rather than retrieved vendor documentation [114]. Platform-reported dates are provenance metadata and do not independently prove freshness.

Documented conflicts remain unresolved. The site-readiness check count is described as both 19 and 15 across BeCited's own pages [117]. Prompt geography, localization, query-refresh frequency, collection method, export formats, uptime commitments, SLAs, API access, and enterprise security certifications are not clearly specified in the public materials reviewed [119].

Pricing confidence varies. Openai, anthropic, grok, and google reported high pricing confidence; perplexity and kimi reported moderate; deepseek reported low [119].

Supplied URLs were not independently validated. The source URLs in this review were collected from platform responses and were not independently validated by the writer stage.

Platform agreement is not a quality signal. That multiple platforms described similar scope does not prove BeCited's audit quality, accuracy, or business impact. It indicates that public materials describe similar offerings.

Explore more ai search audits market intelligence guidance in the category directory.

Sources

Company-Owned Sources

  • BeCited — AI Search Visibility Audit: https://becited.io/
  • About BeCited — One analyst, calibrated method, real audits: https://becited.io/about
  • AI Search Guide — How AI engines pick which brands to cite: https://becited.io/ai-search-guide
  • Query Fan-Out, Dense Retrieval, Pairwise Ranking - BeCited: https://becited.io/ai-search-guide/how-ai-mode-works
  • What is GEO? A Complete 2026 Guide | BeCited AI Search Guide: https://becited.io/ai-search-guide/what-is-geo
  • GEO Audit — Measure where you stand in AI search - BeCited: https://becited.io/audit
  • Case Studies — BeCited: https://becited.io/case-studies
  • FAQ — BeCited: https://becited.io/faq
  • Methodology — How BeCited keeps the audit honest: https://becited.io/methodology
  • Privacy Policy — BeCited: https://becited.io/privacy
  • Sample BeCited GEO Audit — what every audit looks like: https://becited.io/sample
  • Sample BeCited GEO Audit — what every audit looks like: https://becited.io/sample-report
  • Ridgeview Window Cleaning - Sample Snapshot - BeCited: https://becited.io/samples/ridgeview
  • Services — Audits, tracking, and relevance engineering | BeCited: https://becited.io/services
  • Relevance Engineering — Move the needle, not the dashboard: https://becited.io/services/relevance-engineering
  • Terms of Service — BeCited: https://becited.io/terms
  • TurboAudit — AI Search Audit & Visibility Platform: https://turboaudit.ai/
  • Site Audit — 250+ technical SEO + AI readiness checks | Citare: https://www.citare.ai/site-audit
  • Audit — AI visibility diagnostic | monitoraeo: https://www.monitoraeo.com/product/audit
  • Official pricing and terms source: https://becited.io#pricing
  • Additional AI research evidence123 records
    1. AI research evidence record deepseek:c1
    2. AI research evidence record kimi:becited-1
    3. AI research evidence record openai:c1
    4. AI research evidence record anthropic:5-2
    5. AI research evidence record anthropic:28-34
    6. AI research evidence record perplexity:c2
    7. AI research evidence record openai:c1
    8. AI research evidence record anthropic:5-2
    9. AI research evidence record anthropic:5-4
    10. AI research evidence record grok:0
    11. AI research evidence record perplexity:c2
    12. AI research evidence record anthropic:28-34
    13. AI research evidence record anthropic:28-37
    14. AI research evidence record perplexity:c10
    15. AI research evidence record google:1.2.8
    16. AI research evidence record perplexity:c4
    17. AI research evidence record perplexity:c14
    18. AI research evidence record grok:1
    19. AI research evidence record openai:c1
    20. AI research evidence record anthropic:5-2
    21. AI research evidence record anthropic:29-7
    22. AI research evidence record grok:0
    23. AI research evidence record perplexity:c7
    24. AI research evidence record google:1.1.1
    25. AI research evidence record anthropic:28-34
    26. AI research evidence record anthropic:28-37
    27. AI research evidence record perplexity:c2
    28. AI research evidence record perplexity:c10
    29. AI research evidence record google:1.2.3
    30. AI research evidence record anthropic:5-4
    31. AI research evidence record grok:1
    32. AI research evidence record perplexity:c1
    33. AI research evidence record perplexity:c4
    34. AI research evidence record google:1.1.2
    35. AI research evidence record openai:c2
    36. AI research evidence record anthropic:28-3
    37. AI research evidence record google:1.2.6
    38. AI research evidence record grok:0
    39. AI research evidence record openai:c1
    40. AI research evidence record anthropic:5-4
    41. AI research evidence record perplexity:c1
    42. AI research evidence record google:1.1.1
    43. AI research evidence record kimi:becited-1
    44. AI research evidence record deepseek:c1
    45. AI research evidence record kimi:citare-1
    46. AI research evidence record kimi:turboaudit-1
    47. AI research evidence record openai:c4
    48. AI research evidence record perplexity:c12
    49. AI research evidence record openai:c1
    50. AI research evidence record anthropic:5-2
    51. AI research evidence record kimi:becited-1
    52. AI research evidence record openai:c2
    53. AI research evidence record anthropic:28-34
    54. AI research evidence record perplexity:c6
    55. AI research evidence record perplexity:c10
    56. AI research evidence record perplexity:c12
    57. AI research evidence record grok:0
    58. AI research evidence record google:1.2.6
    59. AI research evidence record anthropic:28-37
    60. AI research evidence record anthropic:28-38
    61. AI research evidence record openai:c1
    62. AI research evidence record anthropic:5-4
    63. AI research evidence record grok:1
    64. AI research evidence record perplexity:c1
    65. AI research evidence record perplexity:c4
    66. AI research evidence record perplexity:c14
    67. AI research evidence record google:1.1.2
    68. AI research evidence record openai:c3
    69. AI research evidence record deepseek:c1
    70. AI research evidence record kimi:becited-1
    71. AI research evidence record anthropic:5-4
    72. AI research evidence record anthropic:28-3
    73. AI research evidence record perplexity:c1
    74. AI research evidence record google:1.1.1
    75. AI research evidence record perplexity:c2
    76. AI research evidence record google:1.2.8
    77. AI research evidence record anthropic:9-22
    78. AI research evidence record anthropic:20-4
    79. AI research evidence record kimi:becited-1
    80. AI research evidence record anthropic:2-12
    81. AI research evidence record anthropic:8-8
    82. AI research evidence record anthropic:8-2
    83. AI research evidence record anthropic:8-18
    84. AI research evidence record anthropic:5-4
    85. AI research evidence record kimi:monitoraeo-1
    86. AI research evidence record openai:c1
    87. AI research evidence record anthropic:2-12
    88. AI research evidence record anthropic:8-8
    89. AI research evidence record anthropic:22-9
    90. AI research evidence record anthropic:8-18
    91. AI research evidence record anthropic:9-22
    92. AI research evidence record anthropic:20-4
    93. AI research evidence record anthropic:20-5
    94. AI research evidence record anthropic:8-2
    95. AI research evidence record anthropic:4-3
    96. AI research evidence record kimi:turboaudit-1
    97. AI research evidence record kimi:monitoraeo-1
    98. AI research evidence record kimi:citare-1
    99. AI research evidence record anthropic:6-13
    100. AI research evidence record anthropic:2-10
    101. AI research evidence record anthropic:22-1
    102. AI research evidence record openai:c4
    103. AI research evidence record perplexity:c12
    104. AI research evidence record anthropic:5-4
    105. AI research evidence record kimi:becited-1
    106. AI research evidence record anthropic:37-30
    107. AI research evidence record openai:c1
    108. AI research evidence record google:1.1.1
    109. AI research evidence record deepseek:c1
    110. AI research evidence record openai:c3
    111. AI research evidence record openai:c5
    112. AI research evidence record openai:c2
    113. AI research evidence record anthropic:5-4
    114. AI research evidence record deepseek:c1
    115. AI research evidence record anthropic:22-1
    116. AI research evidence record anthropic:2-10
    117. AI research evidence record openai:c4
    118. AI research evidence record perplexity:c12
    119. AI research evidence record openai:c1
    120. AI research evidence record kimi:becited-1
    121. AI research evidence record grok:1
    122. AI research evidence record google:1.1.2
    123. AI research evidence record perplexity:c1

Independent Sources

  • 11 Best AI Search Audit Tools for B2B Brands (2026: https://outreachbloom.com/ai-search-audit-tools/
  • Best AI SEO Audit Tools for 2026: Top 15 Reviews: https://sintra.ai/blog/best-ai-seo-audit-tools
  • Pricing Plans for AI Search Visibility | Searchable: https://www.searchable.com/pricing
  • 12 Best AI Search Analytics Tools Under $100 (2026 Guide: https://www.useomnia.com/blog/ai-search-analytics-tools-under-100
  • Additional AI research evidence123 records
    1. AI research evidence record deepseek:c1
    2. AI research evidence record kimi:becited-1
    3. AI research evidence record openai:c1
    4. AI research evidence record anthropic:5-2
    5. AI research evidence record anthropic:28-34
    6. AI research evidence record perplexity:c2
    7. AI research evidence record openai:c1
    8. AI research evidence record anthropic:5-2
    9. AI research evidence record anthropic:5-4
    10. AI research evidence record grok:0
    11. AI research evidence record perplexity:c2
    12. AI research evidence record anthropic:28-34
    13. AI research evidence record anthropic:28-37
    14. AI research evidence record perplexity:c10
    15. AI research evidence record google:1.2.8
    16. AI research evidence record perplexity:c4
    17. AI research evidence record perplexity:c14
    18. AI research evidence record grok:1
    19. AI research evidence record openai:c1
    20. AI research evidence record anthropic:5-2
    21. AI research evidence record anthropic:29-7
    22. AI research evidence record grok:0
    23. AI research evidence record perplexity:c7
    24. AI research evidence record google:1.1.1
    25. AI research evidence record anthropic:28-34
    26. AI research evidence record anthropic:28-37
    27. AI research evidence record perplexity:c2
    28. AI research evidence record perplexity:c10
    29. AI research evidence record google:1.2.3
    30. AI research evidence record anthropic:5-4
    31. AI research evidence record grok:1
    32. AI research evidence record perplexity:c1
    33. AI research evidence record perplexity:c4
    34. AI research evidence record google:1.1.2
    35. AI research evidence record openai:c2
    36. AI research evidence record anthropic:28-3
    37. AI research evidence record google:1.2.6
    38. AI research evidence record grok:0
    39. AI research evidence record openai:c1
    40. AI research evidence record anthropic:5-4
    41. AI research evidence record perplexity:c1
    42. AI research evidence record google:1.1.1
    43. AI research evidence record kimi:becited-1
    44. AI research evidence record deepseek:c1
    45. AI research evidence record kimi:citare-1
    46. AI research evidence record kimi:turboaudit-1
    47. AI research evidence record openai:c4
    48. AI research evidence record perplexity:c12
    49. AI research evidence record openai:c1
    50. AI research evidence record anthropic:5-2
    51. AI research evidence record kimi:becited-1
    52. AI research evidence record openai:c2
    53. AI research evidence record anthropic:28-34
    54. AI research evidence record perplexity:c6
    55. AI research evidence record perplexity:c10
    56. AI research evidence record perplexity:c12
    57. AI research evidence record grok:0
    58. AI research evidence record google:1.2.6
    59. AI research evidence record anthropic:28-37
    60. AI research evidence record anthropic:28-38
    61. AI research evidence record openai:c1
    62. AI research evidence record anthropic:5-4
    63. AI research evidence record grok:1
    64. AI research evidence record perplexity:c1
    65. AI research evidence record perplexity:c4
    66. AI research evidence record perplexity:c14
    67. AI research evidence record google:1.1.2
    68. AI research evidence record openai:c3
    69. AI research evidence record deepseek:c1
    70. AI research evidence record kimi:becited-1
    71. AI research evidence record anthropic:5-4
    72. AI research evidence record anthropic:28-3
    73. AI research evidence record perplexity:c1
    74. AI research evidence record google:1.1.1
    75. AI research evidence record perplexity:c2
    76. AI research evidence record google:1.2.8
    77. AI research evidence record anthropic:9-22
    78. AI research evidence record anthropic:20-4
    79. AI research evidence record kimi:becited-1
    80. AI research evidence record anthropic:2-12
    81. AI research evidence record anthropic:8-8
    82. AI research evidence record anthropic:8-2
    83. AI research evidence record anthropic:8-18
    84. AI research evidence record anthropic:5-4
    85. AI research evidence record kimi:monitoraeo-1
    86. AI research evidence record openai:c1
    87. AI research evidence record anthropic:2-12
    88. AI research evidence record anthropic:8-8
    89. AI research evidence record anthropic:22-9
    90. AI research evidence record anthropic:8-18
    91. AI research evidence record anthropic:9-22
    92. AI research evidence record anthropic:20-4
    93. AI research evidence record anthropic:20-5
    94. AI research evidence record anthropic:8-2
    95. AI research evidence record anthropic:4-3
    96. AI research evidence record kimi:turboaudit-1
    97. AI research evidence record kimi:monitoraeo-1
    98. AI research evidence record kimi:citare-1
    99. AI research evidence record anthropic:6-13
    100. AI research evidence record anthropic:2-10
    101. AI research evidence record anthropic:22-1
    102. AI research evidence record openai:c4
    103. AI research evidence record perplexity:c12
    104. AI research evidence record anthropic:5-4
    105. AI research evidence record kimi:becited-1
    106. AI research evidence record anthropic:37-30
    107. AI research evidence record openai:c1
    108. AI research evidence record google:1.1.1
    109. AI research evidence record deepseek:c1
    110. AI research evidence record openai:c3
    111. AI research evidence record openai:c5
    112. AI research evidence record openai:c2
    113. AI research evidence record anthropic:5-4
    114. AI research evidence record deepseek:c1
    115. AI research evidence record anthropic:22-1
    116. AI research evidence record anthropic:2-10
    117. AI research evidence record openai:c4
    118. AI research evidence record perplexity:c12
    119. AI research evidence record openai:c1
    120. AI research evidence record kimi:becited-1
    121. AI research evidence record grok:1
    122. AI research evidence record google:1.1.2
    123. AI research evidence record perplexity:c1

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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
27
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#6

Research trail and source mix

Configured platforms

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

Source mix

6 independent · 21 company-owned

Evidence support

23 direct · 4 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 2b49ab3b6345abdc3986b50005a3e977c90004c86607f827b879c8b243cd517f