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AI Consensus Fit Review

Indexable AI AI Search Audit Fit Review for Publishers and Review Websites

Indexable AI is a good fit for enterprise publishers and review websites that want a fast, operator-led baseline of AI citation visibility, competitor presence, schema readiness, and a prioritized fix list.

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

Answer Capsule

Indexable AI is a good fit for enterprise publishers and review websites that want a fast, operator-led baseline of AI citation visibility, competitor presence, schema readiness, and a prioritized fix list. Two of seven platforms named it during ranking discovery — DeepSeek and Kimi, both at rank 1 — while all seven evaluated its fit. The strongest reason to consider it is the fixed-scope 14-Day AI Search Audit, which measures branded and non-branded prompts across six AI platforms and ends with a strategist-led workshop. The main limitation is that the audit price is not publicly disclosed, and publisher-specific metrics such as article-level citation rates and author authority are not clearly documented.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 platforms (DeepSeek, Kimi)
Share of included platform responses28.6%
Average listed rank1.0
Best listed rank1
Relevant product/model/plan14-Day AI Search Audit (also listed as "AI Search Audit — 14-Day Diagnostic")
Overall use-case fitGood (platform fit ratings: strong for Google and Grok; good for OpenAI, Anthropic, and DeepSeek; mixed for Perplexity; uncertain for Kimi)
Research date2026-09-18

Why Indexable AI Qualified for This Study

Questions This Section Answers

  • Is Indexable AI a good choice for an AI search audit of a publisher or review website?
  • How many AI platforms recommended Indexable AI for publisher AI search audits in 2026?

Indexable AI qualified because it offers a named, fixed-scope audit product that maps directly to the study's criteria: recommendation analysis, mention and citation measurement, competitor benchmarking, content and authority gaps, and a prioritized improvement roadmap. Its 14-Day AI Search Audit measures visibility across six AI platforms — ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and Google AI Mode — and produces a stack-ranked action plan [1].

Two of the seven included platforms named Indexable AI during ranking discovery, both at rank 1 (deepseek, kimi). The remaining five platforms evaluated its fit without naming it in their ranked lists. That distinction matters: a fit evaluation is not the same as a ranking endorsement.

The broader problem the audit addresses is documented independently. Search Engine Land reporting describes AI search bypassing publisher and affiliate-review content when user intent is satisfied by other crawlable sources or native AI answers [4]. That supports the use case generally, not Indexable AI's performance specifically.

The Product, Model, Plan, or Service Most Relevant to AI Search Audits for Publishers and Review Websites

Questions This Section Answers

  • Which Indexable AI plan is most relevant for a publisher that needs a one-time AI citation baseline?
  • Does the Indexable AI 14-Day AI Search Audit include schema analysis and a prioritized fix list?

The relevant offering is the 14-Day AI Search Audit, also described as the "AI Search Audit — 14-Day Diagnostic." It is a one-time, fixed-scope engagement delivered in 14 days [5].

Published scope includes measurement across six AI platforms, competitive citation tracking, a Brand/Technical/Content scorecard, a schema audit of the top 50 pages by traffic, fan-out coverage across ten query types, and a single prioritized fix list ranked by effort and impact [7]. Delivery ends with a 60-to-90-minute working session with a Forward Deployed SEO Strategist [12].

Indexable AI states that audit deliverables stand alone and can be used without purchasing the recurring platform [13]. The company also states that it does not claim ranking control, guaranteed citations, full model coverage, or perfect accuracy [14].

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree the Indexable AI 14-Day AI Search Audit actually measures?
  • Is the Indexable AI audit a one-time diagnostic or an ongoing monitoring subscription?

Agreement was strong on scope and delivery format. Multiple platforms independently described the same core elements: six-platform measurement, branded and non-branded prompt testing, competitive citation tracking, schema diagnostics, and a prioritized roadmap [15].

Platforms also agreed the audit is a one-time diagnostic rather than a monitoring platform. Anthropic, Perplexity, and Kimi each flagged the absence of ongoing measurement as a scope limitation [21].

A third area of agreement: deliverables are designed for immediate execution. Indexable AI states there is no 200-page report, only an actionable stack-ranked list intended to be executed starting Monday [23].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Indexable AI as uncertain or mixed for publisher audits?
  • Is Indexable AI's audit designed specifically for publishers and review websites?

Fit ratings diverged. Google and Grok rated the fit strong; OpenAI, Anthropic, and DeepSeek rated it good; Perplexity rated it mixed; Kimi rated it uncertain (fit_ratings_by_platform).

The sharpest disagreement concerns publisher specialization. The audit page targets enterprise brands, CMOs, growth leaders, and SEO/content heads, and does not identify publishers, review websites, affiliate sites, editorial standards, or newsroom workflows as a dedicated segment [25]. Perplexity reached the same conclusion, calling publisher fit "inferred rather than directly stated" [26]. Kimi went further, reporting that no independent reviews, third-party validation, or detailed capability documentation was found in its searched sources [27].

Platform coverage is also unreconciled. The audit page describes six AI platforms, while the separate pricing page describes recurring plans with seven-platform monitoring; the additional platform is not clearly identified for the diagnostic [25]. Anthropic noted the product page names only four platforms explicitly [30].

Influential source-domain analysis is uncertain. The audit description refers to citation tracking and competitive citation analysis but does not clearly promise a ranked analysis of influential source domains or source categories [25]. DeepSeek, by contrast, reported that the audit identifies authoritative domains influencing AI citation patterns [31] — a platform-reported claim not corroborated by the other platforms reviewed.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does the Indexable AI audit measure citation share and competitor visibility for publishers?
  • How does Indexable AI's 3-Legged GEO Stool framework score a publisher's AI readiness?

Recommendation and mention measurement is a stated advantage. The audit claims to measure how often a brand appears in buyer-question answers, compare branded and non-branded prompts, identify competitor wins, and calculate a citation gap and composite visibility score [32]. The public page does not specify sample size, repeat count, geography controls, or result export format [32].

Competitor benchmarking is included as competitive citation tracking, competitor share-of-voice comparison, and identification of prompts competitors win that the buyer misses [32]. The number of competitors included in the one-time audit is not published [32].

The 3-Legged GEO Stool framework scores Brand, Technical, and Content readiness on a 1-to-12 scale per leg, with 9+ described as the threshold for an AI citation moat [35]. Schema findings include company-reported citation lift figures of +45.6% for FAQPage and +46.2% for BreadcrumbList [38]. These are Indexable AI's own figures and were not independently verified in the reviewed sources.

Content and authority gap analysis covers a top-50-page schema inventory, fan-out coverage across ten query types, and prioritized structural fixes [40]. Publisher-specific authority factors — author credentials, review methodology, editorial freshness, corrections, and affiliate disclosures — are not clearly enumerated in the public materials [32].

Confidentiality and handoff: Indexable AI states that audit findings and reports are subject to mutual NDA and that deliverables remain available if the buyer does not proceed to the platform [32].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does the Indexable AI 14-Day AI Search Audit cost, and is the price published?
  • What are the contract terms and monthly costs if a publisher converts from the audit to Indexable AI's platform?

The audit price is not publicly stated on the reviewed audit page [42]. Pricing confidence across platforms was uniformly low.

Separately, Indexable AI publishes recurring platform tiers per domain per month: Growth $15,000, Scale $20,000, Enterprise $25,000, and Enterprise Plus $30,000+ [46]. These are platform prices, not confirmed prices for the diagnostic, and should not be treated as the same product price [42].

Contract terms for the recurring platform are described as standard 12-month agreements with quarterly review checkpoints, with six-month pilots available [46]. Audit-specific cancellation, payment, and refund terms are not publicly stated [42].

Indexable AI states that the audit investment rolls into the first month of platform engagement if the buyer proceeds, but the audit fee itself is not disclosed publicly [49]. Whether that roll-in is a credit or a discount is not clarified [49].

For external context, third-party pricing guides cited by platforms place one-time AI visibility audits at $1,500–$5,000 for mid-market done-for-you services and $8,000–$25,000 for professionally run engagements [50]. These are other providers' published benchmarks, not Indexable AI's price.

Best Suited For

Questions This Section Answers

  • Who gets the most value from the Indexable AI 14-Day AI Search Audit?
  • Is Indexable AI worth it for a large publisher that needs an executive-ready AI visibility baseline?

Best suited for enterprise or large review publishers that want a one-time, operator-led diagnostic across six AI search surfaces [52]. Teams prioritizing recommendation visibility, competitor benchmarking, schema diagnostics, content gaps, and an execution roadmap fit the published scope well [52].

Publishers with in-house SEO teams able to execute prioritized fixes without ongoing vendor support are a natural match, since deliverables are designed to be used standalone [55]. Organizations needing executive-ready reporting with board-level visibility metrics also align with the scorecard and workshop format [57].

Buyers willing to validate whether the fixed scope covers publisher-specific source eligibility and authority questions should treat that validation as a precondition, not an afterthought [52].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Indexable AI for a publisher AI search audit?
  • Is Indexable AI a poor fit for a small publisher with a limited budget?

Small publishers seeking transparent, self-serve, low-cost recurring monitoring are not well served [58]. Buyers requiring independently validated methodology, publicly reproducible sampling, or explicit publisher and review-site benchmarks should look elsewhere [58].

Teams primarily needing ongoing article-level citation monitoring and influential-source-domain analysis rather than a one-time strategic audit are a poor match, because the diagnostic does not include continuous measurement [59].

Buyers who need published pricing before a sales conversation will find the audit price undisclosed [58]. Publishers needing white-label or resellable audit reports for client deliverables will also find no such option mentioned [59].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Indexable AI for a publisher that needs cheap recurring AI citation monitoring?
  • When should a publisher choose a self-serve AI visibility tool instead of the Indexable AI audit?

Choose a self-serve or lower-cost visibility platform when the buyer needs recurring article-level monitoring, transparent pricing, or many domains at lower cost [62]. Platform-cited alternatives include Otterly AI, which surfaces cited URLs and domains weekly and tracks link position changes over time, with published entry pricing from $29/month [63].

Choose a specialist publisher SEO or digital-news analytics provider when the core requirement is newsroom workflow, author/entity authority, content freshness, or traffic and revenue impact [62]. Platform-cited examples include SEOVentra, which scores E-E-A-T per article and monitors AI bot robots.txt status for publishers, and PublisherAudit, which scans AI-citation readiness across ChatGPT, Claude, Perplexity, and Gemini [65].

Choose a provider with a published reproducible methodology when independent sampling, repeatability, and audit defensibility matter more than operator-led recommendations [62]. Platform-cited options with published pricing include TurboAudit ($39.99–$549.99/month), Surva.ai (Starter $49/month), and AuditAI (Pro $29) [67].

Choose Indexable AI's recurring platform rather than the diagnostic only when the buyer needs continuous monitoring and execution; verify whether the platform's seven-platform coverage and competitor limits match the publisher's scope [62].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a publisher confirm with Indexable AI before signing for the 14-Day AI Search Audit?
  • Which deliverables and raw data should a publisher require in the Indexable AI audit contract?

The platforms surfaced a consistent verification list. Buyers should confirm the exact fixed price, payment schedule, refund policy, and cancellation policy for the 14-day diagnostic [70].

Scope questions to resolve: how many prompts, runs, repeats, competitors, URLs, categories, and geographic settings are included; whether the top-50-page limit is adjustable for sites with 1,000+ articles; and whether custom publisher, review-category, and seasonal prompts can be supplied [70].

Measurement questions: whether the report provides raw answer captures, URLs, citations, citation position, source-domain frequency, and exportable data; whether recommendation rate, mention rate, citation rate, citation position, and source eligibility are measured separately; and how Google AI Overviews and AI Mode are sampled [70].

Authority questions: how editorial authority, author credentials, review methodology, freshness, corrections, affiliate disclosures, and third-party corroboration are evaluated, and what qualifies as an influential source domain [70].

Post-audit questions: which files, raw data, methodology details, and implementation rights are retained if the buyer declines the platform; what exact audit fee is credited toward the first platform month; and what platform contract term applies after conversion [70].

Final AI Consensus Verdict

Indexable AI is a good fit for an enterprise publisher or review website seeking a fast, structured AI-search baseline and prioritized action plan. It is not a fully validated publisher-authority or source-domain audit until Indexable AI confirms the methodology, raw evidence, publisher-specific scope, and diagnostic price.

The consensus is qualified rather than enthusiastic. Two of seven platforms named it during ranking discovery, both at rank 1. Fit ratings ranged from strong (Google, Grok) to uncertain (Kimi). Every platform flagged the same core gaps: undisclosed audit pricing, unclear publisher specialization, no ongoing monitoring, and no independent validation of claimed outcomes.

Smaller publishers and buyers needing transparent recurring measurement should evaluate self-serve alternatives before committing. Enterprise publishers confident in internal execution and willing to invest in a diagnostic engagement have a defensible option — provided they verify scope, price, and deliverables first.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms — OpenAI, Anthropic, Google, Grok, DeepSeek, Perplexity, and Kimi — each asked which companies they would recommend for an AI search audit of a publisher or review website. The study date is 2026-09-18.

Platform mentions in the ranking stage count only platforms that named Indexable AI during ranking discovery. All seven platforms evaluated fit, but fit evaluation is not a ranking endorsement. Fit ratings were assigned by each platform independently.

Company-owned citations materially outnumber independent citations in the underlying evidence. Indexable AI's own product, pricing, and FAQ pages supply most factual claims about scope and delivery. Independent sources are limited to Search Engine Land reporting on AI search bypassing publisher content and a third-party tool comparison covering Otterly AI [74].

Methodology Limitations

Platform-reported research dates differ from the authoritative run date. DeepSeek's response is dated 2025-11-14, roughly ten months before the 2026-09-18 study date; its findings may be stale (platform_date_discrepancies). 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. Citations are platform-reported evidence, not independently verified facts.

No independent source reviewed confirms Indexable AI's claimed delivery quality, citation improvements, or publisher-specific outcomes. Company claims and testimonials on owned pages are not independent evidence of buyer outcomes.

Unresolved conflicts remain: the audit page says six AI platforms are measured while the pricing page says recurring plans include seven-platform monitoring; the audit price is undisclosed while platform prices are public; and it is unclear whether source-domain influence is delivered as a ranked domain graph, a citation list, or only aggregate competitive citation tracking.

The page cites benchmark statistics associated with third-party research, but the underlying research source and reproducibility details were not verified here. Methodology details are incomplete publicly, including prompt counts, repeat testing, weighting, statistical treatment, regional settings, and how Google AI results are sampled.

See the broader AI Search Audits for Publishers and Review Websites consensus index for comparisons across qualified options.

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

Sources

Company-Owned Sources

  • AuditAI — AI Search Visibility Auditor: https://auditaiseo.com/
  • AI Visibility Audit Cost in 2026: Honest Pricing Guide | Avante Visibility: https://avantevisibility.com/blog/ai-visibility-audit-cost-2026
  • Indexable AI Website: https://indexableai.com/
  • AI Search Audit | GEO Audit for Enterprise Brands — 14-Day Diagnostic | Indexable AI: https://indexableai.com/ai-search-audit/
  • Profound Alternatives 2026: Analytics-First vs Execution: https://indexableai.com/comparison/profound-alternative/
  • How to Track AI Search Visibility and Citations - Indexable AI article: https://indexableai.com/how-to-track-ai-search-visibility-and-citations/
  • Pricing — The SEO Department You Don’t Have to Hire | Indexable AI: https://indexableai.com/pricing/
  • PublisherAudit — Audit your content site for AI citation, AdSense, performance & schema: https://publisheraudit.com/
  • SEOVentra for Publishers & Media — Protect Editorial Visibility in AI Search: https://seoventra.com/solutions/publishers
  • What Does an AI Visibility Audit Cost? A 2026 Pricing Guide | Sparkle Technologies: https://sparkletechnologies.com/blog/what-an-ai-visibility-audit-costs
  • TurboAudit — AI Search Audit & Visibility Platform: https://turboaudit.ai/
  • GEO Audit — Six Scores, One Fix Plan | Viali: https://viali.ai/product/geo-audit/
  • Site Audit — 250+ technical SEO + AI readiness checks | Citare: https://www.citare.ai/site-audit
  • Audit your whole site, then fix the pages that matter first | Frase: https://www.frase.io/features/auditor
  • IndexableAI — The Authority on AI Search Visibility: https://www.indexableai.pro/
  • AI SEO Audit - Crawl Your Website and Fix AI Visibility Issues | Surva.ai: https://www.surva.ai/products/ai-seo-audit
  • Additional AI research evidence76 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:12-1
    3. AI research evidence record grok:web:0
    4. AI research evidence record openai:c4
    5. AI research evidence record anthropic:29-1
    6. AI research evidence record anthropic:29-19
    7. AI research evidence record openai:c1
    8. AI research evidence record anthropic:12-16
    9. AI research evidence record anthropic:12-17
    10. AI research evidence record anthropic:12-18
    11. AI research evidence record anthropic:12-19
    12. AI research evidence record anthropic:12-28
    13. AI research evidence record anthropic:29-2
    14. AI research evidence record openai:c3
    15. AI research evidence record openai:c1
    16. AI research evidence record anthropic:12-1
    17. AI research evidence record anthropic:12-2
    18. AI research evidence record grok:web:0
    19. AI research evidence record perplexity:c1
    20. AI research evidence record google:indexable_audit_landing
    21. AI research evidence record anthropic:29-1
    22. AI research evidence record kimi:indexableai-1
    23. AI research evidence record anthropic:12-24
    24. AI research evidence record anthropic:12-25
    25. AI research evidence record openai:c1
    26. AI research evidence record perplexity:c1
    27. AI research evidence record kimi:indexableai-1
    28. AI research evidence record kimi:indexableai-2
    29. AI research evidence record openai:c5
    30. AI research evidence record anthropic:12-1
    31. AI research evidence record deepseek:indexable_audit_2
    32. AI research evidence record openai:c1
    33. AI research evidence record openai:c2
    34. AI research evidence record anthropic:12-2
    35. AI research evidence record anthropic:12-3
    36. AI research evidence record anthropic:12-4
    37. AI research evidence record anthropic:12-5
    38. AI research evidence record anthropic:12-13
    39. AI research evidence record anthropic:12-14
    40. AI research evidence record anthropic:12-16
    41. AI research evidence record anthropic:29-2
    42. AI research evidence record openai:c1
    43. AI research evidence record anthropic:29-1
    44. AI research evidence record perplexity:c2
    45. AI research evidence record kimi:indexableai-1
    46. AI research evidence record openai:c5
    47. AI research evidence record grok:web:1
    48. AI research evidence record google:indexable_pricing
    49. AI research evidence record anthropic:29-25
    50. AI research evidence record anthropic:22-2
    51. AI research evidence record anthropic:24-10
    52. AI research evidence record openai:c1
    53. AI research evidence record anthropic:29-5
    54. AI research evidence record anthropic:12-17
    55. AI research evidence record anthropic:29-2
    56. AI research evidence record anthropic:12-25
    57. AI research evidence record anthropic:12-28
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:29-1
    60. AI research evidence record kimi:indexableai-1
    61. AI research evidence record perplexity:c1
    62. AI research evidence record openai:c1
    63. AI research evidence record anthropic:16-2
    64. AI research evidence record anthropic:16-3
    65. AI research evidence record kimi:seoventra-1
    66. AI research evidence record kimi:publisheraudit-1
    67. AI research evidence record kimi:turboaudit-1
    68. AI research evidence record kimi:surva-1
    69. AI research evidence record kimi:auditaiseo-1
    70. AI research evidence record openai:c1
    71. AI research evidence record anthropic:29-1
    72. AI research evidence record perplexity:c1
    73. AI research evidence record anthropic:29-25
    74. AI research evidence record openai:c4
    75. AI research evidence record anthropic:16-2
    76. AI research evidence record anthropic:16-3

Independent Sources

  • 200+ AI audits reveal why some industries struggle in AI search: https://searchengineland.com/ai-search-audit-findings-470888
  • Additional AI research evidence76 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:12-1
    3. AI research evidence record grok:web:0
    4. AI research evidence record openai:c4
    5. AI research evidence record anthropic:29-1
    6. AI research evidence record anthropic:29-19
    7. AI research evidence record openai:c1
    8. AI research evidence record anthropic:12-16
    9. AI research evidence record anthropic:12-17
    10. AI research evidence record anthropic:12-18
    11. AI research evidence record anthropic:12-19
    12. AI research evidence record anthropic:12-28
    13. AI research evidence record anthropic:29-2
    14. AI research evidence record openai:c3
    15. AI research evidence record openai:c1
    16. AI research evidence record anthropic:12-1
    17. AI research evidence record anthropic:12-2
    18. AI research evidence record grok:web:0
    19. AI research evidence record perplexity:c1
    20. AI research evidence record google:indexable_audit_landing
    21. AI research evidence record anthropic:29-1
    22. AI research evidence record kimi:indexableai-1
    23. AI research evidence record anthropic:12-24
    24. AI research evidence record anthropic:12-25
    25. AI research evidence record openai:c1
    26. AI research evidence record perplexity:c1
    27. AI research evidence record kimi:indexableai-1
    28. AI research evidence record kimi:indexableai-2
    29. AI research evidence record openai:c5
    30. AI research evidence record anthropic:12-1
    31. AI research evidence record deepseek:indexable_audit_2
    32. AI research evidence record openai:c1
    33. AI research evidence record openai:c2
    34. AI research evidence record anthropic:12-2
    35. AI research evidence record anthropic:12-3
    36. AI research evidence record anthropic:12-4
    37. AI research evidence record anthropic:12-5
    38. AI research evidence record anthropic:12-13
    39. AI research evidence record anthropic:12-14
    40. AI research evidence record anthropic:12-16
    41. AI research evidence record anthropic:29-2
    42. AI research evidence record openai:c1
    43. AI research evidence record anthropic:29-1
    44. AI research evidence record perplexity:c2
    45. AI research evidence record kimi:indexableai-1
    46. AI research evidence record openai:c5
    47. AI research evidence record grok:web:1
    48. AI research evidence record google:indexable_pricing
    49. AI research evidence record anthropic:29-25
    50. AI research evidence record anthropic:22-2
    51. AI research evidence record anthropic:24-10
    52. AI research evidence record openai:c1
    53. AI research evidence record anthropic:29-5
    54. AI research evidence record anthropic:12-17
    55. AI research evidence record anthropic:29-2
    56. AI research evidence record anthropic:12-25
    57. AI research evidence record anthropic:12-28
    58. AI research evidence record openai:c1
    59. AI research evidence record anthropic:29-1
    60. AI research evidence record kimi:indexableai-1
    61. AI research evidence record perplexity:c1
    62. AI research evidence record openai:c1
    63. AI research evidence record anthropic:16-2
    64. AI research evidence record anthropic:16-3
    65. AI research evidence record kimi:seoventra-1
    66. AI research evidence record kimi:publisheraudit-1
    67. AI research evidence record kimi:turboaudit-1
    68. AI research evidence record kimi:surva-1
    69. AI research evidence record kimi:auditaiseo-1
    70. AI research evidence record openai:c1
    71. AI research evidence record anthropic:29-1
    72. AI research evidence record perplexity:c1
    73. AI research evidence record anthropic:29-25
    74. AI research evidence record openai:c4
    75. AI research evidence record anthropic:16-2
    76. AI research evidence record anthropic:16-3

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
19
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

2 independent · 17 company-owned

Evidence support

16 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 45b72d61c2f3d1dc7ed438dce9d93ae0ed77766ddc60d8046d871213e1eff884