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Veza Digital AI Search Audit Fit Review for B2B Companies

Veza Digital is a good fit for B2B marketing and revenue teams that want a managed, strategy-oriented AI search audit rather than a self-service monitoring tool.

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

Answer Capsule

Veza Digital is a good fit for B2B marketing and revenue teams that want a managed, strategy-oriented AI search audit rather than a self-service monitoring tool. Two of the seven platforms in this study named Veza Digital during the ranking stage — Anthropic and Google — and both placed it in the top two, giving it an average listed rank of 1.5 and a best rank of 1. The strongest reason to consider it is the $4,500 AI Search Visibility Audit, which bundles custom buyer prompts, six-platform citation tracking, three-competitor benchmarking, entity mapping, and a 90-day prioritized roadmap. The main limitation is that nearly all capability and pricing evidence is company-owned, with no independent validation of audit accuracy or outcomes.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 included platforms (Anthropic, Google)
Share of included platform responses28.6%
Average listed rank1.5
Best listed rank1
Relevant product/model/planAI Search Visibility Audit ($4,500); optional ongoing WAIO service from $8,000/month
Overall use-case fitGood (per OpenAI, Anthropic, Perplexity); Strong (Grok); Mixed (Google, Kimi); Uncertain (DeepSeek)
Research date2026-09-18

Why Veza Digital Qualified for This Study

Questions This Section Answers

  • Is Veza Digital a good choice for AI Search Audits for B2B Companies?
  • How many AI platforms recommended Veza Digital for B2B AI search audits?

Veza Digital qualified because two of the seven platforms evaluated in this study named it during ranking discovery, and both placed it near the top of their recommendations. Anthropic listed it at rank 2 and Google listed it at rank 1, producing an average listed rank of 1.5 and a best rank of 1. That is a narrow but high-quality showing: only 28.6% of included platform responses surfaced the company, so this is not broad consensus.

The platforms that named Veza Digital converged on the same reason: a productized audit that maps directly to B2B buying-journey research. Google described the $4,500 AI Search Visibility Audit as a 30-page diagnostic with 30 days of continuous platform tracking across ChatGPT, Perplexity, Google AI Overviews, Gemini, Claude, and Copilot, plus competitor benchmarking, entity gap analysis, technical SEO review, and a 90-day action plan [1]. Anthropic described the same deliverable set, adding that the report includes citation analysis, technical readiness scores, content audit, and an entity map [2].

The remaining five platforms still evaluated Veza Digital's fit even though they did not name it in the ranking stage. Their verdicts ranged from "strong" (Grok) to "uncertain" (DeepSeek), which is why this review treats the fit as good but conditional rather than settled. The full ranking context is available in the AI Search Audits for B2B Companies consensus index.

The Product, Model, Plan, or Service Most Relevant to AI Search Audits for B2B Companies

Questions This Section Answers

  • Which Veza Digital plan should a B2B buyer choose if they need citation analysis and competitor benchmarking?
  • Does the Veza Digital AI Search Visibility Audit cover buying-journey prompts, or only brand monitoring?

The relevant offer is the AI Search Visibility Audit, a fixed-price engagement publicly listed at $4,500 [4]. Veza Digital states that the audit uses a custom prompt set derived from target keywords, competitor analysis, sales-team input, and industry buyer questions, typically testing 50 to 100 prompts across six AI platforms [4]. That prompt construction method is the single most direct match to the stated use case, because it is built around vendor-discovery and comparison questions rather than generic brand monitoring.

The audit is positioned as a diagnostic, not an implementation engagement. Veza Digital's broader WAIO (Web AI Optimization) methodology covers AI search visibility, conversion optimization, technical foundations, data instrumentation, content and digital PR, agents, semantic HTML, structured data, content retrieval patterns, and governance [8]. The audit feeds into that service but is sold and delivered separately, and Veza states the report belongs to the buyer whether or not they continue [9].

One naming caution: Veza Digital (the B2B marketing agency) shares a corporate name with Veza, an identity security platform. Anthropic flagged that search results occasionally conflate the two companies, and all pricing and capability claims in this review refer to Veza Digital at vezadigital.com [11].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree the Veza Digital audit actually includes?
  • Is the Veza Digital AI Search Visibility Audit price of $4,500 confirmed across platforms?

The clearest agreement is on the audit's headline scope and price. OpenAI, Anthropic, Grok, and Perplexity all describe a $4,500 fixed-price audit with a 30-page report, 30 days of tracking, competitor benchmarking, and a 90-day roadmap [12]. Google independently describes the same $4,500 price and 30-page report structure [16]. That is five of seven platforms converging on the same core commercial facts.

Platforms also agreed on the six-platform coverage. Anthropic, Google, and OpenAI all state that tracking spans ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot [17]. Anthropic and OpenAI both describe 30 days of continuous tracking rather than a point-in-time snapshot, with Anthropic noting the stated rationale is to capture real citation patterns and competitive positioning [18].

There was also agreement that the report is client-owned with no audit lock-in. Anthropic and OpenAI both report that the buyer owns the report outright and can execute the roadmap independently or with another agency [19]. Grok repeats the same ownership term [14].

Agreement here reflects consistent platform reporting, not verified product quality. Every one of these claims traces back to Veza Digital's own pages.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Veza Digital as only a mixed or uncertain fit for B2B AI search audits?
  • Is Veza Digital's website currently operational, and does that affect the audit purchase?

The sharpest disagreement is about operational stability. Google reported that in September 2026, industry findings noted Veza Digital's primary domain redirected to a GoDaddy domain-for-sale page, and that operational assets appeared consolidated under the Veza Agency Network (VAN) and getwaio.com [21]. No other platform reported this. Google rated the overall fit "mixed" partly on that basis. Buyers should verify the contracting entity and delivery domain directly before paying, because this is a single-platform report that the other six did not corroborate.

Pricing for the ongoing service is genuinely unresolved. Anthropic states WAIO engagements are 12-month contracts at $8,000/month minimum with setup and migration costs from $28,000 [23]. Google states retainer programs start at $8,000/month with Growth Club tiers from $15,000+/month and enterprise retainers from $30,000/month [24]. Perplexity found a conflicting public page referencing a one-time $5,000 WAIO offer path with refundable deposit language, and could not verify a consistent recurring monthly price [25]. Kimi reported the audit as a prerequisite for the ongoing service with no published refund policy [26]. These are material conflicts, not rounding differences.

DeepSeek rated the fit "uncertain" and disclosed that its research ran without search enabled, so its assessment rests on ranking-stage descriptions rather than retrieved pages [27]. Its research date was 2026-02-14, seven months before the authoritative study date. Treat DeepSeek's contribution as the weakest evidence in this review.

Kimi also raised a cost objection: it called $4,500 the highest audit price in its competitive set and noted that lower-priced alternatives publish prompt counts, engine coverage, and sample outputs [28]. No platform disputed the audit's scope; the disagreement is about transparency and price-to-evidence ratio.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does the Veza Digital audit include citation architecture mapping and entity analysis?
  • How many competitors does the Veza Digital AI Search Visibility Audit benchmark against?

The audit maps to all six stated evaluation criteria, according to platform-reported company materials. Recommendation analysis is covered through the custom prompt set and manual testing of brand mentions and recommendations across six AI platforms with competitive gap analysis [31]. Competitor benchmarking covers up to three competitors across those platforms, producing a competitive gap map showing queries and topics where competitors appear and the buyer is absent [31].

Citation and source intelligence is the most detailed claim. Veza states it measures which platforms cite the brand, citation frequency, query context, citation accuracy, citation stability, and competitor citation patterns over 30 days, using Ahrefs Brand Radar and custom prompt testing as inputs [31]. Perplexity noted that public pages describe tracking how a brand is cited but do not clearly expose a detailed citation-architecture mapping framework or scoring methodology [35]. Kimi went further, calling citation architecture mapping a distinctive but undefined claim that may or may not differ materially from competitors' competitor citation maps [37].

Citation architecture and entity mapping are documented at the schema level. The deliverable includes an entity map covering company, products, people, services, and categories, plus review of Organization, Person, Service, FAQPage, and BreadcrumbList schema, semantic HTML, hierarchy, and AI crawler access [31]. Google described the WAIO framework as entity-first content architecture with six or more JSON-LD schema types and continuous LLM response testing [41].

Content-gap analysis covers 20 to 30 top pages reviewed for answer-first structure, entity paragraphs, FAQ schema, data tables, definition blocks, freshness, and extraction readiness, then identifies buyer topics where the company has no coverage and competitors are cited [31]. The prioritized strategy is a 90-day roadmap organized into quick wins, structural fixes, content work, and ongoing off-site activity, with stated impact and effort estimates for each item [43].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does the Veza Digital AI Search Visibility Audit cost, and is the fee credited toward ongoing service?
  • What is the minimum contract term and total first-year cost for Veza Digital's WAIO service?

The audit price is the best-supported commercial fact in this review. Five platforms report $4,500 as a fixed price for the AI Search Visibility Audit [46]. Veza states there are no additional audit fees on the reviewed page, and that implementation, media, content production, development, analytics configuration, or third-party software costs may require separate confirmation [46].

The credit term is reported consistently by OpenAI and Anthropic: if the buyer moves into a WAIO engagement within 60 days of receiving the audit, the $4,500 is credited in full toward the first WAIO month [46]. Grok repeats the same 60-day condition [48]. Veza also states the audit becomes the onboarding step if the buyer moves to WAIO [53].

Ongoing costs are where the evidence breaks down. Anthropic reports a 12-month minimum at $8,000/month with setup and migrations from $28,000 [52]. Google reports retainers from $8,000/month with higher tiers at $15,000+/month and $30,000/month [54]. Perplexity found a conflicting one-time $5,000 WAIO offer path with refundable deposit language and could not verify a consistent recurring price [55]. Kimi reported no published refund policy and no indication that the audit fee credits against ongoing service [56]. OpenAI noted WAIO minimum term, cancellation notice, renewal, deliverable cadence, pass-through costs, and service-level terms are unclear [46].

At the reported $8,000/month floor on a 12-month term, first-year ongoing cost would exceed $96,000 before setup. That figure is platform-reported and unverified, and the conflicting $5,000 offer page means buyers should not treat any ongoing price as settled.

Best Suited For

Questions This Section Answers

  • Who gets the most value from the Veza Digital AI Search Visibility Audit?
  • Is Veza Digital a good fit for a B2B team that wants a board-ready diagnostic rather than a monitoring dashboard?

Veza Digital is best suited to B2B companies that need an executive-ready diagnostic and a prioritized implementation plan rather than software. OpenAI describes the best-fit buyer as a B2B company that needs an executive-ready diagnostic and prioritized plan, has three defined competitors, and has enough sales input to build a relevant buying-journey prompt set [57]. Anthropic adds that the audit is designed as a board-ready business case and can be executed independently by an internal team or another agency [58].

It also fits teams that value continuous tracking patterns over point-in-time snapshots. Anthropic specifically names companies that value 30-day tracking patterns to identify seasonal or anomalous citation behavior [60]. Grok frames the same strength as protection against the non-deterministic fluctuation of LLM outputs [61].

A third fit is organizations planning a Webflow migration or redesign. Anthropic reports that Webflow clients receive deeper technical recommendations and can have fixes like schema implementation, AI crawler configuration, or content restructuring implemented directly as part of a WAIO engagement [62]. Google similarly highlights deep structured-data work as a Veza strength [64].

Finally, the free entry point lowers commitment risk. Veza offers a Free AEO Audit delivered in five business days that outlines baseline citations, competitive gaps, and a prioritized action plan [65]. Buyers can test methodology before spending $4,500.

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Veza Digital for AI Search Audits for B2B Companies?
  • Is Veza Digital a poor fit for a B2B company with no existing SEO foundation?

Buyers seeking low-cost, self-service, continuously available software should look elsewhere. OpenAI lists this as a primary exclusion, and Anthropic names teams that prioritize ongoing SaaS monitoring subscriptions over a single-engagement audit model [67]. Kimi's comparison set includes audits at $29 to $2,100 with published prompt counts and sample outputs, which is a different product category entirely [69].

Companies without an established SEO foundation are also a poor fit. Veza states directly that AEO builds on SEO, and that if a site has no organic rankings, no backlink profile, and no content library, SEO should come first [72]. Anthropic and OpenAI both flag this as a limitation for the use case [75].

Teams needing hands-on implementation on non-Webflow systems should confirm delivery capability first. Veza states the audit scope is identical across CMS platforms, but that Webflow clients get deeper technical recommendations because that is where implementation expertise lives; for other platforms, Veza provides specs and the client team implements [77]. OpenAI lists the same constraint [67].

Procurement teams requiring published standard contract, cancellation, security, or data-processing terms will struggle. OpenAI states these are unclear [67], and Kimi reports no published cancellation policy or prorated refund terms [80]. Buyers needing under-four-week turnaround should also note the stated six-week timeline, which Veza says cannot be compressed without losing pattern data [81].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Veza Digital for a B2B buyer who needs real-time AI visibility monitoring?
  • When should a B2B buyer choose a lower-cost AI search audit over Veza Digital?

Choose a self-service AI visibility monitoring platform when the primary need is continuous dashboards, alerts, API access, or lower marginal cost rather than consulting interpretation [83]. Anthropic names Profound, Otterly.ai, and Ahrefs Brand Radar as better alternatives if the buyer prioritizes ongoing SaaS monitoring over diagnostic depth [84]. Kimi's comparison set points to BeCited at $199 to $2,000 with 100 to 300 prompts and quarterly re-run options, and MonitorAEO at $29 to $79 with published engine heatmaps and 200 AI answers [85].

Choose a platform-neutral audit provider when avoiding the possibility that recommendations align with the provider's own downstream WAIO services [83]. Perplexity makes the same point, noting the public site blends audit, AEO/GEO, and WAIO services, which makes it harder to isolate the standalone audit boundary [87].

Choose a specialist technical SEO or content agency when the buyer needs large-scale implementation across many domains, languages, or non-Webflow systems [83]. Anthropic adds that buyers requiring analysis of five or more named competitors at once should look elsewhere, since Veza benchmarks against three [90].

Choose an SEO or enterprise analytics consultancy with independently documented measurement methodology when procurement requires third-party validation, formal experimentation, or complex attribution [83]. DeepSeek's "uncertain" rating rests on the same gap: it could not confirm the audit's methodology from independently verifiable sources [91].

Questions to Verify Before Buying

The platforms surfaced a consistent verification list. Buyers should confirm the exact prompt list, buyer stages, personas, geographies, and competitor set, and whether they can approve revisions [92]. They should ask how many prompt-platform observations will be collected, at what cadence, and how personalized, unavailable, or contradictory answers are handled [92]. They should confirm what exactly counts as a citation, recommendation, source mention, competitor appearance, or accurate citation [92].

On deliverables, buyers should ask whether they receive query-level raw outputs, source URLs, timestamps, screenshots or transcripts, confidence indicators, and export or API access [92]. They should ask how differences across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, and Copilot are normalized [92]. They should request a redacted sample report for a comparable B2B client [93].

On commercial terms, buyers should confirm whether the $4,500 credit applies to every WAIO scope and what written conditions govern the 60-day window [92]. They should ask for the WAIO minimum term, cancellation notice, renewal policy, monthly deliverable schedule, and total expected first-year cost [92]. They should ask whether third-party tools such as Ahrefs Brand Radar are included, transferred to the buyer, or billed separately [92].

Two additional items come from single platforms. Google recommends confirming which legal entity and domain will contract and deliver the audit, given the reported domain redirect [95]. Anthropic recommends confirming what work is included for non-Webflow sites and which fixes require the buyer's developers or another vendor [96].

Final AI Consensus Verdict

Veza Digital is a good fit for B2B marketing and revenue teams that want a managed, strategy-oriented AI search audit with citation analysis, competitor benchmarking, entity mapping, and a prioritized 90-day roadmap. The $4,500 AI Search Visibility Audit is the strongest match to the stated use case, and its price and core scope are the best-corroborated facts in this review, appearing across five platforms.

The fit is conditional in three ways. First, nearly all capability evidence is company-owned, and no platform located independent validation of audit accuracy, citation-detection performance, or customer outcomes. Second, ongoing WAIO pricing and contract terms are genuinely unresolved, with conflicting reports of $8,000/month, $15,000+/month, $30,000/month, and a one-time $5,000 offer path. Third, one platform reported a domain redirect to a registrar sale page in September 2026, which no other platform corroborated but which buyers should verify directly.

Buyers who need real-time monitoring economics, independently audited measurement, or hands-on implementation outside Webflow should evaluate alternatives first. Buyers who want expert interpretation and an actionable plan, and who can absorb a six-week timeline, will find the audit well aligned. The ai search audits market intelligence directory lists the full provider set evaluated in this study.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms: OpenAI (gpt-5.6-luna), Anthropic (claude-haiku-4-5-20251001), Google (gemini-3.5-flash), Grok (x-ai/grok-4.3), Perplexity (perplexity/sonar), Kimi (moonshotai/kimi-k2.6), and DeepSeek (deepseek-v4-flash). Each platform was asked which AI search audit providers it would recommend for B2B companies and why, using the same prompt and evaluation criteria.

Two of the seven platforms named Veza Digital during ranking discovery. All seven produced fit assessments. Verdicts were: strong (Grok), good (OpenAI, Anthropic, Perplexity), mixed (Google, Kimi), and uncertain (DeepSeek). The authoritative research date for this study is 2026-09-18.

Methodology Limitations

Platform-reported research dates differ from the authoritative run date. DeepSeek's research date was 2026-02-14, roughly seven months earlier, and DeepSeek disclosed that its research ran without search enabled, so its assessment rests on ranking-stage descriptions rather than retrieved pages [97]. Treat that contribution as the weakest evidence here.

Company-owned citations materially outnumber independent citations in the supplied evidence. Veza Digital's own pages supply the detailed capability, pricing, and deliverable claims. Independent sources are limited to a client spotlight, a GEO agency roundup, a Webflow agency directory, and an AI visibility profile [98]. None of these independently validate audit accuracy or outcomes.

The supplied URLs were collected from platform responses and were not independently validated at the writing stage. Citations are platform-reported evidence, not verified facts. Where a platform supplied no citation for a factual claim, that claim is labeled platform-reported or unverified in the text.

Several material conflicts remain unresolved and are not reconciled here: ongoing WAIO pricing, the relationship between the $4,500 audit and the broader WAIO service, whether the audit can be purchased standalone, and the reported domain redirect. Missing research was not treated as disagreement. Platform agreement on scope and price reflects consistent reporting, not proof of product quality.

Sources

Company-Owned Sources

Independent Sources

  • Veza Digital — AI Visibility Profile (85/100) | HarperFlow: https://www.harperflow.io/webflow-agencies/veza-digital
  • 10 Best GEO Agencies for B2B AI Visibility in 2026: https://www.poweredbysearch.com/learn/best-geo-agencies/
  • Additional AI research evidence103 records
    1. AI research evidence record google:veza_audit_page
    2. AI research evidence record anthropic:1-30
    3. AI research evidence record anthropic:31-17
    4. AI research evidence record openai:c1
    5. AI research evidence record anthropic:13-7
    6. AI research evidence record grok:web:2
    7. AI research evidence record perplexity:1
    8. AI research evidence record openai:c2
    9. AI research evidence record anthropic:13-16
    10. AI research evidence record anthropic:22-7
    11. AI research evidence record anthropic:8-11
    12. AI research evidence record openai:c1
    13. AI research evidence record anthropic:13-9
    14. AI research evidence record grok:web:2
    15. AI research evidence record perplexity:1
    16. AI research evidence record google:veza_audit_page
    17. AI research evidence record anthropic:1-7
    18. AI research evidence record anthropic:1-9
    19. AI research evidence record anthropic:13-35
    20. AI research evidence record anthropic:31-30
    21. AI research evidence record google:flow_hive
    22. AI research evidence record google:van_about
    23. AI research evidence record anthropic:22-2
    24. AI research evidence record google:veza_pricing
    25. AI research evidence record perplexity:5
    26. AI research evidence record kimi:vezadigital-1
    27. AI research evidence record deepseek:c1
    28. AI research evidence record kimi:profitec-1
    29. AI research evidence record kimi:monitoraeo-1
    30. AI research evidence record kimi:trirankai-1
    31. AI research evidence record openai:c1
    32. AI research evidence record grok:web:2
    33. AI research evidence record anthropic:1-3
    34. AI research evidence record anthropic:13-9
    35. AI research evidence record perplexity:1
    36. AI research evidence record perplexity:3
    37. AI research evidence record kimi:vezadigital-1
    38. AI research evidence record anthropic:29-9
    39. AI research evidence record anthropic:31-37
    40. AI research evidence record anthropic:32-14
    41. AI research evidence record google:veza_aeo_page
    42. AI research evidence record anthropic:1-30
    43. AI research evidence record anthropic:13-23
    44. AI research evidence record anthropic:13-24
    45. AI research evidence record anthropic:13-25
    46. AI research evidence record openai:c1
    47. AI research evidence record anthropic:13-7
    48. AI research evidence record grok:web:2
    49. AI research evidence record perplexity:1
    50. AI research evidence record google:veza_audit_page
    51. AI research evidence record anthropic:13-14
    52. AI research evidence record anthropic:22-2
    53. AI research evidence record anthropic:13-15
    54. AI research evidence record google:veza_pricing
    55. AI research evidence record perplexity:5
    56. AI research evidence record kimi:vezadigital-1
    57. AI research evidence record openai:c1
    58. AI research evidence record anthropic:13-9
    59. AI research evidence record anthropic:13-35
    60. AI research evidence record anthropic:1-9
    61. AI research evidence record grok:web:2
    62. AI research evidence record anthropic:38-7
    63. AI research evidence record anthropic:38-8
    64. AI research evidence record google:it_supply_chain
    65. AI research evidence record google:veza_free_audit
    66. AI research evidence record perplexity:2
    67. AI research evidence record openai:c1
    68. AI research evidence record anthropic:1-9
    69. AI research evidence record kimi:monitoraeo-1
    70. AI research evidence record kimi:profitec-1
    71. AI research evidence record kimi:trirankai-1
    72. AI research evidence record anthropic:4-3
    73. AI research evidence record anthropic:32-21
    74. AI research evidence record anthropic:32-22
    75. AI research evidence record anthropic:32-23
    76. AI research evidence record anthropic:32-24
    77. AI research evidence record anthropic:38-6
    78. AI research evidence record anthropic:38-7
    79. AI research evidence record anthropic:38-9
    80. AI research evidence record kimi:vezadigital-1
    81. AI research evidence record anthropic:22-14
    82. AI research evidence record anthropic:22-19
    83. AI research evidence record openai:c1
    84. AI research evidence record anthropic:1-9
    85. AI research evidence record kimi:becited-1
    86. AI research evidence record kimi:monitoraeo-1
    87. AI research evidence record perplexity:3
    88. AI research evidence record perplexity:11
    89. AI research evidence record perplexity:13
    90. AI research evidence record anthropic:1-3
    91. AI research evidence record deepseek:c1
    92. AI research evidence record openai:c1
    93. AI research evidence record grok:web:2
    94. AI research evidence record deepseek:c1
    95. AI research evidence record google:flow_hive
    96. AI research evidence record anthropic:38-9
    97. AI research evidence record deepseek:c1
    98. AI research evidence record anthropic:8-11
    99. AI research evidence record perplexity:13
    100. AI research evidence record anthropic:30-2
    101. AI research evidence record google:it_supply_chain
    102. AI research evidence record google:flow_hive
    103. AI research evidence record perplexity:8

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
26
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#4

Research trail and source mix

Configured platforms

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

Source mix

5 independent · 21 company-owned

Evidence support

21 direct · 5 partial

Important limitation

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

Source snapshot SHA-256 f7be02b2d6084fb1e705a776e2b3055ce7fe85d41ef483761cb492bd5f7ec5e0