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AI Consensus Fit Review

Peec AI AI Visibility Platform Fit Review for SaaS Companies

Peec AI is a strong fit for SaaS companies that need daily AI-prompt monitoring, competitor benchmarking, recommendation tracking, citation analysis, and historical trend reporting across major AI search engines.

Research: 2026-09-197 usable platform responsesRead the methodology ↗

Answer Capsule

Peec AI is a strong fit for SaaS companies that need daily AI-prompt monitoring, competitor benchmarking, recommendation tracking, citation analysis, and historical trend reporting across major AI search engines. Five of seven platforms named Peec AI during the ranking stage, and it finished third overall with an average listed rank of 3.8 and a best rank of 2. The strongest reason to consider it is its focused combination of Share of Voice benchmarking, citation-source analysis, and daily prompt tracking at mid-market pricing. The main limitation is that Peec AI is an analytics-only platform: it diagnoses visibility gaps but does not create content, audit technical AEO health, or attribute AI-referred traffic to pipeline.

Research Snapshot

FieldDetail
Platform mentions in ranking stage5 of 7 platforms (deepseek, google, grok, openai, perplexity)
Share of included platform responses71.4%
Average listed rank3.8
Best listed rank2
Relevant product/model/planPeec AI brand AI Search Analytics plans; Pro or Advanced most often cited for SaaS teams tracking category, comparison, alternatives, and recommendation prompts
Overall use-case fitStrong (openai, grok); Good (anthropic, google, perplexity); Mixed (deepseek); Uncertain (kimi)
Research date2026-09-19

Why Peec AI Qualified for This Study

Questions This Section Answers

  • Is Peec AI a good choice for AI Visibility Platforms for SaaS Companies?
  • How many AI platforms recommended Peec AI for SaaS AI visibility tracking?

Peec AI qualified because it was named by five of the seven platforms during ranking discovery and finished third overall, with an average listed rank of 3.8 and a best rank of 2. It cleared the two-mention minimum with room to spare.

The platforms that named it converged on the same reason: Peec AI is purpose-built for tracking how AI systems mention, rank, and cite brands in category, comparison, alternatives, and recommendation prompts. OpenAI described it as "especially suitable for a SaaS company that wants a focused AI visibility system for competitive recommendation prompts, daily monitoring, citation analysis, and trend reporting" [1]. Grok rated it a "strong fit" for the same reason [2]. Anthropic, Google, and Perplexity rated it "good," while DeepSeek rated it "mixed" and Kimi rated it "uncertain" because its own retrieval could not verify the vendor's identity or pricing.

That split matters. The three lower-confidence ratings came from platforms that either failed official-site retrieval (deepseek, kimi) or flagged pricing conflicts (perplexity). They are verification caveats, not capability disagreements. This review treats them as such.

The Product, Model, Plan, or Service Most Relevant to AI Visibility Platforms for SaaS Companies

Questions This Section Answers

  • Which Peec AI plan is best for a SaaS company tracking category, comparison, and alternatives prompts?
  • Does Peec AI's Pro plan include enough prompts for a SaaS competitive benchmarking program?

The relevant offering is Peec AI's brand AI Search Analytics subscription, sold as Starter, Pro, and Advanced self-serve tiers, with agency and Enterprise tiers above them [3]. For a SaaS company tracking its own category, comparison, alternatives, and recommendation prompts, Pro is the most plausible default and Advanced is the better fit for multi-project or multi-country programs [5].

Peec AI documents visibility, position, sentiment, Share of Voice, competitor comparisons, prompt tracking, citation-source analysis, and prioritized actions for AI visibility [6]. It tracks brand mentions across ChatGPT, Gemini, Perplexity, Google AI Overviews, and Google AI Mode, with daily updates and prompt-level frequency trends [6]. Independent reviews describe the same core: citation intelligence, response position analysis, Share of Voice, sentiment analysis, competitive benchmarking, and reporting options [7].

One naming conflict needs flagging. The ranking stage referenced a "Professional Plan (€89/month)" and a "Starter plan," but the current vendor-maintained pricing reference lists Starter, Pro, and Advanced in U.S. dollars instead [5]. Whether "Professional" is an older name for Pro, a separate tier, or a stale reference could not be resolved from the supplied evidence. Buyers should confirm current tier names at signup.

What the AI Platforms Agreed About

Questions This Section Answers

  • What do AI platforms agree Peec AI does well for SaaS AI visibility tracking?
  • Is Peec AI good at citation analysis and competitive benchmarking for SaaS companies?

Five capabilities drew consistent, cross-platform agreement.

Competitive benchmarking. Peec AI reports side-by-side visibility, average position, sentiment, and Share of Voice against competitors by AI engine [8]. Independent reviews describe automatic competitor detection and gap analysis showing sources that mention competitors but not the tracked brand [9]. Grok's review confirmed the same pattern: visibility, Share of Voice, position, and sentiment tracked against competitors across prompts and topics [11].

Recommendation and prompt tracking. The platform supports custom prompt libraries and tracks brand mentions across major engines with daily updates [8]. Peec AI executes each prompt once every 24 hours on selected models [14]. Grok described daily runs across models for category, comparison, and recommendation prompts [15].

Citation analysis. Peec AI identifies the most-cited sources for tracked prompts and surfaces citation-oriented opportunities [8]. It shows URLs and domains cited by AI engines when forming answers [16], ranked by citation count [17]. One independent review reported that a brand's own site is only 2–6% of what AI engines cite, making external sources the dominant lever [18].

Historical trends. The product reports visibility, mention frequency, position, sentiment, and Share of Voice over time with daily tracking [8]. Grok confirmed time-series graphs for visibility, sentiment, and position [19].

Data access and reporting. Peec AI documents CSV export, API access, Looker Studio integration on Advanced, and MCP access for querying visibility, competitors, sources, trends, and prompt data through compatible assistants [13]. Independent reviews confirm CSV exports, a Looker Studio connector, API on higher tiers, and MCP integration [21].

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • What are the main limitations of Peec AI for SaaS companies tracking AI visibility?
  • Does Peec AI have unresolved pricing or compliance issues buyers should verify?

The disagreements cluster around pricing, compliance, and execution depth rather than core capability.

Pricing conflicts. This is the largest unresolved issue. OpenAI reported that the live pricing page exposes plan inclusions but not numeric monthly prices, and that the dollar figures come from a separate vendor-maintained reference listing Starter at $95/month, Pro at $245/month, and Advanced at $495/month [22]. Anthropic reported euro-denominated pricing: €70/€180/€360 annually or €85/€205/€425 monthly [23]. Perplexity reported the official-site snippet as Starter $95, Pro $245, Advanced $495 [24]. Google reported a March 2026 transition to standardized "Pricing for Brands" tiers at $95/$245/$495, with legacy European billing at €89 for 25 prompts [25]. The €89/month Professional figure from the ranking stage could not be verified against any current source [22].

Model coverage limits. All self-serve plans cap tracking at three AI models, with additional engines sold as paid add-ons [27]. Add-on pricing itself conflicts: OpenAI's reference lists $35/$85/$165 per month by tier [22], while Anthropic reports €25/€55/€115 [23] and another independent review reports +$30/+$70/+$140 [28]. Buyers should treat all add-on figures as unconfirmed.

Compliance uncertainty. One source claims Peec AI holds SOC 2 Type II, HIPAA, GDPR, and CCPA coverage [29], while an independent review states Peec "does not advertise SOC 2 compliance" and that API access and SSO are Enterprise-only [30]. This conflict is unresolved.

Execution depth. Multiple independent reviews describe Peec AI as diagnostic rather than prescriptive: it "excels at diagnosis but offers no treatment" [31], shows visibility drops without explaining why [32], and does not write answer-focused articles, comparison pages, or FAQ content [33]. One competitor review put it plainly: Peec is "a tool designed for monitoring, not for action" [34].

No historical backfill. Tracking begins on the setup date with no retrospective data [35].

No traffic attribution. Peec AI does not estimate AI-referred traffic or connect citations to leads [37]. One review states that if proving pipeline impact is the primary requirement, "Peec alone will not do it" [39].

Identity verification. DeepSeek's ranking-stage retrieval of the official site failed and identity used an exact-name fallback, leaving plan names and pricing reported-but-unverified in that platform's assessment [40]. Kimi found no source verifying the product's existence, features, or pricing at all [41]. These are retrieval failures, not evidence of absence.

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Peec AI support citation analysis and Share of Voice benchmarking for SaaS competitors?
  • How does Peec AI collect AI visibility data, and does it use real browser sessions?

Peec AI maps cleanly onto all five criteria in this study's category definition.

CriterionPeec AI capabilityAssessment
Competitive benchmarkingSide-by-side visibility, position, sentiment, Share of Voice per engine; automatic competitor detection; gap analysisAdvantage
Recommendation trackingBrand mentions and positioning in AI responses to category, comparison, and recommendation prompts; daily runsAdvantage
Citation analysisExact URLs and domains cited by engines, categorized by source type, ranked by citation countAdvantage
Prompt monitoringCustom prompt libraries; each prompt executed once every 24 hours; filtering by country, language, model, and prompt tagsAdvantage
Historical trendsTime-series visibility, sentiment, position, and Share of Voice; no backfill before setup dateAdvantage with limitation

Two methodology details are worth noting. Peec AI uses browser automation to interact with AI platforms through their web interfaces, simulating real users rather than calling official APIs [42]. The vendor states this captures the same responses actual users see and keeps working when APIs change or restrict access [44]. Independent reviews describe the same approach and argue it avoids accuracy gaps of API-based competitors [45].

Multi-country and multi-language tracking is a documented strength, with per-country and per-language filtering by model and prompt tags [47]. The Advanced plan includes three countries per project [49].

On measurement limits, Peec AI's metrics reflect observed AI responses for tracked prompts and should not be read as fixed search rankings or guaranteed traffic, conversions, or sales [50]. Vendor documentation also notes that AI models may not see content behind paywalls or dependent on JavaScript, so citation analysis can underrepresent inaccessible or dynamically rendered SaaS content [50].

Pricing, Fees, Contracts, and Ongoing Costs

Questions This Section Answers

  • How much does Peec AI cost per month, and are there setup or cancellation fees?
  • What extra fees does Peec AI charge for additional AI models beyond the three included?

Pricing is the least settled part of this evaluation. The current official pricing page publishes brand tiers but did not expose numeric monthly prices in the retrieved page text [51]. The figures below come from vendor-maintained and independent references and should be reconfirmed before purchase.

PlanReported pricePromptsModelsProjects
Starter$95/month; €70 annual / €85 monthly5031
Pro$245/month; €180 annual / €205 monthly15032
Advanced$495/month; €360 annual / €425 monthly35035
EnterpriseCustomUnlimitedAllUnlimited

Additional AI models beyond the three included are billed as add-ons. Reported figures conflict: $35/$85/$165 per month by tier [51] versus €25/€55/€115 [52] versus +$30/+$70/+$140 [53]. Annual billing is described as saving approximately 15% [51].

Contract and cancellation terms are not clearly established in public materials. Monthly and annual billing are both referenced, but minimum contract length, cancellation timing, refunds, renewal mechanics, and treatment of unused prompt capacity are unclear [51]. Payment is due within 14 days of invoice unless otherwise specified, and upon termination customer data is deleted or returned on request except where legally required [55]. A 7-day free trial with no credit card required is reported across multiple independent reviews [56].

Unlimited user seats are included on all plans, eliminating per-seat licensing [59]. Taxes, implementation services, usage overages, API limits, and custom support fees are not clear from retrieved public pricing text [51].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Peec AI for SaaS AI visibility monitoring?
  • Is Peec AI a good fit for mid-market B2B SaaS companies tracking AI recommendations?

Peec AI fits best where a SaaS team already has content and marketing execution capacity and needs reliable diagnostics to direct it.

The strongest-fit profiles across platforms:

  • Mid-market B2B SaaS ($2M–$50M ARR) seeking daily AI visibility monitoring without enterprise compliance overhead [62].
  • Series A/B SaaS demand generation teams with content production teams ready to act on visibility data [63].
  • SaaS marketing, SEO, content, and product-marketing teams tracking category, comparison, alternative, and recommendation prompts [64].
  • Teams needing side-by-side visibility, position, sentiment, and Share of Voice against named competitors [64].
  • Teams that need URL- and domain-level citation analysis to identify influential review sites, directories, and editorial pages [64].
  • Organizations requiring daily monitoring, exportable data, or Looker Studio/API integrations [64].
  • Agencies managing multiple SaaS clients needing unlimited seats and client-facing dashboards [65].
  • Brands needing multi-country and multi-language AI visibility tracking [67].

Independent reviews converge on the same buyer: small and mid-sized marketing teams wanting affordable AI search visibility tracking [68], and teams that already know how to turn findings into content, PR, technical fixes, and distribution [69].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Peec AI for AI Visibility Platforms for SaaS Companies?
  • Is Peec AI suitable for SaaS companies that need AI traffic attribution or CRM integration?

Peec AI is a poor fit for buyers whose primary need is execution, attribution, or enterprise governance.

  • Buyers seeking a traditional SEO rank tracker rather than AI-answer visibility analytics [70].
  • Teams expecting Peec AI to create, publish, or modify content; the platform reports opportunities but does not edit rankings or publish content [70].
  • SaaS buyers who must prove AI-driven pipeline ROI or conversion attribution to leadership [72].
  • Enterprise companies requiring SOC 2 Type II, native HubSpot or Salesforce integration, or on-premise deployment [74].
  • Companies requiring broad multi-model coverage without per-model add-on fees in entry plans [76].
  • Organizations needing programmatic API access on Starter, Pro, or Advanced; API access is Enterprise-only and reported as in beta with limited documentation [77].
  • Teams needing technical AEO auditing such as robots.txt, llms.txt, structured data validation, or crawlability checks [79].
  • Very small teams tracking only a handful of prompts without competitor, citation, or historical analysis needs [70].
  • Buyers requiring fully verified independent performance benchmarks rather than primarily vendor-documented capabilities [70].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Peec AI for a SaaS buyer who needs content execution or traffic attribution?
  • When should a SaaS company choose Profound, Scrunch AI, or Promptmonitor instead of Peec AI?

Several platforms in this study's evidence base address gaps Peec AI does not close.

Choose a broader SEO suite when the buyer needs conventional keyword rankings, backlinks, technical SEO, and AI visibility in one established platform [80].

Choose a more enterprise-oriented AI visibility platform when the buyer requires large-scale prompt volumes, extensive governance, procurement documentation, or highly customized reporting [80]. Profound ($399+/month) and Scrunch AI ($250+/month) are positioned for enterprise depth and broader coverage [81].

Choose a content-optimization platform when the main requirement is generating briefs or content rather than monitoring AI visibility and citations [80]. Scalenut is described as better suited for end-to-end execution [82].

Choose a lower-cost option when the SaaS company tracks only a small number of prompts. Promptmonitor ($29/month) and Otterly AI offer cheaper entry points for early-stage exploration [81].

Choose a platform with closed-loop fix verification when automated re-checking after implementation is required; Viali explicitly offers this against measurement-only tools [83].

Choose a platform with documented US-dollar pricing and transparent trials when price certainty is a procurement gate; GrackerAI ($99–$499/month) and SE Visible ($99–$189/month) publish documented 7-day and 10-day trials [84].

Choose a platform with native traffic attribution when connecting AI visibility to GA4 sessions and conversions is the primary requirement [86].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a SaaS buyer confirm with Peec AI before signing a contract?
  • Which Peec AI plan limits and add-on costs need written confirmation before purchase?

The following items should be confirmed in writing before purchase, drawn from the verification questions each platform raised.

Pricing and plans. Confirm current plan names, monthly prices in USD, annual-billing discounts, and whether the €89/month Professional figure is current or retired [87]. Confirm exact prompt limits for Starter, Pro, and Advanced, since sources cite 50 versus 25 prompts for Starter [89].

Models and geography. Confirm which AI models and U.S. locations are included in Pro and Advanced today, and the exact per-model add-on cost for a fourth engine [87].

Prompt mechanics. Confirm whether category, comparison, alternative, and recommendation prompts all count identically toward the prompt allowance, and how prompt runs are sampled, deduplicated, localized, and refreshed [87].

Citation methodology. Confirm whether citation analysis distinguishes visible citations from retrieved sources for every model purchased [87].

Data access and retention. Confirm API, CSV, Looker Studio, and MCP limits and whether any carry separate fees [87]. Confirm whether historical data is retained after downgrade, cancellation, or plan changes, and whether any backfill is possible [92].

Contract terms. Confirm minimum term, cancellation, renewal, refund, and annual-contract provisions, and what happens if prompt, model, project, or country limits are exceeded [87].

Compliance. Confirm SOC 2 Type II status and whether SSO is Enterprise-only [93].

Identity. Confirm that the contracting entity, official domain, pricing page, and order-form terms all correspond to Peec AI [87].

Validation. Ask whether Peec AI can provide independent validation, methodology documentation, or a representative SaaS benchmark [87].

Final AI Consensus Verdict

Peec AI earns a strong fit rating for AI Visibility Platforms for SaaS Companies, with verification caveats that should shape the purchase decision rather than block it.

Five of seven platforms named it during ranking discovery, and it finished third overall with an average listed rank of 3.8 and a best rank of 2. OpenAI and Grok rated the fit "strong"; Anthropic, Google, and Perplexity rated it "good"; DeepSeek rated it "mixed" and Kimi "uncertain," both because their own retrieval could not verify identity or pricing.

The consensus case is clear: Peec AI directly supports category, comparison, alternatives, and recommendation prompt monitoring, combines competitive Share of Voice benchmarking with position, sentiment, visibility, and citation data, and provides daily tracking and historical trends aligned with monitoring changes in AI recommendations [95]. Pro is the most plausible default for an established SaaS team; Advanced suits multi-project or multi-country programs.

The consensus caveats are equally clear. Pricing is reported inconsistently across currencies and tier names, the €89/month Professional figure could not be verified, SOC 2 status is disputed, self-serve plans cap at three models with conflicting add-on pricing, there is no historical backfill, no traffic attribution, and no content execution. Independent validation of accuracy, model coverage, historical data stability, or customer outcomes was not identified in the reviewed sources.

For a SaaS company that already produces content and needs reliable diagnostics to direct it, Peec AI is a defensible choice. For a SaaS company that needs attribution, execution, or enterprise compliance, another option in this category is likely a better fit.

How This Review Was Produced

This review evaluates Peec AI only for the use case of AI Visibility Platforms for SaaS Companies. It is not a broad company review.

The study used a seven-platform research panel: OpenAI (gpt-5.6-luna), Anthropic (claude-haiku-4-5-20251001), Google (gemini-3.5-flash), Grok (x-ai/grok-4.3), Perplexity (perplexity/sonar), DeepSeek (deepseek-v4-flash), and Kimi (moonshotai/kimi-k2.6). Each platform was asked which AI visibility platforms it would recommend for SaaS companies tracking category, comparison, alternatives, and product-recommendation prompts, and why. Peec AI was named by five of the seven platforms during ranking discovery and finished third overall.

Each platform then produced a structured fit assessment covering competitive benchmarking, recommendation tracking, citation analysis, prompt monitoring, historical trends, pricing, limitations, and verification questions. Those assessments, plus the citations each platform supplied, form the evidence base for this review. All platform research was conducted on 2026-09-19 except DeepSeek, which reported 2026-01-05.

Methodology Limitations

Several limitations apply.

Platform-reported evidence. Citations are platform-reported evidence, not independently verified facts. No-search model claims require explicit verification before being described as current facts. DeepSeek's research ran without search enabled.

Date discrepancies. Platform-reported research dates differ from the authoritative run date of 2026-09-19. DeepSeek reported 2026-01-05. Platform-reported dates are provenance metadata and do not independently prove freshness.

Ranking versus fit. All seven platforms evaluated fit, but platform mentions count only platforms that named the entity during ranking discovery. Agreement among AI platforms does not prove product quality.

Unresolved conflicts. Conflicting product names, pricing, and capabilities were not resolved by guessing. The €89/month Professional plan, SOC 2 status, add-on pricing, and prompt caps remain disputed across sources and should be verified directly.

Identity qualification. Official-site retrieval failed for one or more mentions during ranking discovery, and identity used an exact-name fallback. The matching reported domain was retained for downstream research but remains unverified. The official Peec AI homepage retrieval also failed because the HTML exceeded the size limit, so no official-page excerpt was available for verification.

Source validation. The supplied URLs were collected from platform responses and were not independently validated by the writer stage. Independent evidence validating Peec AI's accuracy, model coverage, historical data stability, or customer outcomes was not identified in the reviewed sources.

Vendor versus independent evidence. Company-owned sources describe intended capabilities. Independent reviews describe observed behavior. Where the two conflict, both are reported.

Explore more ai visibility llm monitoring guidance in the category directory.

Sources

Company-Owned Sources

  • AI Visibility Platform | Centium: https://centium.ai/platform
  • Welcome to Peec AI - Peec.ai Docs: https://docs.peec.ai/intro-to-peec-ai
  • Quickstart Guide - Peec.ai Docs: https://docs.peec.ai/quickstart-guide
  • AI Visibility Score & Monitoring Pricing | GrackerAI: https://gracker.ai/ai-visibility
  • Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/
  • Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/ai-instructions
  • Google AI Mode visibility tracker - Peec AI: https://peec.ai/ai-mode-visibility-tracker
  • Terms of Use for Peec AI - AI Search Analytics for Marketing Teams: https://peec.ai/legal/terms-of-use
  • Pricing for Brands: https://peec.ai/pricing
  • Pricing for Peec AI - AI Search Analytics for Marketing Teams and SEO Agencies: https://peec.ai/pricing?orderBy=name0
  • Peec AI - AI Visibility and Share of Voice Tracking: https://peec.ai/product/ai-visibility
  • AI Visibility for SaaS Products | SeenByAI: https://seenbyai.co/for-saas
  • AI Visibility for SaaS | Strajist: https://strajist.ai/ai-visibility-for/saas
  • Platform: Discover, Improve, Measure AI Visibility | Viali: https://viali.ai/product/
  • SE Visible — AI Visibility Tool with Pricing: https://visible.seranking.com/
  • New in Peec AI: AI Referrals & My Website: https://www.youtube.com/watch?v=NjT3mN5c4N8
  • Additional AI research evidence96 records
    1. AI research evidence record openai:c1
    2. AI research evidence record grok:web:0
    3. AI research evidence record openai:c3
    4. AI research evidence record anthropic:12-2
    5. AI research evidence record openai:c2
    6. AI research evidence record openai:c1
    7. AI research evidence record anthropic:10-7
    8. AI research evidence record openai:c1
    9. AI research evidence record anthropic:26-1
    10. AI research evidence record anthropic:26-3
    11. AI research evidence record grok:web:0
    12. AI research evidence record grok:web:2
    13. AI research evidence record openai:c2
    14. AI research evidence record anthropic:5-7
    15. AI research evidence record grok:web:6
    16. AI research evidence record anthropic:24-8
    17. AI research evidence record anthropic:20-6
    18. AI research evidence record anthropic:16-10
    19. AI research evidence record grok:web:1
    20. AI research evidence record grok:web:4
    21. AI research evidence record anthropic:12-7
    22. AI research evidence record openai:c2
    23. AI research evidence record anthropic:12-2
    24. AI research evidence record perplexity:c2
    25. AI research evidence record google:1.2.1
    26. AI research evidence record google:1.2.7
    27. AI research evidence record anthropic:12-10
    28. AI research evidence record anthropic:15-2
    29. AI research evidence record anthropic:39-1
    30. AI research evidence record anthropic:30-10
    31. AI research evidence record anthropic:26-6
    32. AI research evidence record anthropic:26-7
    33. AI research evidence record anthropic:26-9
    34. AI research evidence record anthropic:19-3
    35. AI research evidence record anthropic:36-3
    36. AI research evidence record anthropic:36-8
    37. AI research evidence record anthropic:32-19
    38. AI research evidence record anthropic:44-15
    39. AI research evidence record anthropic:32-20
    40. AI research evidence record deepseek:c1
    41. AI research evidence record kimi:unverified-normalization
    42. AI research evidence record anthropic:38-11
    43. AI research evidence record anthropic:38-12
    44. AI research evidence record anthropic:38-13
    45. AI research evidence record anthropic:42-1
    46. AI research evidence record anthropic:42-2
    47. AI research evidence record anthropic:1-20
    48. AI research evidence record anthropic:5-1
    49. AI research evidence record anthropic:12-2
    50. AI research evidence record openai:c2
    51. AI research evidence record openai:c2
    52. AI research evidence record anthropic:12-2
    53. AI research evidence record anthropic:15-2
    54. AI research evidence record anthropic:16-9
    55. AI research evidence record anthropic:29-11
    56. AI research evidence record anthropic:30-2
    57. AI research evidence record anthropic:32-2
    58. AI research evidence record anthropic:34-2
    59. AI research evidence record anthropic:1-9
    60. AI research evidence record anthropic:12-6
    61. AI research evidence record anthropic:15-1
    62. AI research evidence record anthropic:6-12
    63. AI research evidence record anthropic:7-1
    64. AI research evidence record openai:c2
    65. AI research evidence record anthropic:1-9
    66. AI research evidence record anthropic:7-2
    67. AI research evidence record anthropic:1-20
    68. AI research evidence record anthropic:4-4
    69. AI research evidence record anthropic:28-3
    70. AI research evidence record openai:c2
    71. AI research evidence record anthropic:26-9
    72. AI research evidence record anthropic:32-20
    73. AI research evidence record anthropic:44-15
    74. AI research evidence record anthropic:30-10
    75. AI research evidence record anthropic:44-18
    76. AI research evidence record anthropic:12-10
    77. AI research evidence record anthropic:43-1
    78. AI research evidence record anthropic:44-3
    79. AI research evidence record anthropic:45-4
    80. AI research evidence record openai:c2
    81. AI research evidence record anthropic:1-3
    82. AI research evidence record google:1.3.7
    83. AI research evidence record kimi:viali-product
    84. AI research evidence record kimi:gracker-pricing
    85. AI research evidence record kimi:sevisible-pricing
    86. AI research evidence record google:1.1.3
    87. AI research evidence record openai:c2
    88. AI research evidence record deepseek:c1
    89. AI research evidence record anthropic:12-2
    90. AI research evidence record google:1.2.7
    91. AI research evidence record anthropic:12-10
    92. AI research evidence record anthropic:36-3
    93. AI research evidence record anthropic:30-10
    94. AI research evidence record anthropic:39-1
    95. AI research evidence record openai:c1
    96. AI research evidence record openai:c2

Independent Sources

Verify this research

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

Study date
September 19, 2026
Platforms analyzed
7
Source records
52
Ranking mentions
5 of 7
Platform share
71%
Final consensus rank
#3

Research trail and source mix

Configured platforms

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

Source mix

34 independent · 18 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 2184c3bbda7bd93ae44514647f6d0431b22b93cab9c6bacffee2c48befcc6ca3