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Similarweb AI Citation Analysis AI Citation Solution Fit Review for Digital PR and Earned Media Strategy

Similarweb AI Citation Analysis is a good fit for most buyers evaluating AI Citation Solutions for Digital PR and Earned Media Strategy, with two platforms rating it "strong" and four rating it "good." Three of seven platforms named it during the ranking stage (anthropic,…

Research: 2026-09-177 usable platform responsesRead the methodology ↗

Answer Capsule

Similarweb AI Citation Analysis is a good fit for most buyers evaluating AI Citation Solutions for Digital PR and Earned Media Strategy, with two platforms rating it "strong" and four rating it "good." Three of seven platforms named it during the ranking stage (anthropic, deepseek, google), a 42.9% share of included platform responses, at an average listed rank of 4.0 and a best rank of 1. The strongest reason to consider it is domain- and URL-level citation intelligence that maps cited sources to prompts and supports publisher prioritization. The main limitation is that no supplied source verifies causal attribution from a specific earned-media placement to a later AI citation, and public pricing and contract terms are only partially confirmed.

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (anthropic, deepseek, google)
Share of included platform responses42.9%
Average listed rank4.0
Best listed rank1 (google)
Relevant product/model/planAI Search Intelligence, specifically the AI Brand Visibility module and Citation Analysis tool; AEO Intelligence plan listed at $99/month billed annually
Overall use-case fitStrong (2 platforms); Good (4 platforms); Uncertain (1 platform) — 7 platforms analyzed
Research date2026-09-17

Why Similarweb AI Citation Analysis Qualified for This Study

Questions This Section Answers

  • Is Similarweb AI Citation Analysis a good choice for AI Citation Solutions for Digital PR and Earned Media Strategy?
  • How many AI platforms named Similarweb AI Citation Analysis during ranking, and at what average rank?

Similarweb AI Citation Analysis qualified because three of seven included platforms named it during ranking discovery, and all seven platforms evaluated it for fit. The ranking-stage mentions came from anthropic (rank 3), deepseek (rank 8), and google (rank 1), producing an average listed rank of 4.0 and a best rank of 1. The remaining four platforms (openai, perplexity, grok, kimi) evaluated the entity for fit without naming it in the ranking stage.

Fit ratings were not unanimous. Google and perplexity rated the fit "strong," while openai, anthropic, deepseek, and grok rated it "good." Kimi rated it "uncertain," citing an inability to retrieve the official website during its research and a lack of independent reviews of the product for PR use cases [1]. That uncertainty is a platform-reported research limitation, not evidence that the product lacks the capability.

The entity is a company-scoped product, not a standalone brand. Its official website is [2], and the relevant capability sits inside AI Search Intelligence rather than being sold as an independent tool [2].

The Product, Model, Plan, or Service Most Relevant to AI Citation Solutions for Digital PR and Earned Media Strategy

Questions This Section Answers

  • Which Similarweb plan should a buyer choose if they need citation analysis for digital PR and earned media strategy?
  • Is Similarweb AI Citation Analysis sold standalone, or only bundled inside AI Search Intelligence?

The relevant product is Similarweb AI Search Intelligence, specifically the AI Brand Visibility module that contains the Citation Analysis tool [4]. Citation Analysis is not sold standalone; it is bundled within AI Brand Visibility across paid tiers [7].

Public materials describe the tool as revealing which domains and URLs AI platforms cite for tracked topics and prompts, with domain and URL influence scores, source categories, and prompt associations [8]. Similarweb's own materials name ChatGPT, Gemini, Perplexity, and AI Mode as tracked surfaces for citation analysis [4].

Plan naming is inconsistent across sources. One platform references "Digital Marketing Intelligence" as the relevant suite [10], while current public materials position the capability under AI Search Intelligence, AI Brand Visibility, and Gen AI Intelligence [11]. Buyers should treat the product label as a verification item rather than assuming a single canonical name.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Similarweb AI Citation Analysis does well for digital PR and earned media strategy?
  • Does Similarweb AI Citation Analysis identify influential publishers and competitor citation sources?

Platforms broadly agreed on citation intelligence, competitor source analysis, and influential-publisher identification. Six of seven platforms described citation intelligence as an advantage, and the same six described competitor source analysis as an advantage [13]. Five platforms described influential-publisher identification as an advantage [13].

Agreement was strongest on the mechanics of the tool. Multiple platforms reported that Citation Analysis shows cited domains and exact URLs, assigns domain and URL influence scores, and categorizes sources into groups such as news and publishers, reviews and UGC, competitor domains, marketplaces, social media, and owned domains [13]. Similarweb's own support documentation describes seven source categories and a Domain Influence Score expressed as the percentage of answers citing a domain [22].

Platforms also agreed that the tool supports publisher prioritization for outreach. Similarweb positions the influence scores for outreach, partnerships, reviews, and digital PR opportunity identification [13]. One platform reported a treemap visualization of top cited domains and a company claim that 61% of AI citations come from earned media [23].

Tracking freshness drew partial agreement. Similarweb states that AI Brand Visibility data refreshes daily [24]. One platform reported that citation data updates daily and that historical depth varies by plan [25].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Can Similarweb AI Citation Analysis prove that a specific earned media placement caused a later AI citation?
  • Which AI engines does Similarweb AI Citation Analysis fully cover versus track only for referral traffic?

The sharpest disagreement concerns earned-coverage-to-citation attribution. No supplied source verifies causal attribution from a specific earned-media placement to a later AI citation. OpenAI rated this factor neutral, noting that public documentation supports monitoring citation presence over time but does not verify causal attribution or controlled before-and-after measurement [26]. Anthropic rated it neutral and reported that the tool does not measure attribution delay or predict future citation capture [28]. Deepseek rated it unclear, stating that public materials do not confirm the ability to tie a specific placement to a later citation [29]. Kimi rated it unclear and noted that specialized competitors explicitly offer placement-to-citation tracing [30]. Google and perplexity treated measurement of earned coverage as an advantage, describing URL-level monitoring of whether placements are later pulled into citations [32].

Engine coverage produced a second disagreement. Google reported a strict operational split: four engines (ChatGPT, Perplexity, Gemini, AI Mode) support active brand visibility and citation analysis, while a different set (Copilot, Claude, DeepSeek, Grok) is tracked only for referral traffic [35]. Anthropic reported multi-platform tracking including Grok [36], which conflicts with Google's account. OpenAI and perplexity named ChatGPT, Gemini, Perplexity, and AI Mode without confirming the full list [37]. Deepseek stated that the public page does not enumerate monitored platforms at all [29].

Pricing transparency divided platforms by research date. Google, openai, and anthropic reported specific tier prices [35]. Deepseek, whose research date was 2026-06-12, reported that Similarweb does not publish public pricing and that pricing requires contacting sales [40]. Grok reported no public pricing details [41]. Perplexity described public pricing as conflicting across sources [34]. The most likely explanation is a change in public pricing disclosure between research dates, but the supplied evidence does not confirm that, so buyers should verify current pricing directly.

Kimi's uncertainty is the outlier. Kimi could not retrieve the official website during its research, could not verify the product name "Similarweb AI Citation Analysis" against public sources, and found no independent reviews of the product for PR use cases [42]. Kimi's own research provenance shows search was enabled via a web plugin, so the failure is a retrieval limitation rather than a finding about the product.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Similarweb AI Citation Analysis map citation architecture and source categories for earned media planning?
  • How does Similarweb AI Citation Analysis handle competitor citation gaps and publisher influence scoring?

Citation intelligence is the strongest-supported capability. Citation Analysis reports the domains and exact URLs cited in AI answers for tracked topics, with domain and URL influence scores, source categories, associated prompts, and citation frequency [43]. Similarweb's public page describes identifying exact links and influential sources [46].

Citation architecture mapping is supported at a practical level. The tool provides a domain-to-URL-to-topic-to-prompt view and categorizes sources into news and publishers, reviews and UGC, competitor domains, marketplaces, social media, and owned domains [43]. Public documentation does not establish a formal graph database or unrestricted relationship export [43]. Deepseek rated citation architecture mapping unclear because the official page summarizes modules without detailing how mapping works [47].

Competitor source analysis is well supported. Users can inspect competitor citations, compare brand visibility, identify sources used for competitor answers, and review prompts where competitors hold an advantage [48]. Google described citation-gap detection that surfaces instances where competitor pages are cited instead of the buyer's brand [51].

Influential publisher identification relies on influence scoring. Domain Influence Score expresses the percentage of answers citing a domain, and URL Influence Score reflects per-page citation frequency [44]. Similarweb explicitly positions these scores for outreach, partnerships, reviews, and digital PR opportunity identification [43].

Measurement of earned coverage appearing in AI citations is directional, not causal. The tool can show whether particular URLs are cited, which prompts used them, and whether the brand was mentioned in the answer [43]. It does not verify that a specific earned-media placement caused a citation [43].

Two additional capabilities appeared in single-platform reporting. Google described an "AI citation volatility" metric that tracks how frequently cited URLs and domains change between consecutive scans, labeled Volatile, Moderate, or Stable [53]. Anthropic and perplexity described an AI Recommendations module that generates topic gaps, content briefs, and prioritized edits [54]. Both are platform-reported and should be confirmed in a demo.

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Similarweb AI Citation Analysis cost per month, and is annual billing cheaper than monthly?
  • What are the tracked-prompt limits and overage fees on Similarweb AI Search Intelligence plans?

Public pricing is partially confirmed and internally inconsistent across research dates. Three platforms reported the same tier structure: AEO Intelligence at $99/month billed annually or $129/month month-to-month, and a Competitive Intel and AEO tier at $333/month billed annually or $399/month monthly [56]. Anthropic and google also reported a premium tier at $542/month billed annually or $649/month monthly [57]. The official AI Search Intelligence page excerpt retrieved for this study lists $99, $333, and $542 tiers with one user each (official:C1).

Deepseek, researching on 2026-06-12, reported that Similarweb does not publish public pricing and that pricing is available only by contacting sales [59]. Grok reported no public pricing details [60]. Perplexity described public pricing as conflicting, noting that Similarweb's own pricing page snippet did not expose a verified dollar amount [61]. Buyers should treat the $99/$333/$542 figures as platform-reported and confirm current pricing directly.

Included limits are reported inconsistently. Anthropic reported 150 tracked prompts and three months of historical data on the entry tier, six months on the mid tier, and one user across tiers [57]. Google reported 150 tracked prompts, one seat, and three months of history on the AEO Intelligence package [58]. Perplexity reported the same 150-prompt, one-seat, three-month scope as third-party reporting [61]. No supplied source documents pricing for additional prompts or overages beyond the standard limit [57].

Additional fees are largely undocumented. Custom enterprise packaging, additional users, expanded data, APIs, data feeds, and integrations may require a sales quote, and public materials do not state complete fee schedules [56]. API usage uses data credits, but public API documentation does not establish that Citation Analysis data is available through the same endpoint or pricing structure [56]. Anthropic reported that per-seat costs beyond one user and overage fees for prompts beyond 150 are not published [57].

Contract and cancellation terms are only partially confirmed. Business termination terms are defined by contract, and self-service subscriptions generally stop renewing after cancellation at the end of the current billing period according to the public FAQ [56]. Anthropic reported that self-service plans have standard cancellation but the specific period is not stated publicly, and that annual billing offers roughly 16% savings versus monthly [57]. Google reported that month-to-month plans are available at a premium rate and annual commitments offer discounted monthly rates [58]. Perplexity reported that publicly verified cancellation terms were not available in the sources it checked [61].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Similarweb AI Citation Analysis for digital PR and earned media strategy?
  • Is Similarweb AI Citation Analysis a good fit for mid-market teams with an established earned media budget?

Similarweb AI Citation Analysis is best suited to digital PR, SEO, GEO, communications, and brand teams that need structured visibility into which domains, publishers, URLs, topics, and prompts influence AI-generated answers [62]. It fits teams identifying influential publishers, review sites, forums, marketplaces, and competitor sources in AI answers [62].

It also fits brands measuring whether their own or competitors' coverage appears in cited AI sources [62]. Competitor benchmarking and recurring monitoring support earned-media measurement over time [68].

Anthropic specifically framed the fit for mid-market B2B companies with established earned media programs and dedicated budgets in the $333–$650+/month range, and for digital PR agencies executing multi-publisher strategies that need granular source categorization [69]. Google framed the fit for teams benchmarking citation share of voice against up to 30 competitors [70].

Buyers already inside the Similarweb ecosystem may see lower procurement friction, since the capability sits within the broader Digital Marketing Intelligence suite [71]. That is a platform-reported positioning claim, not a verified integration benefit.

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Similarweb AI Citation Analysis for digital PR and earned media strategy?
  • Is Similarweb AI Citation Analysis a poor fit for buyers who need guaranteed causal PR attribution?

Buyers requiring guaranteed causal attribution between a specific PR placement and a later AI citation should not choose this tool on the strength of the supplied evidence. No supplied source verifies causal attribution, controlled before-and-after measurement, or proof that a specific earned-media placement caused a citation [72].

Teams needing comprehensive monitoring of every generative-answer platform, private chatbot response, or recommendation surface are also a poor fit. Public materials name a limited set of platforms, and the complete list, geographic availability, model versions, and recommendation-interface coverage are not fully specified [75]. Google reported that Copilot, Claude, DeepSeek, and Grok are tracked only for referral traffic rather than citation analysis [76].

Organizations requiring a fully transparent, independently audited citation methodology or highly customized enterprise data exports should verify availability before buying [72]. Small teams with minimal budgets may find the entry tier limiting, since it is reported to include only three months of historical data and one user [77].

Teams wanting a pure media-database or outreach CRM rather than AI citation analytics should look elsewhere [78]. Buyers needing SEO-only solutions may find the bundling inefficient, since Citation Analysis is not sold standalone [77].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Similarweb AI Citation Analysis for a buyer who needs placement-to-citation tracking within days?
  • When should a buyer choose a PR-centric media intelligence platform instead of Similarweb AI Citation Analysis?

A more PR-centric media-intelligence platform may be better when the primary requirement is journalist discovery, earned-placement tracking, media-database workflows, broadcast monitoring, or traditional share-of-voice measurement [79]. Similarweb's public materials emphasize AI visibility and source analysis rather than full PR campaign attribution [79].

A specialist AI visibility platform may be better when broader model coverage, granular prompt experimentation, automated reporting, or stronger workflow integrations matter more than Similarweb's domain and URL intelligence [79]. Kimi named several specialized alternatives with documented PR-specific features: Cite Solutions for placement-to-citation tracking within seven days, GetCited for published pricing from $150–$4,200/month with Wilson confidence interval measurement, Citingly for an end-to-end audit-to-measurement workflow, and Connective3 for a Brand Citation Score [80]. These are company-owned claims from those vendors and were not independently verified in this study.

A combined stack may be better when the buyer needs both traditional earned-media measurement and AI citation monitoring [79]. Buyers who need automated media database access, journalist pitching, and press release distribution alongside citation analysis should consider a PR platform with those functions [84]. Buyers who need to track brand visibility inside Claude or Copilot specifically, rather than measuring referral clicks from them, should verify coverage before committing [85].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Similarweb before signing a contract for AI Citation Analysis?
  • Can Similarweb provide a sample report using the buyer's market, category, and competitors before purchase?

The following verification items come directly from platform-reported gaps. Buyers should treat each as unresolved until Similarweb confirms it in writing.

Platform and scope: Which AI platforms, models, answer surfaces, countries, languages, and recommendation interfaces are included in the quoted package [86]? How are prompts selected, normalized, sampled, refreshed, and weighted [86]? Are daily refreshes available for all included platforms and metrics, or only selected AI Brand Visibility reports [87]?

Data access and export: Can the buyer export raw cited URLs, prompts, answer snapshots, timestamps, source categories, and influence metrics [86]? Is Citation Analysis available through an API, data feed, dashboard connector, or scheduled report [86]? Does the tool support direct export to CRM, email marketing, or media database platforms [88]?

Attribution and measurement: Can the platform match a known earned-media URL to later citations and provide before-and-after campaign reporting [86]? What is the median or typical lag between earned media publication and first AI citation capture [88]? How are influence scores calculated, and can they be audited or normalized across topics [89]?

Data hygiene: How are syndicated articles, duplicate URLs, paywalled pages, redirects, deleted pages, and publisher domains handled [86]? What is the accuracy and false-positive rate of sentiment analysis for brand mentions in AI answers [88]?

Commercial terms: What are the limits on tracked topics, prompts, competitors, users, historical data, and monitored brands [86]? What are the enterprise minimums, implementation fees, renewal terms, cancellation notice requirements, and overage charges [86]? Is Citation Analysis available as a standalone module, or must it always be purchased as part of AI Brand Visibility [88]?

Proof of fit: Can Similarweb provide a sample report using the buyer's US market, category, competitors, and target publishers before purchase [86]?

Final AI Consensus Verdict

Similarweb AI Citation Analysis is a good fit for AI Citation Solutions for Digital PR and Earned Media Strategy. Four platforms rated the fit "good" (openai, anthropic, deepseek, grok), two rated it "strong" (google, perplexity), and one rated it "uncertain" (kimi). Three of seven platforms named it during ranking discovery at an average listed rank of 4.0.

The consensus case rests on citation intelligence, competitor source analysis, and influential-publisher identification, which six of seven platforms described as advantages. The consensus limitation is attribution: no supplied source verifies that a specific earned-media placement caused a later AI citation, and platform coverage, export options, and commercial terms remain only partially documented.

Buyers should treat the product as an analytics layer for publisher prioritization and citation monitoring rather than a complete earned-media attribution system. Platform agreement on capabilities reflects shared reliance on company-owned documentation, not independent proof of accuracy or business impact. For the broader category context, see the AI Citation Solutions for Digital PR and Earned Media Strategy consensus index.

How This Review Was Produced

This review synthesizes fit-research responses from seven AI platforms, each evaluating Similarweb AI Citation Analysis against the same use case: AI Citation Solutions for Digital PR and Earned Media Strategy. The authoritative research date is 2026-09-17. Platform-reported research dates differ: anthropic reported 2026-01-15 and deepseek reported 2026-06-12, while the remaining five platforms reported 2026-09-17. Those dates are provenance metadata and do not independently prove freshness.

Ranking statistics reflect only platforms that named the entity during ranking discovery. All seven platforms evaluated fit. Fit ratings, strengths, limitations, pricing, and verification questions are reproduced from platform responses and cited to the supplied source catalog. Company-owned citations materially outnumber independent citations in this evidence set, so company claims are labeled as such rather than presented as independently verified. This review is part of the ai citation authority building category.

Methodology Limitations

Several limitations constrain the findings. Company-owned citations materially outnumber independent citations, so most capability claims rest on vendor documentation rather than independent validation. No supplied source independently verifies the accuracy, completeness, or PR outcome lift of Similarweb's citation measurement.

Platform-reported research dates differ from the authoritative run date, and deepseek's earlier research date coincides with its report that no public pricing exists, which conflicts with three later platform reports of specific tier prices. The supplied evidence does not resolve whether this reflects a pricing-disclosure change or a research gap.

Product naming is inconsistent across sources. One platform references Digital Marketing Intelligence while current public materials position the capability under AI Search Intelligence, AI Brand Visibility, and Gen AI Intelligence. The exact bundle boundaries of Citation Analysis are unclear from public sources.

Engine coverage is disputed. Google reported a split between citation-analysis engines and referral-traffic-only engines, while anthropic reported multi-platform tracking that includes Grok. The supplied evidence does not reconcile these accounts.

One platform could not retrieve the official website and could not verify the product name against public sources, producing an "uncertain" fit rating. That is a retrieval limitation, not evidence of absence. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. No personal testing, customer experience, or independent verification was performed for this review.

Sources

Company-Owned Sources

Independent Sources

  • Similarweb launches AI citation analysis framework as zero-click searches rise: https://ppc.land/similarweb-launches-ai-citation-analysis-framework-as-zero-click-searches-rise/
  • Additional AI research evidence89 records
    1. AI research evidence record kimi:similarweb-unverified
    2. AI research evidence record deepseek:sim_aisearch
    3. AI research evidence record perplexity:c1
    4. AI research evidence record openai:c2
    5. AI research evidence record anthropic:c1
    6. AI research evidence record perplexity:c2
    7. AI research evidence record anthropic:c2
    8. AI research evidence record openai:c1
    9. AI research evidence record anthropic:c3
    10. AI research evidence record deepseek:sim_dmi
    11. AI research evidence record openai:c3
    12. AI research evidence record grok:c3
    13. AI research evidence record openai:c1
    14. AI research evidence record anthropic:c1
    15. AI research evidence record perplexity:c13
    16. AI research evidence record google:1.2.2
    17. AI research evidence record grok:c2
    18. AI research evidence record deepseek:sim_aisearch
    19. AI research evidence record anthropic:c5
    20. AI research evidence record perplexity:c1
    21. AI research evidence record google:1.4.3
    22. AI research evidence record anthropic:c3
    23. AI research evidence record anthropic:c4
    24. AI research evidence record openai:c3
    25. AI research evidence record anthropic:c2
    26. AI research evidence record openai:c1
    27. AI research evidence record openai:c3
    28. AI research evidence record anthropic:c3
    29. AI research evidence record deepseek:sim_aisearch
    30. AI research evidence record kimi:cite-solutions-pr
    31. AI research evidence record kimi:connective3-bcs
    32. AI research evidence record google:1.2.2
    33. AI research evidence record google:1.2.3
    34. AI research evidence record perplexity:c2
    35. AI research evidence record google:1.3.4
    36. AI research evidence record anthropic:c1
    37. AI research evidence record openai:c2
    38. AI research evidence record openai:c4
    39. AI research evidence record anthropic:c2
    40. AI research evidence record deepseek:sim_pricing
    41. AI research evidence record grok:c4
    42. AI research evidence record kimi:similarweb-unverified
    43. AI research evidence record openai:c1
    44. AI research evidence record anthropic:c3
    45. AI research evidence record perplexity:c2
    46. AI research evidence record openai:c4
    47. AI research evidence record deepseek:sim_aisearch
    48. AI research evidence record openai:c2
    49. AI research evidence record anthropic:c1
    50. AI research evidence record perplexity:c13
    51. AI research evidence record google:1.2.2
    52. AI research evidence record anthropic:c5
    53. AI research evidence record google:1.2.4
    54. AI research evidence record anthropic:c6
    55. AI research evidence record perplexity:c12
    56. AI research evidence record openai:c4
    57. AI research evidence record anthropic:c2
    58. AI research evidence record google:1.3.4
    59. AI research evidence record deepseek:sim_pricing
    60. AI research evidence record grok:c4
    61. AI research evidence record perplexity:c2
    62. AI research evidence record openai:c1
    63. AI research evidence record anthropic:c1
    64. AI research evidence record perplexity:c1
    65. AI research evidence record anthropic:c5
    66. AI research evidence record anthropic:c3
    67. AI research evidence record perplexity:c2
    68. AI research evidence record openai:c2
    69. AI research evidence record anthropic:c2
    70. AI research evidence record google:1.2.2
    71. AI research evidence record deepseek:sim_dmi
    72. AI research evidence record openai:c1
    73. AI research evidence record anthropic:c3
    74. AI research evidence record deepseek:sim_aisearch
    75. AI research evidence record openai:c2
    76. AI research evidence record google:1.3.4
    77. AI research evidence record anthropic:c2
    78. AI research evidence record perplexity:c2
    79. AI research evidence record openai:c1
    80. AI research evidence record kimi:cite-solutions-pr
    81. AI research evidence record kimi:getcited-pricing
    82. AI research evidence record kimi:citingly-features
    83. AI research evidence record kimi:connective3-bcs
    84. AI research evidence record perplexity:c2
    85. AI research evidence record google:1.3.4
    86. AI research evidence record openai:c1
    87. AI research evidence record openai:c3
    88. AI research evidence record anthropic:c2
    89. AI research evidence record perplexity:c2

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Study date
September 17, 2026
Platforms analyzed
7
Source records
27
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#5

Research trail and source mix

Configured platforms

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

Source mix

3 independent · 24 company-owned

Evidence support

22 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 2379d00dab54bd640747c9d553171b542d4ea0bcea9376fa013923de1d0e34ee