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AI Consensus Fit Review

Veza Digital AI Search Audit Fit Review for Regulated Industries

Veza Digital is a mixed fit for AI Search Audits for Regulated Industries.

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

Answer Capsule

Veza Digital is a mixed fit for AI Search Audits for Regulated Industries. Three of seven platforms named it during ranking discovery, and it finished first overall on average rank, but fit ratings split across the panel: two platforms rated it good, three mixed, one weak, and one uncertain. The strongest reason to consider it is a concrete, fixed-price AI Search Visibility Audit covering six AI platforms, roughly 50–100 custom prompts, 30 days of tracking, three-competitor benchmarking, raw citation data, and a 90-day roadmap. The main limitation is that no reviewed public source verifies regulated-industry specialization, compliance review workflows, security certifications, or sector-specific references.

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (anthropic, google, perplexity)
Share of included platform responses42.9%
Average listed rank5.33
Best listed rank2 (perplexity)
Relevant product/model/planAI Search Visibility Audit; AI Search Visibility Audit with 30-Day Tracking and Competitor Benchmarking
Overall use-case fitMixed
Research date2026-09-18

Rank positions by platform: perplexity ranked Veza Digital 2nd, google 4th, and anthropic 10th [1]. The remaining four platforms evaluated fit but did not name the entity during ranking discovery.

Why Veza Digital Qualified for This Study

Questions This Section Answers

  • Is Veza Digital a good choice for AI Search Audits for Regulated Industries?
  • How many AI platforms recommended Veza Digital for regulated-industry AI search audits?

Veza Digital qualified because it offers a named, purchasable audit product that maps directly to the study criteria, and because three of seven platforms surfaced it during ranking discovery. Its AI Search Visibility Audit is publicly described as covering recommendation and citation measurement, competitor benchmarking, technical and content review, entity analysis, and a prioritized improvement roadmap [5].

The company also cleared the study's minimum-mention threshold of two platforms. It appeared in the ranking stage on anthropic, google, and perplexity, with an average listed rank of 5.33 and a best listed rank of 2 [8]. Its final rank of 1 reflects the study's aggregation, not a unanimous panel verdict.

Qualification does not equal endorsement. The panel split on fit: google and grok rated Veza Digital good, openai, anthropic, and perplexity rated it mixed, deepseek rated it weak, and kimi rated it uncertain. That distribution is the central finding of this review.

The Product, Model, Plan, or Service Most Relevant to AI Search Audits for Regulated Industries

Questions This Section Answers

  • Which Veza Digital plan is most relevant for a regulated company that needs citation tracking and competitor benchmarking?
  • Does Veza Digital's AI Search Visibility Audit cover ChatGPT, Perplexity, Gemini, and Google AI Overviews?

The most relevant offer is the AI Search Visibility Audit, sold as a fixed-price, one-time engagement. Veza Digital's public page lists it at $4,500 and describes a 30-page report, 30 days of tracking, benchmarking against three competitors, a 20–30-page technical and content review, raw data, a 90-day action plan, and a 60-minute strategy call [10].

Platform coverage is described as manual testing across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot [14]. The prompt set is described as approximately 50–100 custom prompts built from target keywords, competitor keywords, sales-team input, and industry buyer questions, with buyer approval before tracking [10].

A separate free AEO audit is also offered, described as a baseline citation check with competitive gap analysis and a prioritized action plan delivered in about five business days [14]. The relationship between the free and paid audits is not fully specified on public pages [13].

Naming is inconsistent across sources. The ranking-stage label reads "AI Search Visibility Audit with 30-Day Tracking and Competitor Benchmarking," while the public page uses "AI Search Visibility Audit" [10]. These appear to describe the same paid audit, but packaging should be confirmed in writing before purchase.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Veza Digital's audit includes for regulated-industry buyers?
  • Is Veza Digital's audit a one-time diagnostic or an ongoing monitoring service?

The panel agreed on the audit's core mechanics. Multiple platforms independently described the same deliverable set: six-platform citation and mention measurement, a custom prompt set, 30 days of continuous tracking, three-competitor benchmarking, technical and content review, entity analysis, and a 90-day prioritized action plan [18].

Platforms also agreed on the commercial shape. The audit is a one-time, fixed-price diagnostic rather than a subscription, and the buyer owns the report and underlying tracking results regardless of whether further work is purchased [18]. The stated delivery timeline is approximately six weeks from kickoff [23].

A third area of agreement is the audit's positioning as a pre-engagement diagnostic. Veza Digital frames it as a way to get the complete picture before committing to a broader engagement, and the report is described as portable to an internal team or another agency [24].

Agreement here reflects consistent vendor-owned documentation, not independent verification. Company-owned citations materially outnumber independent citations in this evidence set, and no reviewed source independently validated measurement accuracy or outcomes.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why do AI platforms disagree about whether Veza Digital is suitable for regulated industries?
  • Does Veza Digital have verified compliance certifications such as SOC 2 or HIPAA for its audit service?

The sharpest disagreement is the overall fit rating. Google rated Veza Digital good, citing its stated fintech, healthtech, and public-sector verticals and its privacy policy barring regulated client data from public generative AI tools [26]. Grok also rated it good, noting strong product alignment with a caveat about regulatory tailoring [28].

Deepseek rated it weak, finding no public evidence of SOC 2 Type II, GDPR data processing agreements, zero data retention, or data residency controls, and noting that pricing was not disclosed in its reviewed sources [30]. Kimi rated it uncertain, reporting that it could not retrieve Veza Digital's site at all and therefore could not verify compliance infrastructure [31].

Openai, anthropic, and perplexity all landed on mixed. They credited the audit's mechanics while flagging the absence of verified regulated-industry specialization, compliance review workflows, and security commitments [32].

Two factual conflicts are unresolved. First, pricing: most platforms report a $4,500 fixed price, while deepseek reported no published price and kimi reported none available [32]. Second, platform coverage: the audit page describes six platforms, while other Veza Digital pages use broader or different descriptions [32].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Veza Digital's audit measure influential source domains and citation quality for regulated content?
  • Can Veza Digital's audit flag regulatory or factual-risk exposure in AI-generated answers?

Recommendation and citation measurement is a documented strength. The audit is described as testing how a brand appears, is cited, or is omitted across six AI platforms, with baseline citation counts and competitive gaps [37].

Competitor benchmarking is included but bounded. The paid audit benchmarks against three competitors, and public descriptions do not specify whether competitors are selected by the buyer, by Veza Digital, or jointly [37].

Technical and content gap analysis is documented. The audit covers schema completeness, AI-crawler access, page speed, semantic HTML, entity mapping, and content gaps across a 20–30-page review [37]. Under the WAIO framework, Veza Digital describes deploying six or more structured data types per site [41].

Influential source-domain analysis is unclear. Public pages promise citation analysis, raw citation data, and entity analysis, but do not document a dedicated influential-source-domain ranking, source-quality scoring, or regulated-source verification methodology [37].

Factual-risk and regulatory-claim review are not documented. No reviewed public source describes hallucination-risk scoring, adverse-result escalation, correction workflows, or regulatory-claim review inside the audit [37].

Authority signals are also unclear. The audit includes entity analysis and technical review, but public materials do not document how E-E-A-T, byline credentials, or institutional trust signals are assessed for regulated sectors [40].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Veza Digital's AI Search Visibility Audit cost, and are there setup or cancellation fees?
  • What ongoing costs apply if a regulated buyer continues with Veza Digital's WAIO engagement?

The publicly listed price is $4,500 fixed for the AI Search Visibility Audit [46]. Pricing confidence varies by platform: anthropic, grok, and google reported high confidence, openai and perplexity moderate, and deepseek and kimi low or none [47].

Ongoing costs are documented for the optional continuation. Veza Digital lists a WAIO engagement at $8,000 per month, with the $4,500 audit fee credited in full toward the first month if that engagement begins within 60 days of receiving the audit [46]. Google reported AEO retainers starting at $8,000 per month with a 12-month duration and a minimum project size of $28,000 for full architectural migrations [54]. Anthropic reported setup and migrations starting at $28,000 and a three-month minimum WAIO commitment [53].

Contract terms are partly documented. Veza Digital states there is no lock-in and that the buyer owns the report outright even without further work [46]. Public pages do not state payment schedule, refund terms, rescheduling terms, confidentiality language, data-processing terms, or formal cancellation mechanics [46].

Additional fees are not publicly identified for the audit itself, but implementation, ongoing monitoring, content work, and off-site work may require a separate engagement with unclear scope and fees [46]. Deepseek reported no published price at all and described a free 20-minute audit call as a lead-generation entry point [51].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Veza Digital's AI Search Visibility Audit in a regulated company?
  • Is Veza Digital a good fit for a regulated company that wants a fixed-price baseline before committing to a retainer?

Veza Digital is best suited to regulated companies that want a one-time, human-led AI-search visibility baseline and a prioritized marketing and technical roadmap, and that can supply approved claims and internal compliance review [56].

It also fits B2B organizations with in-house compliance teams able to validate and adapt recommendations to regulatory standards [57]. Buyers who want raw tracking data and a report they can execute internally or hand to another agency are a stated fit [56].

Companies already on Webflow get the strongest downstream execution path, because Veza Digital's implementation expertise is deepest there [60]. Google described Veza Digital as serving fintech, healthtech, public sector, and blockchain verticals, and as an Enterprise Partner for Webflow supporting fintech brands [63].

Buyers who value a fixed-price entry point before deciding on a broader engagement are also a documented fit [65].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Veza Digital for AI Search Audits for Regulated Industries?
  • Is Veza Digital suitable for a healthcare or legal buyer that needs HIPAA, SOX, or bar-association compliance review?

Organizations requiring demonstrated healthcare, financial-services, insurance, legal, government, or pharmaceutical compliance expertise are not a documented fit [67].

Buyers needing contractual confidentiality, data-processing, security, audit-trail, or regulatory-control commitments that are not publicly documented should look elsewhere or negotiate those terms explicitly [67].

Teams needing continuous enterprise monitoring rather than a defined 30-day diagnostic are a poor fit for the standalone audit [67]. Organizations on non-Webflow platforms requiring direct technical implementation of recommendations receive specifications to implement independently rather than hands-on execution [68].

Buyers whose procurement cycles demand SOC 2 Type II reports, signed DPAs, or zero data retention policies should treat those as unverified until documented [70]. Kimi reported it could not retrieve Veza Digital's site at all and therefore could not verify any compliance infrastructure [73].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Veza Digital for a regulated buyer that needs documented compliance review?
  • When should a regulated buyer choose a compliance platform instead of Veza Digital's audit?

Choose a regulated-industry specialist or add independent regulatory and compliance review when the audit will influence public health, financial, insurance, legal, pharmaceutical, or government claims [74].

Named alternatives in the evidence include AI Search Engineers, described as targeting legal, medical, and financial services with a specialized AI Search Visibility Audit and AEO Verified certification [75]. This Is LD is described as running category-specific queries, documenting citation presence and accuracy, and mapping compliance review for healthcare, financial services, and pharmaceutical content [78]. Seven5 Seven3 Marketing Group is described as offering compliance-safe AI visibility for law firms, financial services, healthcare, and regulated industries [79].

Choose a dedicated enterprise AI-visibility monitoring platform when the buyer needs ongoing dashboards, larger prompt volumes, historical trend data, API access, or multi-brand governance [74].

Choose a compliance-first platform when procurement requires SOC 2 Type II evidence, GDPR data processing agreements, zero data retention, data residency, or auditor-ready framework exports. Platforms named in the evidence for those requirements include Linkup, Quox, VerifyWise, Audrex, Vero AI, and Clarista [82].

Choose an agency with documented security, confidentiality, data-processing, and sector-specific references when sensitive customer, patient, financial, or proprietary information will be shared [74].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a regulated buyer confirm with Veza Digital before signing a contract?
  • Can Veza Digital provide regulated-sector references and compliance review details before purchase?

Ask whether Veza Digital has completed AI Search Visibility Audits for law firms, medical practices, financial advisory firms, or other regulated entities, and request references or case studies [89].

Ask what exact prompts, jurisdictions, languages, user locations, personalization settings, and model versions will be tested, and whether the buyer approves all prompts and competitor selections [90].

Ask how citations, recommendations, omissions, source domains, source authority, factual accuracy, and harmful or noncompliant claims are scored [90].

Ask what data-retention, confidentiality, deletion, subcontractor, access-control, and data-processing terms apply, and whether Veza Digital can sign a GDPR-compliant DPA [90].

Ask whether the audit includes regulatory-approved source mapping, adverse-result escalation, correction workflows, and evidence preservation [90].

Ask what precisely is included in the 20–30-page site review and how multiple brands, domains, jurisdictions, and business units are handled [90].

Ask whether the $4,500 price, 60-day credit window, $8,000 monthly WAIO price, payment terms, and cancellation and refund terms are still current [90].

Ask whether the buyer receives machine-readable raw results, timestamps, full prompts, model outputs, source URLs, and a reproducible methodology [90].

Ask what ongoing monitoring or re-audit price applies after the initial 30-day period [90].

Ask whether Veza Digital holds SOC 2 Type II or equivalent independent audit evidence, and where audit queries are processed [93].

Final AI Consensus Verdict

Mixed fit. Veza Digital offers a comparatively concrete, human-led AI-search audit with six-platform testing, custom prompts, 30-day tracking, competitor benchmarking, raw data, technical and content analysis, and a prioritized roadmap at a stated $4,500 [98].

For regulated industries, the public evidence does not verify sector expertise, compliance review, security or privacy commitments, influential-source-domain methodology, or regulatory-safe governance [98]. Treat it as a marketing and technical visibility audit that requires buyer-side compliance controls or a specialist partner, not as evidence of regulatory compliance.

The panel's split — two good, three mixed, one weak, one uncertain — is itself the finding. Buyers in healthcare, financial services, insurance, or legal services should obtain written answers to the verification questions above before purchase, and should not treat platform agreement on audit mechanics as proof of regulated-industry suitability.

How This Review Was Produced

This review aggregates fit-research responses from seven AI platforms, each evaluating Veza Digital against the same prompt: which AI search audit providers would you recommend for a company in financial services, insurance, healthcare, legal services, or another high-trust industry, and why. The research date is 2026-09-18.

Three of seven platforms named Veza Digital during ranking discovery. All seven evaluated fit. Rankings were aggregated into an average listed rank of 5.33 and a best listed rank of 2, with a final rank of 1.

Platform fit ratings were: google and grok good; openai, anthropic, and perplexity mixed; deepseek weak; kimi uncertain. Citations are platform-reported evidence, not independently verified facts. Company-owned citations materially outnumber independent citations in this evidence set.

Methodology Limitations

Platform-reported dates are provenance metadata and do not independently prove freshness. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Company-owned sources dominate this evidence set. Veza Digital's own pages supply most of the product, pricing, and capability claims, and no reviewed source independently validated measurement accuracy, source-domain influence, regulated-industry performance, or customer outcomes.

Kimi reported that it could not retrieve Veza Digital's official website and that all its claims came from the prompt description rather than browsed sources [106]. Deepseek reported no published pricing [107]. These gaps are reported as platform findings, not as proof that the underlying facts are absent.

Pricing and inclusions can change. The research year is 2026, and publicly displayed pricing should be confirmed with a written quote and scope before purchase [108].

No platform reported personal testing of the audit, and no customer experience, guaranteed performance, or independent verification is claimed in this review.

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

Sources

Company-Owned Sources

  • Audrex — Autonomous Compliance Execution | Detect. Fix. Prove: https://audrex.ai/
  • Quox · Compliance Suite: audit-ready AI operations: https://quox.ai/compliance-suite
  • AI Visibility for Regulated Industries | Seven5 Seven3 Marketing Group: https://seven5seven3marketing.com/ai-visibility/
  • AI Visibility and GEO for Regulated Industries | Healthcare, Finance and Technology | This Is LD: https://thisisld.com/services/ai-visibility-geo/
  • AI governance platform: register, assess, govern, and monitor AI systems: https://verifywise.ai/platform
  • Compliance Monitoring for AI Apps | Clarista: https://www.clarista.io/platform/compliance
  • What is AI Search API Compliance and What Enterprise Teams Should Demand in 2026: https://www.linkup.so/blog/what-is-ai-search-api-compliance-and-what-enterprise-teams-should-demand-in-2026
  • AI Audit Platform for Every Compliance Framework: https://www.vero-ai.com/platform/ai-audit-platform
  • AI Search Visibility Audit - Veza Digital: https://www.vezadigital.com
  • AI search visibility - Veza Digital: https://www.vezadigital.com/ai-search-visibility
  • Veza Digital – AI Search Visibility Audit: https://www.vezadigital.com/ai-search-visibility-audit
  • Privacy Policy by Veza Digital: https://www.vezadigital.com/legal/privacy-policy
  • Answer Engine Optimization: The Complete AEO Guide for B2B Companies 2026: https://www.vezadigital.com/post/answer-engine-optimization
  • Free AEO Audit: AI Search Visibility Check: https://www.vezadigital.com/services/aeo-audit
  • Answer Engine Optimization (AEO) & GEO Agency: https://www.vezadigital.com/services/answer-engine-optimization
  • Official pricing and terms source: https://www.vezadigital.com/work-with-veza
  • Official pricing and terms source: https://www.vezadigital.com/legal/terms-of-service
  • Additional AI research evidence108 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:2-6
    3. AI research evidence record google:1.1.1
    4. AI research evidence record perplexity:c1
    5. AI research evidence record openai:c1
    6. AI research evidence record anthropic:2-14
    7. AI research evidence record perplexity:c1
    8. AI research evidence record anthropic:2-6
    9. AI research evidence record google:1.1.1
    10. AI research evidence record openai:c1
    11. AI research evidence record anthropic:2-6
    12. AI research evidence record grok:2
    13. AI research evidence record perplexity:c1
    14. AI research evidence record openai:c2
    15. AI research evidence record anthropic:2-7
    16. AI research evidence record grok:1
    17. AI research evidence record perplexity:c2
    18. AI research evidence record openai:c1
    19. AI research evidence record anthropic:2-14
    20. AI research evidence record grok:2
    21. AI research evidence record perplexity:c1
    22. AI research evidence record anthropic:2-21
    23. AI research evidence record anthropic:2-28
    24. AI research evidence record perplexity:c3
    25. AI research evidence record perplexity:c4
    26. AI research evidence record google:2.1.1
    27. AI research evidence record google:2.2.2
    28. AI research evidence record grok:2
    29. AI research evidence record grok:14
    30. AI research evidence record deepseek:c1
    31. AI research evidence record kimi:linkup-2026
    32. AI research evidence record openai:c1
    33. AI research evidence record anthropic:20-6
    34. AI research evidence record perplexity:c1
    35. AI research evidence record perplexity:c15
    36. AI research evidence record anthropic:2-7
    37. AI research evidence record openai:c1
    38. AI research evidence record perplexity:c6
    39. AI research evidence record grok:2
    40. AI research evidence record anthropic:2-14
    41. AI research evidence record google:1.2.4
    42. AI research evidence record perplexity:c1
    43. AI research evidence record anthropic:20-6
    44. AI research evidence record perplexity:c15
    45. AI research evidence record anthropic:20-20
    46. AI research evidence record openai:c1
    47. AI research evidence record anthropic:2-6
    48. AI research evidence record grok:2
    49. AI research evidence record perplexity:c1
    50. AI research evidence record google:1.1.1
    51. AI research evidence record deepseek:c1
    52. AI research evidence record kimi:linkup-2026
    53. AI research evidence record anthropic:2-19
    54. AI research evidence record google:1.2.4
    55. AI research evidence record anthropic:2-21
    56. AI research evidence record openai:c1
    57. AI research evidence record anthropic:2-14
    58. AI research evidence record perplexity:c3
    59. AI research evidence record anthropic:2-21
    60. AI research evidence record anthropic:20-7
    61. AI research evidence record anthropic:20-8
    62. AI research evidence record google:1.3.9
    63. AI research evidence record google:2.1.1
    64. AI research evidence record google:2.2.8
    65. AI research evidence record perplexity:c1
    66. AI research evidence record perplexity:c4
    67. AI research evidence record openai:c1
    68. AI research evidence record anthropic:20-6
    69. AI research evidence record perplexity:c15
    70. AI research evidence record deepseek:c1
    71. AI research evidence record perplexity:c1
    72. AI research evidence record anthropic:20-7
    73. AI research evidence record kimi:linkup-2026
    74. AI research evidence record openai:c1
    75. AI research evidence record anthropic:37-1
    76. AI research evidence record anthropic:40-4
    77. AI research evidence record anthropic:39-2
    78. AI research evidence record anthropic:40-1
    79. AI research evidence record anthropic:43-5
    80. AI research evidence record anthropic:43-6
    81. AI research evidence record perplexity:c1
    82. AI research evidence record kimi:linkup-2026
    83. AI research evidence record kimi:quox-2026
    84. AI research evidence record kimi:verifywise-2026
    85. AI research evidence record kimi:audrex-2026
    86. AI research evidence record kimi:vero-2026
    87. AI research evidence record kimi:clarista-2026
    88. AI research evidence record anthropic:20-6
    89. AI research evidence record anthropic:20-6
    90. AI research evidence record openai:c1
    91. AI research evidence record anthropic:2-7
    92. AI research evidence record perplexity:c1
    93. AI research evidence record deepseek:c1
    94. AI research evidence record kimi:linkup-2026
    95. AI research evidence record anthropic:2-14
    96. AI research evidence record anthropic:2-19
    97. AI research evidence record google:1.2.4
    98. AI research evidence record openai:c1
    99. AI research evidence record anthropic:2-14
    100. AI research evidence record grok:2
    101. AI research evidence record perplexity:c1
    102. AI research evidence record anthropic:20-6
    103. AI research evidence record perplexity:c15
    104. AI research evidence record deepseek:c1
    105. AI research evidence record kimi:linkup-2026
    106. AI research evidence record kimi:linkup-2026
    107. AI research evidence record deepseek:c1
    108. AI research evidence record openai:c1

Independent Sources

  • Top 8 Website development agencies for fintech Webflow sites 2026: https://lilbigthings.decicco.co
  • 10 Best B2B SaaS Webflow Agencies (2026: https://loudface.co
  • Veza Digital — AI Visibility Profile (85/100) | HarperFlow: https://www.harperflow.io/webflow-agencies/veza-digital
  • AI Search Engineers Launches AI Search Visibility Audit Targeting the Three Industries with the Highest AI Recommendation Gap: Legal, Medical, and Financial Services: https://www.newswire.com/news/ai-search-engineers-launches-ai-search-visibility-audit-targeting-the-three
  • Additional AI research evidence108 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:2-6
    3. AI research evidence record google:1.1.1
    4. AI research evidence record perplexity:c1
    5. AI research evidence record openai:c1
    6. AI research evidence record anthropic:2-14
    7. AI research evidence record perplexity:c1
    8. AI research evidence record anthropic:2-6
    9. AI research evidence record google:1.1.1
    10. AI research evidence record openai:c1
    11. AI research evidence record anthropic:2-6
    12. AI research evidence record grok:2
    13. AI research evidence record perplexity:c1
    14. AI research evidence record openai:c2
    15. AI research evidence record anthropic:2-7
    16. AI research evidence record grok:1
    17. AI research evidence record perplexity:c2
    18. AI research evidence record openai:c1
    19. AI research evidence record anthropic:2-14
    20. AI research evidence record grok:2
    21. AI research evidence record perplexity:c1
    22. AI research evidence record anthropic:2-21
    23. AI research evidence record anthropic:2-28
    24. AI research evidence record perplexity:c3
    25. AI research evidence record perplexity:c4
    26. AI research evidence record google:2.1.1
    27. AI research evidence record google:2.2.2
    28. AI research evidence record grok:2
    29. AI research evidence record grok:14
    30. AI research evidence record deepseek:c1
    31. AI research evidence record kimi:linkup-2026
    32. AI research evidence record openai:c1
    33. AI research evidence record anthropic:20-6
    34. AI research evidence record perplexity:c1
    35. AI research evidence record perplexity:c15
    36. AI research evidence record anthropic:2-7
    37. AI research evidence record openai:c1
    38. AI research evidence record perplexity:c6
    39. AI research evidence record grok:2
    40. AI research evidence record anthropic:2-14
    41. AI research evidence record google:1.2.4
    42. AI research evidence record perplexity:c1
    43. AI research evidence record anthropic:20-6
    44. AI research evidence record perplexity:c15
    45. AI research evidence record anthropic:20-20
    46. AI research evidence record openai:c1
    47. AI research evidence record anthropic:2-6
    48. AI research evidence record grok:2
    49. AI research evidence record perplexity:c1
    50. AI research evidence record google:1.1.1
    51. AI research evidence record deepseek:c1
    52. AI research evidence record kimi:linkup-2026
    53. AI research evidence record anthropic:2-19
    54. AI research evidence record google:1.2.4
    55. AI research evidence record anthropic:2-21
    56. AI research evidence record openai:c1
    57. AI research evidence record anthropic:2-14
    58. AI research evidence record perplexity:c3
    59. AI research evidence record anthropic:2-21
    60. AI research evidence record anthropic:20-7
    61. AI research evidence record anthropic:20-8
    62. AI research evidence record google:1.3.9
    63. AI research evidence record google:2.1.1
    64. AI research evidence record google:2.2.8
    65. AI research evidence record perplexity:c1
    66. AI research evidence record perplexity:c4
    67. AI research evidence record openai:c1
    68. AI research evidence record anthropic:20-6
    69. AI research evidence record perplexity:c15
    70. AI research evidence record deepseek:c1
    71. AI research evidence record perplexity:c1
    72. AI research evidence record anthropic:20-7
    73. AI research evidence record kimi:linkup-2026
    74. AI research evidence record openai:c1
    75. AI research evidence record anthropic:37-1
    76. AI research evidence record anthropic:40-4
    77. AI research evidence record anthropic:39-2
    78. AI research evidence record anthropic:40-1
    79. AI research evidence record anthropic:43-5
    80. AI research evidence record anthropic:43-6
    81. AI research evidence record perplexity:c1
    82. AI research evidence record kimi:linkup-2026
    83. AI research evidence record kimi:quox-2026
    84. AI research evidence record kimi:verifywise-2026
    85. AI research evidence record kimi:audrex-2026
    86. AI research evidence record kimi:vero-2026
    87. AI research evidence record kimi:clarista-2026
    88. AI research evidence record anthropic:20-6
    89. AI research evidence record anthropic:20-6
    90. AI research evidence record openai:c1
    91. AI research evidence record anthropic:2-7
    92. AI research evidence record perplexity:c1
    93. AI research evidence record deepseek:c1
    94. AI research evidence record kimi:linkup-2026
    95. AI research evidence record anthropic:2-14
    96. AI research evidence record anthropic:2-19
    97. AI research evidence record google:1.2.4
    98. AI research evidence record openai:c1
    99. AI research evidence record anthropic:2-14
    100. AI research evidence record grok:2
    101. AI research evidence record perplexity:c1
    102. AI research evidence record anthropic:20-6
    103. AI research evidence record perplexity:c15
    104. AI research evidence record deepseek:c1
    105. AI research evidence record kimi:linkup-2026
    106. AI research evidence record kimi:linkup-2026
    107. AI research evidence record deepseek:c1
    108. AI research evidence record openai:c1

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Study date
September 18, 2026
Platforms analyzed
7
Source records
25
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#1

Research trail and source mix

Configured platforms

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

Source mix

7 independent · 18 company-owned

Evidence support

21 direct · 3 partial

Important limitation

Use the run research_date as the study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Source snapshot SHA-256 b1c33811ffad6a5e1488a39402f5db8e10092732aecd7c0fd246720e274fc41f