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AI Consensus Fit Review

Indexly AI Citation Platform Fit Review for Historical Citation Tracking

Indexly is a mixed-to-good fit for AI Citation Platforms for Historical Citation Tracking.

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

Answer Capsule

Indexly is a mixed-to-good fit for AI Citation Platforms for Historical Citation Tracking. Two of the seven included platforms named Indexly during the ranking stage — Anthropic (rank 1) and Kimi (rank 2) — giving it a 28.6% share of included platform responses and an average listed rank of 1.5. The strongest reason to consider it is its advertised combination of daily citation counts per URL by model, prompt-level trend history, competitor citation-gap analysis, and company-stated indefinite historical retention at publicly listed prices starting at $99/month. The main limitation is that long-term historical retention, immutable research snapshots, raw-response export, and citation-architecture change logs are not clearly documented in public materials, and most supporting citations are company-owned.

Research Snapshot

FieldFinding
Platform mentions in ranking stage2 of 7 included platforms (Anthropic, Kimi)
Share of included platform responses28.6%
Average listed rank1.5
Best listed rank1
Relevant product/model/planIndexly AI Citation Tracker; Indexly Core Platform with citation tracking by domain and URL
Overall use-case fitMixed across platforms: Grok rated it strong; Anthropic and Google rated it good; OpenAI and Perplexity rated it mixed; DeepSeek and Kimi rated it uncertain
Research date2026-09-17

Why Indexly Qualified for This Study

Questions This Section Answers

  • Is Indexly a good choice for AI Citation Platforms for Historical Citation Tracking?
  • How many AI platforms named Indexly in this historical citation tracking study?

Indexly qualified because two of the seven included platforms named it during ranking discovery, and both placed it near the top of their lists. Anthropic ranked it first and Kimi ranked it second, producing an average listed rank of 1.5 and a 28.6% share of included platform responses. That is a minority of platforms, so the nomination is real but not broad.

The entity is a company, not a single product. The relevant offering for this use case is the Indexly AI Citation Tracker inside the Indexly AI Search Visibility Platform, which the platforms describe as tracking citations by domain and URL [1]. Indexly's own site describes tracking across ChatGPT, Gemini, Perplexity, Grok, Claude, and Google AI Overviews, with prompt tracking, competitor positions, cited sources, citation gaps, URL-level citation examples, AI traffic analytics, and trend metrics [1].

Qualification does not mean the platforms agreed on fit. Their ratings ranged from strong to uncertain, and the split is the central finding of this review. Buyers comparing Indexly against other tools in this category can start from the AI Citation Platforms for Historical Citation Tracking consensus index, which aggregates how each platform ranked the field.

The Product, Model, Plan, or Service Most Relevant to AI Citation Platforms for Historical Citation Tracking

Questions This Section Answers

  • Which Indexly product or plan is most relevant for tracking historical AI citations by domain and URL?
  • Does the Indexly AI Citation Tracker preserve prompt-level citation history for month-over-month analysis?

The relevant product is the Indexly AI Citation Tracker, delivered through the Indexly Core Platform with citation tracking by domain and URL [4]. Every platform that named Indexly pointed at this same product family, so there is no product-name conflict at the top level.

Indexly states that it counts every citation URL returned by an AI assistant and groups them by the page on your domain [5]. It reports daily citation counts per URL broken down by AI model [8], citation share, citation gaps, and per-page citation counts across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews [10]. It also states that tracked prompts run daily across every supported engine [11] and that historical responses are stored indefinitely so buyers can analyze week-on-week and month-on-month shifts [12].

The plan most relevant to historical tracking is Scale at $499/month, which lists 5 models, 200 prompts, API access, and custom reports [15]. Anthropic's research also references a Core plan at $250/month covering 4 engines and 350 prompts [17], but that plan does not appear on the current public pricing page retrieved for this study, which lists only Starter, Growth, and Scale (official:C2). Buyers should treat the Core plan reference as unconfirmed.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Indexly does well for historical citation tracking?
  • Is Indexly's daily citation tracking by URL and model confirmed across multiple AI platform evaluations?

The platforms agreed on four points, though the agreement rests heavily on company-owned sources.

First, they agreed Indexly tracks citations at the domain and URL level. OpenAI, Anthropic, Grok, Perplexity, and Google all described domain- and URL-level citation tracking [18]. Google's research adds that Indexly tracks daily citation share, domain ranks, and competitor citation domains with drill-down into specific competitor URLs [22].

Second, they agreed on multi-engine coverage. Indexly states it monitors ChatGPT, Claude, Google AI Overviews, AI Mode, Gemini, and Perplexity [23], and separately lists Grok among tracked engines [24]. Anthropic, Grok, Perplexity, and Google all repeated six-engine coverage [24].

Third, they agreed on daily granularity. Indexly runs tracked prompts daily across every supported engine [26], and daily citation counts per URL by model are described consistently [27].

Fourth, they agreed on prompt-level trend reporting. Anthropic, Grok, and Google all described prompt-level history with diff views across days, weeks, and months [29]. Google states the prompt tracker stores daily histories of trends, competitor entries, and citation share changes with diff views across days, weeks, and months [31].

Agreement here reflects repeated company claims more than independent verification. Company-owned citations materially outnumber independent citations in this study, and platform agreement does not prove product quality.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • Why did some AI platforms rate Indexly uncertain for historical citation tracking?
  • Does Indexly preserve immutable research snapshots and citation-architecture change history?

The platforms split sharply on fit. Grok rated Indexly a strong fit [32]. Anthropic and Google rated it good [33]. OpenAI and Perplexity rated it mixed [35]. DeepSeek and Kimi rated it uncertain [37].

The disagreement centers on preserved research snapshots. OpenAI found that public materials describe trend reporting and dated citation examples but do not confirm downloadable answer captures, timestamped response archives, retention guarantees, or reproducible historical snapshots [35]. Perplexity reached the same conclusion, noting the reviewed materials are strong on current tracking claims but weak on verifiable historical-tracking specifications [36]. Anthropic found that Indexly stores historical responses and citation events indefinitely but does not explicitly advertise preservation of complete AI response snapshots — full text plus citations plus reasoning — as a dedicated archival feature [33].

Citation-architecture change tracking produced a second split. OpenAI found no public documentation verifying a versioned citation graph, source-architecture diff, or automated explanation of how citation architecture changed between snapshots [35]. Kimi noted that category peers such as MentionsAPI explicitly handle provider format changes while Indexly's parser maintenance and architecture adaptation is unverified [43]. Google stated Indexly does not explicitly focus on preserving raw research snapshots such as cached HTML or screenshot records of AI replies, or deep reporting on model-level architecture adjustments [44].

Retention duration is a third conflict. Indexly states historical responses are stored indefinitely [46], but OpenAI found the site does not state how far back historical data remains available [35], and Anthropic flagged that "indefinite" may not apply equally to all data types [33]. DeepSeek, which ran without search enabled, found no public evidence of preserved historical citation snapshots at all [37]. Kimi could not crawl Indexly's site and labeled all product claims unverified [38].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Indexly track source gains and losses and competitor citation movement over time?
  • Which AI engines does Indexly cover for historical citation tracking?

Indexly's advertised capabilities map unevenly onto the six criteria in this use case.

Historical domain and URL citations — advantage. Indexly tracks citation counts per URL daily, broken down by AI model, with company-stated indefinite retention [48]. It states it can show which page on your site ChatGPT, Claude, Gemini, Perplexity, or Grok pulled from this week — and which pages used to be cited but are not anymore [53].

Prompt-level trends — advantage. Historical responses to tracked prompts are stored indefinitely for week-on-week and month-on-month analysis, with tag-level breakdown by topics, campaigns, products, verticals, or buyer personas [54]. Grok describes complete daily history per prompt with diff views across days, weeks, and months [58].

Competitor movement — advantage. Indexly tracks which competitor domains AI assistants cite when your brand is absent, with per-engine competitor citation share comparison across six models [59]. It offers side-by-side mention share for your brand and up to 9 competitors, per platform, refreshed daily [62].

Source gains and losses — advantage, with a caveat. Daily citation counts per URL identify pages that were previously cited but no longer are [53], and the platform alerts when share of voice drops, a competitor passes you, or AI referral traffic shifts more than 10% [63]. OpenAI found that public materials do not clearly document a dedicated historical gain/loss ledger for every domain or URL [64].

Citation architecture changes — limitation. Indexly notes that only 11% of domains cited by ChatGPT are also cited by Perplexity for the same prompt, indicating engine-specific source architecture tracked independently per engine daily [66]. But OpenAI, Google, and Kimi all found no verified versioned citation graph or architecture-diff feature [64].

Preserved research snapshots — limitation. This is the weakest area. No platform found public confirmation that Indexly preserves complete answer text, reasoning, or immutable timestamped snapshots as a dedicated archival product [64].

Reporting and integration — advantage. The Scale plan lists custom reports and API access [65], and Indexly exposes a REST API for citation share, citation gaps, and per-page citation events [73]. The scope of historical citation fields available through the API is not publicly specified [64].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Indexly cost per month, and is there an annual discount?
  • Are there setup, overage, or cancellation fees with Indexly for historical citation tracking?

Public self-serve pricing lists three tiers: Starter at $99/month with 3 models and 50 prompts, Growth at $299/month with 4 models and 100 prompts, and Scale at $499/month with 5 models and 200 prompts plus API access and custom reports [74]. Annual billing carries a stated 17% discount [76].

Pricing conflicts exist and should be verified. Google's research cites an entry point of $49/month in one Indexly article [77] while the official pricing page lists Starter at $99/month (official:C2). Perplexity found at least one third-party source referencing a $49/month starting point against the official $99/month page [78]. Anthropic found a third-party review noting a tool database lists Indexly as freemium with a $0 free tier while the current pricing page shows no free plan [79]. Anthropic also references a Core plan at $250/month covering 4 engines and 350 prompts [80] that does not appear on the retrieved pricing page (official:C2). Independent sources list the same $99/$299/$499 structure [81].

Additional fees are largely undisclosed. Enterprise and multi-domain done-for-you services use custom pricing [74]. Whether prompt-volume increases, additional models, data export, API overages, or historical retention carry extra charges is unclear [74]. Anthropic notes pricing scales with tracked prompt volume and that REST API per-call pricing is not disclosed [83]. Perplexity found no verified public information on setup fees, overage fees, or usage penalties [78].

Contract and cancellation terms are thin. Public pricing identifies self-serve plans but does not clearly state minimum commitment, cancellation process, refunds, data portability, or post-cancellation access to historical data [74]. Google's research describes a monthly rolling contract with cancellation at any time [75], but this conflicts with the absence of published cancellation terms elsewhere. DeepSeek found contract length, cancellation, and data retention after termination unverifiable from public sources [85]. The retrieved terms page covers liability disclaimers rather than subscription terms (official:C3).

Best Suited For

Questions This Section Answers

  • Who gets the most value from Indexly for tracking AI citation trends month over month?
  • Is Indexly a good fit for agencies managing AI citation visibility across multiple clients?

Indexly is best suited to marketing and SEO teams tracking citation share trends across ChatGPT, Claude, Gemini, Perplexity, Grok, and Google AI Overviews [86]. It fits agencies managing multi-client AI visibility with unified dashboards and white-label reporting, since agency bundles allow multiple client projects under one bundle with centralized billing and flexible prompt allocation [88].

It also fits B2B SaaS companies monitoring competitive citation positioning over time [89], content teams measuring how content distribution affects AI citation patterns week to week [90], and enterprise teams that need REST API access for historical citation data integration at the Scale tier [91].

Buyers who want citation monitoring combined with content optimization, AI traffic analytics, and reporting are a natural fit, since Indexly positions itself as a generative engine optimization platform rather than a pure tracker [93]. Buyers already using Indexly for indexing or backlink workflows may find the citation tracker a natural extension [96].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Indexly for historical AI citation tracking?
  • Is Indexly suitable for research teams that need auditable, multi-year citation archives?

Organizations requiring formally preserved, auditable historical snapshots over multiple years are probably not best served [97]. Research teams needing clearly documented historical data retention, versioned answer archives, or citation-network change analysis should look elsewhere or verify heavily first [97].

Buyers who need automated preservation of full AI response snapshots — prompts plus complete answers plus reasoning — are not a good fit, because Indexly does not explicitly advertise that as a dedicated archival feature [99]. Research institutions requiring long-term archival of AI model behavior snapshots independent of current citation tracking are also a poor fit [101].

Teams with very high prompt volumes seeking the lowest cost per prompt at the entry tier will find the $99/month Starter tier tight at 50 prompts and 3 models [98]. Buyers who need only backward-looking historical data without ongoing monitoring are poorly matched to a subscription model [103]. Organizations needing real-time intra-day citation updates across all models should not assume Indexly provides them, since the documented cadence is daily [104].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Indexly if I need documented historical snapshot archives?
  • When should a buyer choose a citation API or enterprise intelligence suite instead of Indexly?

Choose a platform with contractually documented retention, raw-response archiving, timestamped snapshots, and exportable historical datasets when auditability is mandatory [106]. Kimi's research points to MentionsAPI, which archives responses for 30 days with diff retrieval and provides citation diffing with added/removed arrays in webhook payloads [108], and to Trakkr, which treats first-seen, last-seen, and repeated observations as core fields [110].

Choose a more enterprise-oriented citation-intelligence platform when the buyer needs large-scale prompt portfolios, custom model coverage, deeper competitive intelligence, or formal data-governance commitments [106]. Google's research notes that enterprise platforms such as Brandwatch provide deep historical social listening and crisis monitoring at over $50,000/year, and that platforms such as AirOps provide cached SERP copies [111].

Choose a specialized analytics or internal data pipeline when the buyer needs citation-graph diffs and reproducible historical research rather than an integrated GEO optimization suite [106]. Buyers needing explicit citation replacement detection with structural difference analysis may prefer Presenc, which advertises that capability [113]. Buyers who need cross-provider citation normalization with documented parser maintenance should weigh MentionsAPI, which notes a quarterly maintenance burden for provider format changes [114].

For buyers who need very low-cost historical citation tracking at large prompt volumes, Anthropic's research points to Otterly.ai at $29/month with historical trend data, though with a narrower feature set [115]. Buyers who need one-time historical research snapshots without ongoing monitoring may consider a single month of data rather than an annual commitment [115].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Indexly before signing a contract for historical citation tracking?
  • Does Indexly retain historical citation data after cancellation, and can it be exported?

These questions come directly from the platform research and should be answered in writing before purchase.

  1. How many months or years of prompt answers, citations, URLs, and competitor observations are retained, and does "indefinite" apply equally to citations, mentions, sentiment, and referral traffic [116]?
  2. Are complete answer texts, source lists, timestamps, model versions, geography, and query parameters preserved for each observation [116]?
  3. Can the buyer export raw historical records and citation snapshots in CSV, JSON, or API form, and is that export available below the Scale tier [116]?
  4. Does the platform provide source gains/losses and citation-architecture diffs between arbitrary dates [116]?
  5. Which exact AI engines and model variants are included in each paid tier, and can coverage change without notice [116]?
  6. What are the API rate limits, historical-query limits, pagination rules, and overage fees [116]?
  7. Are historical records retained after cancellation, and is there a guaranteed data-export window [121]?
  8. Are prompts executed consistently enough for longitudinal comparison despite model, personalization, location, and response variability [116]?
  9. What enterprise terms cover security, access controls, uptime, support, data ownership, and custom retention [116]?
  10. Is the current entry price $99/month or $49/month, and is any free tier or free trial still available [123]?

Final AI Consensus Verdict

Indexly is a mixed-to-good fit for AI Citation Platforms for Historical Citation Tracking, with platform ratings spanning strong to uncertain. Two of seven included platforms named it during ranking discovery, at an average listed rank of 1.5.

The case for Indexly rests on advertised daily citation counts per URL by model, prompt-level trend history with diff views, competitor citation-gap analysis, six-engine coverage, and company-stated indefinite retention at publicly listed prices from $99/month [126]. The case against rests on unverified long-term retention, no documented immutable research snapshots, no verified citation-architecture diff, unclear API historical fields, and pricing conflicts across sources [131].

The practical verdict: Indexly appears suitable for near-term and operational monitoring of AI citations, prompts, competitors, domains, and URLs, especially for buyers who also want GEO optimization and AI traffic analytics. It should not be selected as the sole historical citation-research system until Indexly confirms retention duration, preserved research snapshots, raw-response export, citation-architecture change tracking, and enterprise data terms [131].

How This Review Was Produced

This review used the supplied platform fit-research responses for seven platforms: OpenAI, Anthropic, Google, Grok, Perplexity, DeepSeek, and Kimi. Each platform independently evaluated Indexly against the same use case: historical domain and URL citations, prompt-level trends, competitor movement, source gains and losses, citation architecture changes, and preserved research snapshots rather than current-state reporting.

Two of the seven platforms named Indexly during ranking discovery. Fit ratings were collected from all seven platform responses where supplied. Company-owned citations were distinguished from independent citations throughout. No personal testing, customer interviews, or independent verification was performed. The study date is 2026-09-17.

Methodology Limitations

Several limitations affect this review.

Platform-reported research dates differ from the authoritative run date. DeepSeek's response carries a research date of 2026-05-08, roughly four months before the 2026-09-17 study date, and its search was not enabled [136]. Its findings may be stale.

Company-owned citations materially outnumber independent citations in the supplied evidence. Most capability claims trace to Indexly's own pages, and platform agreement on those claims does not constitute independent verification.

Citations are platform-reported evidence, not independently verified facts. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Pricing conflicts were not resolved. Sources disagree on whether entry pricing is $49/month or $99/month, whether a free tier exists, and whether a $250/month Core plan is current [137].

Kimi could not crawl Indexly's site and labeled all product claims unverified [140]. DeepSeek ran without search enabled [136]. Both uncertain ratings should be read with those constraints in mind rather than as affirmative evidence of missing capability.

Explore more ai citation authority building guidance in the category directory.

Sources

Company-Owned Sources

Independent Sources

  • indexly: Local SEO citation and reputation management: https://findyourai.com/seo-geo/indexly/
  • Indexly Pricing 2026: from $99/mo — Review | SaaSpartout: https://saaspartout.com/marketplace/indexly/
  • Indexly Software Pricing, Alternatives & More 2026 | Capterra: https://www.capterra.com/p/10035205/Indexly/
  • Indexly AI Review: Pricing & Alternatives: https://www.conversiongems.com/tools/indexly-ai
  • Additional AI research evidence140 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:6-1
    3. AI research evidence record perplexity:c2
    4. AI research evidence record openai:c1
    5. AI research evidence record anthropic:6-1
    6. AI research evidence record grok:web:1
    7. AI research evidence record perplexity:c2
    8. AI research evidence record anthropic:6-2
    9. AI research evidence record anthropic:18-9
    10. AI research evidence record anthropic:6-4
    11. AI research evidence record anthropic:8-10
    12. AI research evidence record anthropic:8-12
    13. AI research evidence record anthropic:39-1
    14. AI research evidence record google:3.2.2
    15. AI research evidence record openai:c2
    16. AI research evidence record google:2.2.1
    17. AI research evidence record anthropic:13-2
    18. AI research evidence record openai:c1
    19. AI research evidence record anthropic:6-1
    20. AI research evidence record grok:web:1
    21. AI research evidence record perplexity:c2
    22. AI research evidence record google:1.2.1
    23. AI research evidence record anthropic:1-4
    24. AI research evidence record anthropic:6-4
    25. AI research evidence record google:1.1.6
    26. AI research evidence record anthropic:8-10
    27. AI research evidence record anthropic:6-2
    28. AI research evidence record anthropic:18-9
    29. AI research evidence record anthropic:8-12
    30. AI research evidence record grok:web:3
    31. AI research evidence record google:1.3.3
    32. AI research evidence record grok:web:4
    33. AI research evidence record anthropic:39-1
    34. AI research evidence record google:3.2.2
    35. AI research evidence record openai:c1
    36. AI research evidence record perplexity:c2
    37. AI research evidence record deepseek:c1
    38. AI research evidence record kimi:indexly-unverified
    39. AI research evidence record openai:c2
    40. AI research evidence record perplexity:c6
    41. AI research evidence record perplexity:c10
    42. AI research evidence record anthropic:18-1
    43. AI research evidence record kimi:mentionsapi-parser
    44. AI research evidence record google:3.2.6
    45. AI research evidence record google:3.2.7
    46. AI research evidence record anthropic:8-12
    47. AI research evidence record deepseek:c2
    48. AI research evidence record anthropic:6-1
    49. AI research evidence record anthropic:6-2
    50. AI research evidence record anthropic:6-4
    51. AI research evidence record anthropic:18-1
    52. AI research evidence record anthropic:18-9
    53. AI research evidence record anthropic:27-4
    54. AI research evidence record anthropic:8-12
    55. AI research evidence record anthropic:39-1
    56. AI research evidence record anthropic:8-14
    57. AI research evidence record anthropic:8-15
    58. AI research evidence record grok:web:3
    59. AI research evidence record anthropic:6-10
    60. AI research evidence record anthropic:27-1
    61. AI research evidence record anthropic:27-2
    62. AI research evidence record anthropic:25-3
    63. AI research evidence record anthropic:25-5
    64. AI research evidence record openai:c1
    65. AI research evidence record openai:c2
    66. AI research evidence record anthropic:6-14
    67. AI research evidence record anthropic:18-11
    68. AI research evidence record google:3.2.6
    69. AI research evidence record kimi:indexly-unverified
    70. AI research evidence record perplexity:c2
    71. AI research evidence record google:3.2.7
    72. AI research evidence record google:2.2.1
    73. AI research evidence record anthropic:18-3
    74. AI research evidence record openai:c2
    75. AI research evidence record google:2.2.1
    76. AI research evidence record anthropic:19-2
    77. AI research evidence record google:1.1.6
    78. AI research evidence record perplexity:c1
    79. AI research evidence record anthropic:12-2
    80. AI research evidence record anthropic:13-2
    81. AI research evidence record grok:web:2
    82. AI research evidence record grok:web:7
    83. AI research evidence record anthropic:15-3
    84. AI research evidence record anthropic:18-3
    85. AI research evidence record deepseek:c1
    86. AI research evidence record anthropic:6-4
    87. AI research evidence record anthropic:1-4
    88. AI research evidence record anthropic:1-1
    89. AI research evidence record anthropic:25-3
    90. AI research evidence record anthropic:8-12
    91. AI research evidence record anthropic:18-3
    92. AI research evidence record openai:c2
    93. AI research evidence record anthropic:4-4
    94. AI research evidence record anthropic:21-12
    95. AI research evidence record openai:c1
    96. AI research evidence record deepseek:c1
    97. AI research evidence record openai:c1
    98. AI research evidence record openai:c2
    99. AI research evidence record anthropic:39-1
    100. AI research evidence record anthropic:18-1
    101. AI research evidence record anthropic:4-4
    102. AI research evidence record google:2.2.1
    103. AI research evidence record anthropic:1-1
    104. AI research evidence record anthropic:8-10
    105. AI research evidence record anthropic:6-2
    106. AI research evidence record openai:c1
    107. AI research evidence record openai:c2
    108. AI research evidence record kimi:mentionsapi-archive
    109. AI research evidence record kimi:mentionsapi-diff
    110. AI research evidence record kimi:trakkr-snapshots
    111. AI research evidence record google:3.2.6
    112. AI research evidence record google:3.2.7
    113. AI research evidence record kimi:presenc-remediation
    114. AI research evidence record kimi:mentionsapi-parser
    115. AI research evidence record anthropic:1-1
    116. AI research evidence record openai:c1
    117. AI research evidence record anthropic:39-1
    118. AI research evidence record anthropic:18-3
    119. AI research evidence record anthropic:27-4
    120. AI research evidence record anthropic:6-4
    121. AI research evidence record openai:c2
    122. AI research evidence record deepseek:c1
    123. AI research evidence record perplexity:c1
    124. AI research evidence record anthropic:12-2
    125. AI research evidence record google:1.1.6
    126. AI research evidence record anthropic:6-2
    127. AI research evidence record anthropic:8-12
    128. AI research evidence record anthropic:6-10
    129. AI research evidence record anthropic:6-4
    130. AI research evidence record google:3.2.2
    131. AI research evidence record openai:c1
    132. AI research evidence record perplexity:c2
    133. AI research evidence record google:3.2.6
    134. AI research evidence record kimi:indexly-unverified
    135. AI research evidence record openai:c2
    136. AI research evidence record deepseek:c1
    137. AI research evidence record google:1.1.6
    138. AI research evidence record anthropic:12-2
    139. AI research evidence record anthropic:13-2
    140. AI research evidence record kimi:indexly-unverified

Verify this research

Review the study details behind this page or download the public machine-readable verification record.

Study date
September 17, 2026
Platforms analyzed
7
Source records
28
Ranking mentions
2 of 7
Platform share
29%
Final consensus rank
#5

Research trail and source mix

Configured platforms

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

Source mix

6 independent · 22 company-owned

Evidence support

24 direct · 2 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 1e2b229f31befaccc1c282fd4b4df9a321e6170e61db63ff5508a9c9a4f546dd