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AI Consensus Fit Review

Peec AI AI Search Partner Fit Review for Citation Intelligence and GEO Strategy

Peec AI is a good fit for the citation-intelligence half of this use case and a partial fit for the GEO-strategy half.

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

Answer Capsule

Peec AI is a good fit for the citation-intelligence half of this use case and a partial fit for the GEO-strategy half. Three of seven platforms named it during the ranking stage (openai, perplexity, deepseek), a 42.9% share of included platform responses, at an average listed rank of 5.0 and a best rank of 2. Its strongest reason to consider it is URL- and domain-level citation tracking that separates sources "used" from sources "cited," paired with competitor source-gap analysis and prioritized actions [1]. The main limitation is that the public evidence describes measurement, diagnosis, and recommendations rather than content production, outreach, or implementation, and pricing, model coverage, and contract terms conflict across sources [4].

Research Snapshot

FieldFinding
Platform mentions in ranking stage3 of 7 platforms (openai, perplexity, deepseek)
Share of included platform responses42.9%
Average listed rank5.0
Best listed rank2 (perplexity)
Relevant product/model/planPeec AI brand monitoring / AI visibility platform; Pro or Advanced for citation intelligence and GEO strategy; Enterprise for expanded model coverage and integrations
Overall use-case fitGood for citation intelligence and GEO measurement; partial for GEO strategy execution
Research date2026-09-18

Ranks by platform were deepseek 9, openai 4, and perplexity 2. Four platforms that submitted fit research — anthropic, google, grok, and kimi — did not name Peec AI during ranking discovery, so their fit ratings (mixed, strong, strong, and uncertain respectively) are not ranking endorsements.

Why Peec AI Qualified for This Study

Questions This Section Answers

  • Is Peec AI a good choice for AI Search Partners for Citation Intelligence and GEO Strategy?
  • How many AI platforms actually named Peec AI during the ranking stage for this use case?

Peec AI qualified because it was named by three of the seven platforms that participated in ranking discovery, clearing the study's two-mention minimum, and because its described product maps directly onto the citation-intelligence portion of the buyer prompt [7].

The qualification is uneven. Perplexity ranked it second, OpenAI fourth, and DeepSeek ninth, producing an average listed rank of 5.0. DeepSeek's research ran on 2026-06-12 rather than the 2026-09-18 study date, and its own notes state that tier names, model lists, and prices were not concretely verified in the source it checked [9]. Kimi, which did not name Peec AI in ranking, reported that official-site retrieval failed and that no source in its search corpus mentioned the entity at all, rating fit as uncertain [10].

That split is itself the finding: Peec AI is well documented by some platforms and effectively invisible to one. Buyers should treat the three ranking mentions as evidence of relevance to the use case, not as evidence of product quality. The full field of providers evaluated for this use case is tracked in the AI Search Partners for Citation Intelligence and GEO Strategy consensus index.

The Product, Model, Plan, or Service Most Relevant to AI Search Partners for Citation Intelligence and GEO Strategy

Questions This Section Answers

  • Which Peec AI plan should a buyer choose if they need citation intelligence and GEO strategy for multiple brands or countries?
  • Does Peec AI sell software only, or does it also deliver GEO strategy execution as a service?

The relevant offering is Peec AI's AI visibility and brand monitoring platform, with Pro or Advanced as the self-serve tiers most often associated with serious citation-intelligence work and Enterprise positioned for expanded model coverage and integrations [11].

Platforms describe the product consistently at the feature level. Peec AI reports the URLs and domains AI engines retrieve or cite, distinguishes sources "used" in generating an answer from sources explicitly "cited," classifies source types, and identifies gaps where competitors are cited but the buyer is not [11]. It also supports prompt management, competitor benchmarking, visibility, position, sentiment, and share of voice [11].

What the platforms do not agree on is whether Peec AI is a partner or a tool. OpenAI states plainly that the public evidence does not clearly establish whether Peec AI provides services, partner-led implementation, or only software [11]. Anthropic reaches a similar conclusion, describing the platform as monitoring-only with no content creation, optimization implementation, or traffic attribution [18]. Google, by contrast, frames it as a "pure-play" measurement instrument that expects an in-house team to execute [20].

What the AI Platforms Agreed About

Questions This Section Answers

  • What does Peec AI do best for citation intelligence compared with other AI visibility tools?
  • Is Peec AI strong enough at source-gap analysis to justify buying it for GEO strategy?

Agreement was strong, though not unanimous, on three points: citation-source depth, competitor benchmarking, and multi-region tracking without per-region surcharges.

On citation depth, multiple platforms independently describe the same capability. Peec AI tracks both "used" and "cited" sources at domain and URL level with citation frequency [21], and its documentation defines sources as all URLs AI models access during response generation while citations are the sources explicitly referenced [23]. OpenAI describes the same URL- and domain-level analysis plus source classification and gap identification [24]. Grok describes explicit citations and used citations with source-type categorization [25].

On competitive benchmarking, platforms agree the platform tracks share of voice and position against competitors per prompt and shows which sources drive competitor citations [26].

On geography, independent reviews state that multi-country and multi-language monitoring is included at no extra cost on all plans, which several reviewers call a genuine differentiator against competitors charging per region [28].

Platforms also converged on the diagnosis-versus-execution boundary. Google's reviewer notes Peec AI is solid for data, mapping citation sources, and gap analysis but stops at manual recommendations [32]. Anthropic describes it as excelling at diagnosis but offering no treatment [33]. This is agreement about scope, not about quality.

Where the AI Platforms Disagreed or Were Uncertain

Questions This Section Answers

  • How many AI engines does Peec AI actually track on self-serve plans, and is Claude included?
  • Why do Peec AI's published prices differ between sources, and which figure should a buyer budget for?

Disagreement clustered around model coverage, pricing, and whether Peec AI exists as described.

Model coverage. Anthropic reports that every self-serve plan tracks only three models chosen from ChatGPT, Google AI Mode, AI Overviews, Microsoft Copilot, Perplexity, and Gemini, with a fourth or fifth engine costing roughly €30/month on Starter, €70 on Pro, and €140 on Advanced, and Claude, DeepSeek, Qwen, GPT-5 Search, and Mistral reserved for Enterprise covering up to 11 models [34]. Google reports the same three-model cap but different add-on prices — $35/month on Starter, $85 on Pro, $165 on Advanced [37]. Anthropic separately flags an internal inconsistency: one source says Enterprise supports up to 13 models, another says 11, and Peec AI's own pricing page states 11 while its AI-instructions page lists 13 [36]. Perplexity likewise reports that public sources conflict on default model counts and add-on pricing [38].

Pricing. Monthly figures of approximately $95, $245, and $495 for Starter, Pro, and Advanced recur across platforms [40]. Annual-billing equivalents of approximately $80, $205, and $420 also recur [44]. OpenAI attributes the gap to billing cadence or page presentation and warns against relying on a single quoted figure [46]. Perplexity rates pricing confidence low and notes currency differences across sources [38].

Existence and identity. Kimi could not verify the entity at all, reporting that official-site retrieval failed, that no source in its corpus mentioned Peec AI, and that the name may reflect a ranking-stage reference error [47]. The deterministic identity audit for this study records the same failure — the official homepage returned an HTML-exceeded-size error — and notes that identity matching used an exact-name fallback with the reported domain left unverified. This is a genuine conflict, not a rounding difference, and it is the single strongest reason to verify the contracting entity before purchase.

Sentiment tracking. Anthropic notes one April 2026 agency review said the platform lacked sentiment tracking while later reviews confirm it is available on all plans, likely reflecting a product update between April and June 2026 [48].

Use-Case-Specific Features and Capabilities

Questions This Section Answers

  • Does Peec AI track which specific URLs and domains AI engines cite, or only brand mentions?
  • Can Peec AI connect AI citations to website traffic, leads, or revenue?

Citation intelligence is the platform's clearest strength for this use case. Peec AI reports the URLs and domains AI engines retrieve or cite, provides domain- and URL-level analysis, classifies source types, and identifies gaps where competitors are cited but the buyer is not [49]. Its documentation distinguishes sources (all URLs accessed during generation) from citations (sources explicitly referenced) [50], and independent reviews confirm the used-versus-cited distinction with citation frequency tracking [51].

GEO strategy support is diagnostic rather than operational. The platform supports prompt management, AI-suggested prompts, competitor benchmarking, visibility, position, sentiment, share of voice, source-gap analysis, and an Actions workflow that groups source and competitor gaps into prioritized content, PR, partnership, or outreach recommendations [49]. Google describes the output as a manual "to-do" list naming specific authors to contact or Wikipedia pages to target [54]. Anthropic characterizes the same capability as prioritized opportunity scoring by source type that still requires external content execution [55].

Coverage is plan-dependent. Public product information describes monitoring across ChatGPT, Google AI Overviews, Google AI Mode, Gemini, Perplexity, and other engines, but exact model availability by plan and geography requires verification given the three-model self-serve limit [49].

Recommendation and shopping intelligence appears in the current pricing page, which describes product-catalog upload, SKU-level tracking, shopping query fanouts, shopping source visibility, and visibility-lift reporting in the Pro feature set [58]. Google separately describes an agent and bot auditing module that checks robots.txt and highlights crawl blocks or paywalls [54].

Attribution is the clearest gap. Independent reviews state the platform has no AI traffic estimation and no citation-to-lead attribution, and cannot connect citations to visits or leads [59]. Google's reviewer describes an AI Referrals feature with Google Analytics connection to measure traffic, conversions, and bot activity [61] — a direct conflict with the no-attribution finding that buyers must resolve with the vendor.

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 do extra AI engines cost on Peec AI, and does annual billing actually save money?

Published self-serve pricing centers on three tiers, with monthly figures reported as approximately $95 (Starter), $245 (Pro), and $495 (Advanced) [62]. Annual-billing equivalents are reported as approximately $80, $205, and $420, a discount of roughly 15% [66]. Anthropic also reports euro-denominated figures of €85/€205/€425 monthly and €70/€180/€360 annual, which do not convert cleanly to the dollar figures and reinforce that currency and billing cadence materially change the displayed price [63].

Included capacity differs by tier. Starter is reported at 50 prompts, one project, one country, and three selected models; Pro at 150 prompts, two projects, and three countries; Advanced at 350 prompts, five projects, and three countries with multi-country support and Looker Studio integration [62]. Google reports Advanced at five projects and 350 prompts with Looker Studio [68].

Additional fees are the least settled area. Extra engines are reported at €25–140/month depending on tier by one platform [69] and at $35/$85/$165 per month by another [68]. Enterprise pricing is custom across all platforms, with API access, SSO, and additional models described inconsistently [70]. OpenAI notes that product-catalog, SKU, integration, or higher-volume requirements may require a higher tier or separate commercial terms [62].

Contract terms are largely unverified. Public evidence does not establish minimum contract duration, refund policy, cancellation notice, renewal mechanics, data-retention terms, or service-level commitments [72]. Anthropic reports a free 7-day trial with no credit card required, unlimited seats on all paid plans, and a 15% annual discount [63]. Google reports a free trial exists but that its exact length is not published on the primary pricing pages [73]. DeepSeek could not verify pricing, contract, or cancellation terms at all [74], and Perplexity found no clearly verified cancellation, refund, or minimum-term terms [75].

Best Suited For

Questions This Section Answers

  • Who gets the most value from Peec AI for citation intelligence and GEO strategy?
  • Is Peec AI a good fit for agencies managing AI visibility across multiple clients?

Peec AI is best suited to in-house SEO, content, and brand teams that need citation and source intelligence across major AI-answer platforms and already have the capacity to act on it [76].

Platforms converge on a similar buyer profile: teams prioritizing competitor benchmarking, share of voice, prompt-level monitoring, and source-gap analysis [76]; agencies managing multiple clients that need clean multi-brand visibility dashboards and prompt-level reporting [77]; B2B SaaS and content-driven brands tracking citation patterns and high-intent prompts with visibility gaps [77]; and multi-region or multi-language teams that want to avoid per-region fees [78].

Google adds e-commerce brands tracking products in AI shopping carousels and agencies delivering white-label AI search visibility and brand perception reports [80]. Teams wanting a relatively transparent self-serve platform before committing to enterprise or agency-led services are also a stated fit [76].

The common thread across platforms is internal execution capacity. Anthropic cites an expectation of 15–25 hours weekly for content creation, authority building, and monitoring under a DIY approach [81].

Probably Not Best Suited For

Questions This Section Answers

  • Who should not choose Peec AI for AI Search Partners for Citation Intelligence and GEO Strategy?
  • Is Peec AI unsuitable for enterprise buyers with SOC 2 or HIPAA procurement requirements?

Buyers seeking a fully managed GEO program covering strategy, content creation, digital PR, implementation, and execution should look elsewhere, because the public evidence primarily describes software, analytics, and recommended actions rather than implementation services [82].

Organizations requiring broad model coverage, high-volume API access, white-label agency workflows, or bespoke integrations should not assume availability without confirming Enterprise terms, given the three-model self-serve cap and conflicting Enterprise model counts [82]. Teams needing Claude, DeepSeek, or other Enterprise-only engines without custom contracts are also flagged as a poor fit [87].

Enterprise buyers with security requirements are a specific exclusion. Independent review evidence states Peec AI lacks SOC 2 Type II, HIPAA, SCIM support, and public penetration testing reports, which the reviewer says disqualifies it from Fortune 500 procurement in financial services, healthcare, and government [88]. This is a single-source claim that should be confirmed directly with the vendor.

Buyers treating AI visibility metrics as equivalent to stable search rankings or attributable revenue are also poorly served, since no verified evidence establishes that Peec AI improves rankings, citations, conversions, or revenue [82]. Teams without GEO expertise or internal content execution resources are a stated mismatch [89].

When Another Option May Be Better

Questions This Section Answers

  • What is a better alternative to Peec AI for a buyer who needs GEO content execution, not just monitoring?
  • Which alternative should a buyer consider if they need AI traffic attribution or 7+ engines on a standard plan?

Choose a managed GEO agency or specialist research provider when the buyer needs content production, digital PR, outreach, technical changes, implementation, and accountability in addition to measurement [90]. Kimi's research names several documented alternatives with published feature sets and pricing, including Cited, Citare, and GEOCitation.io, and recommends selecting a verified competitor if Peec AI cannot provide comprehensive documentation and demonstration [91].

Choose an enterprise-focused platform when the buyer needs materially broader model coverage, high-volume API access, SSO, data exports, custom integrations, or multi-brand governance [90]. Anthropic names Profound and AthenaHQ for end-to-end GEO execution or traffic attribution, and Profound for proprietary prompt-volume intelligence and shopping modules [94]. Google names RadarKit at $29/month for autonomous execution agents that write optimized content and manage outreach [95].

Choose a broader SEO suite when AI visibility is only one requirement and the buyer also needs mature keyword, backlink, technical SEO, content, and workflow capabilities [90]. Anthropic notes Peec AI has no content creation tooling, no site audits, and no traditional SEO features [96].

Evaluate a lower-cost visibility tracker when the need is limited to basic mention monitoring without URL-level citations, source-gap analysis, or GEO prioritization [90]. Anthropic cites OtterlyAI Lite at $29/month as a budget entry point with fewer features [94].

Questions to Verify Before Buying

Questions This Section Answers

  • What should a buyer confirm with Peec AI before signing a contract?
  • How can a buyer validate Peec AI's citation methodology and model coverage before committing?

Platforms supplied overlapping verification lists. The recurring items are: which exact AI engines and model variants are included in Pro, Advanced, and Enterprise for United States tracking [97]; whether citations are captured from the final answer, grounding documents, or retrieval traces, and how duplicate, absent, or conflicting citations are handled [97]; prompt, run, country, brand, product, and historical-data limits plus overage charges [97]; and whether API access, exports, Looker Studio, SSO, role controls, webhooks, white-label reporting, or data-warehouse integrations are included or paid add-ons [97].

Contract and compliance items also recur: annual commitment, cancellation, renewal, refund, data-retention, privacy, and service-level terms [97]; and SOC 2 Type II, HIPAA, or other compliance roadmap if the organization has enterprise security requirements [102].

Two verification items are specific to the conflicts in this study. First, confirm the current Enterprise model count, since sources disagree between 11 and 13 models and Peec AI's own pages reportedly differ [103]. Second, resolve the attribution conflict: independent reviews say there is no AI traffic estimation or citation-to-lead attribution [104], while another platform describes an AI Referrals feature with Google Analytics connection [106].

Platforms also recommend a paid pilot using the buyer's own priority prompts, comparing Peec results against direct manual or API observations [97], and requesting reference customers in the buyer's industry who have used the platform for six or more months [107].

Final AI Consensus Verdict

Peec AI is a good fit as a citation-intelligence and GEO measurement platform for teams that need competitor and source-gap analysis with prioritized actions across AI search. It is not a clearly verified full-service AI Search Partner for strategy execution.

The consensus is not uniform. Google and Grok rated fit strong; OpenAI and Perplexity rated it good; Anthropic and DeepSeek rated it mixed; Kimi rated it uncertain because it could not verify the entity at all. Three of seven platforms named it during ranking, at an average listed rank of 5.0.

The strongest supported case for buying is citation depth: URL- and domain-level tracking that separates used from cited sources, plus source-gap analysis and an Actions workflow that translates observed citations into content, PR, partnership, and outreach priorities [108]. The strongest case against is scope: the evidence supports diagnosis and prioritization, not content publishing, digital PR outreach, or technical remediation [111].

Purchase is most defensible after a plan-specific coverage test, written pricing confirmation, and clarification of implementation and Enterprise terms. Buyers who need execution should budget for a separate content or agency partner, and buyers with enterprise security requirements should confirm compliance status before procurement.

How This Review Was Produced

This review aggregates fit research submitted by seven AI platforms for the use case "AI Search Partners for Citation Intelligence and GEO Strategy," with a study date of 2026-09-18. Each platform independently assessed whether Peec AI fits the use case, named relevant products or plans, and supplied citations.

Three of the seven platforms named Peec AI during ranking discovery: OpenAI, Perplexity, and DeepSeek. The remaining four — Anthropic, Google, Grok, and Kimi — submitted fit research without naming the entity in ranking, so their ratings reflect fit assessment rather than ranking endorsement.

All platform outputs are platform-reported and were not independently verified by the writer stage. Citations are platform-reported evidence, not independently verified facts. Where a platform supplied no citation for a factual claim, that claim is labeled platform-reported or unverified in the text. Company-owned sources are distinguished from independent sources in the Sources section below.

Methodology Limitations

Several limitations materially affect how this review should be used.

Identity verification failed. Official-site retrieval for peec.ai returned an HTML-exceeded-size error, and identity matching used an exact-name fallback with the reported domain left unverified. One platform could not confirm the entity exists at all. Buyers should verify the contracting entity, legal name, and official sales channel directly.

Research dates differ. DeepSeek's research ran on 2026-06-12, roughly three months before the 2026-09-18 study date. Platform-reported dates are provenance metadata and do not independently prove freshness.

Pricing conflicts are unresolved. Monthly and annual figures differ across sources, as do extra-engine add-on prices and Enterprise inclusions. This review does not resolve those conflicts by guessing.

Model coverage conflicts are unresolved. Sources disagree on whether Enterprise covers 11 or 13 models, and on whether Claude is available as a self-serve add-on or Enterprise-only.

Attribution claims conflict. Independent reviews state there is no AI traffic estimation or citation-to-lead attribution; another platform describes an AI Referrals feature with Google Analytics connection. Both are reported here without resolution.

No outcome evidence. No verified evidence establishes that Peec AI improves rankings, citations, conversions, or revenue. Customer counts, ratings, and category-leadership claims are primarily company- or platform-reported.

Source URLs were not independently validated. The supplied URLs were collected from platform responses and were not independently validated by the writer stage.

Agreement is not quality. Platform agreement on a feature description does not prove the product performs as described or that it will produce results for any specific buyer.

Explore more ai search geo agencies guidance in the category directory.

Sources

Company-Owned Sources

  • Generative Engine Optimization Tool (GEO Software: https://aicitationmonitor.com/generative-engine-optimization-tool
  • B2B AI Visibility Services | Cite Solutions: https://cite.solutions/b2b-ai-visibility-services
  • Understanding sources - Peec.ai Docs: https://docs.peec.ai/understanding-sources
  • 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
  • A beginner's guide to source gap analysis in AI search - Peec AI: https://peec.ai/blog/a-beginners-guide-to-source-gap-analysis-in-ai-search
  • Introducing Actions - Peec AI: https://peec.ai/blog/introducing-actions
  • ChatGPT visibility tracker - Peec AI: https://peec.ai/chat-gpt-visibility-tracker
  • Pricing for Peec AI - AI Search Analytics for Marketing teams and SEO agencies: https://peec.ai/pricing
  • Peec AI - AI Visibility and Share of Voice Tracking: https://peec.ai/product/ai-visibility
  • Peec AI - AI Brand Perception and Sentiment Tracking: https://peec.ai/product/brand-perception
  • Citare — AI search intelligence + full SEO suite: https://www.citare.ai/
  • Cited for Enterprise | AI Search Visibility Across Markets: https://www.citedintel.com/for/enterprise
  • Cited Pricing | Self-Serve GEO Platform: https://www.citedintel.com/pricing
  • A GEO strategy that turns AI into revenue: https://www.citeme.io/services/geo-strategy
  • The AI Citability API for SEO/GEO Pros: https://www.geocitation.io/en
  • Additional AI research evidence113 records
    1. AI research evidence record openai:c1
    2. AI research evidence record anthropic:11-13
    3. AI research evidence record anthropic:11-15
    4. AI research evidence record openai:c4
    5. AI research evidence record anthropic:21-8
    6. AI research evidence record perplexity:c3
    7. AI research evidence record openai:c1
    8. AI research evidence record perplexity:c1
    9. AI research evidence record deepseek:c1
    10. AI research evidence record kimi:ranking-stage-note
    11. AI research evidence record openai:c1
    12. AI research evidence record anthropic:21-10
    13. AI research evidence record perplexity:c7
    14. AI research evidence record anthropic:11-13
    15. AI research evidence record anthropic:11-15
    16. AI research evidence record anthropic:14-2
    17. AI research evidence record anthropic:4-1
    18. AI research evidence record anthropic:30-2
    19. AI research evidence record anthropic:40-11
    20. AI research evidence record google:2.2.1
    21. AI research evidence record anthropic:11-13
    22. AI research evidence record anthropic:11-15
    23. AI research evidence record anthropic:17-2
    24. AI research evidence record openai:c1
    25. AI research evidence record grok:web:4
    26. AI research evidence record anthropic:1-1
    27. AI research evidence record perplexity:c1
    28. AI research evidence record anthropic:5-3
    29. AI research evidence record anthropic:15-1
    30. AI research evidence record anthropic:42-8
    31. AI research evidence record anthropic:25-8
    32. AI research evidence record google:2.2.1
    33. AI research evidence record anthropic:41-4
    34. AI research evidence record anthropic:21-8
    35. AI research evidence record anthropic:21-9
    36. AI research evidence record anthropic:21-10
    37. AI research evidence record google:2.2.8
    38. AI research evidence record perplexity:c3
    39. AI research evidence record perplexity:c6
    40. AI research evidence record openai:c2
    41. AI research evidence record anthropic:8-3
    42. AI research evidence record grok:web:1
    43. AI research evidence record perplexity:c5
    44. AI research evidence record anthropic:20-1
    45. AI research evidence record google:2.2.4
    46. AI research evidence record openai:c4
    47. AI research evidence record kimi:ranking-stage-note
    48. AI research evidence record anthropic:4-1
    49. AI research evidence record openai:c1
    50. AI research evidence record anthropic:17-2
    51. AI research evidence record anthropic:11-15
    52. AI research evidence record grok:web:4
    53. AI research evidence record openai:c3
    54. AI research evidence record google:2.2.1
    55. AI research evidence record anthropic:41-4
    56. AI research evidence record anthropic:43-4
    57. AI research evidence record anthropic:21-8
    58. AI research evidence record openai:c2
    59. AI research evidence record anthropic:18-5
    60. AI research evidence record anthropic:23-13
    61. AI research evidence record google:1.1.1
    62. AI research evidence record openai:c2
    63. AI research evidence record anthropic:8-3
    64. AI research evidence record grok:web:1
    65. AI research evidence record perplexity:c5
    66. AI research evidence record anthropic:20-1
    67. AI research evidence record google:2.2.4
    68. AI research evidence record google:2.2.8
    69. AI research evidence record anthropic:21-9
    70. AI research evidence record perplexity:c7
    71. AI research evidence record anthropic:21-10
    72. AI research evidence record openai:c1
    73. AI research evidence record google:2.2.2
    74. AI research evidence record deepseek:c1
    75. AI research evidence record perplexity:c3
    76. AI research evidence record openai:c1
    77. AI research evidence record anthropic:5-3
    78. AI research evidence record anthropic:42-8
    79. AI research evidence record anthropic:25-8
    80. AI research evidence record google:2.2.2
    81. AI research evidence record anthropic:41-11
    82. AI research evidence record openai:c1
    83. AI research evidence record anthropic:30-2
    84. AI research evidence record anthropic:43-4
    85. AI research evidence record anthropic:21-8
    86. AI research evidence record anthropic:21-10
    87. AI research evidence record anthropic:27-2
    88. AI research evidence record anthropic:45-6
    89. AI research evidence record anthropic:5-3
    90. AI research evidence record openai:c1
    91. AI research evidence record kimi:cited-pricing
    92. AI research evidence record kimi:citare-home
    93. AI research evidence record kimi:geocitation-api
    94. AI research evidence record anthropic:5-3
    95. AI research evidence record google:2.2.1
    96. AI research evidence record anthropic:38-1
    97. AI research evidence record openai:c1
    98. AI research evidence record anthropic:21-8
    99. AI research evidence record perplexity:c6
    100. AI research evidence record perplexity:c7
    101. AI research evidence record deepseek:c1
    102. AI research evidence record anthropic:45-6
    103. AI research evidence record anthropic:21-10
    104. AI research evidence record anthropic:18-5
    105. AI research evidence record anthropic:23-13
    106. AI research evidence record google:1.1.1
    107. AI research evidence record anthropic:5-3
    108. AI research evidence record openai:c1
    109. AI research evidence record openai:c3
    110. AI research evidence record anthropic:11-15
    111. AI research evidence record anthropic:30-2
    112. AI research evidence record anthropic:41-4
    113. AI research evidence record anthropic:43-4

Independent Sources

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

Study date
September 18, 2026
Platforms analyzed
7
Source records
53
Ranking mentions
3 of 7
Platform share
43%
Final consensus rank
#3

Research trail and source mix

Configured platforms

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

Source mix

35 independent · 18 company-owned

Evidence support

48 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 2091cd14285082373ce0ff79881542dbc69b271a38d5c661c0bc1358c944cfd9